From fa9da837e3134584c0b3117b8a90ee58afeafbbe Mon Sep 17 00:00:00 2001 From: networkandcode Date: Sun, 7 Jun 2026 23:19:02 +0530 Subject: [PATCH 01/60] strands a2a demo --- .../strands-a2a-client/.python-version | 1 + strands-a2a-demo/strands-a2a-client/README.md | 0 strands-a2a-demo/strands-a2a-client/main.py | 25 + .../strands-a2a-client/pyproject.toml | 9 + strands-a2a-demo/strands-a2a-client/uv.lock | 1273 +++++++++++ .../strands-a2a-server/.python-version | 1 + strands-a2a-demo/strands-a2a-server/README.md | 0 strands-a2a-demo/strands-a2a-server/main.py | 20 + .../strands-a2a-server/pyproject.toml | 11 + strands-a2a-demo/strands-a2a-server/uv.lock | 1943 +++++++++++++++++ 10 files changed, 3283 insertions(+) create mode 100644 strands-a2a-demo/strands-a2a-client/.python-version create mode 100644 strands-a2a-demo/strands-a2a-client/README.md create mode 100644 strands-a2a-demo/strands-a2a-client/main.py create mode 100644 strands-a2a-demo/strands-a2a-client/pyproject.toml create mode 100644 strands-a2a-demo/strands-a2a-client/uv.lock create mode 100644 strands-a2a-demo/strands-a2a-server/.python-version create mode 100644 strands-a2a-demo/strands-a2a-server/README.md create mode 100644 strands-a2a-demo/strands-a2a-server/main.py create mode 100644 strands-a2a-demo/strands-a2a-server/pyproject.toml create mode 100644 strands-a2a-demo/strands-a2a-server/uv.lock diff --git a/strands-a2a-demo/strands-a2a-client/.python-version b/strands-a2a-demo/strands-a2a-client/.python-version new file mode 100644 index 0000000..24ee5b1 --- /dev/null +++ b/strands-a2a-demo/strands-a2a-client/.python-version @@ -0,0 +1 @@ +3.13 diff --git a/strands-a2a-demo/strands-a2a-client/README.md b/strands-a2a-demo/strands-a2a-client/README.md new file mode 100644 index 0000000..e69de29 diff --git a/strands-a2a-demo/strands-a2a-client/main.py b/strands-a2a-demo/strands-a2a-client/main.py new file mode 100644 index 0000000..060ab18 --- /dev/null +++ b/strands-a2a-demo/strands-a2a-client/main.py @@ -0,0 +1,25 @@ +import asyncio + +from strands.agent.a2a_agent import A2AAgent + +async def main(): + agent = A2AAgent(endpoint="http://localhost:9000") + agent_card = await agent.get_agent_card() + + print("Invoking remote agent with agent card:") + for key, value in agent_card: + print(key, ":", value) + print('-' * 20) + + while True: + prompt = input("User: ") + if prompt.lower() == "exit": + break + + async for event in agent.stream_async(prompt): + if "result" in event: + print("AI: ", event["result"], end="", flush=True) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/strands-a2a-demo/strands-a2a-client/pyproject.toml b/strands-a2a-demo/strands-a2a-client/pyproject.toml new file mode 100644 index 0000000..5ac6832 --- /dev/null +++ b/strands-a2a-demo/strands-a2a-client/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "strands-a2a-client" +version = "0.1.0" +description = "Add your description here" +readme = 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22 + CLAUDE.md | 22 + Gemfile | 30 - Gemfile.lock | 275 - README.md | 45 +- _config.yml | 56 - _drafts/.html | 38 - _drafts/440__trashed.html | 27 - _drafts/jenkins-installation.html | 62 - ...er-installation-using-rke-on-google-c.html | 21 - _drafts/kubernetes-configmap.html | 31 - ...tes-sample-tasks-deploy-jenkins-in-ha.html | 292 - ...ted-access-to-private-docker-registry.html | 21 - _drafts/kubernetes-software-components.html | 32 - _drafts/kubernetes-volumes-secrets.html | 76 - ...s-cluster-some-information-about-etcd.html | 192 - _drafts/play-with-tcpdump.html | 21 - _drafts/tcp-refresher.html | 30 - _includes/analytics.html | 9 - _includes/search.html | 17 - _layouts/default.html | 27 - ...30-online-shop-with-nextjs-and-harperdb.md | 10 +- ...bootstrap-a-kubernetes-cluster-with-rke.md | 295 + ...eks-cluster-and-deploy-owasp-juice-shop.md | 300 + ...aws-ec2-instances-the-hard-way-with-cli.md | 263 + ...-12-05-setup-an-iam-user-in-aws-via-cli.md | 189 + ...2022-01-16-run-svelte-app-on-aws-cloud9.md | 10 +- ...1-16-run-svelte-solid-app-on-aws-cloud9.md | 199 + ...s-deployment-via-aws-codecommit-amplify.md | 10 +- ...s-deployment-via-aws-codecommit-amplify.md | 142 + ...ss-backend-setup-for-a-todo-list-in-aws.md | 10 +- ...ss-backend-setup-for-a-todo-list-in-aws.md | 286 + ...icket-scoring-app-using-appwrite-nextjs.md | 45 + ...icket-scoring-app-using-appwrite-nextjs.md | 10 +- ...ring-app-with-appwrite-and-nextjs-contd.md | 10 +- ...ring-app-with-appwrite-and-nextjs-contd.md | 389 ++ ...host-alexa-skill-on-aws-with-serverless.md | 10 +- ...mple-alexa-skill-on-aws-with-serverless.md | 304 + .../2022-06-11-install-appwrite-on-linode.md | 10 +- .../2022-06-13-install-harperdb-on-linode.md | 10 +- ...-school-admin-app-with-nextjs-on-linode.md | 10 +- ...ng-my-hands-on-neo4j-with-some-iot-data.md | 10 +- ...ng-my-hands-on-neo4j-with-some-iot-data.md | 230 + ...iot-core-on-google-cloud-with-terraform.md | 351 + ...iot-core-on-google-cloud-with-terraform.md | 10 +- .../2022-07-17-aws-iot-pub-sub-over-mqtt.md | 12 +- .../2022-07-17-aws-iot-pub-sub-over-mqtt.md | 294 + ...8-29-aws-cloudtrail-log-file-validation.md | 10 +- ...8-29-aws-cloudtrail-log-file-validation.md | 128 + .../2022-10-08-gcp-anthos-cluster-on-aws.md | 10 +- .../2022-10-08-gcp-anthos-cluster-on-aws.md | 418 ++ ...-11-20-subscribe-to-aws-iot-on-influxdb.md | 13 +- ...-subscribe-to-aws-iot-topic-on-influxdb.md | 84 + _posts/2023-01-09-harperdb-on-eks.md | 10 +- .../2023-01-09/2023-01-09-harperdb-on-eks.md | 404 ++ .../2023-01-13-harperdb-with-helm-on-eks.md | 10 +- .../2023-01-13-harperdb-with-helm-on-eks.md | 194 + .../2023-01-17-harperdb-with-anthos-on-gke.md | 145 + .../2023-01-18-harperdb-with-anthos-on-gke.md | 10 +- ...-03-harperdb-helm-chart-on-artifact-hub.md | 10 +- ...-03-harperdb-helm-chart-on-artifact-hub.md | 541 ++ ...y-harperdbs-rest-api-via-apollo-graphql.md | 12 +- ...-harperdb-s-rest-api-via-apollo-graphql.md | 490 ++ .../2023-05-22-notes-app-with-nextjs.md | 96 + ...crets-to-harperdb-container-with-python.md | 418 ++ ...n-rosa-red-hat-openshift-service-on-aws.md | 325 + .../2023-10-16-grafana-on-aws-marketplace.md | 88 + ...learning-byte-load-split-and-scale-data.md | 472 ++ ...2023-10-21-amazon-grafana-demo-with-eks.md | 216 + ...-23-m-l-learning-byte-linear-regression.md | 312 + ...y-harperdbs-rest-api-via-apollo-graphql.md | 12 +- ...ng-demo-with-adot-aws-x-ray-and-grafana.md | 217 + ...h-otel-collector-cloudwatch-and-grafana.md | 90 + ...onitoring-with-grafana-cloud-and-lambda.md | 370 + ...-12-grafana-otel-app-observability-demo.md | 199 + ...-07-18-otel-demo-with-eks-and-new-relic.md | 173 + ...-aws-alb-ingress-access-logs-on-grafana.md | 194 + ...uto-instrumentation-demo-for-springboot.md | 503 ++ ...2025-05-06-github-mcp-with-amazon-q-cli.md | 172 + ...28-a-simple-screening-agent-with-crewai.md | 136 + ...bility-with-langfuse-for-strands-agents.md | 209 + ...25-09-14-new-relic-template-for-strands.md | 75 + ...mple-rag-app-with-strands-reflex-and-s3.md | 61 + ...bedrock-structured-kb-glue-and-redshift.md | 219 + ...05-24-basics-of-gemma-4-with-google-adk.md | 169 + ...-simple-a2a-implementation-with-strands.md | 225 + ...tup-cluster-and-deploy-owasp-juice-shop.md | 4 +- ...-launch-instances-the-hard-way-with-cli.md | 4 +- .../2021-12-05-aws-iam-setup-user-via-cli.md | 4 +- ...ernetes-build-a-private-docker-registry.md | 4 +- ...et-user-and-group-with-security-context.md | 4 +- ...etes-retrieve-container-image-inventory.md | 4 +- ...7-kubernetes-launch-a-cluster-with-kind.md | 4 +- .../2021-08-07-owasp-juice-shop-run-as-pod.md | 4 +- ...kubernetes-bootstrap-a-cluster-with-rke.md | 6 +- ...rerequisites-for-kubeadm-cluster-in-aws.md | 4 +- ...bernetes-bootstrap-cluster-with-kubeadm.md | 4 +- ...020-02-25-add-a-kubectl-user-with-token.md | 4 +- .../2020-02-27-add-a-kubectl-user-with-tls.md | 4 +- .../2020-03-08-rbac-with-rolebinding.md | 4 +- ...2020-03-14-rbac-with-clusterrolebinding.md | 4 +- .../2020-03-16-cluster-admin.md | 4 +- ...10-24-check-the-components-of-a-cluster.md | 4 +- .../kubernetes/components/2019-10-24-etcd.md | 4 +- .../2019-12-21-add-an-extra-scheduler.md | 4 +- .../2019-12-26-addStaticPodsUsingKubelet.md | 4 +- .../2020-02-22-backup-and-restore-master.md | 4 +- .../2020-04-26-modify-kubelet-config.md | 4 +- ...tes-launch-a-cluster-gcloud-shell.markdown | 6 +- .../2020-02-29-launch-micro-k8s-on-ubuntu.md | 76 +- ...0-02-22-notes-from-forum-2020-blr.markdown | 4 +- .../2019-12-20-hard-node-affinity.md | 4 +- .../2019-12-20-soft-node-affinity.md | 4 +- .../pod/2020-02-14-role-of-docker.md | 4 +- .../kubernetes/pod/container-probes.markdown | 4 +- ...es-attach-configmap-as-pod-volume.markdown | 4 +- ...netes-attach-secret-as-pod-volume.markdown | 6 +- ...sp-juice-shop-scan-container-with-trivy.md | 4 +- ...23-owasp-juice-shop-run-the-app-locally.md | 4 +- .../2021-08-07-owasp-juice-shop-npm-audit.md | 4 +- ...08-07-owasp-juice-shop-run-as-container.md | 4 +- ...juice-shop-launch-with-own-docker-image.md | 4 +- ...sp-juice-shop-run-as-kubernetes-service.md | 4 +- ...2020-05-02-python-lists-tuples-and-sets.md | 4 +- .../2020-06-14-python-string-methods.md | 4 +- ...ing-configuration-with-jinja2-templates.md | 4 +- .../2020-06-22-python-functions-or-methods.md | 4 +- ...on-define-network-configuration-in-yaml.md | 4 +- ...2020-06-27-python-errors-and-exceptions.md | 648 +- ...2020-06-28-python-classes-and-instances.md | 6 +- .../python/2020-07-18-python-dictionaries.md | 4 +- .../2020-07-18-python-file-operations.md | 4 +- _posts/python/2020-07-25-python-user-input.md | 4 +- _posts/python/2020-07-26-python-loops.md | 4 +- .../2020-07-26-python-regular-expressions.md | 4 +- .../2020-10-20-python-import-modules.md | 4 +- .../2020-10-25-python-ways-to-run-code.md | 4 +- about.markdown | 19 - astro.config.mjs | 11 + index.markdown | 6 - package-lock.json | 6051 +++++++++++++++++ package.json | 18 + public/favicon.ico | Bin 0 -> 655 bytes public/favicon.svg | 9 + referrals.markdown | 24 - search-script.js | 6 - search.json | 16 - src/content.config.ts | 15 + src/data/accreditations.ts | 57 + src/data/certificates.ts | 32 + src/data/cv.json | 5 + src/data/githubStats.ts | 49 + src/data/projects.ts | 51 + src/data/videos.ts | 35 + src/layouts/BaseLayout.astro | 150 + src/lib/posts.ts | 23 + src/lib/syncCv.ts | 60 + src/lib/syncDevTo.ts | 61 + src/pages/about.astro | 124 + src/pages/accreditations.astro | 151 + src/pages/awards.astro | 159 + src/pages/blog/[...slug].astro | 130 + src/pages/blog/index.astro | 235 + src/pages/cv.astro | 123 + src/pages/github.astro | 305 + src/pages/index.astro | 409 ++ src/pages/projects.astro | 187 + src/pages/videos.astro | 189 + src/styles/global.css | 90 + tsconfig.json | 5 + 173 files changed, 20105 insertions(+), 1941 deletions(-) create mode 100644 .github/workflows/deploy.yml delete mode 100644 404.html create mode 100644 AGENTS.md create mode 100644 CLAUDE.md delete mode 100644 Gemfile delete mode 100644 Gemfile.lock delete mode 100644 _config.yml delete mode 100644 _drafts/.html delete mode 100644 _drafts/440__trashed.html delete mode 100644 _drafts/jenkins-installation.html delete mode 100644 _drafts/k8s-cluster-installation-using-rke-on-google-c.html delete mode 100644 _drafts/kubernetes-configmap.html delete mode 100644 _drafts/kubernetes-sample-tasks-deploy-jenkins-in-ha.html delete mode 100644 _drafts/kubernetes-sample-tasks-restricted-access-to-private-docker-registry.html delete mode 100644 _drafts/kubernetes-software-components.html delete mode 100644 _drafts/kubernetes-volumes-secrets.html delete mode 100644 _drafts/kubernets-cluster-some-information-about-etcd.html delete mode 100644 _drafts/play-with-tcpdump.html delete mode 100644 _drafts/tcp-refresher.html delete mode 100644 _includes/analytics.html delete mode 100644 _includes/search.html delete mode 100644 _layouts/default.html create mode 100644 _posts/2021-10-14/2021-10-14-bootstrap-a-kubernetes-cluster-with-rke.md create mode 100644 _posts/2021-10-16/2021-10-16-setup-an-aws-eks-cluster-and-deploy-owasp-juice-shop.md create mode 100644 _posts/2021-11-14/2021-11-14-launch-aws-ec2-instances-the-hard-way-with-cli.md create mode 100644 _posts/2021-12-05/2021-12-05-setup-an-iam-user-in-aws-via-cli.md create mode 100644 _posts/2022-01-16/2022-01-16-run-svelte-solid-app-on-aws-cloud9.md create mode 100644 _posts/2022-03-19/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md create mode 100644 _posts/2022-04-10/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md create mode 100644 _posts/2022-05-11/2022-05-11-cricket-scoring-app-using-appwrite-nextjs.md create mode 100644 _posts/2022-05-19/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md create mode 100644 _posts/2022-05-31/2022-05-31-a-sample-alexa-skill-on-aws-with-serverless.md create mode 100644 _posts/2022-06-30/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md create mode 100644 _posts/2022-07-07/2022-07-07-setup-iot-core-on-google-cloud-with-terraform.md create mode 100644 _posts/2022-07-17/2022-07-17-aws-iot-pub-sub-over-mqtt.md create mode 100644 _posts/2022-08-29/2022-08-29-aws-cloudtrail-log-file-validation.md create mode 100644 _posts/2022-10-08/2022-10-08-gcp-anthos-cluster-on-aws.md create mode 100644 _posts/2022-11-20/2022-11-20-subscribe-to-aws-iot-topic-on-influxdb.md create mode 100644 _posts/2023-01-09/2023-01-09-harperdb-on-eks.md create mode 100644 _posts/2023-01-13/2023-01-13-harperdb-with-helm-on-eks.md create mode 100644 _posts/2023-01-17/2023-01-17-harperdb-with-anthos-on-gke.md create mode 100644 _posts/2023-02-03/2023-02-03-harperdb-helm-chart-on-artifact-hub.md create mode 100644 _posts/2023-02-17/2023-02-17-query-harperdb-s-rest-api-via-apollo-graphql.md create mode 100644 _posts/2023-05-22/2023-05-22-notes-app-with-nextjs.md create mode 100644 _posts/2023-05-27/2023-05-27-injecting-aws-secrets-to-harperdb-container-with-python.md create mode 100644 _posts/2023-06-13/2023-06-13-deploy-harperdb-on-rosa-red-hat-openshift-service-on-aws.md create mode 100644 _posts/2023-10-16/2023-10-16-grafana-on-aws-marketplace.md create mode 100644 _posts/2023-10-16/2023-10-16-m-l-learning-byte-load-split-and-scale-data.md create mode 100644 _posts/2023-10-21/2023-10-21-amazon-grafana-demo-with-eks.md create mode 100644 _posts/2023-10-23/2023-10-23-m-l-learning-byte-linear-regression.md create mode 100644 _posts/2024-04-26/2024-04-26-otel-tracing-demo-with-adot-aws-x-ray-and-grafana.md create mode 100644 _posts/2024-05-11/2024-05-11-logging-demo-with-otel-collector-cloudwatch-and-grafana.md create mode 100644 _posts/2024-05-18/2024-05-18-synthetic-monitoring-with-grafana-cloud-and-lambda.md create mode 100644 _posts/2024-07-12/2024-07-12-grafana-otel-app-observability-demo.md create mode 100644 _posts/2024-07-18/2024-07-18-otel-demo-with-eks-and-new-relic.md create mode 100644 _posts/2024-10-01/2024-10-01-aws-alb-ingress-access-logs-on-grafana.md create mode 100644 _posts/2024-10-11/2024-10-11-otel-auto-instrumentation-demo-for-springboot.md create mode 100644 _posts/2025-05-06/2025-05-06-github-mcp-with-amazon-q-cli.md create mode 100644 _posts/2025-06-28/2025-06-28-a-simple-screening-agent-with-crewai.md create mode 100644 _posts/2025-08-30/2025-08-30-otel-observability-with-langfuse-for-strands-agents.md create mode 100644 _posts/2025-09-14/2025-09-14-new-relic-template-for-strands.md create mode 100644 _posts/2025-09-29/2025-09-29-sample-rag-app-with-strands-reflex-and-s3.md create mode 100644 _posts/2026-05-03/2026-05-03-query-db-with-natural-language-using-aws-bedrock-structured-kb-glue-and-redshift.md create mode 100644 _posts/2026-05-24/2026-05-24-basics-of-gemma-4-with-google-adk.md create mode 100644 _posts/2026-06-07/2026-06-07-simple-a2a-implementation-with-strands.md rename 2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md => _posts/kubernetes/2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md (99%) delete mode 100644 about.markdown create mode 100644 astro.config.mjs delete mode 100644 index.markdown create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 public/favicon.ico create mode 100644 public/favicon.svg delete mode 100644 referrals.markdown delete mode 100644 search-script.js delete mode 100644 search.json create mode 100644 src/content.config.ts create mode 100644 src/data/accreditations.ts create mode 100644 src/data/certificates.ts create mode 100644 src/data/cv.json create mode 100644 src/data/githubStats.ts create mode 100644 src/data/projects.ts create mode 100644 src/data/videos.ts create mode 100644 src/layouts/BaseLayout.astro create mode 100644 src/lib/posts.ts create mode 100644 src/lib/syncCv.ts create mode 100644 src/lib/syncDevTo.ts create mode 100644 src/pages/about.astro create mode 100644 src/pages/accreditations.astro create mode 100644 src/pages/awards.astro create mode 100644 src/pages/blog/[...slug].astro create mode 100644 src/pages/blog/index.astro create mode 100644 src/pages/cv.astro create mode 100644 src/pages/github.astro create mode 100644 src/pages/index.astro create mode 100644 src/pages/projects.astro create mode 100644 src/pages/videos.astro create mode 100644 src/styles/global.css create mode 100644 tsconfig.json diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml new file mode 100644 index 0000000..779c224 --- /dev/null +++ b/.github/workflows/deploy.yml @@ -0,0 +1,51 @@ +name: Deploy Astro site to GitHub Pages + +on: + push: + branches: ["main", "master"] + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + build: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Setup Node + uses: actions/setup-node@v4 + with: + node-version: "20" + cache: "npm" + + - name: Install dependencies + run: npm ci + + - name: Build Astro site + run: npm run build + + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: ./dist + + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + needs: build + runs-on: ubuntu-latest + name: Deploy + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 diff --git a/.gitignore b/.gitignore index 0c78d2b..0a885fc 100644 --- a/.gitignore +++ b/.gitignore @@ -1,11 +1,29 @@ -_site -.sass-cache -.jekyll-cache -.jekyll-metadata -vendor - **/.DS_Store **/.env **/__pycache__ **/.venv -k3s.yaml \ No newline at end of file + +# build output +dist/ +# generated types +.astro/ + +# dependencies +node_modules/ + +# logs +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* + + +# environment variables +.env +.env.production + +# macOS-specific files +.DS_Store + +# jetbrains setting folder +.idea/ diff --git a/404.html b/404.html deleted file mode 100644 index 086a5c9..0000000 --- a/404.html +++ /dev/null @@ -1,25 +0,0 @@ ---- -permalink: /404.html -layout: default ---- - - - -
-

404

- -

Page not found :(

-

The requested page could not be found.

-
diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..c5ff429 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,22 @@ +## Development + +When starting the dev server, use background mode: + +``` +astro dev --background +``` + +Manage the background server with `astro dev stop`, `astro dev status`, and `astro dev logs`. + +## Documentation + +Full documentation: https://docs.astro.build + +Consult these guides before working on related tasks: + +- [Adding pages, dynamic routes, or middleware](https://docs.astro.build/en/guides/routing/) +- [Working with Astro components](https://docs.astro.build/en/basics/astro-components/) +- [Using React, Vue, Svelte, or other framework components](https://docs.astro.build/en/guides/framework-components/) +- [Adding or managing content](https://docs.astro.build/en/guides/content-collections/) +- [Adding styles or using Tailwind](https://docs.astro.build/en/guides/styling/) +- [Supporting multiple languages](https://docs.astro.build/en/guides/internationalization/) diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..c5ff429 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,22 @@ +## Development + +When starting the dev server, use background mode: + +``` +astro dev --background +``` + +Manage the background server with `astro dev stop`, `astro dev status`, and `astro dev logs`. + +## Documentation + +Full documentation: https://docs.astro.build + +Consult these guides before working on related tasks: + +- [Adding pages, dynamic routes, or middleware](https://docs.astro.build/en/guides/routing/) +- [Working with Astro components](https://docs.astro.build/en/basics/astro-components/) +- [Using React, Vue, Svelte, or other framework components](https://docs.astro.build/en/guides/framework-components/) +- [Adding or managing content](https://docs.astro.build/en/guides/content-collections/) +- [Adding styles or using Tailwind](https://docs.astro.build/en/guides/styling/) +- [Supporting multiple languages](https://docs.astro.build/en/guides/internationalization/) diff --git a/Gemfile b/Gemfile deleted file mode 100644 index e0cba77..0000000 --- a/Gemfile +++ /dev/null @@ -1,30 +0,0 @@ -source "https://rubygems.org" -# Hello! This is where you manage which Jekyll version is used to run. -# When you want to use a different version, change it below, save the -# file and run `bundle install`. Run Jekyll with `bundle exec`, like so: -# -# bundle exec jekyll serve -# -# This will help ensure the proper Jekyll version is running. -# Happy Jekylling! -#gem "jekyll", "~> 4.0.0" -# This is the default theme for new Jekyll sites. You may change this to anything you like. -gem "minima", "~> 2.5" -# If you want to use GitHub Pages, remove the "gem "jekyll"" above and -# uncomment the line below. To upgrade, run `bundle update github-pages`. -gem "github-pages", "~> 204", group: :jekyll_plugins -# If you have any plugins, put them here! -group :jekyll_plugins do - gem "jekyll-feed", "~> 0.12" -end - -# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem -# and associated library. -install_if -> { RUBY_PLATFORM =~ %r!mingw|mswin|java! } do - gem "tzinfo", "~> 1.2" - gem "tzinfo-data" -end - -# Performance-booster for watching directories on Windows -gem "wdm", "~> 0.1.1", :install_if => Gem.win_platform? - diff --git a/Gemfile.lock b/Gemfile.lock deleted file mode 100644 index c5b3855..0000000 --- a/Gemfile.lock +++ /dev/null @@ -1,275 +0,0 @@ -GEM - remote: https://rubygems.org/ - specs: - activesupport (6.0.6.1) - concurrent-ruby (~> 1.0, >= 1.0.2) - i18n (>= 0.7, < 2) - minitest (~> 5.1) - tzinfo (~> 1.1) - zeitwerk (~> 2.2, >= 2.2.2) - addressable (2.8.0) - public_suffix (>= 2.0.2, < 5.0) - coffee-script (2.4.1) - coffee-script-source - execjs - coffee-script-source (1.11.1) - colorator (1.1.0) - commonmarker (0.17.13) - ruby-enum (~> 0.5) - concurrent-ruby (1.2.0) - dnsruby (1.61.5) - simpleidn (~> 0.1) - em-websocket (0.5.2) - eventmachine (>= 0.12.9) - http_parser.rb (~> 0.6.0) - ethon (0.14.0) - ffi (>= 1.15.0) - eventmachine (1.2.7) - execjs (2.8.1) - faraday (1.4.2) - faraday-em_http (~> 1.0) - faraday-em_synchrony (~> 1.0) - faraday-excon (~> 1.1) - faraday-net_http (~> 1.0) - faraday-net_http_persistent (~> 1.1) - multipart-post (>= 1.2, < 3) - ruby2_keywords (>= 0.0.4) - faraday-em_http (1.0.0) - faraday-em_synchrony (1.0.0) - faraday-excon (1.1.0) - faraday-net_http (1.0.1) - faraday-net_http_persistent (1.1.0) - ffi (1.15.1) - forwardable-extended (2.6.0) - gemoji (3.0.1) - github-pages (204) - github-pages-health-check (= 1.16.1) - jekyll (= 3.8.5) - jekyll-avatar (= 0.7.0) - jekyll-coffeescript (= 1.1.1) - jekyll-commonmark-ghpages (= 0.1.6) - jekyll-default-layout (= 0.1.4) - jekyll-feed (= 0.13.0) - jekyll-gist (= 1.5.0) - jekyll-github-metadata (= 2.13.0) - jekyll-mentions (= 1.5.1) - jekyll-optional-front-matter (= 0.3.2) - jekyll-paginate (= 1.1.0) - jekyll-readme-index (= 0.3.0) - jekyll-redirect-from (= 0.15.0) - jekyll-relative-links (= 0.6.1) - jekyll-remote-theme (= 0.4.1) - jekyll-sass-converter (= 1.5.2) - jekyll-seo-tag (= 2.6.1) - jekyll-sitemap (= 1.4.0) - jekyll-swiss (= 1.0.0) - jekyll-theme-architect (= 0.1.1) - jekyll-theme-cayman (= 0.1.1) - jekyll-theme-dinky (= 0.1.1) - jekyll-theme-hacker (= 0.1.1) - jekyll-theme-leap-day (= 0.1.1) - jekyll-theme-merlot (= 0.1.1) - jekyll-theme-midnight (= 0.1.1) - jekyll-theme-minimal (= 0.1.1) - jekyll-theme-modernist (= 0.1.1) - jekyll-theme-primer (= 0.5.4) - jekyll-theme-slate (= 0.1.1) - jekyll-theme-tactile (= 0.1.1) - jekyll-theme-time-machine (= 0.1.1) - jekyll-titles-from-headings (= 0.5.3) - jemoji (= 0.11.1) - kramdown (= 1.17.0) - liquid (= 4.0.3) - mercenary (~> 0.3) - minima (= 2.5.1) - nokogiri (>= 1.10.4, < 2.0) - rouge (= 3.13.0) - terminal-table (~> 1.4) - github-pages-health-check (1.16.1) - addressable (~> 2.3) - dnsruby (~> 1.60) - octokit (~> 4.0) - public_suffix (~> 3.0) - typhoeus (~> 1.3) - html-pipeline (2.14.0) - activesupport (>= 2) - nokogiri (>= 1.4) - http_parser.rb (0.6.0) - i18n (0.9.5) - concurrent-ruby (~> 1.0) - jekyll (3.8.5) - addressable (~> 2.4) - colorator (~> 1.0) - em-websocket (~> 0.5) - i18n (~> 0.7) - jekyll-sass-converter (~> 1.0) - jekyll-watch (~> 2.0) - kramdown (~> 1.14) - liquid (~> 4.0) - mercenary (~> 0.3.3) - pathutil (~> 0.9) - rouge (>= 1.7, < 4) - safe_yaml (~> 1.0) - jekyll-avatar (0.7.0) - jekyll (>= 3.0, < 5.0) - jekyll-coffeescript (1.1.1) - coffee-script (~> 2.2) - coffee-script-source (~> 1.11.1) - jekyll-commonmark (1.3.1) - commonmarker (~> 0.14) - jekyll (>= 3.7, < 5.0) - jekyll-commonmark-ghpages (0.1.6) - commonmarker (~> 0.17.6) - jekyll-commonmark (~> 1.2) - rouge (>= 2.0, < 4.0) - jekyll-default-layout (0.1.4) - jekyll (~> 3.0) - jekyll-feed (0.13.0) - jekyll (>= 3.7, < 5.0) - jekyll-gist (1.5.0) - octokit (~> 4.2) - jekyll-github-metadata (2.13.0) - jekyll (>= 3.4, < 5.0) - octokit (~> 4.0, != 4.4.0) - jekyll-mentions (1.5.1) - html-pipeline (~> 2.3) - jekyll (>= 3.7, < 5.0) - jekyll-optional-front-matter (0.3.2) - jekyll (>= 3.0, < 5.0) - jekyll-paginate (1.1.0) - jekyll-readme-index (0.3.0) - jekyll (>= 3.0, < 5.0) - jekyll-redirect-from (0.15.0) - jekyll (>= 3.3, < 5.0) - jekyll-relative-links (0.6.1) - jekyll (>= 3.3, < 5.0) - jekyll-remote-theme (0.4.1) - addressable (~> 2.0) - jekyll (>= 3.5, < 5.0) - rubyzip (>= 1.3.0) - jekyll-sass-converter (1.5.2) - sass (~> 3.4) - jekyll-seo-tag (2.6.1) - jekyll (>= 3.3, < 5.0) - jekyll-sitemap (1.4.0) - jekyll (>= 3.7, < 5.0) - jekyll-swiss (1.0.0) - jekyll-theme-architect (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-cayman (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-dinky (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-hacker (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-leap-day (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-merlot (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-midnight (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-minimal (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-modernist (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-primer (0.5.4) - jekyll (> 3.5, < 5.0) - jekyll-github-metadata (~> 2.9) - jekyll-seo-tag (~> 2.0) - jekyll-theme-slate (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-tactile (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-theme-time-machine (0.1.1) - jekyll (~> 3.5) - jekyll-seo-tag (~> 2.0) - jekyll-titles-from-headings (0.5.3) - jekyll (>= 3.3, < 5.0) - jekyll-watch (2.2.1) - listen (~> 3.0) - jemoji (0.11.1) - gemoji (~> 3.0) - html-pipeline (~> 2.2) - jekyll (>= 3.0, < 5.0) - kramdown (1.17.0) - liquid (4.0.3) - listen (3.5.1) - rb-fsevent (~> 0.10, >= 0.10.3) - rb-inotify (~> 0.9, >= 0.9.10) - mercenary (0.3.6) - mini_portile2 (2.8.9) - minima (2.5.1) - jekyll (>= 3.5, < 5.0) - jekyll-feed (~> 0.9) - jekyll-seo-tag (~> 2.1) - minitest (5.17.0) - multipart-post (2.1.1) - nokogiri (1.18.9) - mini_portile2 (~> 2.8.2) - racc (~> 1.4) - octokit (4.21.0) - faraday (>= 0.9) - sawyer (~> 0.8.0, >= 0.5.3) - pathutil (0.16.2) - forwardable-extended (~> 2.6) - public_suffix (3.1.1) - racc (1.8.1) - rb-fsevent (0.11.0) - rb-inotify (0.10.1) - ffi (~> 1.0) - rouge (3.13.0) - ruby-enum (0.9.0) - i18n - ruby2_keywords (0.0.4) - rubyzip (2.3.0) - safe_yaml (1.0.5) - sass (3.7.4) - sass-listen (~> 4.0.0) - sass-listen (4.0.0) - rb-fsevent (~> 0.9, >= 0.9.4) - rb-inotify (~> 0.9, >= 0.9.7) - sawyer (0.8.2) - addressable (>= 2.3.5) - faraday (> 0.8, < 2.0) - simpleidn (0.2.1) - unf (~> 0.1.4) - terminal-table (1.8.0) - unicode-display_width (~> 1.1, >= 1.1.1) - thread_safe (0.3.6) - typhoeus (1.4.0) - ethon (>= 0.9.0) - tzinfo (1.2.10) - thread_safe (~> 0.1) - tzinfo-data (1.2021.1) - tzinfo (>= 1.0.0) - unf (0.1.4) - unf_ext - unf_ext (0.0.7.7) - unicode-display_width (1.7.0) - wdm (0.1.1) - zeitwerk (2.6.6) - -PLATFORMS - ruby - -DEPENDENCIES - github-pages (~> 204) - jekyll-feed (~> 0.12) - minima (~> 2.5) - tzinfo (~> 1.2) - tzinfo-data - wdm (~> 0.1.1) - -BUNDLED WITH - 2.1.4 diff --git a/README.md b/README.md index 0324fe2..87b813a 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,43 @@ -# networkandcode.github.io -This site holds notes/posts related to technical topics such as cloud, containers, networking, automation, and so on. The tech keywords for search in the site include Kubernetes, OpenStack, Ansible, Python, etc. +# Astro Starter Kit: Minimal + +```sh +npm create astro@latest -- --template minimal +``` + +> 🧑‍🚀 **Seasoned astronaut?** Delete this file. Have fun! + +## 🚀 Project Structure + +Inside of your Astro project, you'll see the following folders and files: + +```text +/ +├── public/ +├── src/ +│ └── pages/ +│ └── index.astro +└── package.json +``` + +Astro looks for `.astro` or `.md` files in the `src/pages/` directory. Each page is exposed as a route based on its file name. + +There's nothing special about `src/components/`, but that's where we like to put any Astro/React/Vue/Svelte/Preact components. + +Any static assets, like images, can be placed in the `public/` directory. + +## 🧞 Commands + +All commands are run from the root of the project, from a terminal: + +| Command | Action | +| :------------------------ | :----------------------------------------------- | +| `npm install` | Installs dependencies | +| `npm run dev` | Starts local dev server at `localhost:4321` | +| `npm run build` | Build your production site to `./dist/` | +| `npm run preview` | Preview your build locally, before deploying | +| `npm run astro ...` | Run CLI commands like `astro add`, `astro check` | +| `npm run astro -- --help` | Get help using the Astro CLI | + +## 👀 Want to learn more? + +Feel free to check [our documentation](https://docs.astro.build) or jump into our [Discord server](https://astro.build/chat). diff --git a/_config.yml b/_config.yml deleted file mode 100644 index fb4c4d8..0000000 --- a/_config.yml +++ /dev/null @@ -1,56 +0,0 @@ -# Welcome to Jekyll! -# -# This config file is meant for settings that affect your whole blog, values -# which you are expected to set up once and rarely edit after that. If you find -# yourself editing this file very often, consider using Jekyll's data files -# feature for the data you need to update frequently. -# -# For technical reasons, this file is *NOT* reloaded automatically when you use -# 'bundle exec jekyll serve'. If you change this file, please restart the server process. -# -# If you need help with YAML syntax, here are some quick references for you: -# https://learn-the-web.algonquindesign.ca/topics/markdown-yaml-cheat-sheet/#yaml -# https://learnxinyminutes.com/docs/yaml/ -# -# Site settings -# These are used to personalize your new site. If you look in the HTML files, -# you will see them accessed via {{ site.title }}, {{ site.email }}, and so on. -# You can create any custom variable you would like, and they will be accessible -# in the templates via {{ site.myvariable }}. - -title: networkandcode -#email: your-email@example.com -description: >- # this means to ignore newlines until "baseurl:" - blog > practice > share | [ network coding cloud… ] - This site holds notes/posts related to technical topics such as cloud, - containers, networking, automation, and so on. The tech keywords for search in the site include - Kubernetes, OpenStack, Ansible, Python, etc. -baseurl: "" # the subpath of your site, e.g. /blog -url: "" # the base hostname & protocol for your site, e.g. http://example.com -twitter_username: networkandcode -github_username: networkandcode - -# Build settings -theme: architect -plugins: - - jekyll-feed - -# Exclude from processing. -# The following items will not be processed, by default. -# Any item listed under the `exclude:` key here will be automatically added to -# the internal "default list". -# -# Excluded items can be processed by explicitly listing the directories or -# their entries' file path in the `include:` list. -# -# exclude: -# - .sass-cache/ -# - .jekyll-cache/ -# - gemfiles/ -# - Gemfile -# - Gemfile.lock -# - node_modules/ -# - vendor/bundle/ -# - vendor/cache/ -# - vendor/gems/ -# - vendor/ruby/ diff --git a/_drafts/.html b/_drafts/.html deleted file mode 100644 index fce54ac..0000000 --- a/_drafts/.html +++ /dev/null @@ -1,38 +0,0 @@ ---- -layout: post -title: '' -date: -type: post -parent_id: '0' -published: false -password: '' -status: draft -categories: [] -tags: [] -meta: {} -author: - login: shak1r - email: shakir@techie.com - display_name: shakir - first_name: '' - last_name: '' -permalink: "/" ---- -

Let's create a namespace

-

-networkandcode:$ cat ex23-ns.yaml
----
-apiVersion: v1
-kind: Namespace
-metadata:
-  name: ns23
-...
-networkandcode:$ kubectl create -f ex23-ns.yaml
-namespace/ns23 created
-
-

To verify

-

-networkandcode:$ kubectl get ns/ns23
-NAME   STATUS   AGE
-ns23   Active   8s
-
diff --git a/_drafts/440__trashed.html b/_drafts/440__trashed.html deleted file mode 100644 index 22f1936..0000000 --- a/_drafts/440__trashed.html +++ /dev/null @@ -1,27 +0,0 @@ ---- -layout: post -title: slides -date: -type: post -parent_id: '0' -published: false -password: '' -status: trash -categories: [] -tags: [] -meta: - _wpas_skip_18169689: '1' - _wpas_skip_18195285: '1' - _rest_api_published: '1' - _rest_api_client_id: "-1" - _publicize_job_id: '12782929437' - _wp_desired_post_slug: '440' -author: - login: shak1r - email: shakir@techie.com - display_name: shakir - first_name: '' - last_name: '' -permalink: "/2017/12/22/440__trashed/" ---- -

open networking overview and command reference to ports, bridging, and static routing on hosts (ex: ubuntu) and network devices (cumulus)

diff --git a/_drafts/jenkins-installation.html b/_drafts/jenkins-installation.html deleted file mode 100644 index e8ec384..0000000 --- a/_drafts/jenkins-installation.html +++ /dev/null @@ -1,62 +0,0 @@ ---- -layout: post -title: Jenkins > Installation -date: -type: post -parent_id: '0' -published: false -password: '' -status: draft -categories: [] -tags: [] -meta: {} -author: - login: shak1r - email: shakir@techie.com - display_name: shakir - first_name: '' - last_name: '' -permalink: "/" ---- -
-
```
-
---
-- OS we are using: Ubuntu 19.04
-- Prerequisites:
-- H/W:
-- 256 MB RAM, 512 MB recommended
-- 10 GB Hard Disk
-- S/W:
-- Java8:
-- sudo apt-get update
-- sudo apt-get install openjdk-8-jre
-- Docker CE:
-- Add the GPG key:
-- curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
-- Add repository:
-- sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable edge test"
-- Note that the stable version of docker ce for Ubuntu 19.04 doesn't exist as of this writing
-- Hence, we had to use edge/test version
-- Ensure installing docker from the repository added above, and not from the ubuntu default repo:
-- apt-cache policy docker-ce
-- Install Docker:
-- sudo apt-get install docker -y
-- verify installation: docker version
-- Install Jenkins:
-- Download Jenkins: wget http://mirrors.jenkins.io/war-stable/latest/jenkins.war
-- Compile with Java and assign a web port: java -jar jenkins.war --httpPort=8080
-- Jenkins should be running now on port 8080
-- To access Jenkins, use the IP and port on the browser or curl it
-- It can be accessed via http://localhost:8080 or http://<ipaddress>:8080
-- Following the instructions on the screen to complete the installation
-- In my case the Administrator password was found in /home/networkandcode/.jenkins/secrets/initialAdminPassword
-- That had to be entered to proceed with the installation
-- I have chosen to Install Jenkins with suggested Plugins (recommended by the community)
-- Examples of Plugins are Git, Gradle, LDAP
-- Set up admin credentials, name and email
-- you can change the URL if required
-- The setup is now complete
-- It shows the complete Jenkins dashboard, and new jobs could now be created
-...
-
```
-
diff --git a/_drafts/k8s-cluster-installation-using-rke-on-google-c.html b/_drafts/k8s-cluster-installation-using-rke-on-google-c.html deleted file mode 100644 index bbe429b..0000000 --- a/_drafts/k8s-cluster-installation-using-rke-on-google-c.html +++ /dev/null @@ -1,21 +0,0 @@ ---- -layout: post -title: K8S > Cluster > Installation using RKE on Google c -date: -type: post -parent_id: '0' -published: false -password: '' -status: draft -categories: [] -tags: [] -meta: {} -author: - login: shak1r - email: shakir@techie.com - display_name: shakir - first_name: '' - last_name: '' -permalink: "/" ---- - diff --git a/_drafts/kubernetes-configmap.html b/_drafts/kubernetes-configmap.html deleted file mode 100644 index 3954515..0000000 --- a/_drafts/kubernetes-configmap.html +++ /dev/null @@ -1,31 +0,0 @@ ---- -layout: post -title: Kubernetes > ConfigMap -date: -type: post -parent_id: '0' -published: false -password: '' -status: draft -categories: [] -tags: [] -meta: {} -author: - login: shak1r - email: shakir@techie.com - display_name: shakir - first_name: '' - last_name: '' -permalink: "/" ---- -

-

ConfigMaps are dictionaries or maps holding a set of key value pairs. ConfigMaps are also Kubernetes objects. For example if there is a Pod and there are lots of configuration in it, we can keep the Pod configuration/manifest simple by keeping all the configuration related information separately as a ConfigMap, and we would then relate the Pod with the ConfigMap so that the Pod takes it's configuration from the ConfigMap.

-

-

-

ConfigMaps can also be thought of like 'Secrets' which are again Kubernetes objects holding key value pairs, however the difference is that Secrets contain encrypted data and are more secure, where as ConfigMaps contain unencrypted data and are often used to store data that is no sensitive

-

-

-
-

-

-

diff --git a/_drafts/kubernetes-sample-tasks-deploy-jenkins-in-ha.html b/_drafts/kubernetes-sample-tasks-deploy-jenkins-in-ha.html deleted file mode 100644 index dd9ebf5..0000000 --- a/_drafts/kubernetes-sample-tasks-deploy-jenkins-in-ha.html +++ /dev/null @@ -1,292 +0,0 @@ ---- -layout: post -title: Kubernetes > Sample tasks > Deploy Jenkins in HA -date: -type: post -parent_id: '0' -published: false -password: '' -status: draft -categories: [] -tags: [] -meta: {} -author: - login: shak1r - email: shakir@techie.com - display_name: shakir - first_name: '' - last_name: '' -permalink: "/" ---- -

Create a GCE persistent disk of capacity 10GB

-

-networkandcode@cloudshell:~ gcloud compute disks create disk29-nfs --zone us-central1-a --size 10
-
-

Define a PVC manifest to claim the GCE PD created above

-

-networkandcode@k8s-master:~ cat ex29-pvc-nfs.yaml
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: pvc29-nfs
-spec:
-  accessModes:
-  - "ReadWriteOnce"
-  resources:
-    requests:
-      storage: 10Gi
-...
-
-

Create the PVC

-

-networkandcode@k8s-master:~ kubectl create -f ex29-pvc-nfs.yaml
-
-

View the PVC's status

-

-networkandcode@k8s-master:~ kubectl get pvc pvc29-nfs
-NAME        STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS   AGE
-pvc29-nfs   Bound    pvc-41633f2b-c237-11e9-aeed-42010a800181   10Gi       RWO            standard       3m7s
-
-

To view more details about the PVC, tail -2 is used to view the last 2 lines of the output. The o/p shows a volume was claimed using a GCE PD.

-

-networkandcode@k8s-master:~ kubectl describe pvc | tail -2
-  Normal     ProvisioningSucceeded  4m50s  persistentvolume-controller  Successfully provisioned volume pvc-41633f2b-c237-11e9-aeed-42010a800181 using kubernetes.
-io/gce-pd
-Mounted By:  
-
-

Let's define a manifest to deploy the NFS server and mount the volume provisioned above

-

-networkandcode@k8s-master:~ cat ex29-deploy-nfs.yaml
----
-apiVersion: extensions/v1beta1
-kind: Deployment
-metadata:
-  name: deploy29-nfs
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      tag: label29-nfs
-  template:
-    metadata:
-      labels:
-        tag: label29-nfs
-    spec:
-      volumes:
-      - name: vol29-nfs
-        persistentVolumeClaim:
-          claimName: pvc29-nfs
-      containers:
-      - name: ctr29-nfs
-        image: k8s.gcr.io/volume-nfs:0.8
-        securityContext:
-          privileged: true
-        volumeMounts:
-        - name: vol29-nfs
-          mountPath: /exports
-...
-
-

Create the NFS deployment

-

-networkandcode@k8s-master:~ kubectl create -f ex29-deploy-nfs.yaml
-
-

Let's check the NFS Pod's status

-

-networkandcode@k8s-master:~ kubectl get po | grep nfs
-deploy29-nfs-5f84849dd9-wlzqj   1/1     Running   0          106s
-
-

Define a manifest for creating a Service exposing the NFS Pod

-

-networkandcode@k8s-master:~ cat ex29-svc-nfs.yaml
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: svc29-nfs
-spec:
-  selector:
-    tag: label29-nfs
-  ports:
-  - name: nfs
-    port: 2049
-  - name: mountd
-    port: 20048
-  - name: rpcbind
-    port: 111
-...
-
-

Create the NFS Service

-

-networkandcode@k8s-master:~ kubectl create -f ex29-svc-nfs.yaml
-service/svc29-nfs created
-
-

The NFS Service should have three endpoints as there are 3 ports

-

-networkandcode@k8s-master:~ kubectl get ep svc29-nfs
-NAME        ENDPOINTS                                   AGE
-svc29-nfs   10.8.0.4:20048,10.8.0.4:111,10.8.0.4:2049   23s
-
-

Check the Cluster-IP of the NFS service

-

-networkandcode@k8s-master:~ kubectl get svc svc29-nfs
-NAME        TYPE        CLUSTER-IP    EXTERNAL-IP   PORT(S)                      AGE
-svc29-nfs   ClusterIP   10.12.2.178           2049/TCP,20048/TCP,111/TCP   3m45s
-
-

Define a manifest for the PV that would be used by the Jenkins Pods

-

-networkandcode@k8s-master:~ cat ex29-pv-jenkins-ha.yaml 
----
-apiVersion: v1
-kind: PersistentVolume
-metadata:
-  name: pv29-jenkins-ha
-spec:
-  capacity:
-    storage: 100Mi
-  accessModes:
-  - "ReadWriteMany"
-  nfs:
-    # server contains the Domain name of the Service
-    server: svc29-nfs.default.svc.cluster.local
-    path: "/"
-...
-
-

Create the Persistent Volume

-

-networkandcode@k8s-master:~ kubectl create -f ex29-pv-jenkins-ha.yaml
-persistentvolume/pv29-jenkins-ha created
-
-

Check the PV's status

-

-networkandcode@k8s-master:~ kubectl get pv pv29-jenkins-ha
-NAME              CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS      CLAIM   STORAGECLASS   REASON   AGE
-pv29-jenkins-ha   100Mi      RWX            Retain           Available                                   38s
-
-

Define a PVC manifest to claim the Persistent volume created above

-

-networkandcode@k8s-master:~ cat ex29-pvc-jenkins-ha.yaml
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: pvc29-jenkins-ha
-spec:
-  accessModes:
-  - ReadWriteMany
-  storageClassName: ""
-  resources:
-    requests:
-      storage: 100Mi
-...
-
-

Create the PVC

-

-networkandcode@k8s-master:~ kubectl create -f ex29-pvc-jenkins-ha.yaml
-persistentvolumeclaim/pvc29-jenkins-ha created
-
-

Check the Jenkins PVC's status

-

-networkandcode@k8s-master:~ kubectl get pvc pvc29-jenkins-ha
-NAME               STATUS   VOLUME            CAPACITY   ACCESS MODES   STORAGECLASS   AGE
-pvc29-jenkins-ha   Bound    pv29-jenkins-ha   100Mi      RWX                           68s
-
-

Define a manifest for deploying Jenkins with 2 replicas, and attaching the PVC to both the Pods

-

-networkandcode@k8s-master:~ cat ex29-deploy-jenkins-ha.yaml
----
-apiVersion: extensions/v1beta1
-kind: Deployment
-metadata:
-  name: deploy29-jenkins-ha
-spec:
-  replicas: 2
-  selector:
-    matchLabels:
-      tag: label29-jenkins-ha
-  template:
-    metadata:
-      labels:
-        tag: label29-jenkins-ha
-    spec:
-      volumes:
-      - name: vol29-jenkins-ha
-        persistentVolumeClaim:
-          claimName: pvc29-jenkins-ha
-      containers:
-      - name: ctr29-jenkins-ha
-        image: jenkins/jenkins
-        volumeMounts:
-        - name: vol29-jenkins-ha
-          mountPath: /var/jenkins_home/jobs
-...
-
-

Create the Jenkins Deployment

-

-networkandcode@k8s-master:~ kubectl create -f ex29-deploy-jenkins-ha.yaml
-deployment.extensions/deploy29-jenkins-ha created
-
-

The Jenkins Pods should now be running

-

-networkandcode@k8s-master:~ kubectl get po | grep jenkins
-deploy29-jenkins-ha-7cb4599b5d-5c5st   1/1     Running   0          2m21s
-deploy29-jenkins-ha-7cb4599b5d-mwv6k   1/1     Running   0          2m21s
-
-

Define a Service manifest to expose the Jenkins Deployment

-

-networkandcode@k8s-master:~ cat ex29-svc-jenkins-ha.yaml
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: svc29-jenkins-ha
-spec:
-  selector:
-    tag: label29-jenkins-ha
-  type: LoadBalancer
-  ports:
-  - port: 80
-    targetPort: 8080  # default port on container where Jenkins dashboard is launched
-...
-
-

Create the Jenkins Service

-

-networkandcode@k8s-master:~ kubectl create -f ex29-svc-jenkins-ha.yaml
-
-

There should be two endpoints for the Jenkins service as there are two Pods

-

-networkandcode@k8s-master:~ kubectl get ep svc29-jenkins-ha
-NAME               ENDPOINTS                       AGE
-svc29-jenkins-ha   10.32.1.7:8080,10.32.2.4:8080   51s
-
-

Check the Service's IP and Ports

-

-networkandcode@k8s-master:~ kubectl get svc svc29-jenkins-ha
-NAME               TYPE           CLUSTER-IP   EXTERNAL-IP   PORT(S)        AGE
-svc29-jenkins-ha   LoadBalancer   10.0.4.207        80:31807/TCP   2m46s
-
-

The Jenkins Application may not be accessible unless the traffic is allowed through the firewall filter, depending on the NodePort value, a firewall rule may be defined as follows

-

-networkandcode@cloudshell:~ gcloud compute firewall-rules create fwrule29-allow-node-port-jenkins-ha --network default --allow tcp:31807
-
-
-31807 is the NodePort in this case as per the output above, and it can be used to access the Jenkins application via the Node's external IP in the format http://NodeIP:NodePort. These steps are not shown here. The GUI has to be accessed and the credentials be set. We shall use the same credentials for both the Jenkins instances (as there are two Pods). 
-
-The initial key for the Jenkins instances could be found as follows
-<
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-

diff --git a/_drafts/kubernetes-sample-tasks-restricted-access-to-private-docker-registry.html b/_drafts/kubernetes-sample-tasks-restricted-access-to-private-docker-registry.html
deleted file mode 100644
index a6e3002..0000000
--- a/_drafts/kubernetes-sample-tasks-restricted-access-to-private-docker-registry.html
+++ /dev/null
@@ -1,21 +0,0 @@
----
-layout: post
-title: Kubernetes > Sample tasks > Restricted access to private Docker registry
-date: 
-type: post
-parent_id: '0'
-published: false
-password: ''
-status: draft
-categories: []
-tags: []
-meta: {}
-author:
-  login: shak1r
-  email: shakir@techie.com
-  display_name: shakir
-  first_name: ''
-  last_name: ''
-permalink: "/"
----
-
diff --git a/_drafts/kubernetes-software-components.html b/_drafts/kubernetes-software-components.html
deleted file mode 100644
index 3cb55c1..0000000
--- a/_drafts/kubernetes-software-components.html
+++ /dev/null
@@ -1,32 +0,0 @@
----
-layout: post
-title: Kubernetes > Software components
-date: 
-type: post
-parent_id: '0'
-published: false
-password: ''
-status: draft
-categories: []
-tags: []
-meta: {}
-author:
-  login: shak1r
-  email: shakir@techie.com
-  display_name: shakir
-  first_name: ''
-  last_name: ''
-permalink: "/"
----
-
A Kubernetes system is said to be distributed because the software might not be installed in just one machine, it could be installed in a collective group of machines serving the whole purpose of a single Kubernetes system. A Kubernetes cluster is a group of nodes(VMs / Physical servers) on which the different components of the overall Kubernetes software are installed. However using VMs as nodes is quite common and popular these days. There are two types of nodes - Masters and Workers(Workers are just called as nodes often). There could be one or more Master in the Cluster, when there are more than one master, we call it a High Available (HA) Cluster. The master nodes are collectively referred to as the control plane, as the master nodes control the worker nodes. Note that it's also possible to install all the master and worker software components onto a single node, which is often referred to as an all in one (AIO) installation, however it's primarily used in learning environments and not recommended for production systems.

-
The main software components that are installed on the master are - kube-apiserver, etcd, kube-scheduler, kube-controller-manager, cloud-controller-manager. And those on the worker nodes are kubelet, kube-proxy, container runtime.

-
kube-apiserver is a REST API server, It is the central software component through which other components of the Master communicate, and it is also used for interconnecting the Kubernetes software components of the Masters and Workers. Any client application or program such as kubectl or some custom code written in any programming language such as python  or some familiar programs such as postman should send an HTTP REST API call to the kube-apiserver to retrieve details of the Kubernetes cluster or to modify it's operation. Note that REST refers to a standard and HTTP is a popular RESTful protocol as it conforms to the compliances of REST.

-
etcd is a key-value based data store that is proven to be consistent, when we have more than one master with etcd installed on each, we call the group of etcd components as a high available etcd cluster as etcd by itself is a distributed system and it is leveraged for use with Kubernetes. The etcd components in each master interact with each other. etcd is a separate open source software that can also be used with any other software, not just Kubernetes, it is not a native Kubernetes software component and hence we don't see the word kube on it's name. Key value pairs are like dictionaries or maps used with programming languages. Note that key-value pairs are nothing but a collection of keys to which are like variables and each key holding a value, and the value could be a number, string(text), list(array), or even another dictionary(map) and so on. Since etcd stores all the Kubernetes cluster configuration items, it is necessary to have a backup place in plan for the data stored in the etcd cluster. Since etcd by itself is a separate piece of software, all the etcd components in each of the master would interact with each other directly. Note that In a HA cluster, if there are etcd components in more than one master, these don't have to interact with each other through the kube-apiserver like other components, they would interact directly as they are separate from the native Kubernetes processes, however when etcd wants to talk with other native Kubernetes components, it goes through the kube-apiserver.

-
kube-scheduler is responsible for scheduling or spawning pods on nodes. Pods are the fundamental objects in Kubernetes. Pods would wrap one or more containers inside them as well other associated objects such as volumes that the containers can share. However it's most common to see Pods with single containers. When a Pod is being created, the kube-scheduler is responsible for scheduling it in one of the nodes according to the policies in any as mentioned in the Pod configuration or manifest.

-
kube-controller-manager is a process that is responsible for running Controller processes such as Node Controller, Replication Controller, Endpoints Controller, Service Account & Token Controllers. Node Controller notifies and responds to node down events. Replication Controller helps maintaining the correct number of replicas(Pods) for the Replica Controller Objects. Endpoints Controller handles service endpoints. A service would have endpoints which refer to the associated Pods and their respective ports. Service Account & Token Controllers deal with service accounts, tokens for new namespaces to allow api access etc.

-
cloud-controller-manager is a process that is responsible for running processes that interact with the underlying cloud provider, for example, the Google Kubernetes Engine. These processes include Node Controller, Route Controller, Service Controller, and Volume Controller. Each interacting with specific attributes on the Cloud Provider, for example the Route Controller process is responsible for setting up Network Routes in the underlying cloud.

-
kubelet is the key process in each worker node that ensures that Pods created by Kubernetes are running healthy on the node. Note that kubelet doesn't manager containers that are not created by Kubernetes such as one that's created directly using Docker pull.

-
kube-proxy is a network daemon that helps the functioning of Kubernetes Service objects. It is responsible for orchestrating service VIP(virtual IP) management on the worker node where it's installed. Services are Kubernetes objects and each Service is assigned a Virtual IP.

-
A container runtime process such as Docker, Container-D, frakti, rkt(often as rocket) required on each of the worker nodes so that containers be created. Kubelet interacts with the container runtime to ensure containers specified in the Pod spec are created properly. Kubernetes by itself doesn't create containers, it depends on the container run time, hence this container run time is also an external software and not a native Kubernetes process.

-
In addition to these components, so many add-ons could be enabled in the Kubernetes cluster by creating additional Pods / Services in the kube-system namespace for those respective add-ons. Examples are cluster DNS (this one is essential), Web UI / Dashboard (for a graphical analysis to the cluster and it's objects), container resource monitoring, cluster level logging and so on.

-
--end-of-post--

diff --git a/_drafts/kubernetes-volumes-secrets.html b/_drafts/kubernetes-volumes-secrets.html
deleted file mode 100644
index 214f732..0000000
--- a/_drafts/kubernetes-volumes-secrets.html
+++ /dev/null
@@ -1,76 +0,0 @@
----
-layout: post
-title: Kubernetes > Volumes > Secrets
-date: 
-type: post
-parent_id: '0'
-published: false
-password: ''
-status: draft
-categories: []
-tags: []
-meta:
-  _wpas_skip_18195285: '1'
-  _wpas_skip_18169689: '1'
-author:
-  login: shak1r
-  email: shakir@techie.com
-  display_name: shakir
-  first_name: ''
-  last_name: ''
-permalink: "/"
----
-
Secrets are objects to store certain sensitive information such as credentials.

-
To view the list of secrets

-
networkandcode@cloudshell:~ (kubernetes-cka-224606)$ kubectl get secrets

-NAME TYPE DATA AGE

-default-token-s5qzc kubernetes.io/service-account-token 3 5d

-
Let's say we want to store a username and password in a new secret object, we have to first get the base64 encoded value for our credentials

-
Let the username be 'secretusername' and password be 'secretpassword', to find the base64 equivalents of these

-
networkandcode@cloudshell:~ (kubernetes-cka-224606)$ echo -n 'secretuser' | base64

-c2VjcmV0dXNlcg==

-networkandcode@cloudshell:~ (kubernetes-cka-224606)$ echo -n 'secretpassword' | bas

-e64

-c2VjcmV0cGFzc3dvcmQ=

-
Our secret object definition file is as follows

-
networkandcode@cloudshell:~ (kubernetes-cka-224606)$ cat secretConfig.yaml

-
---

-apiVersion: v1

-kind: Secret

-metadata:

-name: credentials-secret

-data:

-username: c2VjcmV0dXNlcg==

-password: c2VjcmV0cGFzc3dvcmQ=

-...

-
To create the object

-
networkandcode@cloudshell:~ (kubernetes-cka-224606)$ kubectl apply -f secretConfig.

-yaml

-secret "credentials-secret" created

-networkandcode@cloudshell:~ (kubernetes-cka-224606)$ kubectl get secrets

-NAME TYPE DATA AGE

-credentials-secret Opaque 2 10s

-default-token-s5qzc kubernetes.io/service-account-token 3 5d

-
networkandcode@cloudshell:~ (kubernetes-cka-224606)$ cat podWithSecret.yaml

----

-apiVersion: v1

-kind: Pod

-metadata:

-name: apache-pod

-spec:

-containers:

-- name: apache-container

-image: httpd

-volumeMounts:

-- name: apache-volume

-mountPath: /tmp/apache/

-volumes:

-- name: apache-volume

-secret:

-secretName: credentials-secret

-...

-
To schedule the Pod

-
networkandcode@cloudshell:~ (kubernetes-cka-224606)$ kubectl apply -f podWithSecret.yaml

-pod "apache-pod" created

-
 

-
 

diff --git a/_drafts/kubernets-cluster-some-information-about-etcd.html b/_drafts/kubernets-cluster-some-information-about-etcd.html
deleted file mode 100644
index 252384e..0000000
--- a/_drafts/kubernets-cluster-some-information-about-etcd.html
+++ /dev/null
@@ -1,192 +0,0 @@
----
-layout: post
-title: Kubernets > Cluster > Some information about etcd
-date: 
-type: post
-parent_id: '0'
-published: false
-password: ''
-status: draft
-categories: []
-tags: []
-meta: {}
-author:
-  login: shak1r
-  email: shakir@techie.com
-  display_name: shakir
-  first_name: ''
-  last_name: ''
-permalink: "/"
----
-

-
etcd is a key value kinda database that stores all the Cluster related data, etcd implementation can itself be on separate clusters, or be setup on the nodes that are running as Kubernetes masters. On a High availabilty design, etcd clusters should be odd be in number, i.e. etcd should be installed on odd number of nodes 3, 5, and so on. However we are dealing here with a single ectd node, and etcd is futher or the master node of the k8s-cluster, so there isn't a separate etcd node.

-

-

-
I am using a 4 node cluster - 1 Master and 3 Nodes, on Google cloud, let's start them

-

-

-
networkandcode@Linux:~/tech/kubernetes/cka$ gcloud compute instances list
-NAME        ZONE           MACHINE_TYPE               PREEMPTIBLE  INTERNAL_IP  EXTERNAL_IP  STATUS
-controller  us-central1-a  n1-standard-1                           10.128.0.2                TERMINATED
-k8s-master  us-central1-a  custom (2 vCPU, 5.00 GiB)               10.128.0.4                TERMINATED
-k8s-node1   us-central1-a  n1-standard-1                           10.128.0.5                TERMINATED
-k8s-node2   us-central1-a  n1-standard-1                           10.128.0.6                TERMINATED
-k8s-node3   us-central1-a  n1-standard-1                           10.128.0.7                TERMINATED
-
-etworkandcode@Linux:~/tech/kubernetes/cka$ gcloud compute instances start k8s-master k8s-node1 k8s-node2 k8s-node3
-No zone specified. Using zone [us-central1-a] for instances: [k8s-master, k8s-node1, k8s-node2, k8s-node3].
-Starting instance(s) k8s-master, k8s-node1, k8s-node2, k8s-node3...done.                                                                     
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-master].
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-node1].
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-node2].
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-node3].

-

-

-
We need to login to the master, to run kubectl commands from there

-

-

-
networkandcode@Linux:~/tech/kubernetes/cka$ gcloud compute ssh k8s-master

-

-

-
Let's see if there in any etcd installation on the cluster, please note that this cluster was launched using kubeadm

-

-

-
networkandcode@k8s-master:~$ kubectl get all -n kube-system | grep etcd
-pod/etcd-k8s-master                      1/1     Running   23         62d

-

-

-
So there is a single etcd pod, and it is running on the master

-

-

-
networkandcode@k8s-master:~$ kubectl get po etcd-k8s-master -n kube-system -o wide
-NAME              READY   STATUS    RESTARTS   AGE   IP           NODE         NOMINATED NODE   READINESS GATES
-etcd-k8s-master   1/1     Running   23         62d   10.128.0.4   k8s-master   <none>           <none>

-

-

-
Let's see more info about the etcd Pod

-

-

-
Name:                 etcd-k8s-master
-Namespace:            kube-system
---TRUNCATED--
-Node:                 k8s-master/10.128.0.4
---TRNUCATED--
-IP:                   10.128.0.4
-Containers:
-  etcd:
-    Container ID:  docker://44b8889c1872a344620a320ed9e3c2521be9a0559bc959d21777f4a9ebeb9c58
-    Image:         k8s.gcr.io/etcd:3.3.10
---TRNUCATED--
-    Command:
-      etcd
-      --advertise-client-urls=https://10.128.0.4:2379
-      --cert-file=/etc/kubernetes/pki/etcd/server.crt
-      --client-cert-auth=true
-      --data-dir=/var/lib/etcd
-      --initial-advertise-peer-urls=https://10.128.0.4:2380
-      --initial-cluster=k8s-master=https://10.128.0.4:2380
-      --key-file=/etc/kubernetes/pki/etcd/server.key
-      --listen-client-urls=https://127.0.0.1:2379,https://10.128.0.4:2379
-      --listen-peer-urls=https://10.128.0.4:2380
-      --name=k8s-master
-      --peer-cert-file=/etc/kubernetes/pki/etcd/peer.crt
-      --peer-client-cert-auth=true
-      --peer-key-file=/etc/kubernetes/pki/etcd/peer.key
-      --peer-trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt
-      --snapshot-count=10000
-      --trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt
---TRUNCATED--

-

-

-
The listen-client-urls and advertise-client-rules refer to the same node, however it has two IPs, 127.0.0.1 refers to the localhost itself, as the APIserver and etcd are on the same master node, the APIserver can communicate with etcd using 127.0.0.1, but this IP is not valid outside the host, so if ectd has to be reached from other node in the cluster, that should happen through the private IP, in this case 10.128.0.4, Note that ectd client to server communication happens on TCP port 2379, where as etcd server to server communication happens on TCP port 2389, In our case as there is only one etcd server, no communication happens on 2380

-

-

-
In a Kubernetes cluster, the kube-api-server is the centrail point of contact for all other components, so the etcd server should also communicate with the kube-apiserver, however the speciality here is that the kube-apiserver acts as a client(rather than a server) to talk with etcd server. So, the kube-apiserver is acting like an etcd client. Let's check the apiserver Pod in the cluster, the apiserver should run on the master too

-

-

-
networkandcode@k8s-master:~$ kubectl get all -n kube-system | grep api
-pod/kube-apiserver-k8s-master            1/1     Running   15         47d
-
-networkandcode@k8s-master:~$ kubectl get po kube-apiserver-k8s-master -n kube-system -o wide
-NAME                        READY   STATUS    RESTARTS   AGE   IP           NODE         NOMINATED NODE   READINESS GATES
-kube-apiserver-k8s-master   1/1     Running   15         47d   10.128.0.4   k8s-master   <none>           <none>
-

-

-

-
If we check more info about the apiserver Pod, we should find it has options specify etcd related information

-

-

-
networkandcode@k8s-master:~$ kubectl describe po kube-apiserver-k8s-master -n kube-system
---TRUNCATED--
-Containers:
-  kube-apiserver:
-    --TRUNCATED--
-    Command:
-      kube-apiserver
-      --TRUNCATED--
-      --etcd-cafile=/etc/kubernetes/pki/etcd/ca.crt
-      --etcd-certfile=/etc/kubernetes/pki/apiserver-etcd-client.crt
-      --etcd-keyfile=/etc/kubernetes/pki/apiserver-etcd-client.key
-      --etcd-servers=https://127.0.0.1:2379
---TRUNCATED--

-

-

-
In this cluster, we have a deployment in the default namespace with 10 Pod replicas, please make a note of this as we would illustrate how these deployments would come again once etcd is restored

-

-

-
networkandcode@k8s-master:~/tech/kubernetes/cka$ kubectl get deploy
-NAME      READY   UP-TO-DATE   AVAILABLE   AGE
-deploy7   10/10   10           10          9s

-

-

-
As ectd is storing all the cluster data, it's essential to backup it's data periodically, let's do the backup using etcdctl, we need to first install it if it's not there. While taking a backup we can specify pki(public key infrastructure) information such as ca certificate, server certificate and server key, these would match with what's there on the etcd Pod configuration checked earlier

-

-

-
networkandcode@k8s-master:~$ sudo apt install etcd-client -y
-
-networkandcode@k8s-master:~$ sudo ETCDCTL_API=3 etcdctl snapshot save /tmp/etcdbackup.db --cacert /etc/kubernetes/pki/etcd/ca.crt --cert /etc/kubernetes/pki/etcd/server.crt --key /etc/kubernetes/pki/etcd/server.key --endpoints https://127.0.0.1:2379
-Snapshot saved at /tmp/etcdbackup.db
-
-networkandcode@k8s-master:~$ ls /tmp/etcdbackup.db 
-/tmp/etcdbackup.db

-

-

-
We can verify if the snapshot was successful

-

-

-
networkandcode@k8s-master:~/tech/kubernetes/cka$ 
-networkandcode@k8s-master:~/tech/kubernetes/cka$ sudo ETCDCTL_API=3 etcdctl snapshot status /tmp/etcdbackup.db 
-4bb4b764, 813669, 939, 6.1 MB
-
-# for a tabular view
-networkandcode@k8s-master:~/tech/kubernetes/cka$ sudo ETCDCTL_API=3 etcdctl snapshot status /tmp/etcdbackup.db --write-out table
-+----------+----------+------------+------------+
-|   HASH   | REVISION | TOTAL KEYS | TOTAL SIZE |
-+----------+----------+------------+------------+
-| 4bb4b764 |   813669 |        939 |     6.1 MB |
-+----------+----------+------------+------------+

-

-

-
This means that the etcd server is currently holding 6.1 MB of data in it, now let's go ahead and delete the deployment

-

-

-
networkandcode@k8s-master:~/tech/kubernetes/cka$ kubectl delete deploy --all
-deployment.extensions "deploy7" deleted
-networkandcode@k8s-master:~/tech/kubernetes/cka$ kubectl get deploy
-No resources found.

-

-

-
We will now restore etcd from its backup so that the deployments would be launched again

-

-

-
I am gonna shutdown the VMs to avoid billing :)

-

-

-
networkandcode@Linux:~/tech/kubernetes/cka$ gcloud compute instances stop k8s-master k8s-node1 k8s-node2 k8s-node3
-No zone specified. Using zone [us-central1-a] for instances: [k8s-master, k8s-node1, k8s-node2, k8s-node3].
-Stopping instance(s) k8s-master, k8s-node1, k8s-node2, k8s-node3...done.                                                                     
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-master].
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-node1].
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-node2].
-Updated [https://compute.googleapis.com/compute/v1/projects/excellent-ship-248017/zones/us-central1-a/instances/k8s-node3].

-

diff --git a/_drafts/play-with-tcpdump.html b/_drafts/play-with-tcpdump.html
deleted file mode 100644
index 64d3aeb..0000000
--- a/_drafts/play-with-tcpdump.html
+++ /dev/null
@@ -1,21 +0,0 @@
----
-layout: post
-title: play with tcpdump
-date: 
-type: post
-parent_id: '0'
-published: false
-password: ''
-status: draft
-categories: []
-tags: []
-meta: {}
-author:
-  login: shak1r
-  email: shakir@techie.com
-  display_name: shakir
-  first_name: ''
-  last_name: ''
-permalink: "/"
----
-
diff --git a/_drafts/tcp-refresher.html b/_drafts/tcp-refresher.html
deleted file mode 100644
index daa02c4..0000000
--- a/_drafts/tcp-refresher.html
+++ /dev/null
@@ -1,30 +0,0 @@
----
-layout: post
-title: TCP Refresher
-date: 
-type: post
-parent_id: '0'
-published: false
-password: ''
-status: draft
-categories: []
-tags: []
-meta: {}
-author:
-  login: shak1r
-  email: shakir@techie.com
-  display_name: shakir
-  first_name: ''
-  last_name: ''
-permalink: "/"
----
-
History

-
TCP is a window based protocol, i.e. it implements a window based flow control mechanism where the current window size restricts the amount of unacknowledged data that can be transferred between a TCP sender and receiver. Originally this maximum window size awnd(advertised windows) was advertised by the receiver.

-
1980s - new congestion control mechanisms introduced to prevent congestion in the internet caused by TCP senders overrunning resources of the network.

-
1988 - Tahoe TCP released, included 3 congestion control algorithms: slow start, congestion avoidance and fast retransmit. Two new variables cwnd(congestion window) and ssthresh(slow start threshold) introduced.

-
1990 - Reno TCO released, included the fast recovery algorithm

-

-
TCP sender's window size w = min (cwnd, awnd)

-awnd prevents the sender from overrunning the resources of the receiver. cwnd prevents the sender from sending more data than that the network can handle. cwnd can be set according to the packet loss condition which can be detected either via a time-out mechanism or via duplicate ACKs.

-Each packet has a timer (RTO Retransmission timeout) associated with it, and when that timer expires the packet is retransmitted. RTO should be similar to that of an RTT(Round trip time) which is usually calculated using algorithms such as Karn.

-
 

diff --git a/_includes/analytics.html b/_includes/analytics.html
deleted file mode 100644
index ead501c..0000000
--- a/_includes/analytics.html
+++ /dev/null
@@ -1,9 +0,0 @@
-
-
-
diff --git a/_includes/search.html b/_includes/search.html
deleted file mode 100644
index 91f91f2..0000000
--- a/_includes/search.html
+++ /dev/null
@@ -1,17 +0,0 @@
-
-

-
-
    
-
    
-	
-
-
-
-
-
diff --git a/_layouts/default.html b/_layouts/default.html
deleted file mode 100644
index 99f48ae..0000000
--- a/_layouts/default.html
+++ /dev/null
@@ -1,27 +0,0 @@
-
-
-
-  {%- include head.html -%}
-
-  
-
-    {%- include header.html -%}
-
-    
    
-      
    
-        {%- include search.html -%}
-        {{ content }}
-      
    
-    
    
-
-      
-
-    {%- include header.html -%}
-    
-    {%- include analytics.html -%} 
-    
-  
-
-
diff --git a/_posts/2021-06-30-online-shop-with-nextjs-and-harperdb.md b/_posts/2021-06-30-online-shop-with-nextjs-and-harperdb.md
index 23b1346..cf3e20c 100644
--- a/_posts/2021-06-30-online-shop-with-nextjs-and-harperdb.md
+++ b/_posts/2021-06-30-online-shop-with-nextjs-and-harperdb.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://networkandcode.hashnode.dev/online-shop-with-nextjs-and-harperdb
-categories: harperdb, material-ui, nextjs, stripe
-date: 2021-06-30
-tags: harperdb, material-ui, nextjs, stripe
-title: Online shop with NextJS and HarperDB
+canonical_url: "https://networkandcode.hashnode.dev/online-shop-with-nextjs-and-harperdb"
+categories: "harperdb, material-ui, nextjs, stripe"
+date: "2021-06-30"
+tags: "harperdb, material-ui, nextjs, stripe"
+title: "Online shop with NextJS and HarperDB"
 ---
 
 *This post appeared on [hashnode.dev](https://networkandcode.hashnode.dev/online-shop-with-nextjs-and-harperdb)*
diff --git a/_posts/2021-10-14/2021-10-14-bootstrap-a-kubernetes-cluster-with-rke.md b/_posts/2021-10-14/2021-10-14-bootstrap-a-kubernetes-cluster-with-rke.md
new file mode 100644
index 0000000..31697cb
--- /dev/null
+++ b/_posts/2021-10-14/2021-10-14-bootstrap-a-kubernetes-cluster-with-rke.md
@@ -0,0 +1,295 @@
+---
+canonical_url: "https://dev.to/networkandcode/kubernetes-bootstrap-a-cluster-with-rke-1f9n"
+date: "2021-10-14"
+title: "Bootstrap a Kubernetes cluster with RKE"
+tags: "kubernetes, rancher, linode, linux"
+categories: "kubernetes, rancher, linode, linux"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/kubernetes-bootstrap-a-cluster-with-rke-1f9n)**
+
+Rancher Kubernetes Engine ( RKE ) is a popular tool using which we can bootstrap kubernetes clusters 
+quickly. We are going to excatly see that in this post. Please ensure kubectl is installed in your 
+system so that you can interact with the cluster after its launched. And You should be aware of the 
+ssh key generation process.
+
+We are going to perform this setup on a 3 node cluster comprising of 1 master and 2 worker nodes. 
+The master node is our control plane node, that would also have etcd in it.
+
+I have launched 3 * 4 GB Ubuntu 21.04 nodes on Linode cloud for this purpose. You can launch the VMs 
+anywhere though. Here are the screenshots of the settings I have chosen while launching a node.
+![Linode Node Creation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7lkg6mw27vv42v6h60cw.png)
+![Linode Node Creation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dlzuglpshg79ed9az571.png)
+![Linode Node Creation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rx6hxz9scdn6edu7l4b4.png)
+![Linode Node Creation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1qyf1ixz1rue6zki3fy5.png)
+Once the nodes have started up, please make a note of their IPs (private and public)
+
+Alright, lets generate cluster.yml, which would be the config for rke. The complete config would look 
+like the following.
+```
+$ cat cluster.yml 
+# If you intened to deploy Kubernetes in an air-gapped environment,
+# please consult the documentation on how to configure custom RKE images.
+nodes:
+- address: 
+  port: "22"
+  internal_address: 
+  role:
+  - controlplane
+  - etcd
+  hostname_override: master
+  user: root
+  docker_socket: /var/run/docker.sock
+  ssh_key: ""
+  ssh_key_path: ~/.ssh/id_rsa
+  ssh_cert: ""
+  ssh_cert_path: ""
+  labels: {}
+  taints: []
+- address: 
+  port: "22"
+  internal_address: 
+  role:
+  - worker
+  hostname_override: node1
+  user: root
+  docker_socket: /var/run/docker.sock
+  ssh_key: ""
+  ssh_key_path: ~/.ssh/id_rsa
+  ssh_cert: ""
+  ssh_cert_path: ""
+  labels: {}
+  taints: []
+- address: 
+  port: "22"
+  internal_address: 
+  role:
+  - worker
+  hostname_override: node2
+  user: root
+  docker_socket: /var/run/docker.sock
+  ssh_key: ""
+  ssh_key_path: ~/.ssh/id_rsa
+  ssh_cert: ""
+  ssh_cert_path: ""
+  labels: {}
+  taints: []
+services:
+  etcd:
+    image: ""
+    extra_args: {}
+    extra_binds: []
+    extra_env: []
+    win_extra_args: {}
+    win_extra_binds: []
+    win_extra_env: []
+    external_urls: []
+    ca_cert: ""
+    cert: ""
+    key: ""
+    path: ""
+    uid: 0
+    gid: 0
+    snapshot: null
+    retention: ""
+    creation: ""
+    backup_config: null
+  kube-api:
+    image: ""
+    extra_args: {}
+    extra_binds: []
+    extra_env: []
+    win_extra_args: {}
+    win_extra_binds: []
+    win_extra_env: []
+    service_cluster_ip_range: 10.43.0.0/16
+    service_node_port_range: ""
+    pod_security_policy: false
+    always_pull_images: false
+    secrets_encryption_config: null
+    audit_log: null
+    admission_configuration: null
+    event_rate_limit: null
+  kube-controller:
+    image: ""
+    extra_args: {}
+    extra_binds: []
+    extra_env: []
+    win_extra_args: {}
+    win_extra_binds: []
+    win_extra_env: []
+    cluster_cidr: 10.42.0.0/16
+    service_cluster_ip_range: 10.43.0.0/16
+  scheduler:
+    image: ""
+    extra_args: {}
+    extra_binds: []
+    extra_env: []
+    win_extra_args: {}
+    win_extra_binds: []
+    win_extra_env: []
+  kubelet:
+    image: ""
+    extra_args: {}
+    extra_binds: []
+    extra_env: []
+    win_extra_args: {}
+    win_extra_binds: []
+    win_extra_env: []
+    cluster_domain: cluster.local
+    infra_container_image: ""
+    cluster_dns_server: 10.43.0.10
+    fail_swap_on: false
+    generate_serving_certificate: false
+  kubeproxy:
+    image: ""
+    extra_args: {}
+    extra_binds: []
+    extra_env: []
+    win_extra_args: {}
+    win_extra_binds: []
+    win_extra_env: []
+network:
+  plugin: canal
+  options: {}
+  mtu: 0
+  node_selector: {}
+  update_strategy: null
+  tolerations: []
+authentication:
+  strategy: x509
+  sans: []
+  webhook: null
+addons: ""
+addons_include: []
+system_images:
+  etcd: rancher/coreos-etcd:v3.4.15-rancher1
+  alpine: rancher/rke-tools:v0.1.75
+  nginx_proxy: rancher/rke-tools:v0.1.75
+  cert_downloader: rancher/rke-tools:v0.1.75
+  kubernetes_services_sidecar: rancher/rke-tools:v0.1.75
+  kubedns: rancher/k8s-dns-kube-dns:1.15.2
+  dnsmasq: rancher/k8s-dns-dnsmasq-nanny:1.15.2
+  kubedns_sidecar: rancher/k8s-dns-sidecar:1.15.2
+  kubedns_autoscaler: rancher/cluster-proportional-autoscaler:1.7.1
+  coredns: rancher/coredns-coredns:1.6.9
+  coredns_autoscaler: rancher/cluster-proportional-autoscaler:1.7.1
+  nodelocal: rancher/k8s-dns-node-cache:1.15.7
+  kubernetes: rancher/hyperkube:v1.18.20-rancher1
+  flannel: rancher/coreos-flannel:v0.12.0
+  flannel_cni: rancher/flannel-cni:v0.3.0-rancher6
+  calico_node: rancher/calico-node:v3.13.4
+  calico_cni: rancher/calico-cni:v3.13.4
+  calico_controllers: rancher/calico-kube-controllers:v3.13.4
+  calico_ctl: rancher/calico-ctl:v3.13.4
+  calico_flexvol: rancher/calico-pod2daemon-flexvol:v3.13.4
+  canal_node: rancher/calico-node:v3.13.4
+  canal_cni: rancher/calico-cni:v3.13.4
+  canal_flannel: rancher/coreos-flannel:v0.12.0
+  canal_flexvol: rancher/calico-pod2daemon-flexvol:v3.13.4
+  weave_node: weaveworks/weave-kube:2.6.4
+  weave_cni: weaveworks/weave-npc:2.6.4
+  pod_infra_container: rancher/pause:3.1
+  ingress: rancher/nginx-ingress-controller:nginx-0.35.0-rancher2
+  ingress_backend: rancher/nginx-ingress-controller-defaultbackend:1.5-rancher1
+  metrics_server: rancher/metrics-server:v0.3.6
+  windows_pod_infra_container: rancher/kubelet-pause:v0.1.6
+ssh_key_path: ~/.ssh/id_rsa
+ssh_cert_path: ""
+ssh_agent_auth: false
+authorization:
+  mode: rbac
+  options: {}
+ignore_docker_version: null
+kubernetes_version: ""
+private_registries: []
+ingress:
+  provider: ""
+  options: {}
+  node_selector: {}
+  extra_args: {}
+  dns_policy: ""
+  extra_envs: []
+  extra_volumes: []
+  extra_volume_mounts: []
+  update_strategy: null
+  http_port: 0
+  https_port: 0
+  network_mode: ""
+  tolerations: []
+cluster_name: ""
+cloud_provider:
+  name: ""
+prefix_path: ""
+win_prefix_path: ""
+addon_job_timeout: 0
+bastion_host:
+  address: ""
+  port: ""
+  user: ""
+  ssh_key: ""
+  ssh_key_path: ""
+  ssh_cert: ""
+  ssh_cert_path: ""
+monitoring:
+  provider: ""
+  options: {}
+  node_selector: {}
+  update_strategy: null
+  replicas: null
+  tolerations: []
+restore:
+  restore: false
+  snapshot_name: ""
+dns: null
+```
+
+Just replace the public and private IPs of nodes in this file and you are good to go. If you want more 
+customization, you can also generate this config using the rke step by step prompt by saying 
+```rke config --name cluster.yml```.
+
+Please ensure docker is installed on all three nodes. You just need to ssh in to each node, and run 
+``` apt update -y && apt install docker.io -y ```. Use sudo if required.
+
+Fine, let's now go ahead and lauch the cluster.
+```
+networkandcode@ubuntu20:~$ rke up
+INFO[0000] Running RKE version: v1.1.19                 
+INFO[0000] Initiating Kubernetes cluster                
+INFO[0000] [certificates] GenerateServingCertificate is disabled, checking if there are unused kubelet certificates 
+INFO[0000] [certificates] Generating admin certificates and kubeconfig 
+INFO[0000] Successfully Deployed state file at [./cluster.rkestate] 
+INFO[0000] Building Kubernetes cluster                  
+---TRUNCATED---
+NFO[0190] [addons] Executing deploy job rke-ingress-controller 
+INFO[0191] [ingress] ingress controller nginx deployed successfully 
+INFO[0191] [addons] Setting up user addons              
+INFO[0191] [addons] no user addons defined              
+INFO[0191] Finished building Kubernetes cluster successfully 
+```
+
+The cluster is ready, you can copy the kubeconfig as follows.
+```
+$ mkdir .kube
+$ touch .kube/config
+
+$ cp kube_config_cluster.yml .kube/config
+```
+
+Thats it, you should see the nodes with kubectl.
+```
+networkandcode@ubuntu20:~$ kubectl config current-context
+local
+
+networkandcode@ubuntu20:~$ kubectl get nodes
+NAME     STATUS   ROLES               AGE     VERSION
+master   Ready    controlplane,etcd   16h     v1.18.20
+node1    Ready    worker              6m20s   v1.18.20
+node2    Ready    worker              7m27s   v1.18.20
+```
+
+So as we saw, creating a cluster with RKE is quick, and we can apply this concept to VMs on cloud or 
+on premises.
+
+Thats the end of the post, Thank you for reading...
+
+--end-of-post--
diff --git a/_posts/2021-10-16/2021-10-16-setup-an-aws-eks-cluster-and-deploy-owasp-juice-shop.md b/_posts/2021-10-16/2021-10-16-setup-an-aws-eks-cluster-and-deploy-owasp-juice-shop.md
new file mode 100644
index 0000000..ef9703f
--- /dev/null
+++ b/_posts/2021-10-16/2021-10-16-setup-an-aws-eks-cluster-and-deploy-owasp-juice-shop.md
@@ -0,0 +1,300 @@
+---
+canonical_url: "https://dev.to/aws-builders/aws-eks-setup-cluster-and-deploy-owasp-juice-shop-214j"
+date: "2021-10-16"
+title: "Setup an AWS EKS cluster and deploy OWASP juice shop"
+tags: "kubernetes, aws, owasp, eks"
+categories: "kubernetes, aws, owasp, eks"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/aws-eks-setup-cluster-and-deploy-owasp-juice-shop-214j)**
+
+Let's setup an [EKS cluster](Launch EKS cluster
+https://youtu.be/rJQb_whepEY) and then install the 
+[OWASP Juice Shop](https://networkandcode.github.io/owasp/juice/shop/2021/07/23/owasp-juice-shop-run-the-app-locally.html) on it using kubernetes manifests.
+
+## Manifest
+Here is the manifest file, that contains the spec for our [deployment](https://networkandcode.github.io/2019/04/02/kubernetes-deployment/) and 
+[service](https://networkandcode.github.io/2019/09/04/kubernetes-expose-pods-using-services/).
+```
+┌─[nc@parrot]─[/tmp]
+└──╼ $cat juice-shop.yaml 
+kind: Deployment
+apiVersion: apps/v1
+metadata:
+  name: juice-shop
+spec:
+  template:
+    metadata:
+      labels:
+        app: juice-shop
+    spec:
+      containers:
+      - name: juice-shop
+        image: bkimminich/juice-shop
+  selector:
+    matchLabels:
+      app: juice-shop
+---
+kind: Service
+apiVersion: v1
+metadata:
+  name: juice-shop
+spec:
+  type: NodePort
+  selector:
+    app: juice-shop
+  ports:
+  - name: http
+    port: 8000
+    targetPort: 3000
+```
+
+##Kubectl
+Let's install kubectl on the local machine, as we would need it to interact with the kubernetes cluster.
+```
+┌─[nc@parrot]─[/tmp]
+└──╼ $curl -sO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
+```
+
+Verify checksum for the downloaded kubectl.
+```
+┌─[nc@parrot]─[/tmp]
+└──╼ $curl -sO "https://dl.k8s.io/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl.sha256"
+
+┌─[nc@parrot]─[/tmp]
+└──╼ $echo "$(:cluster/my-cluster to /home/nc/.kube/config
+```
+
+We can now start using kubectl, lets validate the context first.
+```
+─[nc@parrot]─[~]
+└──╼ $kubectl config current-context
+arn:aws:eks:us-west-2::cluster/my-cluster
+```
+
+The cluster nodes should be ready.
+```
+┌─[nc@parrot]─[~]
+└──╼ $kubectl get nodes
+NAME                                                   STATUS   ROLES    AGE     VERSION
+fargate-ip-192-168-126-75.us-west-2.compute.internal   Ready       6m19s   v1.20.7-eks-135321
+fargate-ip-192-168-177-91.us-west-2.compute.internal   Ready       6m16s   v1.20.7-eks-135321
+```
+
+## Deploy
+It's time to create the kubernetes deployment and service for juice shop.
+```
+$ kubectl create -f /tmp/juice-shop.yaml 
+deployment.apps/juice-shop created
+service/juice-shop created
+```
+
+The pod should be up in some time.
+```
+┌─[nc@parrot]─[~]
+└──╼ $kubectl get po
+NAME                          READY   STATUS    RESTARTS   AGE
+juice-shop-699c69578f-qmd8m   1/1     Running   0          34m
+```
+
+Let's check its events.
+```
+┌─[✗]─[nc@parrot]─[~]
+└──╼ $kubectl describe po juice-shop-699c69578f-qmd8m | grep -A 15 Events:
+Events:
+  Type     Reason           Age   From               Message
+  ----     ------           ----  ----               -------
+  Warning  LoggingDisabled  37m   fargate-scheduler  Disabled logging because aws-logging configmap was not found. configmap "aws-logging" not found
+  Normal   Scheduled        36m   fargate-scheduler  Successfully assigned default/juice-shop-699c69578f-qmd8m to fargate-ip-192-168-109-122.us-west-2.compute.internal
+  Normal   Pulling          36m   kubelet            Pulling image "bkimminich/juice-shop"
+  Normal   Pulled           35m   kubelet            Successfully pulled image "bkimminich/juice-shop" in 33.837789722s
+  Normal   Created          35m   kubelet            Created container juice-shop
+  Normal   Started          35m   kubelet            Started container juice-shop
+```
+
+All seems good so far, let's now see if the endpoints are ok.
+```
+┌─[✗]─[nc@parrot]─[~]
+└──╼ $kubectl get ep juice-shop
+NAME         ENDPOINTS              AGE
+juice-shop   192.168.109.122:3000   38m
+```
+
+And this IP should be of our juice shop pod.
+```
+┌─[nc@parrot]─[~]
+└──╼ $kubectl get po -o wide | grep 192.168.109.122
+juice-shop-699c69578f-qmd8m   1/1     Running   0          39m   192.168.109.122   fargate-ip-192-168-109-122.us-west-2.compute.internal              
+```
+
+As per the manifest the service should be functional on port 8000. Let's validate.
+```
+┌─[nc@parrot]─[~]
+└──╼ $kubectl get svc juice-shop
+NAME         TYPE       CLUSTER-IP       EXTERNAL-IP   PORT(S)          AGE
+juice-shop   NodePort   10.100.201.210           8000:32741/TCP   41m
+```
+
+We can now expose the service on localhost, using the port forwarding functionality of kubectl.
+```
+┌─[nc@parrot]─[~]
+└──╼ $kubectl port-forward svc/juice-shop 8080:8000
+Forwarding from 127.0.0.1:8080 -> 3000
+Forwarding from [::1]:8080 -> 3000
+
+```
+
+The application should now be accessible on port 8080.
+![OWASP Juice Shop](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nyq89kbe4qo0ms0sjtkp.png)
+ 
+
+## Clean up
+You can press Ctrl C on the terminal to stop the port forwarding, which stops the application on the browser.
+You can delete the kubernetes objects using the delete command
+```
+$ kubectl delete -f /tmp/juice-shop.yaml
+```
+
+And finally when you are done, if you wish to delete the cluster, you may do so as follows.
+```
+┌─[nc@parrot]─[~]
+└──╼ $eksctl delete cluster --name my-cluster --region us-west-2
+```
+
+Video link: https://www.youtube.com/watch?v=udSPJXMU9L4&t=4185s
+
+--end-of-post--
diff --git a/_posts/2021-11-14/2021-11-14-launch-aws-ec2-instances-the-hard-way-with-cli.md b/_posts/2021-11-14/2021-11-14-launch-aws-ec2-instances-the-hard-way-with-cli.md
new file mode 100644
index 0000000..617975e
--- /dev/null
+++ b/_posts/2021-11-14/2021-11-14-launch-aws-ec2-instances-the-hard-way-with-cli.md
@@ -0,0 +1,263 @@
+---
+canonical_url: "https://dev.to/aws-builders/aws-ec2-launch-instances-the-hard-way-with-cli-2ga3"
+date: "2021-11-14"
+title: "Launch AWS EC2 instances the hard way with CLI"
+tags: "aws, ec2, linux, kubernetes"
+categories: "aws, ec2, linux, kubernetes"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/aws-ec2-launch-instances-the-hard-way-with-cli-2ga3)**
+
+Hey All :wave:, in this post we shall launch 3 AWS EC2 instances and test SSH connectivity to those...
+
+We are not going to use the GUI / Web console :relaxed: for this purpose, we would be using the CLI :sweat_smile:, and also create individual components along the way, that are required for the instances to function properly, instead of relying on default ones, and thus touch bits of networking and security areas. Hope this approach gives someone a better understanding(like it gave me)  of the different components that glue together underhood / behind the scenes, which we don't usually notice when we quickly setup instances with all the default options.
+
+Hence, please ensure you have the following installed and configured: [aws cli](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) and [jq](https://stedolan.github.io/jq/download/). Note that jq is used to parse JSON content at different places in this post, though you can use the AWS CLI's built in filters.
+
+You would see the naming conventions such as kubeadm or k8s, as these nodes are created for the purpose of creating a kubernetes cluster, and I thought I would keep the instance launching setup as a separate post.
+
+Alright, let's get started...
+
+## Configuration
+I have configured us-west-2 as the default region. You can change this as required.
+```
+$ cat ~/.aws/config 
+[default]
+region = us-west-2
+```
+
+And you should also see a credentials file like this.
+```
+$cat ~/.aws/credentials 
+[default]
+aws_access_key_id=
+aws_secret_access_key=
+```
+
+## Key Pair
+Create an [ssh key pair](https://docs.aws.amazon.com/cli/latest/userguide/cli-services-ec2-keypairs.html), as we need it to login via SSH, to the instances we are about to launch.
+```
+$ aws ec2 create-key-pair --key-name kubeadmKeyPair --query 'KeyMaterial' --output text > kubeadmKeyPair.pem
+
+$ ls
+kubeadmKeyPair.pem
+```
+
+You can set permission 400 so that only you can read it, beneficial if its a shared system.
+```
+$ chmod 400 kubeadmKeyPair.pem
+```
+
+And move it to the .ssh directory, where ssh keys are usually stored.
+```
+$ mv kubeadmKeyPair.pem ~/.ssh/.
+```
+
+## VPC
+Let's create a [VPC](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/ec2/create-vpc.html) from which we can reserve IPs for the EC2 instances.
+```
+$ aws ec2 create-vpc --cidr-block 10.0.0.0/28
+```
+
+This is a /28 subnet which should give a total of 2 ^ (32-28) = 2 ^ 4 = 16 IPs, including the gateway and broadcast IP. We can not create VPCs with lesser IPs, 16 IPs are minimum, no matter we need it or not.
+
+Let's retreive the VPC ID and save it in a variable.
+```
+$ export KUBEADM_VPC_ID=$(aws ec2 describe-vpcs | jq -r '.Vpcs[] | select(.CidrBlock == "10.0.0.0/28") | .VpcId')
+$ echo $KUBEADM_VPC_ID
+
+```
+
+## Internet Gateway
+We shall create an [Internet Gateway](https://docs.aws.amazon.com/cli/latest/reference/ec2/create-internet-gateway.html), as we need internet access to our instances, to access them via SSH from the local machine.
+```
+$ aws ec2 create-internet-gateway --tag-specifications 'ResourceType=internet-gateway,Tags=[{Key=Name,Value=kubeadm-k8s-igw}]'
+```
+
+Retrieve the gateway id.
+```
+$ export KUBEADM_IGW_ID=$(aws ec2 describe-internet-gateways --filters Name=tag:Name,Values=kubeadm-k8s-igw --query "InternetGateways[*].InternetGatewayId" --output text)
+
+$ echo $KUBEADM_IGW_ID
+
+```
+
+Now, let's [attach](https://docs.aws.amazon.com/cli/latest/reference/ec2/attach-internet-gateway.html) this to the VPC.
+```
+$ aws ec2 attach-internet-gateway --internet-gateway-id $KUBEADM_IGW_ID --vpc-id $KUBEADM_VPC_ID
+```
+
+## Route Table
+
+A route table will be associated with the VPC we created. Let' find it.
+```
+$ KUBEADM_RTB_ID=$(aws ec2 describe-route-tables | jq -r '.RouteTables[] | select(.VpcId == env.KUBEADM_VPC_ID) | .RouteTableId')
+
+$ echo $KUBEADM_RTB_ID
+
+```
+
+We can add a default route in this table, that points to our Internet Gateway.
+```
+$ aws ec2 create-route --route-table-id $KUBEADM_RTB_ID --destination-cidr-block 0.0.0.0/0 --gateway-id $KUBEADM_IGW_ID
+{
+    "Return": true
+}
+```
+
+## Subnet
+A VPC can have more than one subnet, however the minimum number of IPs in the [EC2 subnet](https://docs.aws.amazon.com/cli/latest/reference/ec2/create-subnet.html?highlight=subnet) is also 16, hence we can only have one subnet in this case, which suits our requirement though. Sixteen IPs in the subnet is more than enough, as we plan to launch only 3 instances in this subnet.
+```
+$ aws ec2 create-subnet --cidr-block 10.0.0.0/28 --vpc-id $KUBEADM_VPC_ID
+```
+
+The subnet is created, let's save the subnet id too.
+```
+$ export KUBEADM_SUBNET_ID=$(aws ec2 describe-subnets | jq -r '.Subnets[] | select(.CidrBlock == "10.0.0.0/28") | .SubnetId')
+
+$ echo $KUBEADM_SUBNET_ID
+
+```
+
+Note that if you have duplicate subnets, then you may also have to add a condition above to check if the subnet belongs to the correct VPC.
+
+We can check the availabilty zone of the subnet.
+```
+$ export KUBEADM_AVAILABILITY_ZONE=$(aws ec2 describe-subnets | jq -r '.Subnets[] | select(.CidrBlock == "10.0.0.0/28") | .AvailabilityZone')
+
+$ echo $KUBEADM_AVAILABILITY_ZONE
+us-west-2b
+```
+
+## Security Group
+We would need a [security group](https://docs.aws.amazon.com/cli/latest/userguide/cli-services-ec2-sg.html), that we can attach to our VPC, so that the instances launched in the subnet of the VPC, would leverage the rules defined in the security group.
+```
+$ aws ec2 create-security-group --group-name kubeadm-sg --description "kubeadm security group" --vpc-id $KUBEADM_VPC_ID
+```
+
+Let's save the security group's id in a variable.
+```
+$ export KUBEADM_SG_ID=$(aws ec2 describe-security-groups | jq -r '.SecurityGroups[] | select(.GroupName == "kubeadm-sg") | .GroupId')
+
+$ echo $KUBEADM_SG_ID
+
+```
+
+## Image ID
+We need to choose an Image for our instances. I am going to choose Ubuntu 20.04 LTS on amd64 architecture, you can get the ami for Ubuntu from this [link](https://cloud-images.ubuntu.com/locator/ec2/), I am going to pick ami-036d46416a34a611c.
+
+## Instance Type
+I am creating these instances to make a kubernetes cluser out of those. Hence, we need to choose an instance type that suffices kubernetes [resource requirements](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/), we need to have a minimum of 2 GB Ram and 2 CPUs. Hence I am going to filter for instance types that have 4 GB Ram, which is 4/1.074, i.e. approximately 3.75 GiB or 3840 MiB.
+```
+$ aws ec2 describe-instance-types | jq '.InstanceTypes[] | select(.MemoryInfo.SizeInMiB == 3840) | (.InstanceType, .VCpuInfo.DefaultVCpus)'
+"c3.large"
+2
+"c4.large"
+2
+"m3.medium"
+1
+```
+
+Let's check for instance types with 4GiB RAM this time, which also has 2 Default CPUs
+```
+$ aws ec2 describe-instance-types | jq '.InstanceTypes[] | select(.MemoryInfo.SizeInMiB == 4096) | select (.VCpuInfo.DefaultVCpus == 2) | .InstanceType' | sort
+"a1.large"
+"c5ad.large"
+"c5a.large"
+"c5d.large"
+"c5.large"
+"c6gd.large"
+"c6g.large"
+"c6gn.large"
+"c6i.large"
+"t2.medium"
+"t3a.medium"
+"t3.medium"
+"t4g.medium"
+```
+
+Let's check if t2.medium is available in our subnet's availability zone. Please refer to this [link](https://aws.amazon.com/premiumsupport/knowledge-center/ec2-instance-type-not-supported-az-error/) for more details.
+```
+$ aws ec2 describe-instance-type-offerings --location-type availability-zone | jq '.InstanceTypeOfferings[] | select(.Location == env.KUBEADM_AVAILABILITY_ZONE) | .InstanceType' | grep t2.medium
+"t2.medium"
+```
+So, let's fix t2.medium.
+
+## Instances
+We can now go ahead and create the [EC2 instances](https://docs.aws.amazon.com/cli/latest/userguide/cli-services-ec2-instances.html). 
+```
+$ aws ec2 run-instances --image-id ami-036d46416a34a611c --count 3 --instance-type t2.medium --key-name kubeadmKeyPair --security-group-ids $KUBEADM_SG_ID --subnet-id $KUBEADM_SUBNET_ID --associate-public-ip-address
+```
+
+We have also enabled public IP address as we need to SSH in to the instances from our machine.
+
+Great, so our instances are created finally.
+```
+$ aws ec2 describe-instances | jq -r '.Reservations[0] | .Instances[] | select(.SubnetId==env.KUBEADM_SUBNET_ID) | .InstanceId' 
+
+
+
+```
+
+Let's give these instances, some [names](https://docs.aws.amazon.com/cli/latest/userguide/cli-services-ec2-instances.html#tagging-instances).
+```
+$ aws ec2 create-tags --resources  --tags Key=Name,Value=k8s-master
+$ aws ec2 create-tags --resources  --tags Key=Name,Value=k8s-node1
+$ aws ec2 create-tags --resources  --tags Key=Name,Value=k8s-node2
+```
+
+We can get the public IP as follows.
+```
+$ export K8S_MASTER_IP=$(aws ec2 describe-instances --filter Name=tag:Name,Values=k8s-master --query "Reservations[*].Instances[*].PublicIpAddress" --output text)
+
+$ echo $K8S_MASTER_IP
+
+
+$ export K8S_NODE1_IP=$(aws ec2 describe-instances --filter Name=tag:Name,Values=k8s-node1 --query "Reservations[*].Instances[*].PublicIpAddress" --output text)
+
+$ echo $K8S_NODE1_IP
+
+
+$ export K8S_NODE2_IP=$(aws ec2 describe-instances --filter Name=tag:Name,Values=k8s-node2 --query "Reservations[*].Instances[*].PublicIpAddress" --output text)
+ 
+$ echo $K8S_NODE2_IP
+
+```
+
+## SSH
+We need to access the instances via SSH from the local machine, for which we need allow port 22 on the security group.
+
+Get the local machine's public IP.
+```
+$ export MY_PUBLIC_IP=$(curl ifconfig.me --silent)
+$ echo $MY_PUBLIC_IP
+
+```
+
+We can now :pencil: [add the rule](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/authorizing-access-to-an-instance.html).
+```
+$ aws ec2 authorize-security-group-ingress --group-id $KUBEADM_SG_ID --protocol tcp --port 22 --cidr $MY_PUBLIC_IP/32
+```
+
+Let's add the node IPs to a file.
+```
+$ cat > k8s-node-ips.txt <
+aws_secret_access_key=
+```
+
+Configuration.
+```
+$ cat ~/.aws/config 
+[default]
+region = us-east-2
+```
+
+## Create group
+Let's create a group with the name developers-group.
+```
+$ aws iam create-group --group-name developers-group
+{
+    "Group": {
+        "Path": "/", 
+        "CreateDate": "2021-12-05T09:40:24Z", 
+        "GroupId": "", 
+        "Arn": "arn:aws:iam:::group/developers-group", 
+        "GroupName": "developers-group"
+    }
+}
+```
+
+## List polices
+There are several built in policies in AWS, :muscle: that avoids the need of creating custom polcies in most cases, let's try to retrieve policies associated with EC2. Note that I have used [jq](https://stedolan.github.io/jq/download/) for parsing JSON.
+
+```
+$ aws iam list-policies | jq '.Policies[] | select(.PolicyName | contains ("EC2")) | .Arn'                                                                              
+"arn:aws:iam::aws:policy/AmazonEC2FullAccess"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2RoleforSSM"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2RoleforAWSCodeDeploy"
+"arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryFullAccess"
+"arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryReadOnly"
+"arn:aws:iam::aws:policy/service-role/AmazonElasticMapReduceforEC2Role"
+"arn:aws:iam::aws:policy/AmazonEC2ReadOnlyAccess"
+"arn:aws:iam::aws:policy/aws-service-role/AWSEC2SpotFleetServiceRolePolicy"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2SpotFleetAutoscaleRole"
+"arn:aws:iam::aws:policy/CloudWatchActionsEC2Access"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2ContainerServiceEventsRole"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2ContainerServiceAutoscaleRole"
+"arn:aws:iam::aws:policy/aws-service-role/AWSAutoScalingPlansEC2AutoScalingPolicy"
+"arn:aws:iam::aws:policy/aws-service-role/AWSEC2SpotServiceRolePolicy"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2RoleforDataPipelineRole"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2SpotFleetTaggingRole"
+"arn:aws:iam::aws:policy/aws-service-role/AWSServiceRoleForEC2ScheduledInstances"
+"arn:aws:iam::aws:policy/aws-service-role/AWSEC2FleetServiceRolePolicy"
+"arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryPowerUser"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2ContainerServiceforEC2Role"
+"arn:aws:iam::aws:policy/aws-service-role/AWSApplicationAutoscalingEC2SpotFleetRequestPolicy"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2ContainerServiceRole"
+"arn:aws:iam::aws:policy/AWSElasticBeanstalkCustomPlatformforEC2Role"
+"arn:aws:iam::aws:policy/EC2InstanceProfileForImageBuilderECRContainerBuilds"
+"arn:aws:iam::aws:policy/AmazonEC2RolePolicyForLaunchWizard"
+"arn:aws:iam::aws:policy/EC2InstanceProfileForImageBuilder"
+"arn:aws:iam::aws:policy/aws-service-role/AWSEC2CapacityReservationFleetRolePolicy"
+"arn:aws:iam::aws:policy/aws-service-role/EC2FleetTimeShiftableServiceRolePolicy"
+"arn:aws:iam::aws:policy/AWSOpsWorksRegisterCLI_EC2"
+"arn:aws:iam::aws:policy/service-role/AmazonEC2RoleforAWSCodeDeployLimited"
+"arn:aws:iam::aws:policy/AWSApplicationMigrationEC2Access"
+"arn:aws:iam::aws:policy/EC2InstanceConnect"
+```
+
+Now let's try to find policies related to S3.
+```
+$ aws iam list-policies | jq '.Policies[] | select(.PolicyName | contains ("S3")) | .Arn'
+"arn:aws:iam::aws:policy/service-role/AmazonDMSRedshiftS3Role"
+"arn:aws:iam::aws:policy/AmazonS3FullAccess"
+"arn:aws:iam::aws:policy/service-role/QuickSightAccessForS3StorageManagementAnalyticsReadOnly"
+"arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess"
+"arn:aws:iam::aws:policy/AmazonS3OutpostsFullAccess"
+"arn:aws:iam::aws:policy/aws-service-role/S3StorageLensServiceRolePolicy"
+"arn:aws:iam::aws:policy/aws-service-role/IVSRecordToS3"
+"arn:aws:iam::aws:policy/service-role/AmazonS3ObjectLambdaExecutionRolePolicy"
+"arn:aws:iam::aws:policy/AmazonS3OutpostsReadOnlyAccess"
+```
+
+## Attach policy
+Attach a relevant EC2 policy to the group.
+```
+$ aws iam attach-group-policy --group-name developers-group --policy-arn "arn:aws:iam::aws:policy/AmazonEC2ReadOnlyAccess"
+```
+
+Now let's add a second policy to the group, this time related to S3.
+```
+$ aws iam attach-group-policy --group-name developers-group --policy-arn "arn:aws:iam::aws:policy/AmazonS3FullAccess"
+```
+
+So, the group now has read only access to EC2 and full access to S3.
+
+## Create user
+Create a user with the name developer1.
+```
+$ aws iam create-user --user-name developer1
+{
+    "User": {
+        "Path": "/",
+        "UserName": "developer1",
+        "UserId": "",
+        "Arn": "arn:aws:iam:::user/developer1",
+        "CreateDate": "2021-12-05T10:02:02+00:00"
+    }
+}
+```
+
+## Add user
+Add the developer1 user to developers-group, so that the user inherits the policies attached to the group.
+```
+$ aws iam add-user-to-group --group-name developers-group --user-name developer1 
+```
+
+Nice they are asking for group name and user name here, :slightly_smiling_face:	unlike ARNs in cases where the names are not unique.
+
+## Access key
+Generate access key for the user, and share it with the user, so that they can setup the credentials for AWS CLI, just like you did.
+```
+$ aws iam create-access-key --user-name developer1
+{
+    "AccessKey": {
+        "UserName": "developer1",
+        "AccessKeyId": "",
+        "Status": "Active",
+        "SecretAccessKey": "",
+        "CreateDate": "2021-12-05T10:14:20+00:00"
+    }
+}
+```
+
+## Verify
+List the groups, the user belongs to.
+```
+$ aws iam list-groups-for-user --user-name developer1  
+{
+    "Groups": [
+        {
+            "Path": "/",
+            "GroupName": "developers-group",
+            "GroupId": "",
+            "Arn": "arn:aws:iam:::group/developers-group",
+            "CreateDate": "2021-12-05T09:40:24+00:00"
+        }
+    ]
+}
+```
+
+List the polices, attached to the group.
+```
+{
+    "AttachedPolicies": [
+        {
+            "PolicyName": "AmazonS3FullAccess",
+            "PolicyArn": "arn:aws:iam::aws:policy/AmazonS3FullAccess"
+        },
+        {
+            "PolicyName": "AmazonEC2ReadOnlyAccess",
+            "PolicyArn": "arn:aws:iam::aws:policy/AmazonEC2ReadOnlyAccess"
+        }
+    ]
+}
+```
+
+This way you can create different groups as required, attach relevant policies to the group, and add appropriate users to each group. And finally don't forget to generate the access key for each user, and share it with them, with out which they will not be able to login via the AWS CLI. Thank you !!! :thumbsup:
+
+--end-of-post--
diff --git a/_posts/2022-01-16-run-svelte-app-on-aws-cloud9.md b/_posts/2022-01-16-run-svelte-app-on-aws-cloud9.md
index 27e3a3a..6483304 100644
--- a/_posts/2022-01-16-run-svelte-app-on-aws-cloud9.md
+++ b/_posts/2022-01-16-run-svelte-app-on-aws-cloud9.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b
-categories: aws, cloud, solidjs, svelte
-date: 2022-01-16
-tags: aws, cloud, solidjs, svelte
-title: Run Svelte/Solid app on AWS Cloud9
+canonical_url: "https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b"
+categories: "aws, cloud, solidjs, svelte"
+date: "2022-01-16"
+tags: "aws, cloud, solidjs, svelte"
+title: "Run Svelte/Solid app on AWS Cloud9"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b)
diff --git a/_posts/2022-01-16/2022-01-16-run-svelte-solid-app-on-aws-cloud9.md b/_posts/2022-01-16/2022-01-16-run-svelte-solid-app-on-aws-cloud9.md
new file mode 100644
index 0000000..2c65370
--- /dev/null
+++ b/_posts/2022-01-16/2022-01-16-run-svelte-solid-app-on-aws-cloud9.md
@@ -0,0 +1,199 @@
+---
+canonical_url: "https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b"
+date: "2022-01-16"
+title: "Run Svelte/Solid app on AWS Cloud9"
+tags: "aws, cloud, solidjs, svelte"
+categories: "aws, cloud, solidjs, svelte"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b)**
+
+Hey all :wave:, let's say you do not have a system with sufficient memory / CPU, to write code on IDE and then subsequently test / run it, or if you want to test code on a Linux instance such as Ubuntu/Amazon Linux2, or may be you  just keep things related to development isolated and you don't want to mess around with your machine, you could then leverage the online IDE offered by [AWS Cloud9](https://aws.amazon.com/cloud9/) to overcome all such restrictions and also use it's preview functionality, to test the app right there. Your work is also saved, and the associated instance gets terminated if it's idle based on the cost savings duration set.
+
+You could also access other AWS services right from [AWS Cloud9](https://youtu.be/BrEjBY3jino). I've been liking :green_heart:Cloud9 so far, and in this post I would just show how to setup and run the Svelte boilerplate, and then preview it on Cloud9. Svelte as most are aware is quite popular these days, seems a bit easy/fun to learn too.
+
+Let's get started, by launching AWS cloud9. Search for Cloud9 on the AWS console, which should look like:
+![Cloud9 console](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/r5m6ijj6b5lepar0p1js.png)
+
+And then create a new environment
+![Create cloud9 environment](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rfgozetw1wvo3y7qkwmh.png)
+ 
+Give it some name
+![Cloud9 environment name](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/crcdqjdjknmo8zd99z6c.png)
+  
+I left all the other settings to be default, you may modify as required. The default settings in my case should launch an evironment with the following details:
+- Name: cloud9-svelte
+- Description: No description provided
+- Environment type: EC2
+- Instance type: t2.micro
+- Platform: Amazon Linux 2 (recommended)
+- Cost-saving settings: After 30 minutes (default)
+- IAM role: AWSServiceRoleForAWSCloud9 (generated)
+
+Note that Cloud9 only offers 3 platforms for now, to choose from.
+![Choice of Linux platforms](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yq34e4tr133uawepn1ct.png)
+ 
+The environment get's created in a while, once the create button is clicked.
+![Create cloud9 environment](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/k6k3mzhmeyo0mpqgqn49.png)
+
+There should be a bash terminal on which I am now going to run certain commands.
+![Bash on cloud9](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4kq9aodiycjojoo65qdb.png)
+
+You can just drag the tiny bash window to the top and close other tabs that are not required.
+
+Let's use degit as menitoned in the [Svelte](https://svelte.dev/blog/the-easiest-way-to-get-started) quick start guide, to bootstrap the svelte project.
+```
+nc:~/environment $ npx degit sveltejs/template my-svelte-project
+Need to install the following packages:
+  degit
+Ok to proceed? (y) y
+> cloned sveltejs/template#HEAD to my-svelte-project
+npm notice 
+npm notice New minor version of npm available! 8.1.2 -> 8.3.1
+npm notice Changelog: https://github.com/npm/cli/releases/tag/v8.3.1
+npm notice Run npm install -g npm@8.3.1 to update!
+npm notice 
+```
+We can acknowledge the npm notice and update npm, if required.
+```
+nc:~/environment $ npm install -g npm@8.3.1
+
+removed 8 packages, changed 38 packages, and audited 215 packages in 3s
+
+10 packages are looking for funding
+  run `npm fund` for details
+
+3 moderate severity vulnerabilities
+
+To address all issues, run:
+  npm audit fix
+
+Run `npm audit` for details.
+```
+
+Change to the project directory and then install the node modules.
+```
+nc:~/environment/my-svelte-project $ npm i
+
+added 97 packages, and audited 98 packages in 6s
+
+7 packages are looking for funding
+  run `npm fund` for details
+
+found 0 vulnerabilities
+```
+Excellent, npm found no vulnerabilities.
+
+Well, that's it run the Svelte app.
+```
+nc:~/environment/my-svelte-project $ npm run dev
+
+                                                > svelte-app@1.0.0 dev
+> rollup -c -w
+
+rollup v2.64.0
+bundles src/main.js → public/build/bundle.js...
+LiveReload enabled
+created public/build/bundle.js in 487ms
+
+[2022-01-16 09:39:48] waiting for changes...
+
+> svelte-app@1.0.0 start
+> sirv public --no-clear "--dev"
+
+
+  Your application is ready~! 🚀
+
+  - Local:      http://localhost:8080
+  - Network:    Add `--host` to expose
+
+────────────────── LOGS ──────────────────
+
+```
+Make a note that it's running on port 8080, based on the output above.
+
+Let's see if the app is working by using the curl command. press ALT T to open a new bash terminal. On the new terminal, execute the following command.
+```
+nc:~/environment $ curl localhost:8080
+
+
+
+        
+        
+
+        Svelte app
+
+        
+        
+        
+
+        
+
+
+
+
+
+```
+
+So, we verified the app is working through the CLI:black_circle:. We can now try it on the browser. Hit Preview > Preview Running Application on the top bar. Boom:boom:, you should see the Svelte app on the preview browser tab. ![Preview on cloud9](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/c9lbskl5qric902u7isy.png)
+
+This is so far, local preview, what if you want to view it from the Internet:globe_with_meridians:, or let's say your friends want to view your app over the  Internet while you are developing it. Let's exactly see that now,  let's get the instance's public IP.
+```
+nc:~/environment $ curl https://checkip.amazonaws.com
+
+```
+
+We have to now modify the security  group, for which we can visit the EC2 instances page on AWS console, and select our instance id.
+
+And then click on the Security group name in the Security tab. You can edit the inbound rules here.
+![Edit inbound rules](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tcacd3dnul70c0hhwmle.png)
+
+A rule can be added to allow port 8080, from your local machine.
+![Add inbound rule](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/olpi2ku7n3mls19wgm7w.png)
+
+Optionally, you can also add other source IPs, its always better to restrict traffic to minimal and known sources instead of applying rule for a broader range or subnet.
+
+Save rules and you are done.
+![Save rules](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/sncjdx0l92fz0bc0xtw5.png)
+
+Let's stop the npm process by hitting Ctl C. And then run it again by prepending HOST=0.0.0.0. [Here](https://stackoverflow.com/questions/63255453/running-svelte-dev-on-server) is why.
+```
+nc:~/environment/my-svelte-project $ HOST=0.0.0.0 npm run dev
+
+> svelte-app@1.0.0 dev
+> rollup -c -w
+
+rollup v2.64.0
+bundles src/main.js → public/build/bundle.js...
+LiveReload enabled
+created public/build/bundle.js in 476ms
+
+[2022-01-16 10:22:50] waiting for changes...
+
+> svelte-app@1.0.0 start
+> sirv public --no-clear "--dev"
+
+
+  Your application is ready~! 🚀
+
+  - Local:      http://0.0.0.0:8080
+  - Network:    http://172.31.4.12:8080
+
+────────────────── LOGS ──────────────────
+
+```
+
+If you now try to visit the Cloud9 instance's public IP on the browser, from your local machine, over port 8080, it should work.
+![Svelte app on browser](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ta0aq86s7zpobhn5v0w6.png)
+ 
+
+That's for the post, so you can make use of the online IDE offered by AWS Cloud9 and develop apps on the go. Thanks for reading !!! 
+
+Update:
+You can run [solid.js](https://docs.solidjs.com/guides/getting-started-with-solid/installing-solid) apps the same way. You can try the following commands:
+```
+npx degit solidjs/templates/ts my-app
+cd my-app
+npm  i
+npm run dev -- --host --port 8080
+```
+![solid.js on Cloud9](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wziqv36qeiqtmy2geo4y.png)
diff --git a/_posts/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md b/_posts/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md
index d17ba83..88a1a13 100644
--- a/_posts/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md
+++ b/_posts/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/nextjs-deployment-via-aws-codecommit-amplify-6oj
-categories: amplify, aws, cicd, nextjs
-date: 2022-03-19
-tags: amplify, aws, cicd, nextjs
-title: NextJS deployment via AWS CodeCommit / Amplify
+canonical_url: "https://dev.to/aws-builders/nextjs-deployment-via-aws-codecommit-amplify-6oj"
+categories: "amplify, aws, cicd, nextjs"
+date: "2022-03-19"
+tags: "amplify, aws, cicd, nextjs"
+title: "NextJS deployment via AWS CodeCommit / Amplify"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/aws-builders/nextjs-deployment-via-aws-codecommit-amplify-6oj/edit)*
diff --git a/_posts/2022-03-19/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md b/_posts/2022-03-19/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md
new file mode 100644
index 0000000..d8349fb
--- /dev/null
+++ b/_posts/2022-03-19/2022-03-19-nextjs-deployment-via-aws-codecommit-amplify.md
@@ -0,0 +1,142 @@
+---
+canonical_url: "https://dev.to/aws-builders/nextjs-deployment-via-aws-codecommit-amplify-6oj"
+date: "2022-03-19"
+title: "NextJS deployment via AWS CodeCommit / Amplify"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fgiblb0upo4c546upnakd.PNG"
+tags: "aws, nextjs, cicd, amplify"
+categories: "aws, nextjs, cicd, amplify"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/nextjs-deployment-via-aws-codecommit-amplify-6oj)**
+
+Hey All :wave:, Let's see how to add the NextJS starter code in an AWS CodeCommit repo and deploy it with AWS Amplify. I am using the [Cloud9](https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b) IDE :cloud: for this exercise. You may follow these steps on any Linux/Unix based machine though.
+
+I am using [aws cli v2](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html). You may upgrade the version if required. Also ensure you have setup the CLI with the required authentication config.
+
+```
+$ aws --version
+aws-cli/2.4.27 Python/3.8.8 Linux/4.14.262-200.489.amzn2.x86_64 exe/x86_64.amzn.2 prompt/off
+```
+
+The user id I'm using has administrator permissions :fire:, so I shouldn't  have any issues while creating the repo. If not an admin, the IAM user should be setup with [CodeCommit policies] (https://docs.aws.amazon.com/codecommit/latest/userguide/security-iam-awsmanpol.html).
+
+Let's go ahead and create the repo.
+```
+$ aws codecommit create-repository --repository-name next-js-boilerplate --repository-description "Boilerplate code for NextJS" --tag "code=JavaScript,framework=NextJS"
+{
+    "repositoryMetadata": {
+        "accountId": "",
+        "repositoryId": "",
+        "repositoryName": "next-js-boilerplate",
+        "repositoryDescription": "Boilerplate code for NextJS",
+        "lastModifiedDate": "2022-03-19T08:17:28.327000+00:00",
+        "creationDate": "2022-03-19T08:17:28.327000+00:00",
+        "cloneUrlHttp": "https://git-codecommit.us-east-2.amazonaws.com/v1/repos/next-js-boilerplate",
+        "cloneUrlSsh": "ssh://git-codecommit.us-east-2.amazonaws.com/v1/repos/next-js-boilerplate",
+        "Arn": "arn:aws:codecommit:us-east-2::next-js-boilerplate"
+    }
+}
+```
+
+The repo :file_folder: is created and should appear in the list of repositories.
+```
+$ aws codecommit list-repositories --output text
+REPOSITORIES        next-js-boilerplate
+```
+Can be checked on the AWS console too, on  the browser.
+![List of repositories in CodeCommit](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8h7dgx0vxc77na1yef17.png)
+
+We are going to connect to the repo via SSH for which we have to upload the SSH public key to the AWS user account. But before that you have to ensure the SSH key is  already generated. You may refer to this [link](https://docs.aws.amazon.com/codecommit/latest/userguide/setting-up-ssh-unixes.html) if you want to know how to  generate the SSH key pair. The public key in my system is at the standard location i.e. ~/.ssh/id_rsa.pub. 
+
+Let's upload this key :key: and retrieve the public key id.
+```
+$ SSHPublicKeyId=$(aws iam upload-ssh-public-key --user-name nc --ssh-public-key-body file://~/.ssh/id_rsa.pub --output text --query SSHPublicKey.SSHPublicKeyId)
+```
+
+Setup SSH config, and modify its permission so that only the owner(current user) of the file can access it(Read + Write).
+```
+$ cat > ~/.ssh/config <..." to include in what will be committed)
+        .eslintrc.json
+        .gitignore
+        README.md
+        next.config.js
+        package-lock.json
+        package.json
+        pages/
+        public/
+        styles/
+
+$ git add .
+$ git commit -m 'adding nextjs boiler plate code'
+
+$ git push
+```
+
+We can verify this on the AWS console.
+![NextJS Boilerplate code in AWS CodeCommit repo](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/e95g7njj4un0zye6nxii.png)
+
+
+:cool: we can now deploy this code via AWS Amplify, I am going to use the GUI for this.
+
+Search for Amplify, create a new app, and then choose CodeCommit.
+![Select the repo type, in Amplify](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dpw2zkiw8t1q532xgbh9.png)
+
+The next step is as follows, to select the correct repo and branch.
+![Select repo and branch in Amplify screen](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s3za78x0q0cw9zishodv.png)
+
+Jus continue to the final step with no changes, and deploy.
+![Deploy screen in Amplify](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/97e7geq58eljfqeyzis9.png)
+
+In a few minutes :stopwatch:, the app should be deployed. We should see the 4 stages(provision, build, deploy and verify) to  be successful. There should also be a testing stage, which we haven't used here, as no tests are written.
+![Amplify stages](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/93g1v2l6lbxmhehi51ha.png)
+
+You should now be able to view :arrow_forward: the application by clicking on the https link provided above.
+![NextJS deployment preview via Amplify](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3jl9b365pjq2apahj5xc.png)
+ 
+Thus, we have gone through some parts of CodeCommit and Amplify. CLI was used with CodeCommit, just to see the power of AWS CLI and I think many cloud operations are possible with it. Note that we can customize Amplify deployments with environment variables, build command modifications etc.
+
+That's  it for now, :slightly_smiling_face: thanks for reading...
diff --git a/_posts/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md b/_posts/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md
index cd265dc..bd8a645 100644
--- a/_posts/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md
+++ b/_posts/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/serverless-backend-setup-for-a-todo-list-in-aws-189l
-categories: api, aws, lambda, serverless
-date: 2022-04-10
-tags: api, aws, lambda, serverless
-title: Serverless backend setup for a todo list in AWS
+canonical_url: "https://dev.to/aws-builders/serverless-backend-setup-for-a-todo-list-in-aws-189l"
+categories: "api, aws, lambda, serverless"
+date: "2022-04-10"
+tags: "api, aws, lambda, serverless"
+title: "Serverless backend setup for a todo list in AWS"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/aws-builders/serverless-backend-setup-for-a-todo-list-in-aws-189l)
diff --git a/_posts/2022-04-10/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md b/_posts/2022-04-10/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md
new file mode 100644
index 0000000..8a9fe43
--- /dev/null
+++ b/_posts/2022-04-10/2022-04-10-serverless-backend-setup-for-a-todo-list-in-aws.md
@@ -0,0 +1,286 @@
+---
+canonical_url: "https://dev.to/aws-builders/serverless-backend-setup-for-a-todo-list-in-aws-189l"
+date: "2022-04-10"
+title: "Serverless backend setup for a todo list in AWS"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fzvkovl930kmnoxq2kom8.PNG"
+tags: "aws, serverless, lambda, api"
+categories: "aws, serverless, lambda, api"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/serverless-backend-setup-for-a-todo-list-in-aws-189l)**
+
+Hello :wave:, in this post :pencil: we are going to build a simple backend for a todo application using [AWS services](https://docs.aws.amazon.com/apigateway/latest/developerguide/http-api-dynamo-db.html) :cloud: such as AWS API Gateway, AWS Lambda and AWS DynamoDB.
+
+Starting with DynamoDB, we are gonna setup a table with **task** as the hash / partition key:key:. This table is a simple one with four fields task, description, date and done(binary). We don't have to specify all the fields while creating the table though except the hash key, the fields could be created dynamically while we add data to the table.
+![Create database table](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yj1d4ffdu3w6a6out7x7.png)
+
+Leave rest of the settings to the default and create the table.
+
+Next, lets go to IAM and create a policy :page_with_curl:  which would allow CRUD operations on our DynamoDB table todo. I have set CrudOhioDynamoTodoTable as the policy name as Ohio(us-east-2) is the region where the table was created. You may visit this [site](https://awspolicygen.s3.amazonaws.com/policygen.html) to generate policies:vertical_traffic_light:. The policy json is as follows.
+```
+{
+    "Version": "2012-10-17",
+    "Statement": [
+        {
+            "Action": [
+                "dynamodb:DeleteItem",
+                "dynamodb:GetItem",
+                "dynamodb:PutItem",
+                "dynamodb:Scan",
+                "dynamodb:UpdateItem"
+            ],
+            "Effect": "Allow",
+            "Resource": "arn:aws:dynamodb:us-east-2::table/todo"
+        }
+    ]
+}
+```
+![IAM policy created](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/26fk2vndj89uuf9gnyl8.png)
+
+We have to now create a role and attach this policy.
+![IAM role creation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s6273406ti326dfl8in4.png)
+
+Select the use case as Lambda and on the next page select the policy we have created.
+![Attach roleto policy](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/52zj0qkfwd508w8lzdxn.png)
+
+Choose a name for the Role, for ex. LambdaToCrudOhioDynamoTodoTable, and finally create the role.
+![Role created](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g7tdh4i7ppa7m4zvjhk2.png)
+
+*Progress so far: Lambda service role > Crud Policy > DynamoDB*
+  
+So the IAM part is done, we are good to create the Lambda function now and attach the role to it. Just set a function name (ex. todo) and set the execution role to the role we created. Rest of the settings can be default.
+![Create Lambda function](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/siv5t09on1n037oaycpp.png)
+ 
+
+Replace the code in index.js with the following and deploy the function.
+```
+const AWS = require("aws-sdk");
+
+const dynamo = new AWS.DynamoDB.DocumentClient();
+
+exports.handler = async (event, context) => {
+  let body;
+  let statusCode = 200;
+  const headers = {
+    "Content-Type": "application/json"
+  };
+
+  try {
+    switch (event.routeKey) {
+      case "DELETE /tasks/{task}":
+        await dynamo
+          .delete({
+            TableName: "todo",
+            Key: {
+              task: event.pathParameters.task
+            }
+          })
+          .promise();
+        body = `Deleted task ${event.pathParameters.task}`;
+        break;
+        
+      case "GET /tasks/{task}":
+        body = await dynamo
+          .get({
+            TableName: "todo",
+            Key: {
+              task: event.pathParameters.task
+            }
+          })
+          .promise();
+        break;
+        
+      case "GET /tasks":
+        body = await dynamo.scan({ TableName: "todo" }).promise();
+        break;
+        
+      case "PUT /tasks":
+        let requestJSON = JSON.parse(event.body);
+        await dynamo
+          .put({
+            TableName: "todo",
+            Item: {
+              task: requestJSON.task,
+              description: requestJSON.description,
+              date: requestJSON.date,
+              done: requestJSON.done ? true : false
+            }
+          })
+          .promise();
+        body = `New task added: ${requestJSON.task}`;
+        break;
+        
+      default:
+        throw new Error(`Unsupported route: "${event.routeKey}"`);
+    }
+  } catch (err) {
+    statusCode = 400;
+    body = err.message;
+  } finally {
+    body = JSON.stringify(body);
+  }
+
+  return {
+    statusCode,
+    body,
+    headers
+  };
+};
+```
+
+Ok so our Lambda function is ready.
+Lambda Function > Lambda Role > Crud Policy > Dynamo DB
+
+What's next, something should invoke the Lambda, which is our API. Let's create a single API gateway with relevant API methods.
+
+Go to API gateway on the console, and create an HTTP API with lambda integration.
+![Create API gateway](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/gknwx8qp3woq2z5ifx8r.png)
+ 
+And next the routes.
+![Configure API gateway routes](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0m4jxjiz3mfp6sxnqlcq.png)
+
+The gateway can be created with other prompts set to default values.
+![API gateway created](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mrd7qyfcgyprtnlh8mnh.png)
+ 
+Make a note of the execution URL, as that would be used to make API calls.
+
+I am going to better set it as an environment variable, so that I don't have to keep typing the longer URL for the rest of the post.
+```
+$ executionURL=https://j6yotbi8ta.execute-api.us-east-2.amazonaws.com
+```
+
+Hmm ok, so I think our backend is kinda setup now with this.
+API gateway > Lambda Function > Lambda Role > CRUD policy > DynamoDB
+
+Let's try making some calls and see if it actually works.
+```
+$ curl -X PUT ${executionURL}/tasks -H "Content-Type: application/json" -d '{                        
+"task": "BuyBooks",
+"description": "Buy Java and System Design books from Amazon",
+"date": "10-Apr-2022"
+}'
+"New task added: BuyBooks"
+
+ $ curl -X PUT ${executionURL}/tasks -H "Content-Type: application/json" -d '{
+"task": "ShutEC2Instances",
+"description": "Shut down the unused EC2 instances to avoid billing",                                      
+"date": "10-Apr-2022"              
+}'
+"New task added: ShutEC2Instances"
+```
+We were able to successfully add couple new tasks with the PUT method.
+
+Let's retrieve all items from the DB table.
+```
+$ curl --silent ${executionURL}/tasks | jq                                                            
+{
+  "Items": [
+    {
+      "date": "10-Apr-2022",
+      "task": "ShutEC2Instances",
+      "description": "Shut down the unused EC2 instances to avoid billing",
+      "done": false
+    },
+    {
+      "date": "10-Apr-2022",
+      "task": "BuyBooks",
+      "description": "Buy Java and System Design books from Amazon",
+      "done": false
+    }
+  ],
+  "Count": 2,
+  "ScannedCount": 2
+}
+```
+
+And now, retrieve items based on the primary key which in our case is task.
+```
+$ curl --silent ${executionURL}/tasks/BuyBooks | jq
+{
+  "Item": {
+    "date": "10-Apr-2022",
+    "task": "BuyBooks",
+    "description": "Buy Java and System Design books from Amazon",
+    "done": false
+  }
+}
+
+$ curl --silent ${executionURL}/tasks/ShutEC2Instances | jq                                               
+{
+  "Item": {
+    "date": "10-Apr-2022",
+    "task": "ShutEC2Instances",
+    "description": "Shut down the unused EC2 instances to avoid billing",
+    "done": false
+  }
+}
+```
+Lets make couple changes to the tasks. For the first one Java is replaced with JavaScript, and the second one I'm setting done as true.
+```
+$ curl -X PUT https://j6yotbi8ta.execute-api.us-east-2.amazonaws.com/tasks -H "Content-Type: application/json" -d '{
+"task": "BuyBooks",
+"description": "Buy JavaScript and System Design books from Amazon",                                                                                  
+"date": "10-Apr-2022"
+}'
+"New task added: BuyBooks"
+
+$ curl -X PUT https://j6yotbi8ta.execute-api.us-east-2.amazonaws.com/tasks -H "Content-Type: application/json" -d '{
+"task": "ShutEC2Instances",
+"description": "Shut down the unused EC2 instances to avoid billing",
+"date": "10-Apr-2022", "done": "true"
+}'
+"New task added: ShutEC2Instances"
+```
+The put method either creates a new item, or replaces an existing item, which I think is fine in  our case as our table is kinda small. Let's view the contents one more time.
+```
+$ curl --silent https://j6yotbi8ta.execute-api.us-east-2.amazonaws.com/tasks | jq                                                                
+{
+  "Items": [
+    {
+      "date": "10-Apr-2022",
+      "task": "ShutEC2Instances",
+      "description": "Shut down the unused EC2 instances to avoid billing",
+      "done": true
+    },
+    {
+      "date": "10-Apr-2022",
+      "task": "BuyBooks",
+      "description": "Buy JavaScript and System Design books from Amazon",
+      "done": false
+    }
+  ],
+  "Count": 2,
+  "ScannedCount": 2
+}
+```
+The value for "done" is boolean though we have set it as string while executing the curl command, this is due to the following code in Lambda function.
+```
+done: requestJSON.done ? true : false
+```
+
+Finally, the delete method.
+```
+$ curl  -X DELETE ${executionURL}/tasks/ShutEC2Instances                                                                                                    "Deleted task ShutEC2Instances"
+
+$ curl  -X DELETE ${executionURL}/tasks/BuyBooks
+"Deleted task BuyBooks"
+```
+So we have been sending unauthenticated calls from CURL. For some security, we can add IAM authorizer to all the routes.
+![Attach IAM authorizer to routes](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lalpa3xvyywtcxmxpz2a.png)
+ 
+With this, we shouldn't be able to make calls like before, we should now be authenticated and authorized.
+```
+$ curl ${executionUrl}/tasks |  jq                                                                                       
+curl: (3) URL using bad/illegal format or missing URL
+```
+
+Let's use [postman](https://aws.amazon.com/premiumsupport/knowledge-center/iam-authentication-api-gateway/) as its easy to send requests from it with AWS signature.
+![Get request in postman](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/u7yrm39qwgy29518jbdc.png)
+
+The IAM user whose credentials are entered should have permissions to send API calls to the API gateway. In my case the user id has admin permissions and hence it works good.
+![Response in postman](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2l25a4c2ci07jjfz3hwz.png)
+
+Well that's it for this post.. :thumbsup: So we saw how to setup the backend for a mini todo application with API gateway, Lambda and IAM. And we tested it with a few API calls via CURL(with out authentication) and Postman(with IAM authentication).
+
+But what's pending, we could have some sort of a web frontend that could send API calls to the API gateway using client libraries such as fetch, axios etc.  just like CURL / Postman did it for us from the CLI / Desktop, thus  resulting in a proper web application...
+
+Thanks for reading !!! Don't forget to delete the resources you have created, if they are no longer in use :)
diff --git a/_posts/2022-05-11/2022-05-11-cricket-scoring-app-using-appwrite-nextjs.md b/_posts/2022-05-11/2022-05-11-cricket-scoring-app-using-appwrite-nextjs.md
new file mode 100644
index 0000000..db4f0d8
--- /dev/null
+++ b/_posts/2022-05-11/2022-05-11-cricket-scoring-app-using-appwrite-nextjs.md
@@ -0,0 +1,45 @@
+---
+canonical_url: "https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730"
+date: "2022-05-11"
+title: "Cricket scoring app using Appwrite & NextJS"
+tags: "appwritehack, nextjs, cricket, webdev"
+categories: "appwritehack, nextjs, cricket, webdev"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730)**
+
+[Instructions]: # (To submit to the Appwrite Hackathon on DEV, please fill out all sections.)
+
+
+### Overview of My Submission
+Hi, this is an attempt to learn appwrite by trying out a single user cricket scoring app. We play cricket hence the idea, thought it would be nice to have an app that we can use for ourselves to add scoring and see how we played :).
+
+I have used NextJS with some minimal tailwind based styling, have spent more time on the functonality of the App as the state changes, due to various scoring conditions, were a bit confusing and time consuming. 
+
+Here is the link to the [github repository] (https://github.com/networkandcode/cricscore/tree/appwrite-hackathon)
+
+### Submission Category: 
+Wacky Wildcards
+
+
+
+
+### Additional Resources / Info
+Here are some screenshots
+![Signup](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7pch4omksr8ir35c809b.png)
+![Login](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/z92nob8wm3qw3vu8gfxt.png) 
+![New match](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7oi6953bdhhoh6wi1ci7.png) 
+![New match form 1](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3j6kj6qgv20i9ktd9z0m.png) 
+![New match form 2](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yzlkcsrbpkqtanlxa01r.png)
+![New match form 3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rgb0hlse5z3x88385ccs.png)
+![New match form 4](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4al14476z6zsazm2iipp.png)  
+![Match started](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/npbs6c27dzc8ahr9taay.png)
+![Add score](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1x9jyrk6aw5hmd43xh5l.png)
+![First batting score card](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/k6d1egy87813iwbu0bmc.png) 
+ 
+![cricket score](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dzlfser8l7aq1orork50.png)
+
+Note: The image at the bottom is a random one from [Unsplash](https://source.unsplash.com/featured/?wickets)
+
+FYI, the application is not quite complete, there is some more state improvements.
+
+Thank you!!!
diff --git a/_posts/2022-05-12-cricket-scoring-app-using-appwrite-nextjs.md b/_posts/2022-05-12-cricket-scoring-app-using-appwrite-nextjs.md
index a67f3c1..9216fb3 100644
--- a/_posts/2022-05-12-cricket-scoring-app-using-appwrite-nextjs.md
+++ b/_posts/2022-05-12-cricket-scoring-app-using-appwrite-nextjs.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730
-categories: appwritehack, cricker, nextjs, webdev
-date: 2022-05-12
-tags: appwritehack, cricker, nextjs, webdev
-title: Cricket scoring app using Appwrite & NextJS
+canonical_url: "https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730"
+categories: "appwritehack, cricker, nextjs, webdev"
+date: "2022-05-12"
+tags: "appwritehack, cricker, nextjs, webdev"
+title: "Cricket scoring app using Appwrite & NextJS"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730)
diff --git a/_posts/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md b/_posts/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md
index c476474..08e3145 100644
--- a/_posts/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md
+++ b/_posts/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/networkandcode/cricket-scoring-app-with-appwrite-and-nextjscontd-2k64
-categories: appwrite, nextjs, react, tailwindcss
-date: 2022-05-19
-tags: appwrite, nextjs, react, tailwindcss
-title: Cricket scoring app with Appwrite and NextJS(contd.)
+canonical_url: "https://dev.to/networkandcode/cricket-scoring-app-with-appwrite-and-nextjscontd-2k64"
+categories: "appwrite, nextjs, react, tailwindcss"
+date: "2022-05-19"
+tags: "appwrite, nextjs, react, tailwindcss"
+title: "Cricket scoring app with Appwrite and NextJS(contd.)"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/networkandcode/cricket-scoring-app-with-appwrite-and-nextjscontd-2k64/edit)*
diff --git a/_posts/2022-05-19/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md b/_posts/2022-05-19/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md
new file mode 100644
index 0000000..89f03d6
--- /dev/null
+++ b/_posts/2022-05-19/2022-05-19-cricket-scoring-app-with-appwrite-and-nextjs-contd.md
@@ -0,0 +1,389 @@
+---
+canonical_url: "https://dev.to/networkandcode/cricket-scoring-app-with-appwrite-and-nextjscontd-2k64"
+date: "2022-05-19"
+title: "Cricket scoring app with Appwrite and NextJS(contd.)"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fgpy1g909crhvzohtys42.png"
+tags: "nextjs, react, tailwindcss, appwrite"
+categories: "nextjs, react, tailwindcss, appwrite"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/cricket-scoring-app-with-appwrite-and-nextjscontd-2k64)**
+
+Hey all :wave:, this is in continuation to the [previous post](https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730), that covered changes done on the [appwrite-hackathon](https://github.com/networkandcode/cricscore/tree/appwrite-hackathon) branch, which was mainly kept and submitted for the hackathon.
+
+This post is not part of the [hackathon](https://dev.to/t/appwritehack), as it's over. I thought I would share a few more changes I have done recently, which should be visible on the [main](https://github.com/networkandcode/cricscore/tree/main) branch, and a preview is available via [vercel](https://cricscore.vercel.app/) hosting. Note that the web app may not work properly just in case the backend Appwrite server is not on, as I have used EC2 on [AWS Cloud9](https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b) for setting it up and there are chances it can be shut when idle.
+
+Ok, so here are a few screenshots from Appwrite that shows some backend, DB configuration etc.
+
+Make sure the platform configuration allows requests from the client URL, in my case it's as follows.
+![Platform configuration](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qsvaovy6ue3l82ddfbls.png)Thank you @meldiron for the quick help on this platform stuff.
+
+I have setup appwrite with a custom domain, by adding an IPv4 A record for a subdomain pointing to the EC2 instance's elastic IP. The DNS configuration can be done where you bought the domain from, with out any namespace changes. Since I am using Appwrite over a domain, I have to do two extra  things at Appwrite side, first the env variable _APP_DOMAIN_TARGET should be set to what ever domain over which you are intending to use Appwrite and then, you need to go the custom domains section and add the same URL.
+![Custom domains](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rpvsrd9w30fnidp7ix83.png)
+
+And once the .env file is setup properly Appwrite can be reinstalled/installed with `docker-compose up`, so you would need to first download both docker-compose.yaml and .env from the recent URL provided by [Appwrite](https://appwrite.io/docs/installation#manual), and also should have installed [docker-compose](https://docs.docker.com/compose/install/).
+
+```
+$ cat .env | grep -i DOMAIN_TARGET
+_APP_DOMAIN_TARGET=
+```
+
+The docker compose file should create a bunch of containers :fire:.
+```
+$ docker container ls | grep appwrite | awk '{print $2}' | uniq                                                                                           
+appwrite/appwrite:0.13.0
+traefik:2.5
+appwrite/appwrite:0.13.0
+redis:6.0-alpine3.12
+mariadb:10.7
+appwrite/telegraf:1.2.0
+appwrite/influxdb:1.0.0
+```
+As seen above, appwrite also uses mariadb behind the scenes. Though I have used 0.13 here, [0.14](https://hub.docker.com/layers/appwrite/appwrite/appwrite/0.14/images/sha256-357db37e2db12816a8bb79c816b3fbdd86e6df1ae9358c265ba5a59599ab975d?context=explore) is already out:new:. I would plan for an upgrade though, just seeing how I can do a seamless upgrade.
+
+What else, some screenshots from Appwrite that shows the DB fields.
+
+The collections are as follows.
+![Collections](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/14epfnvt8lnznmz9avcf.png)
+ 
+
+And all the collections are setup with document level permissions.
+![Document level permissions](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7bh72o9srw445378cjer.png)
+
+The atrributes and indexes for each collection are as follows.
+
+Players:
+```
+    "attributes": [
+        {
+            "key": "username",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "format": "email",
+            "default": null
+        },
+        {
+            "key": "players",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": true,
+            "size": 255,
+            "default": null
+        }
+    ]
+``` 
+
+Matches:
+```
+"attributes": [
+        {
+            "key": "matchName",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "matchNoOfPlayers",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "matchNoOfOvers",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "matchPlace",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "matchStatus",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "teamAName",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "teamAPlayers",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": true,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "teamBName",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "teamBPlayers",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": true,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "tossWinner",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "tossWinnerChoice",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "userID",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "winner",
+            "type": "string",
+            "status": "available",
+            "required": false,
+            "array": false,
+            "size": 255,
+            "default": null
+        }
+    ]
+```
+
+Overs:
+```
+"attributes": [
+        {
+            "key": "balls",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "bowler",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "matchID",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "innings",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "over",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "runs",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "wickets",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        }
+    ],
+    "indexes": [
+        {
+            "key": "matchID",
+            "type": "key",
+            "status": "available",
+            "attributes": [
+                "matchID"
+            ],
+            "orders": [
+                "ASC"
+            ]
+        }
+    ]
+```
+
+BattingScoreCard:
+```
+"attributes": [
+        {
+            "key": "balls",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "batsman",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "batsmanNo",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "innings",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "matchID",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "position",
+            "type": "string",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "size": 255,
+            "default": null
+        },
+        {
+            "key": "runs",
+            "type": "integer",
+            "status": "available",
+            "required": true,
+            "array": false,
+            "min": -9223372036854776000,
+            "max": 9223372036854776000,
+            "default": null
+        },
+        {
+            "key": "out",
+            "type": "boolean",
+            "status": "available",
+            "required": false,
+            "array": false,
+            "default": false
+        }
+    ],
+    "indexes": [
+        {
+            "key": "matchID",
+            "type": "key",
+            "status": "available",
+            "attributes": [
+                "matchID"
+            ],
+            "orders": [
+                "ASC"
+            ]
+        }
+    ]
+```
+
+The database could be even tweaked better, with precise min max values, note that the attributes have to be defined first, unlike firestore or [HarperDB](https://networkandcode.hashnode.dev/online-shop-with-nextjs-and-harperdb), where they could be created on the fly. But this approach is ok, I think we have more control, and is secure.
+
+Ok give it a [try](https://cricscore.vercel.app/), and let me know if it's ok or needs improvements to the logic or UI, and feel free to modify the [code](https://github.com/networkandcode/cricscore) and make it better.
+![Match summary](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fmwohxgfjl7x896u3jl7.png)
+   
+Thank you !!! :slightly_smiling_face:
diff --git a/_posts/2022-05-31-host-alexa-skill-on-aws-with-serverless.md b/_posts/2022-05-31-host-alexa-skill-on-aws-with-serverless.md
index 795a56a..e5274cc 100644
--- a/_posts/2022-05-31-host-alexa-skill-on-aws-with-serverless.md
+++ b/_posts/2022-05-31-host-alexa-skill-on-aws-with-serverless.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/setup-an-alexa-skill-with-serverless-1gck
-categories: alexa, aws, node, serverless
-date: 2022-05-31
-tags: alexa, aws, node, serverless
-title: Host Alexa skill on AWS with Serverless
+canonical_url: "https://dev.to/aws-builders/setup-an-alexa-skill-with-serverless-1gck"
+categories: "alexa, aws, node, serverless"
+date: "2022-05-31"
+tags: "alexa, aws, node, serverless"
+title: "Host Alexa skill on AWS with Serverless"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/aws-builders/setup-an-alexa-skill-with-serverless-1gck)*
diff --git a/_posts/2022-05-31/2022-05-31-a-sample-alexa-skill-on-aws-with-serverless.md b/_posts/2022-05-31/2022-05-31-a-sample-alexa-skill-on-aws-with-serverless.md
new file mode 100644
index 0000000..0b69eda
--- /dev/null
+++ b/_posts/2022-05-31/2022-05-31-a-sample-alexa-skill-on-aws-with-serverless.md
@@ -0,0 +1,304 @@
+---
+canonical_url: "https://dev.to/aws-builders/setup-an-alexa-skill-with-serverless-1gck"
+date: "2022-05-31"
+title: "A sample Alexa skill on AWS with Serverless"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fgalaxy"
+tags: "aws, serverless, node, alexa"
+categories: "aws, serverless, node, alexa"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/setup-an-alexa-skill-with-serverless-1gck)**
+
+Hey all :wave: we are gonna see how to setup an Alexa skill for a  trivia related to space events, using the [Serverless](https://serverless.com) framework. It's assumed you are ok with  some Alexa fundamentals and certain concepts of AWS such as IAM, Lambda etc. Let's get started.
+
+You  may go through this nice [tutorial](https://developer.amazon.com/en-US/docs/alexa/workshops/build-an-engaging-skill/get-started/index.html) if you want to get started with Alexa by building an Alexa hosted skill. What we have done here in this blog is an AWS hosted skill.
+
+## Alexa
+Login to the Alexa skill kit [console](https://developer.amazon.com/alexa/console/ask) with your developer account.
+
+You can then create a skill and give it some invocation name.
+![Skill invocation name](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nl9hd8xcz26tiw2w8x8g.png)
+
+### Intents 
+I've addedd 2 built-in intents and 2 custom intents, than what gets added by default.
+![Added intents](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tdpe0j1y4ty8i4nfdkau.png)
+
+The GetAnswerIntent has the following utterances.
+```
+it's {date}
+I guess it's on {date}
+I think the date is {date}
+{date}
+I'm guessing it's {date}
+```
+You may add more or modify as you wish. The only slot here is `date` and it is of built-in type AMAZON.DATE.
+
+Likewise the AskQuestionIntent has the following utterances.
+```
+could you ask me the question please
+can you go back to the question
+can you ask me the question
+question please
+go back to the question
+next question
+Ask question
+```
+Ensure to save and build the model once all the intents are added.
+
+## IAM 
+Log in to [AWS](https://console.aws.amazon.com) as a root user, and create a user group
+![Create group](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ekfw77ben31bnw3o66vw.png)
+
+The user group should be attached by the AWS managed permission policy [AWSCloud9User](https://console.aws.amazon.com/iam/home#/policies/arn:aws:iam::aws:policy/AWSCloud9User) that allows creating Cloud9 environments. This is not required though, if you are not using Cloud9.
+
+I've then created another custom [policy](https://us-east-1.console.aws.amazon.com/iamv2/home#/policies) with the following [JSON](https://www.serverless.com/framework/docs/guides/providers#using-a-custom-iam-role-and-policy), with the name `ServerlessPolicy` that gives enough permissions for the serverless SDK to deploy using cloud formation stack, and access to other relevant services as listed.
+``` 
+{
+    "Version": "2012-10-17",
+    "Statement": [
+        {
+            "Effect": "Allow",
+            "Action": [
+                "apigateway:DELETE",
+                "apigateway:GET",
+                "apigateway:PATCH",
+                "apigateway:POST",
+                "apigateway:PUT",
+                "cloudformation:CreateChangeSet",
+                "cloudformation:CreateStack",
+                "cloudformation:DeleteChangeSet",
+                "cloudformation:DeleteStack",
+                "cloudformation:DescribeChangeSet",
+                "cloudformation:DescribeStackEvents",
+                "cloudformation:DescribeStackResource",
+                "cloudformation:DescribeStacks",
+                "cloudformation:ExecuteChangeSet",
+                "cloudformation:ListStackResources",
+                "cloudformation:UpdateStack",
+                "cloudformation:ValidateTemplate",
+                "events:DescribeRule",
+                "events:PutRule",
+                "events:PutTargets",
+                "events:RemoveTargets",
+                "iam:CreateRole",
+                "iam:DeleteRole",
+                "iam:DeleteRolePolicy",
+                "iam:GetRole",
+                "iam:PassRole",
+                "iam:PutRolePolicy",
+                "iam:UpdateAssumeRolePolicy",
+                "lambda:AddPermission",
+                "lambda:CreateFunction",
+                "lambda:DeleteFunction",
+                "lambda:GetAccountSettings",
+                "lambda:GetAlias",
+                "lambda:GetEventSourceMapping",
+                "lambda:GetFunction",
+                "lambda:GetFunctionConfiguration",
+                "lambda:GetLayerVersion",
+                "lambda:GetLayerVersionPolicy",
+                "lambda:GetPolicy",
+                "lambda:InvokeFunction",
+                "lambda:ListAliases",
+                "lambda:ListEventSourceMappings",
+                "lambda:ListFunctions",
+                "lambda:ListLayerVersions",
+                "lambda:ListLayers",
+                "lambda:ListTags",
+                "lambda:ListVersionsByFunction",
+                "lambda:PublishVersion",
+                "lambda:RemovePermission",
+                "lambda:UpdateFunctionCode",
+                "lambda:UpdateFunctionConfiguration",
+                "logs:CreateLogGroup",
+                "logs:DeleteLogGroup",
+                "logs:DeleteSubscriptionFilter",
+                "logs:DescribeLogGroups",
+                "logs:FilterLogEvents",
+                "logs:GetLogEvents",
+                "logs:PutSubscriptionFilter",
+                "s3:CreateBucket",
+                "s3:DeleteBucket",
+                "s3:DeleteBucketPolicy",
+                "s3:DeleteBucketWebsite",
+                "s3:DeleteObject",
+                "s3:DeleteObjectVersion",
+                "s3:GetBucketLocation",
+                "s3:GetObject*",
+                "s3:ListBucket",
+                "s3:PutBucketPolicy",
+                "s3:PutEncryptionConfiguration",
+                "s3:PutObject",
+                "sts:GetCallerIdentity"
+            ],
+            "Resource": "*"
+        }
+    ]
+}
+```
+
+So the group is attached to both policies.
+![Group permission policies](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y1og68nmzwtb4achexfd.png) 
+
+Once the group is created, add a new user to the group.
+![Add user to the group](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vuwunoyeivw48k2dmmyd.png)
+
+And don't forget to copy the credentials
+
+## Instance
+You may now login to AWS as the new user. Next we need a machine from which we can clone the serverless code and deploy it, for this purpose I would be launching a [cloud 9](https://dev.to/aws-builders/run-svelte-app-on-aws-cloud9-4j5b) instance, so that I can also use it as an online editor. You can use any Linux machine though.
+
+I'd be creating a Cloud9 environment in the Mumbai region, ap-south-1.
+![Launch cloud9](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/eo0ry9tumj2ywurzdpm3.png)
+I've choosen t3.small as the instance type, we may go with t2.micro if we want a free tier eligible instance.
+
+Once it's created you shoud see the console.
+![Cloud9 environment console](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/n1ilc88c89ho82sfjd6a.png)
+
+## AWS CLI
+AWS CLI comes pre-installed in Cloud9 and it would also have the credentials file
+```
+serverless-user-1:~/environment $ ls ~/.aws/
+credentials
+```
+We can setup the config though.
+```
+serverless-user-1:~/environment $ cat ~/.aws/config 
+[default]
+region=ap-south-1
+```
+
+## Clone
+Let's clone the alexa skill repo [space-events-trivia](https://github.com/networkandcode/space-events-trivia) from github.
+```
+serverless-user-1:~/environment $ git clone https://github.com/networkandcode/space-events-trivia.git
+``` 
+The code we cloned is a set of nodejs functions and is compatible with the serverless sdk.
+```
+serverless-user-1:~/environment $ cd space-events-trivia/
+serverless-user-1:~/environment/space-events-trivia (main) $ ls
+AplRender.js                   GetAnswerIntentHandler.js  interceptors.js          README.md                      StartTriviaHandler.js
+CancelAndStopIntentHandler.js  HelpIntentHandler.js       LaunchRequestHandler.js  RepeatIntentHandler.js         triviaFunctions.js
+documents                      index.js                   package.json             serverless.yml
+ErrorHandler.js                IntentReflectorHandler.js  package-lock.json        SessionEndedRequestHandler.js
+```
+
+The file [documents/questions.json](https://github.com/networkandcode/space-events-trivia/blob/main/documents/questions.json) contains the list of questions for the trivia, you may modify it as required.
+
+## Packages
+The package.json file should tell us the packages we would be using in our code.
+![package.json](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/36jrhbpnxpjml3jxfscd.png)
+
+Let's install those.
+```
+serverless-user-1:~/environment/space-events-trivia (main) $ npm i
+npm WARN deprecated querystring@0.2.0: The querystring API is considered Legacy. new code should use the URLSearchParams API instead.
+npm WARN deprecated uuid@3.3.2: Please upgrade  to version 7 or higher.  Older versions may use Math.random() in certain circumstances, which is known to be problematic.  See https://v8.dev/blog/math-random for details.
+
+added 18 packages, and audited 19 packages in 2s
+
+1 package is looking for funding
+  run `npm fund` for details
+
+found 0 vulnerabilities
+```
+
+## Serverless
+We can install the serverless SDK and later deploy the code using it to AWS lambda. We are actually talking about two things here, one the serverless framework/SDK, and two the serverless technology offering from AWS which is Lambda. Instead of writing the functions directly on Lambda we are going to use the serverless SDK with it's constructs to acheieve the purpose in a controlled way.
+```
+serverless-user-1:~/environment $ npm i serverless -g
+```
+It should now be installed.
+```
+serverless-user-1:~/environment $ serverless -v
+Framework Core: 3.18.2
+Plugin: 6.2.2
+SDK: 4.3.2
+```
+There is a serverless.yml file in  our repo, that has our serverless [configuration](https://www.serverless.com/framework/docs/providers/aws/guide/serverless.yml), you may modify it according to your setup.
+```
+serverless-user-1:~/environment/space-events-trivia (main) $ cat serverless.yml 
+app: space-events-trivia
+service: space-events-trivia
+
+frameworkVersion: '3'
+
+provider:
+  environment:
+    DYNAMODB_REGION: ${aws:region}
+    DYNAMODB_TABLE: ${self:service}-users-${sls:stage}
+  iam:
+    role:
+      statements:
+      - Effect: 'Allow'
+        Action:
+        - 'dynamodb:CreateTable'
+        - 'dynamodb:PutItem'
+        - 'dynamodb:Get*'
+        - 'dynamodb:Scan*'
+        - 'dynamodb:UpdateItem'
+        - 'dynamodb:DeleteItem'
+        Resource: arn:aws:dynamodb:${aws:region}:${aws:accountId}:table/${self:service}-users-${sls:stage}
+  name: aws
+  region: ap-south-1
+  runtime: nodejs16.x
+  stage: dev
+
+functions:
+  handler:
+    handler: index.handler
+    events:
+    - alexaSkill: amzn1.ask.skill.${param:alexaSkillId}
+```
+The org is missing in the configuration, we can specify that while deploying. We have also given permissions for the lambda function on DynamoDB incuding the create table permission, so that the lambda function can create the table if it doesn't exist.
+
+## Deploy
+Let's deploy the function, for which first login to serverless.
+```
+$ serverless login
+? Which would you like to log into? Serverless Framework Dashboard
+Logging into the Serverless Dashboard via the browser
+If your browser does not open automatically, please open this URL:
+https://app.serverless.com?client=cli&transactionId=
+```
+Once logged in via the browser, you should see this screen.
+![Serverless logged in](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5ga38coaffss3am7cm3m.png)
+
+That's it, time to deploy.
+```
+$ serverless deploy --org  --param="alexaSkillId="
+```
+You have to mention your org and alexaSkillId before running the command above.  The org name is something you created in  serverless while signing up the account, and you can get the skill ID from the alexa developer console, so that it gets mapped with `alexaSkill: ${param:alexaSkillId}` in [serverless.yml](https://github.com/networkandcode/space-events-trivia/blob/main/serverless.yml)
+![Copy skill id](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/op4lygzb3faoxw7tqj85.png) 
+
+The function should get successfully deployed by now. The serverless dashboard should show a successful status with green color.
+![Service deployed](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wnmy9bgr9lld3bfbh9yx.png)
+
+## Endpoints
+You can get the lambda endpoint straight from the Serverless CLI.
+```
+$ serverless info --param="alexaSkillId=" --verbose
+service: space-events-trivia
+stage: dev
+region: ap-south-1
+stack: space-events-trivia-dev
+functions:
+  handler: space-events-trivia-dev-handler
+
+Stack Outputs:
+  HandlerLambdaFunctionQualifiedArn: 
+  EnterpriseLogAccessIamRole:   
+  ServerlessDeploymentBucketName: 
+
+Want to ditch CloudWatch? Try our new console: run "serverless --console"
+```
+You can copy the lambda ARN from the output above except the suffix which is a number, and set it as an endpoint in the Skill settings in Alexa developer console. It should have the format `arn:aws:lambda:::function:`. I've just added it for the default region.
+![Set endpoint](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y68ygulez2hykdejg0il.png)
+
+The skill could now be tested from the test window.
+![Skill test](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/24s9oh4zxftkufnpnskn.png)
+
+You can also test :test_tube: the skill from an Alexa device that's using the same account as your developer account.
+
+Alright then, that's it for now, thanks for reading !!!
+
+Image credit: [unsplash](https://source.unsplash.com/featured/?galaxy)
diff --git a/_posts/2022-06-11-install-appwrite-on-linode.md b/_posts/2022-06-11-install-appwrite-on-linode.md
index 586ff3a..a0fd7dd 100644
--- a/_posts/2022-06-11-install-appwrite-on-linode.md
+++ b/_posts/2022-06-11-install-appwrite-on-linode.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://networkandcode.hashnode.dev/install-appwrite-on-linode
-categories: appwrite, docker, linode, linux
-date: 2022-06-11
-tags: appwrite, docker, linode, linux
-title: Install Appwrite on Linode
+canonical_url: "https://networkandcode.hashnode.dev/install-appwrite-on-linode"
+categories: "appwrite, docker, linode, linux"
+date: "2022-06-11"
+tags: "appwrite, docker, linode, linux"
+title: "Install Appwrite on Linode"
 ---
 
 *This post first appeared on [hashnode.dev](https://networkandcode.hashnode.dev/install-appwrite-on-linode)*
diff --git a/_posts/2022-06-13-install-harperdb-on-linode.md b/_posts/2022-06-13-install-harperdb-on-linode.md
index 68170ae..7be9edd 100644
--- a/_posts/2022-06-13-install-harperdb-on-linode.md
+++ b/_posts/2022-06-13-install-harperdb-on-linode.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://networkandcode.hashnode.dev/install-harperdb-on-linode
-categories: docker, harperdb, linode, linux
-date: 2022-06-13
-tags: docker, harperdb, linode, linux
-title: Install HarperDB on Linode
+canonical_url: "https://networkandcode.hashnode.dev/install-harperdb-on-linode"
+categories: "docker, harperdb, linode, linux"
+date: "2022-06-13"
+tags: "docker, harperdb, linode, linux"
+title: "Install HarperDB on Linode"
 ---
 
 *This post first appeared on [hashnode.dev](https://networkandcode.hashnode.dev/install-harperdb-on-linode)*
diff --git a/_posts/2022-06-26-school-admin-app-with-nextjs-on-linode.md b/_posts/2022-06-26-school-admin-app-with-nextjs-on-linode.md
index 7686dcd..0128e83 100644
--- a/_posts/2022-06-26-school-admin-app-with-nextjs-on-linode.md
+++ b/_posts/2022-06-26-school-admin-app-with-nextjs-on-linode.md
@@ -1,9 +1,9 @@
 ---
-date: 2022-06-26
-canonical_url: https://networkandcode.hashnode.dev/school-admin-app-with-nextjs-on-linode
-categories: linode, nextjs, tailwindcss, typescript
-tags: linode, nextjs, tailwindcss, typescript
-title: School admin app with NextJS on Linode
+date: "2022-06-26"
+canonical_url: "https://networkandcode.hashnode.dev/school-admin-app-with-nextjs-on-linode"
+categories: "linode, nextjs, tailwindcss, typescript"
+tags: "linode, nextjs, tailwindcss, typescript"
+title: "School admin app with NextJS on Linode"
 ---
 
 *This post first appeared on [hashnode.dev](https://networkandcode.hashnode.dev/school-admin-app-with-nextjs-on-linode)*
diff --git a/_posts/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md b/_posts/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md
index 5cf04e1..d821357 100644
--- a/_posts/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md
+++ b/_posts/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/networkandcode/trying-my-hands-on-neo4j-with-some-iot-data-28g7
-categories: cypher, graphdb, iot, neo4j
-date: 2022-06-30
-tags: cypher, graphdb, iot, neo4j
-title: Trying my hands on Neo4j with some IoT data
+canonical_url: "https://dev.to/networkandcode/trying-my-hands-on-neo4j-with-some-iot-data-28g7"
+categories: "cypher, graphdb, iot, neo4j"
+date: "2022-06-30"
+tags: "cypher, graphdb, iot, neo4j"
+title: "Trying my hands on Neo4j with some IoT data"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/networkandcode/trying-my-hands-on-neo4j-with-some-iot-data-28g7)*
diff --git a/_posts/2022-06-30/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md b/_posts/2022-06-30/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md
new file mode 100644
index 0000000..d9badb6
--- /dev/null
+++ b/_posts/2022-06-30/2022-06-30-trying-my-hands-on-neo4j-with-some-iot-data.md
@@ -0,0 +1,230 @@
+---
+canonical_url: "https://dev.to/networkandcode/trying-my-hands-on-neo4j-with-some-iot-data-28g7"
+date: "2022-06-30"
+title: "Trying my hands on Neo4j with some IoT data"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Finuytab8tztbxzg7oa21.png"
+tags: "iot, neo4j, graphdb, cypher"
+categories: "iot, neo4j, graphdb, cypher"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/trying-my-hands-on-neo4j-with-some-iot-data-28g7)**
+
+## Introduction
+
+Hello :wave:, time for some GraphDB...
+
+Neo4j is a Graph DB written  in Java, the j in 4j at the end stands for Java :). I like the variety of self placed [courses](https://graphacademy.neo4j.com/courses/) and the certifications offered by them, all for free, wow.
+
+[Cypher](https://neo4j.com/docs/cypher-manual/current/) is the declarative query language we would be using to interact with the Neo4j database. We can run Cypher queries directly on the Neo4j [browser](https://neo4j.com/docs/browser-manual/current/) and can use one of the [drivers](https://neo4j.com/developer/language-guides/) to make calls to the database from our application.
+
+In this post we shall focus on running certain Cypher queries from the browser, and see some key GraphDB concepts along the  way. Let's get started...
+
+## Sandbox
+Head over to this [link](https://neo4j.com/sandbox/), signup/signin, and create a sandbox > create a project, choose Blank Project.
+
+We have choosen blank project cause we can also load our own data instead of working with some pre-built data.
+
+Click on the Open button to open the project with the Neo4j browser.
+
+## Delete all
+I have already added some data to the blank project before, so I'm going to delete all the nodes and their relationships first, you may not need this yet, however you may come back to this step later on when needed.
+```
+MATCH (n) DETACH DELETE n
+
+Deleted 42 nodes, deleted 1 relationship, completed after 9 ms.
+```
+In the command above, the parentheses pair represents a node, and n is a variable that represents a node, so we are matching all nodes (as there are no conditions) and subsequently deleting those including their relationships using [DETACH DELETE](https://neo4j.com/docs/cypher-manual/current/clauses/delete/).
+
+## Node
+A node is a discrete entity, for our IoT use case, it could be an Edge device, power source etc. Refer to this github [repo](https://github.com/muntasirjoarder/NeoThings) for a sample IoT data modeling.
+
+In Cypher a Node is enclosed in parantheses, for ex. `(e)` refers to a node represented by a variable e. 
+
+### Labels
+And then comes label(s) which are denoted by colon `:`, that we could use to tag a node, for instance if it's an edge device we could label it `:EdgeDevice`. So now our node becomes `(e:EdgeDevice)`. Note that labels are usually written in PascalCase.
+
+We could add multiple labels to a node, so let's also label our edge device as a thing, making our node look like `(e:EdgeDevice:Thing)`,  
+
+### Properties
+Properties are key value pairs defining the actual object. Let's say we want to give some names to our edge devices, like Edge Device 1, 2 etc. and another property to identify the floor in which they are installed, like GF, 1F, 2F etc. The properties for our first device would then be like:
+```
+{
+    name: 'Edge Device 1',
+    floor: 'GF'
+}
+```
+
+### Create nodes
+Our node should finally look like `(e:EdgeDevice:Thing { name: 'Edge Device 1', floor: 'GF' } )`. Note that the variable name is only optional and is required only if we reuse the variable in our query. Let's create the node on the browser.
+```
+CREATE (e:EdgeDevice:Thing { name: 'Edge Device 1', floor: 'GF' } ) RETURN e
+```
+You should now see a graph output like ![Edge Device 1 graph](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/38qkhytq3slruitbo7le.png)
+
+And the respective table should be:
+```
+{
+  "identity": 41,
+  "labels": [
+    "EdgeDevice",
+    "Thing"
+  ],
+  "properties": {
+"name": "Edge Device 1",
+"floor": "GF"
+  }
+}
+```
+Note that the identity was auto generated.
+
+### Constraints
+What if we create another node with the same properties.
+```
+CREATE (e:EdgeDevice:Thing { name: 'Edge Device 1', floor: 'GF' } ) RETURN e
+```
+
+It would get created, and we would now have two similar nodes.
+```
+MATCH (e:EdgeDevice:Thing { name: 'Edge Device 1'} ) RETURN COUNT(e)
+
+2
+```
+
+let's say we want the name of the device  to be unique, in such case, we could create a [constraint](https://neo4j.com/docs/cypher-manual/current/constraints/examples/) to set the name as unique.
+
+But before doing so, we should get rid of the duplicates, as otherwise it would throw an error. Let's first get the IDs of the nodes.
+```
+MATCH (e:EdgeDevice:Thing) RETURN(ID(e))
+
+0
+41
+```
+So there are two nodes with IDs 0 and 41, we can delete one, let's go with 41. Note the numbers may vary in your case.
+```
+MATCH (e) WHERE ID(e) = 41 DELETE e
+
+Deleted 1 node, completed after 8 ms.
+```
+
+Let's now create the constraint.
+```
+CREATE CONSTRAINT unqiue_edge_device_name FOR (e:EdgeDevice) REQUIRE e.name IS UNIQUE
+
+Added 1 constraint, completed after 70 ms.
+```
+
+Now, if we try to create another device with the same name, it should fail.
+```
+CREATE (e:EdgeDevice:Thing { name: 'Edge Device 1', floor: 'GF' } ) RETURN e
+
+Neo.ClientError.Schema.ConstraintValidationFailed
+Node(0) already exists with label `EdgeDevice` and property `name` = 'Edge Device 1'
+```
+The above [error](https://neo4j.com/docs/status-codes/current/) denotes ClientError as the error classification, Schema as the error category and ConstraintValidationFailed as the error title.
+
+### Import nodes
+So far, we have added only one edge device, we could add other devices as required in a similar manner. However it's common to import many such nodes from a CSV as it would be faster, than executing CREATE statements individually.
+
+I am just going to add some data in Google sheets as follows.
+![Google sheet for edge devices](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/864ldautyu73t9yp0xdi.png) There are 74 devices in the table, from device 2 to 75.
+
+I then published it with the following settings.![Google sheets publish](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4oft6ekutuzcyhkajt51.png). Let's now create nodes.
+```
+LOAD CSV WITH HEADERS FROM  AS row
+CREATE (:EdgeDevice:Thing { name: row.name, floor: row.floor })
+
+Added 148 labels, created 74 nodes, set 148 properties, completed after 586 ms.
+```
+Awesome, so we have successfully created the edge device nodes.
+
+### Manufacturer nodes
+Let's do a similar exercise to add nodes for the manufacturers. We would add only one property which is name.
+
+Note that I got the companies list from [here](https://builtin.com/internet-things/iot-internet-of-things-companies)
+
+Let's create those. But this time let's go with a loop as we would only add 10 companies.
+```
+WITH ['Cooler Screens',
+    'Farmer’s Fridge',
+    'Simplisafe',
+    'Inspire',
+    'Enovo',
+    'Tive',
+    'Xage Security',
+    'Samsara',
+    'Arm',
+    'Clearblade'] AS manufacturers
+FOREACH ( manufacturer IN manufacturers | CREATE (m:Manufacturer{ name:  manufacturer}) )
+
+Added 10 labels, created 10 nodes, set 10 properties, completed after 8 ms.
+```
+
+Let's also add a constraint for the name.
+```
+CREATE CONSTRAINT unqiue_manufacturer_name FOR (m:Manufacturer) REQUIRE m.name IS UNIQUE
+```
+
+## Sensor types
+Let's add few other nodes for the sensor type. I obtained the info form this [link](https://behrtech.com/blog/top-10-iot-sensor-types/)
+```
+WITH [
+    'Temperature',
+    'Humidity',
+    'Pressure',
+    'Proximity',
+    'Level',
+    'Accelerometers',
+    'Gyroscope',
+    'Gas',
+    'Infrared',
+    'Optical'
+] AS sensorTypes
+FOREACH ( sensorType IN sensorTypes | CREATE (:SensorType{ name:  sensorType }) )
+
+Added 10 labels, created 10 nodes, set 10 properties, completed after 7 ms.
+```
+
+## Relatioships
+So far we have been adding nodes, for now these nodes are isolated data entities with out any relationships to other nodes.
+
+Let's now add a relationship between the nodes Edge Device 1 and Cooler Screens.
+
+Relationships are represented by arrows and square brackets. They are unidirectional `-[]->` or `<-[]-`. They also have a label like node, but it's only one label for a relationship unlike a node, and the relationship label is also called a relationship type. 
+
+Like a node, we can also add properties to a relationship. So if we use `r` as the variable and `IS_MANUFACTURED_BY` as the label it should now become `-[r:IS_MANUFACTURED_BY]->`. Just like nodes, using a variable is optional here too, and is useful when there is a need to reuse it.
+
+Ok, so now let's put the source and target nodes in the relation, so the  final Cypher would be `(:Edge_Device:Thing { name: 'Edge Device 1' } ) -[]-> (:Manufacturer { name: 'Cooler Screens'})`
+ 
+We have formed the cypher, we just need to put CREATE before it to create the relation.
+```
+Match ( e:EdgeDevice:Thing {name: 'Edge Device 1'}), (m:Manufacturer { name: 'Cooler Screens' } )
+CREATE (e) -[r:IS_MANUFACTURED_BY]-> (m)
+RETURN e, r, m
+```
+
+Let's use MATCH to get the graph.
+```
+MATCH (e:Edge_Device:Thing { name: 'Edge Device 1' } ) -[r:IS_MANUFACTURED_BY]-> (m:Manufacturer { name: 'Cooler Screens'}) RETURN e, r, m
+```
+
+The graph should look like ![Relationship graph](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0mwep5gzq8jf1arem1lj.png)
+
+Note that we can drag the graph objects for desired visibility. 
+
+### Sensor
+To say Edge device device 1 supports Temperature sensor.
+```
+Match ( e:EdgeDevice:Thing {name: 'Edge Device 1'}), (s:SensorType { name: 'Temperature' })
+CREATE (e) -[r:HAS_SENSOR_TYPE]-> (s)
+RETURN e, r, s
+```
+
+The returned graph should be
+![Sensor relationship](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/x0ka1w2y6adee1b2gi64.png)
+
+Let's now see the final graph of Edge device 1 with both relationships.
+```
+MATCH (e:EdgeDevice:Thing) -[r]-> (n) RETURN e, r, n
+```
+![Graph with all relationships](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/b2pyb54v2y9ljtld2dqy.png)
+ 
+Thus, we have put some minimal data relevant to IoT and explored some fundamental concepts/functionalities of GraphDB, Cypher, and the Neo4j browser. Thank you for reading !!!
diff --git a/_posts/2022-07-07/2022-07-07-setup-iot-core-on-google-cloud-with-terraform.md b/_posts/2022-07-07/2022-07-07-setup-iot-core-on-google-cloud-with-terraform.md
new file mode 100644
index 0000000..79ff607
--- /dev/null
+++ b/_posts/2022-07-07/2022-07-07-setup-iot-core-on-google-cloud-with-terraform.md
@@ -0,0 +1,351 @@
+---
+canonical_url: "https://dev.to/networkandcode/setup-iot-core-on-google-cloud-with-terraform-4h6a"
+date: "2022-07-07"
+title: "Setup IoT core on Google cloud with Terraform"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fiot"
+tags: "cloud, googlecloud, iot, terraform"
+categories: "cloud, googlecloud, iot, terraform"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/setup-iot-core-on-google-cloud-with-terraform-4h6a)**
+
+Hello :wave:, we shall see how to provision a minimal IoT infrastructure on Google cloud with Terraform.
+
+I shall be doing this straight on the Google cloud shell...
+
+## Project
+Set your gcloud config...
+
+Get you projects list and set one of the projects as the current project.
+```
+$ gcloud projects list
+
+$ gcloud config set project 
+```
+
+## Directories
+Let's create two directories for the terraform resources, one for the service account and another for rest of the resources.
+```
+$ mkdir ~/sa
+$ mkdir ~/iot
+```
+and one more hidden directory for storing the keys/certificates.
+```
+$ mkdir ~/.auth
+```
+
+## TF Provider
+We would set the Terraform provider configuration here.
+
+Get the list of zones in the specific region. Note that cloud IoT is currently supported in  these regions: asia-east1, europe-west1, us-central1.
+```
+$ gcloud compute zones list --filter="region~asia-east1" | grep -i name
+NAME: asia-east1-b
+NAME: asia-east1-a
+NAME: asia-east1-c
+```
+
+I would be using zone c.
+
+Set the provider details in terraform with the available information.
+```
+$ cat ~/sa/main.tf 
+provider "google" {
+    project = ""
+    region = "asia-east1"
+    zone = "asia-east1-c"
+}
+
+$ cp ~/sa/main.tf ~/iot/main.tf
+```
+
+## Service account
+We are going to create a service account from our user account, which could be further used for creating other resources using terraform.
+```
+$ ls ~/sa
+main.tf  outputs.tf  sa.tf
+
+$ cat ~/sa/sa.tf
+# https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/google_service_account
+
+resource "google_service_account" "iot_sa" {
+  account_id   = "iot-sa"
+  display_name = "IoT Service Account"
+}
+
+# note this requires the terraform to be run regularly
+resource "time_rotating" "iot_sa_key_rotation" {
+  rotation_days = 30
+}
+
+resource "google_service_account_key" "iot_sa_key" {
+  service_account_id = google_service_account.iot_sa.name
+
+  keepers = {
+    rotation_time = time_rotating.iot_sa_key_rotation.rotation_rfc3339
+  }
+}
+
+resource "google_project_iam_member" "iot_editor" {
+  project = var.project_id
+  role    = "roles/cloudiot.editor"
+  member  = "serviceAccount:${google_service_account.iot_sa.email}"
+
+  condition {
+    title       = "expires_after_2022_07_31"
+    description = "Expiring at midnight of 2022-07-31"
+    expression  = "request.time < timestamp(\"2022-08-01T00:00:00Z\")"
+  }
+}
+
+resource "google_project_iam_member" "pub_sub_editor" {
+  project = var.project_id
+  role    = "roles/pubsub.editor"
+  member  = "serviceAccount:${google_service_account.iot_sa.email}"
+
+  condition {
+    title       = "expires_after_2022_07_31"
+    description = "Expiring at midnight of 2022-07-31"
+    expression  = "request.time < timestamp(\"2022-08-01T00:00:00Z\")"
+  }
+}
+
+$ cat ~/sa/variables.tf
+variable "project_id" {
+  type = string
+  default = ""
+}
+
+$ cat ~/sa/outputs.tf
+output "iot_sa_private_key" {
+  description = "Private key of the IoT service account"
+  value       = google_service_account_key.iot_sa_key.private_key
+  sensitive = true
+}
+```
+
+So we are creating a service account with editor roles on IoT core & Pub/Sub, a key for the service account with rotation, and then we would output the private key to save it locally for future use.
+
+## API
+We have to enable the Cloud IoT [API](https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/google_project_service), you can get the fqdn of it using `$ gcloud services list --available --filter="name~.*iot.*"`. Let's add the terraform configuration which can enable it.
+```
+$ cat ~/sa/variables.tf
+variable "project_id" {
+  type = string
+  default = ""
+}
+
+$ cat ~/sa/apis.tf
+resource "google_project_service" "cloudiot" {
+  project = var.project_id
+  service = "cloudiot.googleapis.com"
+
+  timeouts {
+    create = "30m"
+    update = "40m"
+  }
+
+  disable_dependent_services = true
+}
+```
+
+## Apply
+We can now create the service account, it's associated resources, and enable the Cloud IoT API.
+```
+$ cd ~/sa
+$ terraform init
+
+# optional, to know what will be  changed
+$ terraform plan
+
+$ terraform apply --auto-approve
+```
+
+## Validate
+Validate the service account creation, via the console.
+![Service account](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/osu1meit8btydayjxdx9.png)
+
+And the roles attached to it.
+![Service account roles](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yg9mlgi34dhr1jgbe229.png) 
+
+## Key
+The private key of the service account could be retrieved from the terraform output.
+```
+$ terraform output -raw iot_sa_private_key | base64 -d > ~/.auth/iot_sa_private_key.json
+```
+We have saved the base64 decoded private key in a hidden auth directory at home.
+
+## Credentials
+We could now start using the service principal's private key as  a credential for rest of our Terraform activities, for which we have to set an environment variable.
+```
+$ export GOOGLE_APPLICATION_CREDENTIALS=~/.auth/iot_sa_private_key.json
+```
+
+Note: to remove the credential anytime, jus run `unset GOOGLE_APPLICATION_CREDENTIALS`
+
+## Certificate
+The connection between the IoT devices and Google IoT core would be secure over TLS, hence a [certificate](https://cloud.google.com/iot/docs/create-device-registry#create_your_credentials) should be generated for our virtual device.
+```
+$ openssl req -x509 -newkey rsa:2048 -keyout ~/.auth/rsa_private.pem -nodes -out ~/.auth/rsa_cert.pem -subj "/CN=unused"
+
+$ ls ~/.auth/ | grep pem
+rsa_cert.pem
+rsa_private.pem
+```
+The private key is in rsa_private.pem and the public certificate is in rsa_cert.pem.
+
+We would keep the private key locally and refer to it while generating a client connection from our device(we are not dealing with the client side of things in  this post though), where as the public certificate would be attached to the remote side, in this case, the IoT core.
+
+## Registry
+Add the [terrafaorm](https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/cloudiot_registry) configuration for the device registry, pub/sub topics it would use.
+```
+$ cd ~/iot
+
+$ cat registry.tf
+# https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/cloudiot_registry
+
+resource "google_cloudiot_registry" "iot-registry" {
+  name     = "iot-registry"
+
+  event_notification_configs {
+    pubsub_topic_name = google_pubsub_topic.additional-telemetry.id
+    subfolder_matches = "test/path"
+  }
+
+  event_notification_configs {
+    pubsub_topic_name = google_pubsub_topic.default-telemetry.id
+    subfolder_matches = ""
+  }
+
+  state_notification_config = {
+    pubsub_topic_name = google_pubsub_topic.default-devicestatus.id
+  }
+
+  mqtt_config = {
+    mqtt_enabled_state = "MQTT_ENABLED"
+  }
+
+  http_config = {
+    http_enabled_state = "HTTP_ENABLED"
+  }
+
+  log_level = "INFO"
+}
+```
+We would be using 3 topics, all messages published by the client to the path /devices/DEVICE_ID/events would go to the default telemetry topic, and all messages for /devices/DEVICE_ID/state would go to the default device state topic. We have one additional topic with sub folder path "test/path" which means the messages published to /devices/DEVICE_ID/events/test/path would land there.
+
+## Pub/Sub
+A separate file for creating the pub/sub topics which will be linked to the registry.
+```
+resource "google_pubsub_topic" "default-devicestatus" {
+  name = "default-devicestatus"
+}
+
+resource "google_pubsub_topic" "default-telemetry" {
+  name = "default-telemetry"
+}
+
+resource "google_pubsub_topic" "additional-telemetry" {
+  name = "additional-telemetry"
+}
+```
+## Devices
+We would be creating two devices, a basic one which should bind with the gateway, and an advanced device that could be standalone with out a gateway.
+
+The authentication for the basic device will be handled by the gateway and hence, we don't have to set any credentials for the basic device.
+```
+$ cat basic-device.tf
+# https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/cloudiot_device
+
+resource "google_cloudiot_device" "basic-device" {
+  name     = "basic-device"
+  registry = google_cloudiot_registry.iot-registry.id  
+}
+
+$ cat advanced-device.tf
+# https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/cloudiot_device
+
+resource "google_cloudiot_device" "advanced-device" {
+  name     = "advanced-device"
+  registry = google_cloudiot_registry.iot-registry.id
+
+  credentials {
+    public_key {
+        format = "RSA_X509_PEM"
+        key = file("~/.auth/rsa_cert.pem")
+    }
+  }
+}
+```
+
+## Gateway
+And now the gateway.
+```
+# https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/cloudiot_device
+
+resource "google_cloudiot_device" "iot-gateway" {
+  name     = "iot-gateway"
+  registry = google_cloudiot_registry.iot-registry.id 
+
+  credentials {
+    public_key {
+        format = "RSA_X509_PEM"
+        key = file("~/.auth/rsa_cert.pem")
+    }
+  }
+
+  gateway_config {
+    gateway_type = "GATEWAY"
+    gateway_auth_method = "ASSOCIATION_ONLY"
+  }
+}
+```
+I have setup ASSOCIATION_ONLY as the auth method, which means the device I will bind to this gateway would rely on this gateway for authentication and woudln't authenticate with its own credential.
+
+## Apply
+The resources can be created.
+```
+$ terraform init
+
+# optional, to see what will change
+$ terraform plan
+
+$ terraform apply
+```
+
+## Bind
+The basic device should be bounded with the gateway, so that the gateway generate JWTs on behalf of the device.
+```
+$ gcloud iot devices gateways bind --gateway iot-gateway --gateway-region asia-east1 --gateway-registry iot-registry --device basic-device --device-region asia-east1
+```
+I used gcloud for binding the device with the gateway as I was not able to quite find it in the terraform registry.
+
+## Validate
+Finally, check the resources on the console.
+
+*Registry*
+![Registry](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vy51868va1nsh7wet6b4.png)
+ 
+*Devices*
+![Devices](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/aikr23urwn2o5sj9h9qu.png)
+
+*Gateway*
+![Gateway](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tayjuc9w5we9nwmsawrj.png)
+
+*Device binding*
+![Device binding](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/f65crdcmkjl60zzu6u3b.png)
+
+Seems all good :)
+
+## Graph
+Let's look at the graph that terraform can generate. We can view it on the cloud shell editor itself.
+
+```
+$ terraform graph | dot -Tsvg > graph.svg
+
+$ ls *.svg
+graph.svg
+```
+
+![Graph](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yobgj0gj78kor9hxoymo.png)
+ 
+With this the post is complete, thanks for reading !!!
diff --git a/_posts/2022-07-11-setup-iot-core-on-google-cloud-with-terraform.md b/_posts/2022-07-11-setup-iot-core-on-google-cloud-with-terraform.md
index 91e1f3c..4893cfd 100644
--- a/_posts/2022-07-11-setup-iot-core-on-google-cloud-with-terraform.md
+++ b/_posts/2022-07-11-setup-iot-core-on-google-cloud-with-terraform.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/networkandcode/setup-iot-core-on-google-cloud-with-terraform-4h6a
-categories: cloud, googlecloud, iot, terraform
-cover_image: https://source.unsplash.com/featured/?iot
-tags: cloud, googlecloud, iot, terraform
-title: Setup IoT core on Google cloud with Terraform
+canonical_url: "https://dev.to/networkandcode/setup-iot-core-on-google-cloud-with-terraform-4h6a"
+categories: "cloud, googlecloud, iot, terraform"
+cover_image: "https://source.unsplash.com/featured/?iot"
+tags: "cloud, googlecloud, iot, terraform"
+title: "Setup IoT core on Google cloud with Terraform"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/networkandcode/setup-iot-core-on-google-cloud-with-terraform-4h6a)*
diff --git a/_posts/2022-07-17-aws-iot-pub-sub-over-mqtt.md b/_posts/2022-07-17-aws-iot-pub-sub-over-mqtt.md
index 959741b..a1ae6dd 100644
--- a/_posts/2022-07-17-aws-iot-pub-sub-over-mqtt.md
+++ b/_posts/2022-07-17-aws-iot-pub-sub-over-mqtt.md
@@ -1,10 +1,10 @@
 ---
-canonical_url: https://dev.to/aws-builders/aws-iot-pubsub-over-mqtt-1oig
-categories: aws, ios, python, mqtt
-cover_image: https://source.unsplash.com/featured/?device
-date: 2022-07-17
-tags: aws, ios, python, mqtt
-title: AWS IoT pub/sub over MQTT
+canonical_url: "https://dev.to/aws-builders/aws-iot-pubsub-over-mqtt-1oig"
+categories: "aws, ios, python, mqtt"
+cover_image: "https://source.unsplash.com/featured/?device"
+date: "2022-07-17"
+tags: "aws, ios, python, mqtt"
+title: "AWS IoT pub/sub over MQTT"
 ---
 
 *This post first appeared on [dev.to](https://dev.to/aws-builders/aws-iot-pubsub-over-mqtt-1oig)*
diff --git a/_posts/2022-07-17/2022-07-17-aws-iot-pub-sub-over-mqtt.md b/_posts/2022-07-17/2022-07-17-aws-iot-pub-sub-over-mqtt.md
new file mode 100644
index 0000000..d123118
--- /dev/null
+++ b/_posts/2022-07-17/2022-07-17-aws-iot-pub-sub-over-mqtt.md
@@ -0,0 +1,294 @@
+---
+canonical_url: "https://dev.to/aws-builders/aws-iot-pubsub-over-mqtt-1oig"
+date: "2022-07-17"
+title: "AWS IoT pub/sub over MQTT"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fdevice"
+tags: "aws, iot, python, mqtt"
+categories: "aws, iot, python, mqtt"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/aws-iot-pubsub-over-mqtt-1oig)**
+
+## Introduction
+Hello, in this  post we would create an IoT thing on AWS, use it's credentials, to create two virtual clients on a Linux VM with python and test publishing from one client and subscribing from the other.
+
+## VM
+Use your Linux machine or a VM as a virtual IoT device. We would be doing all of the CLI / coding tasks in the post, on this VM.
+
+## AWS
+Install and setup the [AWS CLI](https://aws.amazon.com/cli/). Here is the region I have set as default.
+```
+$ cat ~/.aws/config                                                                                                                                                                   
+[default]
+region = ap-south-1
+```
+
+## Endpoint
+Goto `AWS IoT > Settings` on the cloud console, and get the Device data endpoint which is unique to the AWS account/region. Or get it from the AWS CLI.
+```
+$ IOT_DEV_EP=$(aws iot describe-endpoint --region ap-south-1 --output text --query endpointAddress)
+
+$ echo $IOT_DEV_EP
+.iot.ap-south-1.amazonaws.com
+```
+
+Check connectivity to this endpoint from the Linux VM, which is your virtual IoT device.
+```
+$ ping -c 1 $IOT_DEV_EP
+---TRUNCATED---
+1 packets transmitted, 1 received, 0% packet loss, time 0ms
+rtt min/avg/max/mdev = 196.145/196.145/196.145/0.000 ms
+```
+
+I have tested with 1 packet `-c 1`. You may send more than one though.
+
+You can also check connectivity to the secure port for MQTT i.e. 8883 on the endpoint. Telnet should be  present/installed on the machine though, for ex. `sudo yum install telnet -y`.
+```
+$ telnet $IOT_DEVICE_EP 8883
+Trying ...
+Connected to -ats.iot.ap-south-1.amazonaws.com.
+Escape character is '^]'.
+```
+
+## Thing
+Goto `AWS IoT > Manage > Things > Create Things` 
+on the cloud console and create a new thing with the name *temp-sensor*, set unnamed shadow(classic) and choose 
+*Auto-generate a new certificate (recommended)*.
+
+In the policies section, create and select a new policy with the name *temp-sensor* and the following JSON.
+```
+{
+  "Version": "2012-10-17",
+  "Statement": [
+    {
+      "Effect": "Allow",
+      "Action": [
+        "iot:Connect",
+        "iot:Publish",
+        "iot:Receive",
+        "iot:RetainPublish",
+        "iot:Subscribe"
+      ],
+      "Resource": "*"
+    }
+  ]
+}
+```
+Download all the certificates/keys and name those as needed, I have named them as follows.
+```
+$ ls *.pem
+ca-cert.pem  pub-cert.pem  pub-key.pem  pvt-key.pem
+```
+
+Note: If you are using a different host system like Windows with a browser, you can download these files, copy the content and then paste into the respective file on a Linux VM.
+
+## SDK
+We would be  using the AWS IoT SDK for Python.
+```
+# Clone the repository
+git clone https://github.com/aws/aws-iot-device-sdk-python-v2.git
+
+# Install using Pip
+python3 -m pip install ./aws-iot-device-sdk-python-v2
+
+# Remove  the clone, if it isn't required anymore
+$ rm -rf aws-iot-device-sdk-python-v2
+```
+
+## Connect
+We have to first import the mqtt_connection_builder package from the awsiot sdk.
+```
+from awsiot import mqtt_connection_builder
+```
+We need the endpoint, the cerificate/key paths and a client_id to initiate a connection. We can generate a client_id using the uuid package.
+```
+from uuid import uuid4
+client_id = 'client-' + str(uuid4())
+```
+
+We can then pass the files as arguments using the argparse package.
+```
+##### parse arguments
+import argparse
+
+parser = argparse.ArgumentParser(description="Send and receive messages through and MQTT connection.")
+
+parser.add_argument('--ep', help="IoT device endpoint .iot..amazonaws.com", required=True, type=str)
+parser.add_argument('--pubcert', help="IoT device public certificate file path", required=True, type=str)
+parser.add_argument('--pvtkey', help="IoT device private key file path", required=True, type=str)
+parser.add_argument('--cacert', help="IoT device CA cert file path", required=True, type=str)
+parser.add_argument('--topic', help="Topic name", required=True, type=str)
+
+args = parser.parse_args()
+```
+You can also skip the parse arguments step and add the parameters directly.
+
+We have the necessary parameters to initiate the connection.
+```
+mqtt_connection = mqtt_connection_builder.mtls_from_path(
+    endpoint=args.ep,
+    cert_filepath=args.pubcert,
+    pri_key_filepath=args.pvtkey,
+    ca_filepath=args.cacert,
+    client_id=client_id
+)
+
+connect_future = mqtt_connection.connect()
+
+# result() waits until a result is available
+connect_future.result()
+print(f'{client_id} is connected!')
+```
+
+Put the code we saw in the connect section so far in a file called connect.py and run  the following.
+```
+ $ python connect.py --ep $IOT_DEV_EP --pubcert pub-cert.pem --pvtkey pvt-key.pem --cacert ca-cert.pem --topic temperature                               
+client-3924e5d4-97d3-43e6-b214-169d008b2d02 is connected!
+```
+Great, the connection is successful.
+
+## Publish
+Before publishing, let's import certain  variables from the previous connect code we wrote.
+```
+# import vars from connect.py
+from connect import args, client_id, mqtt_connection
+```
+
+We shall publish a message from our client that contains the client-id, temperature and current time. We already have the client_id with us.
+
+We can use the datetime library for getting the timestamp.
+```
+# set timestamp
+from datetime import datetime
+now = datetime.now()
+```
+
+And we can generate a random number for the temperature.
+```
+# set temperature
+import random
+temp = random.randrange(10, 40)
+```
+
+So our message now looks like:
+```
+# form the message
+message = f'id: {client_id}, temp: {temp}, time: {now}'
+```
+
+Time to  publish it with the publish method.
+```
+# publish the  message
+from awscrt import mqtt
+import json
+mqtt_connection.publish(
+    topic=args.topic,
+    payload= json.dumps(message),
+    qos=mqtt.QoS.AT_LEAST_ONCE
+)
+print('Message published')
+```
+
+Note that awscrt is the AWS common runtime library we are using to set the [QoS](http://docs.oasis-open.org/mqtt/mqtt/v3.1.1/os/mqtt-v3.1.1-os.html#_Toc385349263).
+
+Put this code in a separate file with name *publisher.py* and run it.
+```
+ $ python publisher.py --ep $IOT_DEV_EP --pubcert pub-cert.pem --pvtkey pvt-key.pem --cacert ca-cert.pem --topic temperature
+client-cb3f69b6-b53b-42a4-973f-63abe39f2c4f is connected!
+Message published
+```
+
+So far we published only one message, I would be modifying the code so that it continuously sends one message per second until interrupted with  Ctrl C.
+```
+$ cat publisher.py 
+# import vars from connect.py
+from connect import args, client_id, mqtt_connection
+
+from awscrt import mqtt
+from datetime import datetime
+import json, random, time
+
+while True:
+    # set timestamp
+    now = datetime.now()
+    
+    # set temperature
+    temp = random.randrange(10, 40)
+    
+    # form the message
+    message = f'id: {client_id}, temp: {temp}, time: {now}'
+    
+    # publish the  message
+    mqtt_connection.publish(
+        topic=args.topic,
+        payload= json.dumps(message),
+        qos=mqtt.QoS.AT_LEAST_ONCE
+    )
+    print(f'Message published: {message}')
+    time.sleep(1)
+```
+
+Run the code again.
+```
+ $ python publisher.py --ep $IOT_DEV_EP --pubcert pub-cert.pem --pvtkey pvt-key.pem --cacert ca-cert.pem --topic temperature
+client-1102832d-a0c0-481c-b1f4-5b363f9c0890 is connected!
+Message published: id: client-1102832d-a0c0-481c-b1f4-5b363f9c0890, temp: 14, time: 2022-07-17 09:20:44.652955
+Message published: id: client-1102832d-a0c0-481c-b1f4-5b363f9c0890, temp: 29, time: 2022-07-17 09:20:45.654102
+Message published: id: client-1102832d-a0c0-481c-b1f4-5b363f9c0890, temp: 35, time: 2022-07-17 09:20:46.655002
+```
+
+Publishing looks good, let's go to the subscriber.
+
+## Subscriber
+Firts, import certain vars from the connect module, similar to what we did in publisher.
+```
+# import vars from connect.py
+from connect import args, mqtt_connection
+```
+
+Define a callback function that triggers when a message is received on the topic.
+```
+# call back to trigger when a message is received
+def on_message_received(topic, payload, dup, qos, retain, **kwargs):
+    print("Received message from topic '{}': {}".format(topic, payload))
+```
+
+Subscribe to the topic.
+```
+##### subscribe to topic
+from awscrt import mqtt
+subscribe_future, packet_id = mqtt_connection.subscribe(
+    topic=args.topic,
+    qos=mqtt.QoS.AT_LEAST_ONCE,
+    callback=on_message_received
+)
+
+# result() waits until a result is available
+subscribe_result = subscribe_future.result()
+print(f'Subscribed to {args.topic}')
+```
+
+We need to the keep the program open, so that we can read the messages, as defined in the callback function. For this, we can use the threading module.
+```
+import threading
+threading.Event().wait()
+```
+
+Keep this code in a file named subscriber.py.
+
+Time to run  the subscriber code while the publisher code is also running.
+![Pub/Sub on clients](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pymtve3ooe2yg0qilgb1.png)
+ 
+## Test on console
+You can also test if the publish/subscribe operations  are working correctly via the handy MQQT test client on AWS cloud. So if you are publishig from the code, you can test it at the subscriber window.
+![Sub on MQTT test client](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/baw6ios95lo1he3naur7.png)
+
+And likewise if you are subscribing on the code, you can publish a test message from the MQTT test client.
+![Pub on MQTT test client](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wlccrt9k3jocpzwcmmjb.png)
+```
+$ python3 subscriber.py --ep $IOT_DEV_EP --pubcert pub-cert.pem --pvtkey pvt-key.pem --cacert ca-cert.pem --topic temperature
+client-a17093b1-108e-4f3c-a65c-ea38900f2153 is connected!
+Subscribed to temperature
+Received message from topic 'temperature': b'{\n  "message": "Hello from AWS IoT console"\n}'
+```
+
+With this the post is complete ;), thank you for reading !!!. For other code examples provided by  the AWS team, please checkout this [github link](https://github.com/aws/aws-iot-device-sdk-python-v2/tree/main/samples)
diff --git a/_posts/2022-08-29-aws-cloudtrail-log-file-validation.md b/_posts/2022-08-29-aws-cloudtrail-log-file-validation.md
index 9d1c8ed..771293d 100644
--- a/_posts/2022-08-29-aws-cloudtrail-log-file-validation.md
+++ b/_posts/2022-08-29-aws-cloudtrail-log-file-validation.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/aws-cloudtrail-log-file-validation-1ehl
-categories: aws, cloudtrail, logging, s3
-date: 2022-08-29
-tags: aws, cloudtrail, logging, s3
-title: AWS CloudTrail log file validation
+canonical_url: "https://dev.to/aws-builders/aws-cloudtrail-log-file-validation-1ehl"
+categories: "aws, cloudtrail, logging, s3"
+date: "2022-08-29"
+tags: "aws, cloudtrail, logging, s3"
+title: "AWS CloudTrail log file validation"
 ---
 
 This post first appeared on [dev.to](https://dev.to/aws-builders/aws-cloudtrail-log-file-validation-1ehl)
diff --git a/_posts/2022-08-29/2022-08-29-aws-cloudtrail-log-file-validation.md b/_posts/2022-08-29/2022-08-29-aws-cloudtrail-log-file-validation.md
new file mode 100644
index 0000000..9b5602a
--- /dev/null
+++ b/_posts/2022-08-29/2022-08-29-aws-cloudtrail-log-file-validation.md
@@ -0,0 +1,128 @@
+---
+canonical_url: "https://dev.to/aws-builders/aws-cloudtrail-log-file-validation-1ehl"
+date: "2022-08-29"
+title: "AWS CloudTrail log file validation"
+tags: "aws, cloudtrail, logging, s3"
+categories: "aws, cloudtrail, logging, s3"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/aws-cloudtrail-log-file-validation-1ehl)**
+
+## Introduction
+CloudTrail lets us log all API calls in our AWS cloud. In this post, we shall see how to create a CloudTrail, see where the logs are stored in S3, delete log, digest files and perform log file validation.
+
+## Create a CloudTrail
+Search for CloudTrail on the AWS console and create a trail.
+![Create cloud trail](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5ojcn1fxyhmdz2bvzvzi.png) 
+
+## S3 bucket
+A bucket should be automatically created and associated with the CloudTrail. A folder with the name CloudTrail should appear on the bucket where all the cloud trail logs should get saved. 
+![S3 bucket for cloud trail](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yw5zei5v3ouuie7f0mbn.png) 
+
+## Generate logs
+Now let's do an activity and see if it gets logged. Create a lambda function with name helloWorld and all other settings as default. You can do any other activity on AWS cloud as well, instead of creating a function.
+![Lambda function](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ntkzldnsrkx2xenqdsb9.png)
+ 
+We should see some files on S3  for this activity.
+![Log files on S3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/x5oayy9diyj1w6kui5kf.png)
+  
+## Delete log file
+I am deleting one of  the log files.
+![Deleting log file](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zle3jv7vq8m0eedykz19.png)
+
+Log files are not suppose to be modified/deleted, as they can hold important auditing information, so now we need to find if our log files are modified or deleted(as in this case). 
+
+We try to validate now from the [AWS CLI](https://aws.amazon.com/cli/), it should say the digest file doesn't exit.
+```
+$ aws cloudtrail validate-logs --trail-arn arn:aws:cloudtrail:ap-south-1::trail/management-events --start-time 2022-08-29
+Validating log files for trail arn:aws:cloudtrail:ap-south-1::trail/management-events between 2022-08-29T00:00:00Z and 2022-08-29T06:26:38Z
+
+Results requested for 2022-08-29T00:00:00Z to 2022-08-29T06:26:38Z
+No digests found  
+```
+
+This is because we have not enabled log file validation for the cloud trail.
+
+## Enable Log file validation
+We can enable log file validation, by editing the cloud trail.
+![Enable log file validation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1s7p6e0r18dpgjs11as3.png)
+ 
+ 
+## Digest
+As the log file validation is enabled, we should see a new folder CloudTrail-Digest in S3.
+![CloudTrail-Digest folder in S3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ixq3invj5kug2y1m5hfj.png)
+ 
+And digest files should get added each hour.
+![Digest file in S3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/36mc4wdwlsucq7a12n26.png)
+ 
+
+## Validate
+As we enabled Log file validation, we can now check the integirty of the logs.
+```
+$ aws cloudtrail validate-logs --trail-arn arn:aws:cloudtrail:ap-south-1::trail/management-events --start-time 2022-08-29
+Validating log files for trail arn:aws:cloudtrail:ap-south-1::trail/management-events between 2022-08-29T00:00:00Z and 2022-08-29T07:00:20Z
+
+Results requested for 2022-08-29T00:00:00Z to 2022-08-29T07:00:20Z
+Results found for 2022-08-29T05:55:08Z to 2022-08-29T06:55:08Z:
+
+1/1 digest files valid
+```
+Though we deleted a log file earlier, it shows the digest is valid, because we did not enable log file validation then.
+
+After an hour, we should see two digest files.
+![Digest files](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vsot6bvy7kzsq632poii.png)
+
+The log file validation seems good for now.
+```
+$ aws cloudtrail validate-logs --trail-arn arn:aws:cloudtrail:ap-south-1::trail/management-events --start-time 2022-08-29
+Validating log files for trail arn:aws:cloudtrail:ap-south-1::trail/management-events between 2022-08-29T00:00:00Z and 2022-08-29T08:17:57Z
+
+Results requested for 2022-08-29T00:00:00Z to 2022-08-29T08:17:57Z
+Results found for 2022-08-29T05:55:08Z to 2022-08-29T07:55:08Z:
+
+2/2 digest files valid
+10/10 log files valid
+```
+
+## Delete log file with validation check
+We can try deleting  log file that was created after enabling log file validation.
+![Delete another log file](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rmkawn7l1s5hw91o8vmb.png)
+
+As expected the log file validations fails for one file. However the digests are still valid.
+```
+$ aws cloudtrail validate-logs --trail-arn arn:aws:cloudtrail:ap-south-1::trail/management-events --start-time 2022-08-29
+Validating log files for trail arn:aws:cloudtrail:ap-south-1::trail/management-events between 2022-08-29T00:00:00Z and 2022-08-29T08:22:42Z
+
+Log file        s3://aws-cloudtrail-logs--4a8dcb98/AWSLogs//CloudTrail/ap-south-1/2022/08/29/_CloudTrail_ap-south-1_20220829T0755Z_7rDSVFC6Icgi9Z8V.json.gz     INVALID: not found
+
+Results requested for 2022-08-29T00:00:00Z to 2022-08-29T08:22:42Z
+Results found for 2022-08-29T05:55:08Z to 2022-08-29T07:55:08Z:
+
+2/2 digest files valid
+9/10 log files valid, 1/10 log files INVALID
+```
+It also clearly says the validation failed because it can't find a file that we deleted.
+
+## Delete digest
+This time we can try deleting a digest file.
+![Delete digest](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vzzw970xszdwllgpqqdp.png)
+
+Hence digest validation should also fail.
+```
+$ aws cloudtrail validate-logs --trail-arn arn:aws:cloudtrail:ap-south-1::trail/management-events --start-time 2022-08-29
+Validating log files for trail arn:aws:cloudtrail:ap-south-1::trail/management-events between 2022-08-29T00:00:00Z and 2022-08-29T10:09:35Z
+
+Digest file     s3://aws-cloudtrail-logs--4a8dcb98/AWSLogs//CloudTrail-Digest/ap-south-1/2022/08/29/_CloudTrail-Digest_ap-south-1_management-events_ap-south-1_20220829T085508Z.json.gz INVALID: not found
+
+Log file        s3://aws-cloudtrail-logs--4a8dcb98/AWSLogs//CloudTrail/ap-south-1/2022/08/29/_CloudTrail_ap-south-1_20220829T0755Z_7rDSVFC6Icgi9Z8V.json.gz     INVALID: not found
+
+Results requested for 2022-08-29T00:00:00Z to 2022-08-29T10:09:35Z
+Results found for 2022-08-29T05:55:08Z to 2022-08-29T09:55:08Z:
+
+3/4 digest files valid, 1/4 digest files INVALID
+20/21 log files valid, 1/21 log files INVALID
+```
+
+Note that we can enable versioning on S3 buckets to restore files.
+ 
+## Summary
+So we saw how the log file validation feature in CloudTrail helps us find if there were any manual modifications to the log files or digest files. Thank you for reading !!!
diff --git a/_posts/2022-10-08-gcp-anthos-cluster-on-aws.md b/_posts/2022-10-08-gcp-anthos-cluster-on-aws.md
index c546602..27799ad 100644
--- a/_posts/2022-10-08-gcp-anthos-cluster-on-aws.md
+++ b/_posts/2022-10-08-gcp-anthos-cluster-on-aws.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/gcp-anthos-cluster-on-aws-19p8
-categories: anthos, aws, gcp, kubernetes
-date: 2022-10-08
-tags: anthos, aws, gcp, kubernetes
-title: GCP Anthos Cluster on AWS
+canonical_url: "https://dev.to/aws-builders/gcp-anthos-cluster-on-aws-19p8"
+categories: "anthos, aws, gcp, kubernetes"
+date: "2022-10-08"
+tags: "anthos, aws, gcp, kubernetes"
+title: "GCP Anthos Cluster on AWS"
 ---
 
 This post first appeared on [dev.to](https://dev.to/aws-builders/gcp-anthos-cluster-on-aws-19p8)
diff --git a/_posts/2022-10-08/2022-10-08-gcp-anthos-cluster-on-aws.md b/_posts/2022-10-08/2022-10-08-gcp-anthos-cluster-on-aws.md
new file mode 100644
index 0000000..c7207cf
--- /dev/null
+++ b/_posts/2022-10-08/2022-10-08-gcp-anthos-cluster-on-aws.md
@@ -0,0 +1,418 @@
+---
+canonical_url: "https://dev.to/aws-builders/gcp-anthos-cluster-on-aws-19p8"
+date: "2022-10-08"
+title: "GCP Anthos Cluster on AWS"
+tags: "anthos, aws, gcp, kubernetes"
+categories: "anthos, aws, gcp, kubernetes"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/gcp-anthos-cluster-on-aws-19p8)**
+
+Anthos is a software offering from Google, using which we can build kubernetes clusters on nodes both on and off cloud. In this post, we would launch an EC2 instance in AWS and build a single node kubernetes cluster on it with Anthos.
+
+Let's get started. 
+
+## AWS cloud shell
+Login to the AWS console, and access the cloud shell from the top bar. You should see a prompt like below.
+```
+[cloudshell-user@ip-10-0-89-211 ~]$ 
+```
+
+## EC2
+Create an EC2 instance with other relevant components with these commands. Please refer to this [post](https://dev.to/aws-builders/aws-ec2-launch-instances-the-hard-way-with-cli-2ga3) for explanation on what each of these commands does.
+```
+$ mkdir ~/.aws
+
+$ cat ~/.aws/config < anthosKeyPair.pem
+$ mkdir .ssh
+$ mv anthosKeyPair.pem ~/.ssh/
+
+$ aws ec2 run-instances --image-id ami-0bba4b75264ecbfbd --count 1 --instance-type t2.large --key-name anthosKeyPair --security-group-ids $ANTHOS_SG_ID --subnet-id $ANTHOS_SUBNET_ID --associate-public-ip-address --block-device-mappings 'DeviceName=/dev/sda1,Ebs={VolumeSize=200}'
+```
+
+The instance is now created. We can give it a  name.
+```
+$ ANTHOS_INSTANCE_ID=$(aws ec2 describe-instances | jq -r '.Reservations[] | .Instances[] | select(.SubnetId==env.ANTHOS_SUBNET_ID) | .InstanceId')
+
+$ aws ec2 create-tags --resources  $ANTHOS_INSTANCE_ID --tags Key=Name,Value=anthos-node
+```
+
+## SSH
+In order to SSH from the cloud shell to the Anthos instance, we first need to obtain the public IP of the cloudshell and add a rule in the security group to allow SSH access from that.
+```
+$ export MY_PUBLIC_IP=$(curl ifconfig.me --silent)
+$ aws ec2 authorize-security-group-ingress --group-id $ANTHOS_SG_ID --protocol tcp --port 22 --cidr $MY_PUBLIC_IP/32
+```
+
+Copy the SSH key pair to the instance as it's needed in the Anthos cluster config.
+```
+$ export ANTHOS_INSTANCE_IP=$(aws ec2 describe-instances --filter Name=tag:Name,Values=anthos-node --query "Reservations[*].Instances[*].PublicIpAddress" --output text)
+
+$ scp -i ~/.ssh/anthosKeyPair.pem ~/.ssh/anthosKeyPair.pem ubuntu@$ANTHOS_INSTANCE_IP:~/.ssh/anthosKeyPair.pem
+```
+
+SSH into the instance.
+```
+$ ssh -i ~/.ssh/anthosKeyPair.pem ubuntu@$ANTHOS_INSTANCE_IP
+```
+
+## Install gcloud
+Install the gcloud cli on the Anthos instance.
+```
+sudo apt-get install apt-transport-https ca-certificates gnupg -y
+
+echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list
+
+curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
+
+sudo apt-get update -y && sudo apt-get install google-cloud-cli -y
+```
+
+## Login  to gcloud
+This step is optional. Login to the gcloud cli with your account if you are going to create a service account yourself from the CLI.
+```
+gcloud auth login
+```
+
+## Authenticaion
+Create a [service account](https://cloud.google.com/iam/docs/creating-managing-service-accounts) in GCP and give it the following roles.
+```
+roles/gkehub.connect
+roles/gkehub.admin
+roles/logging.logWriter
+roles/monitoring.metricWriter
+roles/monitoring.dashboardEditor
+roles/stackdriver.resourceMetadata.writer
+roles/opsconfigmonitoring.resourceMetadata.writer
+```
+
+If you are using the gcloud CLI, you  can create a service account and bind the roles with  the following command.
+```
+gcloud iam service-accounts create 
+
+gcloud projects add-iam-policy-binding "$PROJECT_ID" \
+  --member= \
+  --role= \
+  --no-user-output-enabled
+```
+
+Create a key for the service account and copy it's credentials.
+```
+gcloud iam service-accounts keys create  \
+    --iam-account=${service-account-name}@${PROJECT_ID}.iam.gserviceaccount.com
+```
+
+Setup the credentials in the instance, activate the service account and set the project id.
+```
+$ mkdir .gcloud
+$ export PROJECT_ID=
+
+$ cat > .gcloud/keyfile.json << EOF 
+{
+   "type": "service_account",
+   "project_id": $PROJECT_ID,
+   "private_key_id": "",
+   "private_key": ,
+   "client_email": ,
+   "client_id": ,
+   "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+   "token_uri": "https://oauth2.googleapis.com/token",
+   "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+   "client_x509_cert_url": 
+}
+EOF
+
+$ gcloud auth activate-service-account  --key-file .gcloud/keyfile.json
+
+$ export GOOGLE_APPLICATION_CREDENTIALS='/home/ubuntu/.gcloud/keyfile.json'
+
+$ gloud config set project $PROJECT_ID
+```
+
+## APIs
+Enable the services.
+```
+gcloud services enable \
+    anthos.googleapis.com \
+    anthosaudit.googleapis.com \
+    anthosgke.googleapis.com \
+    cloudresourcemanager.googleapis.com \
+    container.googleapis.com \
+    gkeconnect.googleapis.com \
+    gkehub.googleapis.com \
+    serviceusage.googleapis.com \
+    stackdriver.googleapis.com \
+    monitoring.googleapis.com \
+    logging.googleapis.com \
+    opsconfigmonitoring.googleapis.com
+```
+
+## Other tools
+Install kubectl, bmctl and docker.
+```
+curl -LO "https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl"
+
+chmod +x kubectl
+sudo mv kubectl /usr/local/sbin/
+
+gsutil cp gs://anthos-baremetal-release/bmctl/1.13.0/linux-amd64/bmctl .
+chmod a+x bmctl
+sudo mv bmctl /usr/local/sbin/
+
+curl -O https://download.docker.com/linux/static/stable/x86_64/docker-20.10.9.tgz
+tar xzvf docker-20.10.9.tgz
+sudo cp docker/* /usr/bin/
+rm -rf docker*
+sudo groupadd docker
+sudo usermod -aG docker $USER
+sudo dockerd&
+newgrp docker
+```
+
+## VxLAN
+Set up vxlan with the IP 10.200.2/24.
+```
+sudo ip link add vxlan0 type vxlan id 42 dev eth0 dstport 0
+sudo ip addr add 10.200.0.2/24 dev vxlan0
+sudo ip link set up dev vxlan0
+```
+
+## Cluster config
+Create the Anthos cluster config with bmctl.
+```
+export CLUSTER_ID=anthos-aws
+bmctl create config -c $CLUSTER_ID
+```
+
+Change the config.
+```
+$ cat > bmctl-workspace/${CLUSTER_ID}/${CLUSTER_ID}.yaml << EOF
+---
+gcrKeyPath: /home/ubuntu/.gcloud/keyfile.json
+sshPrivateKeyPath: /home/ubuntu/.ssh/anthosKeyPair.pem
+gkeConnectAgentServiceAccountKeyPath: /home/ubuntu/.gcloud/keyfile.json
+gkeConnectRegisterServiceAccountKeyPath: /home/ubuntu/.gcloud/keyfile.json
+cloudOperationsServiceAccountKeyPath: /home/ubuntu/.gcloud/keyfile.json
+---
+apiVersion: v1
+kind: Namespace
+metadata:
+  name: cluster-${CLUSTER_ID}
+---
+apiVersion: baremetal.cluster.gke.io/v1
+kind: Cluster
+metadata:
+  name: ${CLUSTER_ID}
+  namespace: cluster-${CLUSTER_ID}
+spec:
+  profile: edge
+  type: standalone
+  anthosBareMetalVersion: 1.13.0
+  gkeConnect:
+    projectID: $PROJECT_ID
+  controlPlane:
+    nodePoolSpec:
+      clusterName: ${CLUSTER_ID}
+      nodes:
+      - address: 10.200.0.2
+  clusterNetwork:
+    pods:
+      cidrBlocks:
+      - 192.168.0.0/16
+    services:
+      cidrBlocks:
+      - 172.26.232.0/24
+  loadBalancer:
+    mode: bundled
+    ports:
+      controlPlaneLBPort: 443
+    vips:
+      controlPlaneVIP: 10.200.0.49
+      ingressVIP: 10.200.0.50
+    addressPools:
+    - name: pool1
+      addresses:
+      - 10.200.0.50-10.200.0.70
+  clusterOperations:
+    location: asia-south1
+    projectID: $PROJECT_ID
+  storage:
+    lvpNodeMounts:
+      path: /mnt/localpv-disk
+      storageClassName: node-disk
+    lvpShare:
+      numPVUnderSharedPath: 5
+      path: /mnt/localpv-share
+      storageClassName: local-shared
+  nodeConfig:
+    podDensity:
+      maxPodsPerNode: 64
+  nodeAccess:
+    loginUser: ubuntu
+EOF
+```
+
+## Cluster creation
+Create the cluster.
+```
+$ bmctl create cluster -c ${CLUSTER_ID}
+```
+
+The above command should take some time and once it's successful, the kubernetes cluster should be ready.
+```
+$ export KUBECONFIG=bmctl-workspace/${CLUSTER_ID}/${CLUSTER_ID}-kubeconfig
+
+$ kubectl get nodes
+NAME          STATUS   ROLES                  AGE    VERSION
+ip-10-0-0-9   Ready    control-plane,master   153m   v1.24.2-gke.1900
+```
+The cluster should appear on the Anthos clusters plage on GCP.
+
+## Run workloads
+Test with a sample nginx deployment.
+```
+$ cat > deploy.yaml << EOF
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: nginx
+spec:
+  template:
+    metadata:
+      labels:
+        app: nginx
+    spec:
+      containers:
+      - name: nginx
+        image: nginx
+  selector:
+    matchLabels:
+      app: nginx
+EOF
+
+$ kubectl create -f deploy.yaml
+
+$ kubectl get deploy
+NAME    READY   UP-TO-DATE   AVAILABLE   AGE
+nginx   1/1     1            1           65s
+
+$ kubectl get pod
+NAME                    READY   STATUS    RESTARTS   AGE
+nginx-8f458dc5b-jvrbb   1/1     Running   0          68s
+```    
+
+Expose this deployment with a service.
+```
+$ cat > svc.yaml <        8080/TCP   106s
+
+$ kubectl get ep nginx
+NAME    ENDPOINTS         AGE
+nginx   192.168.0.48:80   2m3s
+```
+
+Try to curl the service IP  and see if it works.
+```
+$ curl 172.26.232.21:8080
+
+
+
+Welcome to nginx!
+
+
+
+
    Welcome to nginx!
    
+
    If you see this page, the nginx web server is successfully installed and
+working. Further configuration is required.
    
+
+
    For online documentation and support please refer to
+nginx.org.
    
+Commercial support is available at
+nginx.com.
    
+
+
    Thank you for using nginx.
    
+
+
+```
+
+## Reset the cluster
+Finally reset the cluster when you no longer need it.
+```
+bmctl reset cluster -c ${CLUSTER_ID}
+```
+ 
+Thus, we have launched a single node kubernetes cluster with Anthos on AWS, and tested it by running an nginx service.
+
+Thanks for reading!!!
diff --git a/_posts/2022-11-20-subscribe-to-aws-iot-on-influxdb.md b/_posts/2022-11-20-subscribe-to-aws-iot-on-influxdb.md
index 0827056..a806fb3 100644
--- a/_posts/2022-11-20-subscribe-to-aws-iot-on-influxdb.md
+++ b/_posts/2022-11-20-subscribe-to-aws-iot-on-influxdb.md
@@ -1,11 +1,10 @@
 ---
-canonical_url: https://dev.to/aws-builders/send-messages-from-aws-iot-to-influxdb-via-native-mqtt-subscription-3366
-categories: aws, influxdb, iot, mqtt
-cover_image: 
-https://images.unsplash.com/photo-1545259741-2ea3ebf61fa3?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1770&q=80
-date: 2022-11-20
-tags: aws, influxdb, iot, mqtt
-title: Subscribe to AWS IoT topic on InfluxDB
+canonical_url: "https://dev.to/aws-builders/send-messages-from-aws-iot-to-influxdb-via-native-mqtt-subscription-3366"
+categories: "aws, influxdb, iot, mqtt"
+cover_image: "https://images.unsplash.com/photo-1545259741-2ea3ebf61fa3?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=1770&q=80"
+date: "2022-11-20"
+tags: "aws, influxdb, iot, mqtt"
+title: "Subscribe to AWS IoT topic on InfluxDB"
 ---
 
 This post first appeared on [dev.to](https://dev.to/aws-builders/harperdb-on-eks-1bcb)
diff --git a/_posts/2022-11-20/2022-11-20-subscribe-to-aws-iot-topic-on-influxdb.md b/_posts/2022-11-20/2022-11-20-subscribe-to-aws-iot-topic-on-influxdb.md
new file mode 100644
index 0000000..f483d39
--- /dev/null
+++ b/_posts/2022-11-20/2022-11-20-subscribe-to-aws-iot-topic-on-influxdb.md
@@ -0,0 +1,84 @@
+---
+canonical_url: "https://dev.to/aws-builders/send-messages-from-aws-iot-to-influxdb-via-native-mqtt-subscription-3366"
+date: "2022-11-20"
+title: "Subscribe to AWS IoT topic on InfluxDB"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fimages.unsplash.com%2Fphoto-1545259741-2ea3ebf61fa3%3Fixlib%3Drb-4.0.3%26ixid%3DMnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8%26auto%3Dformat%26fit%3Dcrop%26w%3D1770%26q%3D80"
+tags: "aws, influxdb, iot, mqtt"
+categories: "aws, influxdb, iot, mqtt"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/send-messages-from-aws-iot-to-influxdb-via-native-mqtt-subscription-3366)**
+
+Hey :wave:, here is my first post after the community builder renewal :satisfied:. In this post, we would send some MQTT messages in line protocol format to AWS IoT, which would then get ingested to InfluxDB via a native MQTT subscription.
+
+InfluxDB usually relies on systems such as Telegraf or some client programs to send metrics to it, however here with the native subscription, we don't need the intermediate system. 
+
+As a prerequisite, follow this [post](https://dev.to/aws-builders/aws-iot-pubsub-over-mqtt-1oig) to understand how to publish messages from a Python based MQTT client to the MQTT endpoint in AWS.
+
+We would be making change to the publisher code, as InfluxDB looks for messages in a different format called as the line protocol.
+
+Refer to this [link](https://docs.influxdata.com/influxdb/cloud/reference/syntax/line-protocol/#:~:text=InfluxDB%20uses%20line%20protocol%20to,timestamp%20of%20a%20data%20point.&text=Lines%20separated%20by%20the%20newline,a%20single%20point%20in%20InfluxDB.) for more information on the lineprotocol.
+
+A sample message in our case would be like *temp_sensor,id=client-d36a601f-0b0e-4ba2-9d54-45feec236deb,room=lobby temp=30 1668930716251915510*  
+
+Where temp_sensor is the measurement name, the tags are id and room, the field is temp. Note the timestamp above is in unix timestamp format in nanoseconds. Note that the tags & timestamp are optional in line protocol, and you can have more than one filed. The timestamp will default to the current time if not provided.
+
+Our publisher code would look like below.
+```
+nc:~/environment/iot $ cat publish-line-protocol.py 
+# import vars from connect.py
+from connect import args, client_id, mqtt_connection
+
+from awscrt import mqtt
+import json, random, time
+
+while True:
+    rooms = [ 'bed-room', 'hall', 'kitchen', 'living-room', 'lobby' ]
+    room = random.choice(rooms)
+    
+    # set random temperature between 24 and 32 (this is celsius range)
+    temp = random.randrange(24, 32)
+    
+    # set timestamp in  nanoseconds
+    now = time.time_ns()
+    
+    # form the message
+    message = f'temp_sensor,id={client_id},room={room} temp={temp} {now}'
+    
+    # publish the  message
+    mqtt_connection.publish(
+        topic=args.topic,
+        payload= message,
+        qos=mqtt.QoS.AT_LEAST_ONCE
+    )
+    print(f'Message published: {message}')
+    time.sleep(1)
+```
+
+Let's run the code.
+```
+nc:~/environment/iot $ python publish-line-protocol.py --ep $IOT_DEV_EP --pubcert pub-cert.pem --pvtkey pvt-key.pem --cacert ca-cert.pem --topic temperature
+client-7219bca1-8c06-41c8-b69c-783c3ee85a41 is connected!
+Message published: temp_sensor,id=client-7219bca1-8c06-41c8-b69c-783c3ee85a41,room=hall temp=29 1668932805475181112
+Message published: temp_sensor,id=client-7219bca1-8c06-41c8-b69c-783c3ee85a41,room=hall temp=24 1668932806476308869
+Message published: temp_sensor,id=client-7219bca1-8c06-41c8-b69c-783c3ee85a41,room=lobby temp=24 1668932807477465026
+```
+
+Press Ctrl C when you want to stop the code.
+
+Now, let's launch InfluxDB, you may get a cloud subscription from the AWS [marketplace](https://aws.amazon.com/marketplace/pp/prodview-4e7raoxoxsl4y?ref_=unifiedsearch), or directly from the [influxdata](https://cloud2.influxdata.com/) portal.
+
+On InfluxDB, Goto Load Data > Native Subscriptions and create a new suscription. Set the subscription name as *temp_sensor*. Enter some description like *Messages from AWS MQTT*. Go to Security details > certificate and copy/paste the ca certificate, private key and public certificate downloaded from AWS while creating the thing in  IoT. Set the topic as *temperature* because that's where we were publishing the messages to. And then set the write destination  to a bucket, which can be created if it doesn't exist yet.
+![Create bucket for subscription in InfluxDB](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s1bdzfhaeh1kfov6asiw.png)
+
+That's it, save  the subscription.
+
+We can now visit the data explorer, and see the graph for the   data sent. If we hover over the graph, we should be able to see the values for each of the tags(rooms) that have different colors.
+![Data explorer on InfluxDB](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ejpz8urw9lgitw17rdpt.png)
+
+This way we can send MQTT metrics to InfluxDB with subscriptions and visualize those. A couple of things before finishing, you may stop the subscription, when you don't want to keep it running,
+![Stop subscription link in InfluxDB](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ju4u5524akcfd8amo4g3.png)
+
+and there is a notifications link on the subscription that should help you with logs for troubleshooting errors.
+![Notifications link in InfluxDB subscription](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yu1lclrg0z52sk5y4c1l.png)
+
+Thank you for reading !!!
diff --git a/_posts/2023-01-09-harperdb-on-eks.md b/_posts/2023-01-09-harperdb-on-eks.md
index 574557c..33c3bf9 100644
--- a/_posts/2023-01-09-harperdb-on-eks.md
+++ b/_posts/2023-01-09-harperdb-on-eks.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/harperdb-on-eks-1bcb
-categories: aws, eks, harperdb, kubernetes
-date: 2023-01-09
-tags: aws, eks, harperdb, kubernetes
-title: HarperDB on EKS
+canonical_url: "https://dev.to/aws-builders/harperdb-on-eks-1bcb"
+categories: "aws, eks, harperdb, kubernetes"
+date: "2023-01-09"
+tags: "aws, eks, harperdb, kubernetes"
+title: "HarperDB on EKS"
 ---
 
 This post first appeared on [dev.to](https://dev.to/aws-builders/harperdb-on-eks-1bcb)
diff --git a/_posts/2023-01-09/2023-01-09-harperdb-on-eks.md b/_posts/2023-01-09/2023-01-09-harperdb-on-eks.md
new file mode 100644
index 0000000..67f224c
--- /dev/null
+++ b/_posts/2023-01-09/2023-01-09-harperdb-on-eks.md
@@ -0,0 +1,404 @@
+---
+canonical_url: "https://dev.to/aws-builders/harperdb-on-eks-1bcb"
+date: "2023-01-09"
+title: "HarperDB on EKS"
+tags: "security, webdev, showdev"
+categories: "security, webdev, showdev"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/harperdb-on-eks-1bcb)**
+
+Hi there :wave:, let's see how to deploy HarperDB on EKS, and then test it with an API call from CURL. You can get the Kubernetes manifests that we make in this post from this [link](https://github.com/networkandcode/harperdb-deployments/tree/main/kubernetes-manifests).
+
+Hope you are already familiar with topics such as [Deployment](https://youtu.be/udSPJXMU9L4?t=1094), [Load Balancer](https://www.youtube.com/watch?v=7o6koGCsoSc) service, [Secret](https://www.youtube.com/watch?v=iTkz1bIacHM) and [Persistent volume claim](https://www.youtube.com/watch?v=vqk0Ccd7sio)
+
+Ensure you have the required IAM permissions, have installed the aws, eksctl & kubectl cli tools, and have setup the config and credentials.
+
+For me the config is as follows.
+```
+$ cat ~/.aws/config
+[default]
+region=us-east-1
+```
+
+## Cluster
+We can now create an EKS cluster with eksctl. You may see this [video](https://www.youtube.com/watch?v=rJQb_whepEY) for cluster creation from the CLI.
+```
+$ eksctl create cluster --name eks-cluster --zones=us-east-1a,us-east-1b
+```
+
+This has taken around 20 mins for me. Once it's done we can update the kubeconfig.
+```
+$ aws eks update-kubeconfig --name eks-cluster
+```
+
+## Docker hub
+We can visit the docker [hub](https://hub.docker.com/r/harperdb/harperdb) page of harperdb to get an idea on the ports, environment variables, volume path etc.
+
+They have given an example docker command as below.
+```
+docker run -d \
+  -v /host/directory:/opt/harperdb/hdb \
+  -e HDB_ADMIN_USERNAME=HDB_ADMIN \
+  -e HDB_ADMIN_PASSWORD=password \
+  -p 9925:9925 \
+  harperdb/harperdb
+```
+
+This tells us the volume mount path in the container is /opt/harperdb/hdb, there are 2 environment variables for username and password, and the container port is 9925. Finally the image is harperdb/harperdb.
+
+We now have enough info to start writing our Kubernetes manifests.
+
+## Kubernetes manifests
+I am going to create a directory by name harperdb where I would keep all the manifests.
+```
+$ mkdir harperdb    
+$ cd harperdb
+```
+
+Let's begin with the environment variables, we can write both username and password in a secret object.
+```
+$ cat < secret.yaml 
+---
+apiVersion: v1
+kind: Secret
+metadata:
+  name: harperdb
+  namespace: harperdb
+stringData:
+  HDB_ADMIN_USERNAME: admin
+  HDB_ADMIN_PASSWORD: password12345
+...
+EOF
+```
+
+We can now go with a persistent volume claim, that can dynamically create an EBS volume of size 5Gi in AWS.
+```
+$ cat < pvc.yaml 
+---
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: harperdb
+  namespace: harperdb
+spec:
+  accessModes:
+  - ReadWriteOnce
+  resources:
+    requests:
+      storage: 5Gi
+...
+EOF
+```
+
+Then comes the deployment manifest, where we can define the container image, refer to the secret for the env vars, and pvc for the volume. Note that the volume mount path matches with that in the docker command.
+```
+$ cat < deploy.yaml 
+---
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: harperdb
+  namespace: harperdb
+spec:
+  selector:
+    matchLabels:
+      app: harperdb
+  template:
+    metadata:
+      labels:
+        app: harperdb
+    spec:
+      containers:
+      - name: harperdb
+        image: harperdb/harperdb
+        envFrom:
+        - secretRef:
+            name: harperdb
+        volumeMounts:
+        - name: data
+          mountPath: /opt/harperdb/hdb
+      volumes:
+      - name: data
+        persistentVolumeClaim:
+          claimName: harperdb
+...
+EOF
+```
+
+Finally, we have to expose the deployment with a service, we know from the docker command that the container port is 9925.
+```
+$ cat < svc.yaml
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: harperdb
+  namespace: harperdb
+spec:
+  selector:
+    app: harperdb
+  type: LoadBalancer
+  ports:
+  - name: http
+    port: 8080
+    targetPort: 9925
+...
+EOF
+```
+Note that we have used 8080 as the service port.
+
+## Workloads
+
+Create a namespace by name harperdb, where we can create our objects.
+```
+$ kubectl create ns harperdb
+namespace/harperdb created
+```
+
+We are good to create objects with the 4 manifests.
+```
+$ ls
+deploy.yaml	pvc.yaml	secret.yaml	svc.yaml
+
+$ kubectl create -f .
+deployment.apps/harperdb created
+persistentvolumeclaim/harperdb created
+secret/harperdb created
+service/harperdb created
+```
+
+## Fix PVC
+The pvc should be in pending status.
+```
+$ kubectl get pvc
+NAME       STATUS    VOLUME   CAPACITY   ACCESS MODES   STORAGECLASS   AGE
+harperdb   Pending                                      gp2            7m3s
+```
+
+Please follow this [link](https://aws.amazon.com/premiumsupport/knowledge-center/eks-persistent-storage/) to add IAM role in AWS cloud, and ebs csi objects on the cluster. This should fix the PVC issue.
+
+Once done, the pvc should be bound to a persistent volume(pv).
+```
+$ kubectl get pvc -n harperdb    
+NAME       STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS   AGE
+harperdb   Bound    pvc-7c83e38c-b00a-4194-8c67-ba5c9c1118e7   5Gi        RWO            gp2            9s
+```
+
+And the pv should be mapped to an EBS volume.
+```
+$ kubectl get pv 
+NAME                                       CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS   CLAIM                  STORAGECLASS   REASON   AGE
+pvc-7c83e38c-b00a-4194-8c67-ba5c9c1118e7   5Gi        RWO            Delete           Bound    harperdb/harperdb      gp2                     64s
+
+$ kubectl describe pv pvc-7c83e38c-b00a-4194-8c67-ba5c9c1118e7 | grep VolumeID
+    VolumeID:   vol-0bbca736346f02aa1
+```
+
+Note that a persistent volume is a cluster level object and not bound to a namespace. We can check the volume details from the aws cli.
+```
+$ aws ec2 describe-volumes --volume-ids vol-0bbca736346f02aa1 --query "Volumes[0].Size"      
+5
+
+$ aws ec2 describe-volumes --volume-ids vol-0bbca736346f02aa1 --query "Volumes[0].Tags"
+[
+    {
+        "Key": "ebs.csi.aws.com/cluster",
+        "Value": "true"
+    },
+    {
+        "Key": "CSIVolumeName",
+        "Value": "pvc-7c83e38c-b00a-4194-8c67-ba5c9c1118e7"
+    },
+    {
+        "Key": "kubernetes.io/created-for/pv/name",
+        "Value": "pvc-7c83e38c-b00a-4194-8c67-ba5c9c1118e7"
+    },
+    {
+        "Key": "kubernetes.io/created-for/pvc/namespace",
+        "Value": "harperdb"
+    },
+    {
+        "Key": "kubernetes.io/created-for/pvc/name",
+        "Value": "harperdb"
+    }
+]
+```
+
+## Volume permission fix
+
+So the pvc seems good. Let's check our application status.
+```
+$ kubectl get po -n harperdb
+NAME                        READY   STATUS             RESTARTS      AGE
+harperdb-79694c8b75-6ckn7   0/1     CrashLoopBackOff   4 (80s ago)   3m25s
+```
+
+The application was crashing, but the volume was getting mounted, and the env vars were fine too. I tried commenting out volumeMounts and volume and updated the deployment.
+```
+$ cat deploy.yaml | grep #
+        #volumeMounts:
+        #- name: data
+          #mountPath: /opt/harperdb/hdb
+      #volumes:
+      #- name: data
+        #persistentVolumeClaim:
+          #claimName: harperdb
+
+$ kubectl apply -f deploy.yaml
+```
+
+The pod was running, and I checked the permissions of the directory where we need to mount the volume. And subsequently the id of the group.
+```
+$ kubectl exec -it deploy/harperdb -n harperdb -- bash
+
+ubuntu@harperdb-858cc7967d-5jcqm:~$ ls -l /opt/harperdb
+total 0
+drwxr-xr-x 11 ubuntu ubuntu 155 Jan  9 06:59 hdb
+
+ubuntu@harperdb-858cc7967d-5jcqm:~$ id
+uid=1000(ubuntu) gid=1000(ubuntu) groups=1000(ubuntu)
+
+ubuntu@harperdb-858cc7967d-5jcqm:~$ exit
+```
+
+So the group id of the running user is 1000, hence we can set this as the group owner for the volume directory with the fsGroup option. If we don't specify this then the mountPath would by default be set with root(user) and root(group) as the owner for the directory and the running user ubuntu wouldn't have permissions on the mountPath to create any new files. This [video](https://www.youtube.com/watch?v=PzzFsvadZdY) has information about fsGroup.
+
+We have to change the deployment as follows. We have added the security context with the fsGroup.
+```
+$ cat deploy.yaml 
+---
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: harperdb
+  namespace: harperdb
+spec:
+  selector:
+    matchLabels:
+      app: harperdb
+  template:
+    metadata:
+      labels:
+        app: harperdb
+    spec:
+      securityContext:
+        fsGroup: 1000
+      containers:
+      - name: harperdb
+        image: harperdb/harperdb
+        envFrom:
+        - secretRef:
+            name: harperdb
+        volumeMounts:
+        - name: data
+          mountPath: /opt/harperdb/hdb
+      volumes:
+      - name: data
+        persistentVolumeClaim:
+          claimName: harperdb
+...
+```
+
+Alternately, we could also set mountPath to just /opt/harperdb, where we wouldn't have to set the securityContext. But I thought this is a good use case to know about the fsGroup.
+
+Update the deployment.
+```
+$ kubectl apply -f deploy.yaml
+```
+
+Check the workloads.
+```
+$ kubectl get all -n harperdb
+NAME                           READY   STATUS    RESTARTS   AGE
+pod/harperdb-cc4f49dfc-m7d5p   1/1     Running   0          55s
+
+NAME               TYPE           CLUSTER-IP     EXTERNAL-IP                                                              PORT(S)          AGE
+service/harperdb   LoadBalancer   10.100.54.78   a0ba701c9c5a4463bb636551c79b4158-169592876.us-east-1.elb.amazonaws.com   8080:31819/TCP   55s
+
+NAME                       READY   UP-TO-DATE   AVAILABLE   AGE
+deployment.apps/harperdb   1/1     1            1           57s
+
+NAME                                 DESIRED   CURRENT   READY   AGE
+replicaset.apps/harperdb-cc4f49dfc   1         1         1       57s
+```
+
+## API call
+
+Send a CURL command to test schema creation. The endpoint is from the external IP column in the service. You may check this [video](https://www.youtube.com/watch?v=25L8VvXgx8w) to know how to obtain the curl command for harperdb.
+```
+$ HDB_API_ENDPOINT=http://a0ba701c9c5a4463bb636551c79b4158-169592876.us-east-1.elb.amazonaws.com:8080
+
+$ curl --location --request POST ${HDB_API_ENDPOINT} \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data-raw '{
+    "operation": "create_schema",
+    "schema": "qa" 
+}'
+
+{"message":"schema 'qa' successfully created"}
+```
+
+All good, it's working... 
+
+## Persistence
+
+Test persistence by deleting the pod.
+```
+$ kubectl delete po -n harperdb -l app=harperdb
+pod "harperdb-cc4f49dfc-m7d5p" deleted
+```
+
+This should launch a new pod.
+```
+$ kubectl get po -n harperdb
+NAME                       READY   STATUS    RESTARTS   AGE
+harperdb-cc4f49dfc-c6vnc   1/1     Running   0          57s
+```
+
+We can try sending the same API call again.
+```
+$ curl --location --request POST ${HDB_API_ENDPOINT} \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data-raw '{
+    "operation": "create_schema",
+    "schema": "qa"
+}'
+
+{"error":"Schema 'qa' already exists"}
+```
+
+It's not creating a new schema, because the existing schema is restored from the attached volume. Hence, it's persistent.
+
+## Clean up
+
+Let's do the clean up...
+
+Delete all the objects that were created via manifests.
+```
+$ kubectl delete -f .
+deployment.apps "harperdb" deleted
+persistentvolumeclaim "harperdb" deleted
+secret "harperdb" deleted
+service "harperdb" deleted
+```
+
+Then delete the namespace.
+```
+$ kubectl delete ns harperdb
+namespace "harperdb" deleted
+```
+
+Delete the folder.
+```
+$ cd ..
+$ rm -rf harperdb
+```
+
+Finally delete the cluster.
+```
+$ eksctl delete cluster --name eks-cluster
+```
+
+That's it for the post, Thank you for reading !!!
diff --git a/_posts/2023-01-13-harperdb-with-helm-on-eks.md b/_posts/2023-01-13-harperdb-with-helm-on-eks.md
index cf3cace..46622e5 100644
--- a/_posts/2023-01-13-harperdb-with-helm-on-eks.md
+++ b/_posts/2023-01-13-harperdb-with-helm-on-eks.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9
-categories: aws, harperdb, helm, kubernetes
-date: 2023-01-13
-tags: aws, harperdb, helm, kubernetes
-title: HarperDB with Helm on EKS
+canonical_url: "https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9"
+categories: "aws, harperdb, helm, kubernetes"
+date: "2023-01-13"
+tags: "aws, harperdb, helm, kubernetes"
+title: "HarperDB with Helm on EKS"
 ---
 
 This post first appeared on [dev.to](https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9)
diff --git a/_posts/2023-01-13/2023-01-13-harperdb-with-helm-on-eks.md b/_posts/2023-01-13/2023-01-13-harperdb-with-helm-on-eks.md
new file mode 100644
index 0000000..a3fc0fe
--- /dev/null
+++ b/_posts/2023-01-13/2023-01-13-harperdb-with-helm-on-eks.md
@@ -0,0 +1,194 @@
+---
+canonical_url: "https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9"
+date: "2023-01-13"
+title: "HarperDB with Helm on EKS"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9)**
+
+This post builds on top of [this](https://dev.to/aws-builders/harperdb-on-eks-1bcb) where we discussed how to launch HarperDB on EKS with kubectl. Here, we would use those same manifests. But, we would go with the helm cli tool instead of kubectl for the deployment. Please check this [link](https://github.com/networkandcode/harperdb-deployments/tree/main/helm-charts/minimal/harperdb) for the final chart we make in this post.
+
+Get set go :fire:
+
+First, ensure [helm](https://dev.to/aws-builders/harperdb-on-eks-1bcb) is installed. If you want to use AWS cloud shell for this, please click on the shell icon on the top navigation bar of the cloud console, and execute the following.
+```
+$ curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3
+$ chmod 700 get_helm.sh
+$ sudo yum install openssl -y
+$ ./get_helm.sh
+```
+
+Ensure the kubeconfig is updated.
+```
+$ aws eks update-kubeconfig --name k8s-cluster-01
+```
+
+Pl. change the cluster name above with what you have created.
+
+Let's just create the namespace with kubectl, rest will be created with helm.
+```
+$ kubectl create ns harperdb
+namespace/harperdb created
+```
+
+Create a directory for the helm chart.
+```
+$ mkdir harperdb
+$ cd harperdb
+```
+
+Create a directory for templates in the chart.
+```
+$ mkdir templates
+```
+
+Copy the manifests from this [post](https://dev.to/aws-builders/harperdb-on-eks-1bcb) and keep it in the templates directory.
+```
+$ ls templates/
+deploy.yaml  pvc.yaml  secret.yaml  svc.yaml
+```
+
+Create the chart file where we would just keep the name and version, we are keeping to hold just the mandatory information, though we can add more.
+```
+$ cat < Chart.yaml 
+name: harperdb
+version: 1.0.0
+EOF
+```
+
+So what we created so far is our harperdb helm chart, we are staring with chart version 1.0.0.
+
+We can use this to install the release in a separate namespace. The namespace below means the helm release namespace and not the kubernetes namespace. And `.` refers to the chart directory which is the current directory.
+```
+$ helm install harperdb . -n harperdb
+NAME: harperdb
+LAST DEPLOYED: Fri Jan 13 09:52:08 2023
+NAMESPACE: harperdb
+STATUS: deployed
+REVISION: 1
+TEST SUITE: None
+```
+
+We are using the same name for both the helm and kubernetes namespaces. Note that the kubernetes namespace is mentioned in all of the manifests.
+```
+$ cat templates/deploy.yaml | grep namespace
+  namespace: harperdb
+```
+
+The helm release is deployed.
+```
+$ helm list -n harperdb
+NAME            NAMESPACE       REVISION        UPDATED                                 STATUS          CHART           APP VERSION
+harperdb        harperdb        1               2023-01-13 09:52:08.953758683 +0000 UTC deployed        harperdb-1.0.0
+```
+
+This has deployed the workloads in kubernetes, which we can check with kubectl.
+```
+$ kubectl get deploy,pvc,secret,svc -n harperdb
+NAME                       READY   UP-TO-DATE   AVAILABLE   AGE
+deployment.apps/harperdb   1/1     1            1           5m11s
+
+NAME                             STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS   AGE
+persistentvolumeclaim/harperdb   Bound    pvc-6ef558ee-86ad-460d-8379-c34a12aaf283   5Gi        RWO            gp2            5m11s
+
+NAME                                    TYPE                                  DATA   AGE
+secret/default-token-llbqm              kubernetes.io/service-account-token   3      3h50m
+secret/harperdb                         Opaque                                2      5m11s
+secret/sh.helm.release.v1.harperdb.v1   helm.sh/release.v1                    1      5m11s
+
+NAME               TYPE           CLUSTER-IP     EXTERNAL-IP                                                               PORT(S)          AGE
+service/harperdb   LoadBalancer   10.100.29.79   a86501cc7a7024fff92b7212cd844e45-1677629392.us-east-1.elb.amazonaws.com   8080:31549/TCP   5m11s
+```
+
+Let's test with an API call. The endpoint refers to the loadbalancer service.
+```
+$ HDB_API_ENDPOINT=a86501cc7a7024fff92b7212cd844e45-1677629392.us-east-1.elb.amazonaws.com:8080
+
+$ curl --location --request POST ${HDB_API_ENDPOINT} --header 'Content-Type: application/json' --header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' --data-raw '{
+    "operation": "create_schema",
+    "schema": "uat" 
+}'
+{"message":"schema 'uat' successfully created"}
+```
+Awesome, works !!!.
+
+Let's now revisit the helm chart and do a couple changes. For now, we haven't used any values file, which is commonly used with any helm chart. We need values when we would like to parameterize certain things in our manifests. For instance, let's say we want to parameterize the service port.
+```
+$ cat < values.yaml 
+servicePort: 8080
+EOF
+```
+
+We can the change the port section in the service template to refer to the value from values file.
+```
+$ cat templates/svc.yaml | grep port
+  ports:
+    port: {{ .Values.servicePort }}
+```
+
+Let's call this chart version 2.0.0 and upgrade our release.
+```
+$ cat Chart.yaml | grep version
+version: 2.0.0
+
+$ helm upgrade harperdb . -n harperdb
+Release "harperdb" has been upgraded. Happy Helming!
+NAME: harperdb
+LAST DEPLOYED: Fri Jan 13 12:35:53 2023
+NAMESPACE: harperdb
+STATUS: deployed
+REVISION: 2
+TEST SUITE: None
+```
+
+We can verify the service port.
+```
+$ kubectl get svc harperdb -n harperdb -o jsonpath={.spec.ports[0].port}
+8080
+```
+
+Let's do another change, this time we would try to refer to the release name and namespace as the name and namespace for each of the resources.
+```
+$ grep -ir .Release templates/
+templates/pvc.yaml:  name: {{ .Release.Name }}
+templates/pvc.yaml:  namespace: {{ .Release.Namespace }}
+templates/svc.yaml:  name: {{ .Release.Name }}
+templates/svc.yaml:  namespace: {{ .Release.Namespace }}
+templates/deploy.yaml:  name: {{ .Release.Name }}
+templates/deploy.yaml:  namespace: {{ .Release.Namespace }}
+templates/secret.yaml:  name: {{ .Release.Name }}
+templates/secret.yaml:  namespace: {{ .Release.Namespace }}
+```
+Note you have to modify each file, so that the grep output looks like above.
+
+Let's change the chart version to 3.0.0, and upgrade the release.
+```
+$ cat Chart.yaml 
+name: harperdb
+version: 3.0.0
+
+$ helm upgrade harperdb . -n harperdb
+```
+
+We can validate.
+```
+$ kubectl get deploy,pvc,secret,svc -n harperdb | awk '{print $1}'
+NAME
+deployment.apps/harperdb
+
+NAME
+persistentvolumeclaim/harperdb
+
+NAME
+secret/default-token-llbqm
+secret/harperdb
+secret/sh.helm.release.v1.harperdb.v1
+
+NAME
+service/harperdb
+```
+
+You could see the workload details on the EKS page. Here is a sample screenshot.
+![Harperdb on EKS console](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/c8z2wy1enafeytfx084g.png)
+
+
+All good, so we have reached the end of this post, we saw how to install harperdb with a minimal helm chart, tested it with an API call, and tweaked the helm chart a bit to understand some fundamentals of it. Thank you for reading !!!.
diff --git a/_posts/2023-01-17/2023-01-17-harperdb-with-anthos-on-gke.md b/_posts/2023-01-17/2023-01-17-harperdb-with-anthos-on-gke.md
new file mode 100644
index 0000000..94f5cd1
--- /dev/null
+++ b/_posts/2023-01-17/2023-01-17-harperdb-with-anthos-on-gke.md
@@ -0,0 +1,145 @@
+---
+canonical_url: "https://dev.to/networkandcode/harperdb-with-anthos-on-gke-2nef"
+date: "2023-01-17"
+title: "HarperDB with Anthos on GKE"
+tags: "softwaredevelopment, showdev"
+categories: "softwaredevelopment, showdev"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/harperdb-with-anthos-on-gke-2nef)**
+
+## Introduction
+[Anthos](https://cloud.google.com/anthos) is a service from Google cloud using which we can deploy and manage workloads using various options such as cloud run, GKE, self managed clusters, hybrid cloud clusters, edge based workloads and so on. In this post, we would focus on the autopilot GKE based cluster and deploy [HarperDB](https://harperdb.io) on it with a Helm chart. Please check this [link](https://github.com/networkandcode/harperdb-deployments/tree/main/helm-charts/minimal/harperdb) for the helm chart, we use in this post.
+
+Let's get started... 
+
+## Enable Anthos
+Search for Anthos on the Google cloud console and enable the Anthos API.
+![Search for Anthos](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/npyylvuegnn9szqyoouf.png)
+
+## GKE
+We would be going with an Anthos managed GKE cluster, so  click on the configure option in the auto pilot option.
+![Auto pilot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dp1mleldlecyempgey9o.png)
+
+I have kept all options to their defaults. Wait for the cluster to get created. The notifications link should show the status of creation.
+![Notification for cluster creation in progress](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nvk28v8j6jkb8oa4buel.png)
+
+We should now have a GKE cluster by name autopilot-cluster-1.
+![Notification for cluster creation completed]
+(https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2h66wwysiu3al2u44ync.png)
+
+Refresh the page to see the cluster.
+![Un registered cluster](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ccbl0jpoko2l5ixic4y7.png)
+
+## Register
+We have created the GKE cluster via Anthos, however we also need to register it. Click register and go back to the clusters page, the cluster should show under Anthos managed clusters.
+![Anthos managed cluster](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/36jd6nfoyffdkulaqbiy.png)
+
+We can now use the GKE cluster to launch any applications in the usual way with kubectl or helm.
+
+## Kubeconfig
+Go the cloud shell and run the following command to update kubeconfig.
+```
+$ gcloud container clusters get-credentials autopilot-cluster-1 --region us-central1
+Fetching cluster endpoint and auth data.
+kubeconfig entry generated for autopilot-cluster-1.
+```
+
+Both kubectl and helm would use this kubeconfig to interact with the cluster.
+
+## Namespace
+Let's create a namespace with kubectl.
+```
+$ kubectl create ns harperdb
+namespace/harperdb created
+```
+
+## Helm
+We can deploy the Kubernetes objects with Helm, for which let's check if there is any publicly available helm chart for harperdb chart in the artifact hub.
+```
+$ helm search hub harperdb
+No results found
+```
+
+We don't have a chart yet on the hub. Hence, I would be using a local minimal helm chart, whose files are as follows.
+```
+$ ls harperdb -tR
+harperdb:
+templates  Chart.yaml  values.yaml
+
+harperdb/templates:
+svc.yaml  deploy.yaml  pvc.yaml  secret.yaml
+```
+
+For more info on the contents of files in this chart, pl. checkout this [post](https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9).
+
+Alright, so let's install our helm release on the GKE cluster managed by Anthos.
+```
+$ helm install harperdb . -n harperdb
+W0114 05:34:47.808566     817 warnings.go:70] Autopilot set default resource requests for Deployment harperdb/harperdb, as resource requests were not specified. See http://g.co/gke/autopilot-defaults
+NAME: harperdb
+LAST DEPLOYED: Sat Jan 14 05:34:39 2023
+NAMESPACE: harperdb
+STATUS: deployed
+REVISION: 1
+TEST SUITE: None
+```
+
+## Resources
+Though we have not setup any resource requests in the deployment template, the autopilot cluster had enabled it for us. We can check the deployment spec to see what they have set. Note that it's a good practice to mention resource requests and limits in the template.
+```
+$ kubectl get deploy harperdb -n harperdb -o jsonpath={.spec.template.spec.containers[].resources} | jq
+{
+  "limits": {
+    "cpu": "500m",
+    "ephemeral-storage": "1Gi",
+    "memory": "2Gi"
+  },
+  "requests": {
+    "cpu": "500m",
+    "ephemeral-storage": "1Gi",
+    "memory": "2Gi"
+  }
+}
+```
+
+## Pod
+Check the pod status.
+```
+$ kubectl get po -n harperdb
+NAME                        READY   STATUS    RESTARTS   AGE
+harperdb-559d48f4f7-6dftw   1/1     Running   0          6m9s
+```
+
+## API test
+The pod is running, we can get the service IP and try sending an API call.
+```
+$ HDB_API_ENDPOINT_IP=$(kubectl get svc harperdb -n harperdb -o jsonpath={.status.loadBalancer.ingress[0].ip})
+
+$ curl --location --request POST http://${HDB_API_ENDPOINT_IP}:8080 --header 'Content-Type: application/json' --header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' --data-raw '{
+    "operation": "create_schema",
+    "schema": "prod"
+}'
+{"message":"schema 'prod' successfully created"}
+```
+
+So our installation went smooth and it's working.
+
+## Clean up 
+The clean up involves four steps. Deleting the helm chart directory from cloudshell `rm -rf harperdb`. 
+
+Unregistering the cluster from the Anthos console. 
+![Unregister cluster](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/batd1bbwsmgkslp3rsx9.png)
+
+Delete the cluster from the GKE console.
+![Delete the cluster](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fsxmrubutxiaxmdux1ez.png)
+
+Finally disable the Anthos API.
+```
+$ gcloud services disable anthos.googleapis.com
+Warning: Disabling this service will also automatically disable any running Anthos clusters.
+
+Do you want to continue (y/N)?  y
+```
+
+## Summary
+So we have seen how to create an autopilot cluster from the Anthos console, installed a helm release for HarperDB on it, and tested it with a sample schema creation. Thank you for reading !!!
diff --git a/_posts/2023-01-18-harperdb-with-anthos-on-gke.md b/_posts/2023-01-18-harperdb-with-anthos-on-gke.md
index 8a1b314..e67267a 100644
--- a/_posts/2023-01-18-harperdb-with-anthos-on-gke.md
+++ b/_posts/2023-01-18-harperdb-with-anthos-on-gke.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/networkandcode/harperdb-with-anthos-on-gke-2nef
-categories: anthos, gke, harperdb, kubernetes
-date: 2023-01-18
-tags: anthos, gke, harperdb, kubernetes
-title: HarperDB with Anthos on GKE
+canonical_url: "https://dev.to/networkandcode/harperdb-with-anthos-on-gke-2nef"
+categories: "anthos, gke, harperdb, kubernetes"
+date: "2023-01-18"
+tags: "anthos, gke, harperdb, kubernetes"
+title: "HarperDB with Anthos on GKE"
 ---
 
 This post first appeared on [dev.to](https://dev.to/networkandcode/harperdb-with-anthos-on-gke-2nef)
diff --git a/_posts/2023-02-03-harperdb-helm-chart-on-artifact-hub.md b/_posts/2023-02-03-harperdb-helm-chart-on-artifact-hub.md
index 044943c..ec08183 100644
--- a/_posts/2023-02-03-harperdb-helm-chart-on-artifact-hub.md
+++ b/_posts/2023-02-03-harperdb-helm-chart-on-artifact-hub.md
@@ -1,9 +1,9 @@
 ---
-canonical_url: https://dev.to/networkandcode/harperdb-helm-chart-on-artifact-hub-3066
-categories: eks, harperdb, helm, kubernetes
-date: 2023-02-03
-tags: eks, harperdb, helm, kubernetes
-title: HarperDB Helm chart on Artifact Hub
+canonical_url: "https://dev.to/networkandcode/harperdb-helm-chart-on-artifact-hub-3066"
+categories: "eks, harperdb, helm, kubernetes"
+date: "2023-02-03"
+tags: "eks, harperdb, helm, kubernetes"
+title: "HarperDB Helm chart on Artifact Hub"
 ---
 
 This post first appeared on [dev.to](https://dev.to/networkandcode/harperdb-helm-chart-on-artifact-hub-3066)
diff --git a/_posts/2023-02-03/2023-02-03-harperdb-helm-chart-on-artifact-hub.md b/_posts/2023-02-03/2023-02-03-harperdb-helm-chart-on-artifact-hub.md
new file mode 100644
index 0000000..471ed9e
--- /dev/null
+++ b/_posts/2023-02-03/2023-02-03-harperdb-helm-chart-on-artifact-hub.md
@@ -0,0 +1,541 @@
+---
+canonical_url: "https://dev.to/networkandcode/harperdb-helm-chart-on-artifact-hub-3066"
+date: "2023-02-03"
+title: "HarperDB Helm chart on Artifact Hub"
+tags: "web3, crypto, webdev, offers"
+categories: "web3, crypto, webdev, offers"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/harperdb-helm-chart-on-artifact-hub-3066)**
+
+## Introduction
+Hey :wave:, in this post, we shall see how to create a helm chart for HarperDB based on the boilerplate helm chart with the helm cli, lint/dry run it and push it to the artifact [hub](https://artifacthub.io), and then reuse it to install a helm release on a Kubernetes cluster. You can get the helm chart used in this post from this [link](https://github.com/networkandcode/harperdb-deployments/tree/main/helm-charts/standard/harperdb).
+
+You may check this [post](https://dev.to/aws-builders/harperdb-with-helm-on-eks-3fb9) if you are looking to install harperdb with a custom, minimal helm chart.
+
+## Search
+As of this writing, there is no chart available on artifact hub for harperdb, the screenshot below should validate that.
+![HarperDB chart not found in artifact hub](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/idysqmfnelkdj60fe0ii.png)
+
+So our goal is to push the harpderdb chart to artifact hub, so that the search result shows an entry.
+
+Let's give a try on ChatGPT.
+![Search for harperdb helm chart on ChatGPT](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2gd3nvxzwcgdgbut9h0y.png)
+
+We could also search from the helm cli, to see if there exists a chart for harperdb. For which you have to first install [helm](https://helm.sh/docs/intro/install/) in your system.
+
+On Mac, it could be installed as follows.
+```
+$ brew install helm
+```
+
+Now, we can search for the chart.
+```
+$ helm search hub harperdb
+No results found
+```
+
+This result matches with the search we did on website.
+
+## Chart
+Ok, we can create our chart. Let's first create a boilerplate chart with the name harperdb.
+```
+$ helm create harperdb
+Creating harperdb
+```
+
+A chart is created for us, it's nothing but a directory with a specific layout.
+```
+$ ls -R harperdb  
+Chart.yaml	charts		templates	values.yaml
+
+harperdb/charts:
+
+harperdb/templates:
+NOTES.txt		deployment.yaml		ingress.yaml		serviceaccount.yaml
+_helpers.tpl		hpa.yaml		service.yaml		tests
+
+harperdb/templates/tests:
+test-connection.yaml
+```
+
+Let's make a few changes.
+
+Change the appVersion, I am going to use the latest version of harperdb found in the [tags](https://hub.docker.com/r/harperdb/harperdb/tags) section at docker hub.
+```
+$ cat harperdb/Chart.yaml| grep appVersion
+appVersion: "1.16.0"
+
+$ sed -i 's/appVersion: "1.16.0"/appVersion: "4.0.4"/g' harperdb/Chart.yaml
+
+$ cat harperdb/Chart.yaml| grep appVersion
+appVersion: "4.0.4"
+```
+
+We don't need any sub charts for now, so we can remove that directory.
+```
+$ rm  -r harperdb/charts
+```
+
+We can also remove the tests directory.
+```
+$ rm -r harperdb/templates/tests
+```
+
+## Values
+We need to make a few modifications in the values file.
+
+### Image
+Let's set the image.
+```
+$ cat harperdb/templates/deployment.yaml | grep image:
+          image: "{{ .Values.image.repository }}:{{ .Values.image.tag | default .Chart.AppVersion }}"
+```
+
+The tag can come from the appVersion, we just need to set the image repository in values. By default, it would have nginx.
+```
+$ grep repository: harperdb/values.yaml 
+  repository: nginx
+```
+
+Edit values by replacing nginx with harperdb/harperdb.
+```
+$ sed -i 's#repository: nginx#repository: harperdb/harperdb#g' harperdb/values.yaml
+
+$ grep repository: harperdb/values.yaml 
+  repository: harperdb/harperdb
+```
+
+### Service
+HarperDB uses the port 9925 for the rest API, we would be exposing only this here, though there are other ports like 9926, 9932 for custom functions, clustering etc.
+
+In our chart they are setting the service port in `.Values.service.port` and the same port is used as port the container port too, we can stick with that for simplicity.
+```
+$ grep -ir service.port harperdb
+harperdb/templates/NOTES.txt:  echo http://$SERVICE_IP:{{ .Values.service.port }}
+harperdb/templates/ingress.yaml:{{- $svcPort := .Values.service.port -}}
+harperdb/templates/service.yaml:    - port: {{ .Values.service.port }}
+harperdb/templates/deployment.yaml:              containerPort: {{ .Values.service.port }}
+```
+
+Let' change the service port in values.
+```
+$ grep port: harperdb/values.yaml
+  port: 80
+
+$ sed -i 's/port: 80/port: 9925/g' harperdb/values.yaml 
+
+$ grep port: harperdb/values.yaml
+  port: 9925
+```
+
+Also set the service type to LoadBlancer
+```
+
+$ sed -i 's/type: ClusterIP/type: LoadBalancer/g' harperdb/values.yaml
+
+$ cat harperdb/values.yaml
+--TRUNCATED--
+service:
+  type: LoadBalancer
+  port: 9925
+--TRUNCATED
+```
+
+### Security context
+Modify the pod security context, you may check this [post](https://dev.to/aws-builders/harperdb-on-eks-1bcb) to know why we used 1000 as the fsGroup.
+```
+$ grep -i -A 2 podSecurityContext harperdb/values.yaml
+podSecurityContext:
+  fsGroup: 1000
+```
+
+### Resources
+Similary set the cpu and memory requirements in values.
+```
+$ grep -A 6 resources harperdb/values.yaml
+resources:
+  limits:
+    cpu: 500m
+    memory: 1Gi
+  requests:
+    cpu: 100m
+    memory: 128Mi
+```
+
+## Secret
+The chart we created doesn't have a secret manifest, we can create it. This manifest follows standards similar to the service account manifest.
+```
+$ cat < harperdb/templates/secret.yaml 
+{{- if .Values.secret.create }}
+apiVersion: v1
+kind: Secret
+metadata:
+  name: {{ include "harperdb.secretName" . }}
+  labels:
+    {{- include "harperdb.labels" . | nindent 4 }}
+stringData:
+  {{- toYaml .Values.secret.entries | nindent 2 }}
+{{- end }}
+EOF
+```
+
+We can set the appropriate values for the secret manifest.
+```
+$ cat <>  harperdb/values.yaml
+
+secret:
+  entries:
+    HDB_ADMIN_USERNAME: admin
+    HDB_ADMIN_PASSWORD: password12345
+  create: true
+  name: harperdb
+EOF
+```
+
+We can then modify the helpers file.
+```
+$ cat <> harperdb/templates/_helpers.tpl 
+
+{{/*
+Create the name of the secret to use
+*/}}
+{{- define "harperdb.secretName" -}}
+{{- default "default" .Values.secret.name }}
+{{- end }}
+EOF
+```
+
+## PVC
+Likewise, there is no pvc template in the chart. So we can add that.
+```
+$ cat < harperdb/templates/pvc.yaml 
+{{- if .Values.pvc.create }}
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: {{ include "harperdb.pvcName" . }}
+  labels:
+    {{- include "harperdb.labels" . | nindent 4 }}
+spec:
+  accessModes:
+  - {{ .Values.pvc.accessMode }}
+  resources:
+    requests:
+      storage: {{ .Values.pvc.storage }}
+{{- end }}
+EOF
+```
+
+Set the appropriate values for pvc.
+```
+$ cat <> harperdb/values.yaml                                                                                                                                                       
+
+pvc:
+  accessMode: ReadWriteOnce
+  create: true
+  mountPath: /opt/harperdb/hdb
+  name: harperdb
+  storage: 5Gi
+EOF
+```
+
+We can then modify the helpers file.
+```
+$ cat <> harperdb/templates/_helpers.tpl 
+
+{{/*
+Create the name of the pvc to use
+*/}}
+{{- define "harperdb.pvcName" -}}
+{{- default "default" .Values.pvc.name }}
+{{- end }}
+EOF
+```
+
+## Deployment
+We are going to make a few changes to the deployment manifest. So that it looks like below.
+```
+$ cat < harperdb/templates/deployment.yaml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: {{ include "harperdb.fullname" . }}
+  labels:
+    {{- include "harperdb.labels" . | nindent 4 }}
+spec:
+  {{- if not .Values.autoscaling.enabled }}
+  replicas: {{ .Values.replicaCount }}
+  {{- end }}
+  selector:
+    matchLabels:
+      {{- include "harperdb.selectorLabels" . | nindent 6 }}
+  template:
+    metadata:
+      {{- with .Values.podAnnotations }}
+      annotations:
+        {{- toYaml . | nindent 8 }}
+      {{- end }}
+      labels:
+        {{- include "harperdb.selectorLabels" . | nindent 8 }}
+    spec:
+      {{- with .Values.imagePullSecrets }}
+      imagePullSecrets:
+        {{- toYaml . | nindent 8 }}
+      {{- end }}
+      serviceAccountName: {{ include "harperdb.serviceAccountName" . }}
+      securityContext:
+        {{- toYaml .Values.podSecurityContext | nindent 8 }}
+      {{- if .Values.pvc.create }}
+      volumes:
+      - name: data
+        persistentVolumeClaim:
+          claimName: {{ include "harperdb.pvcName" . }}
+      {{- end }}
+      containers:
+        - name: {{ .Chart.Name }}
+          {{- if .Values.pvc.create }}
+          volumeMounts:
+          - name: data
+            mountPath: {{ .Values.pvc.mountPath }}
+          {{- end }}
+          {{- if .Values.secret.create }}
+          envFrom:
+          - secretRef:
+              name: {{ include "harperdb.secretName" . }}
+          {{- end }}
+          securityContext:
+            {{- toYaml .Values.securityContext | nindent 12 }}
+          image: "{{ .Values.image.repository }}:{{ .Values.image.tag | default .Chart.AppVersion }}"
+          imagePullPolicy: {{ .Values.image.pullPolicy }}
+          ports:
+            - name: http
+              containerPort: {{ .Values.service.port }}
+              protocol: TCP
+          resources:
+            {{- toYaml .Values.resources | nindent 12 }}
+      {{- with .Values.nodeSelector }}
+      nodeSelector:
+        {{- toYaml . | nindent 8 }}
+      {{- end }}
+      {{- with .Values.affinity }}
+      affinity:
+        {{- toYaml . | nindent 8 }}
+      {{- end }}
+      {{- with .Values.tolerations }}
+      tolerations:
+        {{- toYaml . | nindent 8 }}
+      {{- end }}
+EOF
+```
+
+In the template above, we have injected the secrets as env vars in the envFrom section of the container. And made changes related to the volume by defining the volume in the pod and mount it in the container.
+
+## Lint
+Our chart is kinda ready... 
+
+Ok so now let's do the linting to see if it's proper.
+```
+$ helm lint harperdb
+==> Linting harperdb
+[INFO] Chart.yaml: icon is recommended
+
+1 chart(s) linted, 0 chart(s) failed
+```
+
+Seems good.
+
+We can now try generating the kubernetes manifests, it won't deploy yet. You can try `helm template harperdb` or `helm template harperdb --debug`, the debug flag helps debugging issues.
+
+## Kubeconfig
+Make sure you have a running kubernetes cluster. I have an EKS cluster, and I would be using the [aws](https://aws.amazon.com/cli/) cli to update the kubeconfig.
+```
+$ aws eks update-kubeconfig --name k8s-cluster-01 --region us-east-1
+```
+
+There are two nodes in my cluster.
+```
+$ kubectl get nodes
+NAME                             STATUS   ROLES    AGE   VERSION
+ip-192-168-22-158.ec2.internal   Ready       24d   v1.23.13-eks-fb459a0
+ip-192-168-38-226.ec2.internal   Ready       24d   v1.23.13-eks-fb459a0
+```
+
+Create a namespace with kubectl.
+```
+$ kubectl create ns harperdb
+```
+
+## Dry run
+As the cluster is ready we can try to do a dry run installation with helm.
+```
+$ helm install harperdb harperdb -n harperdb --dry-run --debug
+```
+
+If there are no errors, we can proceed to the packaging.
+
+## Package
+Our chart seems good so we can package it.
+```
+$ helm package harperdb
+```
+
+This should create a compressed file.
+```
+$ ls | grep tgz
+harperdb-0.1.0.tgz
+```
+
+Here 0.1.0 refers to the chart version.
+```
+$ cat harperdb/Chart.yaml | grep version:
+version: 0.1.0
+```
+
+## Repo
+We should need a repo where we can keep this package. I am using this [repo](https://github.com/networkandcode/networkandcode.github.io) for this purpose. And this repo is also setup with GitHub pages and the website is accessible on this [URL](https://networkandcode.github.io). So you may create a github repo with [pages](https://pages.github.com) setup.
+
+Alright I am cloning my repo.
+```
+git clone git@github.com:networkandcode/networkandcode.github.io.git
+```
+
+Create a directory there for helm packages.
+```
+$ cd networkandcode.github.io/
+$ mkdir helm-packages
+```
+
+We can move the package we created earlier in to this directory.
+```
+$ mv ~/harperdb-0.1.0.tgz helm-packages/
+
+$ ls helm-packages/
+harperdb-0.1.0.tgz
+```
+
+We need to now create an index file.
+```
+$ helm repo index helm-packages/
+
+$ ls helm-packages/
+harperdb-0.1.0.tgz  index.yaml
+```
+
+The index file is populated automatically with these details.
+```
+$ cat helm-packages/index.yaml
+apiVersion: v1
+entries:
+  harperdb:
+  - apiVersion: v2
+    appVersion: 4.0.1
+    created: "2023-02-02T05:58:37.022518464Z"
+    description: A Helm chart for Kubernetes
+    digest: 1282e5919f2d6889f1e3dd849f27f2992d8288087502e1872ec736240dfd6ebf
+    name: harperdb
+    type: application
+    urls:
+    - harperdb-0.1.0.tgz
+    version: 0.1.0
+generated: "2023-02-02T05:58:37.020383374Z"
+```
+
+You can also add the artifacthub repo [file](https://github.com/artifacthub/hub/blob/master/docs/metadata/artifacthub-repo.yml
+), to claim ownership, it's optional though.
+
+Ok we can now push the changes to GitHub, note that I am directly pushing to the master branch.
+```
+$ git add --all
+$ git commit -m 'add helm package for harperdb'
+
+$ git push
+```
+
+## Add repository
+Our repository is ready with the package, we need to add it to artifact hub. Login to artifact hub, and go to control panel and click add repository.
+
+![Add repository in artifactory](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jwzw8x9l60ret2bxg8nl.png)
+
+The repository is added, but it takes some to process. You need to wait until there is a green tick in the Last processed section.
+
+## Search again
+Once the repo is processed, we can repeat the searching process we did while starting this post.
+
+![harperdb on artifact hub](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1mg0nct55jbye0tpmqft.png)
+
+Well, worth to know that ChatGPT's knowledge is cut off in 2021.
+![harperdb on chatgpt](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4feefqyfini6m7ynudrb.png)
+
+Now let's do the cli way.
+```
+$ helm search hub harperdb --max-col-width 1000
+URL                                                             CHART VERSION   APP VERSION     DESCRIPTION
+https://artifacthub.io/packages/helm/networkandcode/harperdb    0.1.0           4.0.1           A Helm chart for Kubernetes
+```
+
+Wow our chart is showing up…
+
+## Install
+We can open the URL shown above and see the installation instructions.
+
+![Installation instructions](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/sbxr87siobilam20v9k4.png)
+
+Let's run those commands, I am going to use -n for installing it in a separate namespace.
+```
+$ helm repo add networkandcode https://networkandcode.github.io/helm-packages
+"networkandcode" has been added to your repositories
+
+$ helm install my-harperdb networkandcode/harperdb --version 0.1.0 -n harperdb
+```
+
+## Validate
+Alright, so the release is installed, it's time to validate. First let's check the helm release status.
+```
+$ helm list -n harperdb
+NAME            NAMESPACE       REVISION        UPDATED                                 STATUS          CHART           APP VERSION
+my-harperdb     harperdb        1               2023-02-02 07:14:59.586892384 +0000 UTC deployed        harperdb-0.1.0  4.0.1
+```
+
+Check the Kubernetes workloads.
+```
+$ kubectl get all -n harperdb
+NAME                               READY   STATUS    RESTARTS   AGE
+pod/my-harperdb-7b66d4f7c5-xtpvw   1/1     Running   0          2m7s
+
+NAME                  TYPE           CLUSTER-IP       EXTERNAL-IP                                                               PORT(S)          AGE
+service/my-harperdb   LoadBalancer   10.100.127.117   a6e762ccc1e2d482a8528a7760544761-2140283724.us-east-1.elb.amazonaws.com   9925:30478/TCP   2m9s
+
+NAME                          READY   UP-TO-DATE   AVAILABLE   AGE
+deployment.apps/my-harperdb   1/1     1            1           2m8s
+
+NAME                                     DESIRED   CURRENT   READY   AGE
+replicaset.apps/my-harperdb-7b66d4f7c5   1         1         1       2m9s
+```
+
+## API
+We can test schema creation with an API call.
+```
+$ HDB_API_ENDPOINT_HOSTNAME=$(kubectl get svc my-harperdb -n harperdb -o jsonpath={.status.loadBalancer.ingress[0].hostname})
+
+$ curl --location --request POST http://${HDB_API_ENDPOINT_HOSTNAME}:9925 --header 'Content-Type: application/json' --header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' --data-raw '{
+    "operation": "create_schema",
+    "schema": "my-schema"
+}'
+{"message":"schema 'my-schema' successfully created"}
+```
+Note that I have parsed the hostname as it gives a hostname for the external IP in EKS. Well, so the API call was successful. Nice, we were able to accomplish the goal !!!
+
+## Clean up
+I am going to just clean up the helm and Kubernetes objects.
+```
+$ helm uninstall my-harperdb -n harperdb
+release "my-harperdb" uninstalled
+
+$ kubectl delete ns harperdb
+namespace "harperdb" deleted
+```
+
+## Summary
+So we have seen some constructs of helm, and understood how we can make a chart for harperdb, push it to artifact hub and subsequently use it to install a harperdb release. Note that you can customise the chart with more options such as adding readme, enabling tests, claiming ownership for the chart, adding more harperdb specific variables w.r.t clustering, custom functions etc. 
+
+Thank you for reading!!!
diff --git a/_posts/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md b/_posts/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md
index c73ab5b..a45a752 100644
--- a/_posts/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md
+++ b/_posts/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md
@@ -1,10 +1,10 @@
 ---
-canonical_url: https://dev.to/networkandcode/query-harperdbs-rest-api-via-apollo-graphql-21n1
-date: 2023-02-17
-title: Query HarperDB's REST API via Apollo GraphQL
-categories: apolloserver, graphql, harperdb, rest
-cover_image: https://source.unsplash.com/featured/?coding
-tags: apolloserver, graphql, harperdb, rest
+canonical_url: "https://dev.to/networkandcode/query-harperdbs-rest-api-via-apollo-graphql-21n1"
+date: "2023-02-17"
+title: "Query HarperDB's REST API via Apollo GraphQL"
+categories: "apolloserver, graphql, harperdb, rest"
+cover_image: "https://source.unsplash.com/featured/?coding"
+tags: "apolloserver, graphql, harperdb, rest"
 ---
 
 **This post first appeared on [dev.to](https://dev.to/networkandcode/query-harperdbs-rest-api-via-apollo-graphql-21n1)
diff --git a/_posts/2023-02-17/2023-02-17-query-harperdb-s-rest-api-via-apollo-graphql.md b/_posts/2023-02-17/2023-02-17-query-harperdb-s-rest-api-via-apollo-graphql.md
new file mode 100644
index 0000000..8708a84
--- /dev/null
+++ b/_posts/2023-02-17/2023-02-17-query-harperdb-s-rest-api-via-apollo-graphql.md
@@ -0,0 +1,490 @@
+---
+canonical_url: "https://dev.to/networkandcode/query-harperdbs-rest-api-via-apollo-graphql-21n1"
+date: "2023-02-17"
+title: "Query HarperDB's REST API via Apollo GraphQL"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fcoding"
+tags: "apolloserver, graphql, harperdb, rest"
+categories: "apolloserver, graphql, harperdb, rest"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/query-harperdbs-rest-api-via-apollo-graphql-21n1)**
+
+## Introduction
+Hi there :wave:, in this post, we shall launch an Apollo server with node, and perform some read & write operations from the Apollo studio sandbox to a HarperDB instance. Having some graphql fundamentals would be beneficial to understand better, though some parts of the code would be explained.
+
+## Studio
+I have an account in HarperDB [studio](https://studio.harperdb.io) and have setup an organisation and a free trier instance there. Once logged in to the instance, the config tab would give the instance credentials we would need to connect from our code.
+![Instance config](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ou6rpws6ql4of4hqi773.png)
+
+
+Note that the studio credentials(email/password) are different from the instance credentials(username/password). You can have more than one instance in the studio. You can have only one free tier instance though across organisations.
+
+Copy the instance url and the basic token from the config shown in the image above, as we would need those while sending API calls.
+
+## Clone
+Clone the code from GitHub.
+```
+$ git clone git@github.com:networkandcode/fruits-apollo-hdb.git
+```
+
+## Dependencies
+The [dependencies](https://github.com/networkandcode/fruits-apollo-hdb/blob/main/server/package.json#L13-L18) for the code are as follows.
+```
+  "dependencies": {
+    "@apollo/datasource-rest": "^5.0.2",
+    "@apollo/server": "^4.3.3",
+    "dotenv": "^16.0.3",
+    "graphql": "^16.6.0"
+  }
+```
+
+We can install these.
+```
+$ npm i
+```
+
+About the packages above: 
+- `@apollo/datasource-rest` is used to make rest api calls from apollo to endpoints such as HarperDB's instance url.
+- `@apollo/server` is used to launch the apollo server itself.
+- `dotenv` is used to read env vars.
+- `graphql` is the core graphql library.
+
+You may refer to this [guide](https://www.apollographql.com/docs/apollo-server/getting-started/#step-2-install-dependencies) for more info.
+
+## Variable
+Add an `.env` file, we just need one variable.
+```
+$ cat .env
+HDB_INSTANCE_URL=https://.harperdbcloud.com
+```
+
+## Start
+There is a start script with invokes the index file.
+```
+$ cat package.json| grep start
+    "start": "node index.js"
+```
+
+Good to start the server
+```
+$ npm start
+
+> server@1.0.0 start
+> node index.js
+
+🚀  Server ready at: http://localhost:4000/
+```
+
+## Apollo studio
+Once the server is started we should be able to see the sandbox studio on the browser at http://localhost:4000/.
+![Apollo studio](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y9t1050mz0k32nkiaah0.png)
+
+## Token
+Let's set the authorisation header, you may paste the basic token obtained from HarperDB studio here.
+![Basic auth token](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8078w2kbat6uzcw939on.png)
+
+We are setting this [token](https://github.com/networkandcode/fruits-apollo-hdb/blob/main/server/index.js#L20) in the server context.
+```
+    const token = req.headers.authorization;
+```
+
+Which would be [passed](https://github.com/networkandcode/fruits-apollo-hdb/blob/main/server/datasource.js#L46-L48) to HarperDB while the REST API call is being made.
+```
+    willSendRequest(_path, request) {
+      request.headers['authorization'] = this.token;
+    };
+```
+
+## Code
+Let's see what code files we have and their purpose.
+```
+$ ls *.js
+datasource.js   index.js        resolvers.js    schema.js
+```
+- `datasource.js` is where we are making calls to HarperDB via REST API.
+- `index.js` has code that wraps the schema and resolvers in the server and starts it.
+- `resolvers.js` contains resolvers that resolves all of the queries and mutations defined in `schema.js` by sending calls to HarperDB API defined in `datasource.js`
+- `schema.js` contains our graphql schema that has built in types Query and Mutation as well as other user defined types and inputs.
+
+
+### Schema
+Our graphql [schema](https://www.apollographql.com/docs/apollo-server/schema/schema/) is a collection of type definitions. And hence it's common to use typeDefs as our schema variable.
+```
+$ cat schema.js 
+const typeDefs = `
+  input CreateTableBody {
+    schema: String!
+    table: String!
+    hash_attribute: String!
+  }
+
+  input FruitInput {
+    name: String!
+    "calories per 100 gm"
+    calories: Int!
+  }
+
+  type Query {
+    fruits(schema: String!, table: String!): [Fruit]
+    fruit(schema: String!, table: String!, name: String!): [Fruit]
+  }
+
+  type Mutation {
+    createSchema(schema: String!): ApiResponse!
+    createTable(body: CreateTableBody!): ApiResponse!
+    insertRecords(schema: String!, table: String!, records: [FruitInput!]! ): ApiResponse!
+  }
+
+  type Fruit {
+    id: ID!
+    name: String!
+    calories: Int!
+  }
+
+  type ApiResponse {
+    status: Int!
+    message: String!
+  }
+`;
+
+export default typeDefs;
+```
+
+In the schema, there are two built in types Query and Mutation. Query is meant for read operations where as Mutation refers to operations that involve create, update or deletion of data.
+
+In Query, we have defined two fields fruits and fruit. `fruits` takes two arguments schema and table, both are strings and are mandatory or non nullable as denoted with `!`. Both fruits and fruit fields return same type of data denoted by [Fruit], this indicates an array of records, where each record is of type Fruit, this is not a built in type like String or Int, hence we have defined it as type Fruit. The type definition for Fruit denotes it’s structure, it would have three fields id, name and calories which are of types ID, String and Int respectively, and all 3 fields are non nullable. To summarise, we can have two Query operations one is fruits and the other is fruit both return a list of fruits(records from HarperDB).
+
+Like wise for Mutation, we have three fields createSchema, createTable and insertRecords with their respective arguments, and all of them would return the same type of response as denoted by ApiResponse, that would have only 2 fields status and message.
+
+Note that when a field type is not built in, we would define it with type, like we have defined type `Fruit` and type `ApiResponse` in our schema. Likewise, when an argument type is not built in, we would delete it with input, like we have defined input `CreateTableBody` and `FruitInput` in our schema. 
+
+### Datasource
+Here, we create a new class by name HdpApi that inherits from RESTDataSource. Note that we obtain the baseURL from the env var. 
+
+The willSendRequest function is used to add the header while calls are being sent to the base url. There are just two functions we are defining here, as in HarperDB all the calls are of type [POST](https://api.harperdb.io), and there mainly two types of calls, one that sends SQL style statements and the other which they call as NoSQL operations.
+
+```
+$ cat datasource.js 
+import { RESTDataSource } from '@apollo/datasource-rest'; 
+
+class HdbApi extends RESTDataSource {
+    baseURL = process.env.HDB_INSTANCE_URL;
+    
+    constructor(options) {
+      super(options);
+      this.token = options.token;
+    };
+  
+    async sqlQuery(body) {
+      // for read operations
+      return await this.post(
+        '',
+        {
+          body,
+        }
+      ).then((res) => {
+        return res;
+      })
+    };
+  
+    async noSqlQuery(body) {
+      return await this.post(
+        '',
+        {
+          body,
+        }
+      ).then((res) => {
+        const { message } = res;
+        return {
+          status: 200,
+          message
+        }
+      }).catch((err) => {
+        const { status, body } = err.extensions.response;
+        const message = body.error;
+  
+        return {
+          status,
+          message
+        }
+      });
+    };
+  
+    willSendRequest(_path, request) {
+      request.headers['authorization'] = this.token;
+    };
+  
+  };
+
+  export default HdbApi;
+```
+
+### Index
+In the index file, we import the modules first. And then, we import the schema, resolvers and our datasource. We use dotenv to read the var defines in `.env`.
+
+We then create an Apollo server instance that takes two arguments: schema and resolvers.
+
+We start the server finally, and we give options such as the listening port, and the context.
+
+```
+$ cat index.js 
+import { ApolloServer } from '@apollo/server';
+import { startStandaloneServer } from '@apollo/server/standalone';
+import dotenv from 'dotenv';
+
+import typeDefs from './schema.js';
+import resolvers from './resolvers.js';
+import HdbApi from './datasource.js';
+
+dotenv.config();
+console.log(process.env)
+
+const server = new ApolloServer({
+  typeDefs,
+  resolvers,
+});
+
+const { url } = await startStandaloneServer(server, {
+  listen: { port: 4000 },
+  context: async({ req }) => {
+    const { cache } = server;
+    const token = req.headers.authorization;
+    return {
+      dataSources: {
+        hdbApi: new HdbApi({ cache, token }),
+      }
+    }
+  }
+});
+
+console.log(`🚀  Server ready at: ${url}`);
+```
+
+The context returns a dataSources dictionary that has a hdpApi key in it, and this points to a new HdpApi object which is defined in the datasource.
+
+We can refer to this context in the resolvers.
+
+### Resolvers
+There are 2 main resolvers for the built in types Query and Mutation. Inside each resolver, we have a function for each field inside the type. In our schema we have defines two types fruits and fruit, hence there are two such functions inside the Query resolver too. Similarly we have three functions for the Mutations: createSchema, createTable and insertRecords. 
+
+What these functions return will come as the result in the Apollo Studio for our GraphQL operation. The return statements are referring to contextValue which is the context function we defined in index. So, the resolvers are able to use the context defined in the server, which subsequently points to the api calls we defined in the datasource.
+
+Note that there are four [arguments](https://www.apollographql.com/docs/apollo-server/data/resolvers/#resolver-arguments) for each function: parent, args, contextValue and info. We would only need the 2nd and 3rd args for this exercise though. We have already seen about `contextValue` above, and `args` refer to the variables we set while running an operation in the Apollo studio.
+```
+$ cat resolvers.js 
+const resolvers = {
+    Query: {
+      fruits: (_, args, contextValue) => {
+        const { schema, table } = args;
+        const body = {
+          "operation": "sql",
+          "sql": `SELECT * FROM ${schema}.${table}`,
+        }
+  
+        return contextValue.dataSources.hdbApi.sqlQuery(body);
+      },
+      fruit: (_, args, contextValue) => {
+        const { schema, table, name } = args;
+        const body = {
+          "operation": "sql",
+          "sql": `SELECT * FROM ${schema}.${table} where name = "${name}"`
+        };
+  
+        return contextValue.dataSources.hdbApi.sqlQuery(body);
+      },
+    },
+    Mutation: {
+      // There are four args parent, args, contextValue and info
+      createSchema: (_, { schema }, contextValue) => {
+        const body = {
+          operation: "create_schema",
+          schema,
+        };
+  
+        return contextValue.dataSources.hdbApi.noSqlQuery(body);
+      },
+      createTable: (parent, { body }, contextValue, info) => {
+        body = {
+          ...body,
+          operation: "create_table",
+        }
+  
+        return contextValue.dataSources.hdbApi.noSqlQuery(body);
+      },
+      insertRecords: (parent, { schema, table, records }, contextValue, info) => {
+        const body = {
+          operation: "insert",
+          schema,
+          table,
+          records
+        }
+  
+        return contextValue.dataSources.hdbApi.noSqlQuery(body);
+      }
+    }
+  };
+
+  export default resolvers;
+```
+
+### Operations
+Ok so all the setup is done. We are good to go with the Query / Mutation operations. Let's start with Mutations.
+
+## Create schema
+Let's try creating a schema in HarperDB with the mutation in Apollo GraphQl. Make a note that this schema is not the GraphQL schema, it's the schema in HarperDB.
+![Create schema](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lbuekkn64gvtyyff6ayn.png)
+
+Building the operation and variables is easy, you just need to click on the plus sign next to the operation and field.
+
+We can validate this in the browse section of HarperDB studio.
+![Schema created](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/12zz0f8lmwd59rskcihg.png)
+
+If we try to run the mutation again on Apollo studio, we should see an error message that says the schema already exists.
+![Schema exists](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lumt7n23m9pfaz67v3fn.png)
+
+## Create table
+The schema is created, we can now try to add a table in this schema.
+![Create table](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/01gfnkjb6a5cb80ch5no.png)
+
+The operation is ready however we need to fill the data for the body variable, for which we can click on the argument.
+![Body argument](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/e6bxpyvayymrbhp0hf28.png)
+
+We should be able to see all the input data fields defined for the argument. We can add them all with the plus button.
+![Input data fields for body](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/p5dt21yp35da4ywvxqp3.png)
+
+The variable should be populated for us with null fields.
+![Variable with null values](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/orhxwkos5imyowrclpra.png)
+
+We can replace null with the actual values.
+![Variable with actual values](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mohdqjvk43j9ynxv8val.png)
+
+We can run the operation and see the response.
+![Table created](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qziq2daawq6jzt38jb8l.png)
+
+If you try again, you should see an error message.
+![Table already exists](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/30wz761toujajtokzlvr.png)
+
+## Add entries to table
+The operation in this case would be:
+```
+mutation Mutation($schema: String!, $table: String!, $records: [FruitInput!]!) {
+  insertRecords(schema: $schema, table: $table, records: $records) {
+    message
+    status
+  }
+}
+```
+
+The variables would be:
+```
+  "schema": "myschema",
+  "table": "fruits",
+  "records": [
+    {
+      "name": "Apple",
+      "calories": 52
+    },
+    {
+      "name": "Banana",
+      "calories": 89
+    }
+  ]
+}
+```
+
+And the response as follows, after running the mutation:
+```
+{
+  "data": {
+    "insertRecords": {
+      "message": "inserted 2 of 2 records",
+      "status": 200
+    }
+  }
+}
+```
+
+## Retrieve records
+Let's try a query operation this time, for retrieving all records from the table.
+
+The operation is:
+```
+query Fruits($schema: String!, $table: String!) {
+  fruits(schema: $schema, table: $table) {
+    calories
+    id
+    name
+  }
+}
+```
+
+The variables are:
+```
+{
+  "schema": "myschema",
+  "table": "fruits"
+}
+```
+
+And the result of the query operation would be:
+```
+{
+  "data": {
+    "fruits": [
+      {
+        "calories": 52,
+        "id": "3963a29c-d696-44ae-a3d8-e11de48bf339",
+        "name": "Apple"
+      },
+      {
+        "calories": 89,
+        "id": "eec06bc5-85cf-48eb-87d2-89a25fd9f3c1",
+        "name": "Banana"
+      }
+    ]
+  }
+}
+```
+
+## Retrieve selective records
+And one final query to retrieve selective records.
+The query is:
+```
+query Query($schema: String!, $table: String!, $name: String!) {
+  fruit(schema: $schema, table: $table, name: $name) {
+    calories
+    id
+    name
+  }
+}
+```
+
+Variables:
+```
+{
+  "schema": "myschema",
+  "table": "fruits",
+  "name": "Apple"
+}
+```
+
+And result of the query:
+```
+{
+  "data": {
+    "fruit": [
+      {
+        "calories": 52,
+        "id": "3963a29c-d696-44ae-a3d8-e11de48bf339",
+        "name": "Apple"
+      }
+    ]
+  }
+}
+```
+
+## Summary
+Thus we were able to access the Apollo studio on the browser and send queries and mutations to HarperDB. HarperDB is considering GraphQL functionality on their roadmap. Check out their [Feedback Board](https://feedback.harperdb.io/) and give it an upvote if you think it would be helpful!
+
+Feel free to ask questions if the flow is not clear, and correct if there are any mistakes. Thank you for reading !!!
+
+Image credit: [unsplash](https://source.unsplash.com/featured/?coding)
diff --git a/_posts/2023-05-22/2023-05-22-notes-app-with-nextjs.md b/_posts/2023-05-22/2023-05-22-notes-app-with-nextjs.md
new file mode 100644
index 0000000..15a876f
--- /dev/null
+++ b/_posts/2023-05-22/2023-05-22-notes-app-with-nextjs.md
@@ -0,0 +1,96 @@
+---
+canonical_url: "https://dev.to/networkandcode/notes-app-with-nextjs-2l4g"
+date: "2023-05-22"
+title: "Notes app with NextJS"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fnote"
+tags: "githubhack23, nextjs, auth0, harperdb"
+categories: "githubhack23, nextjs, auth0, harperdb"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/notes-app-with-nextjs-2l4g)**
+
+## What I built 
+I developed a simple notes app with [NextJS](https://nextjs.org/) that authenticates via [Auth0](https://auth0.com/) and does CRUD operations via the API endpoints in NextJS to the database in [HarperDB](https://studio.harperdb.io/). This was deployed on [vercel](https://vercel.com/).
+
+### Category Submission: 
+Wacky Wildcards
+
+### App Link
+https://notes-app-pied-one.vercel.app/
+
+### Screenshots 
+Login:
+![Login screen](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2vcc1wy96l047obk0i6w.png)
+
+Auth0 login:
+![Auth0 login](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/acgv134656vxxj0mfmxf.png)
+
+Add note:
+![Add note](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/u3pqdeu0omlbu0mel2m2.png)
+
+View notes:
+![View notes](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6ytqulpkldqx85hp4l0i.png)
+
+Search:
+![Search note](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5qq1xvwhcqwo9dnxyhll.png)
+
+Edit or delete note:
+![Edit or delete note](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mjr7rxmctsx7zpiszxj7.png)
+
+### Description 
+The app does the following:
+- Let's the user signin with auth0
+- Adds notes to the database created in HarperDB with the user's email
+- Supports Editing or Deleting existing notes
+- Search box in the homepage to filter notes
+
+### Link to Source Code 
+https://github.com/networkandcode/notes-app
+
+### Permissive License 
+MIT License
+
+## Background (What made you decide to build this particular app? What inspired you?) 
+I have the habit of taking notes while on calls at work or while watching or reading learning content. I mostly use notepad and save those notes in the localdrive, sometimes I also save notes on google docs, or as files in my github repo. This is a simple utility which I think can be used atleast by me for writing some short notes on web and use it anywhere. Secondly I wanted to participate atleast with anything simple as it's sometime now.
+
+### How I built it (How did you utilize GitHub Actions or GitHub Codespaces? Did you learn something new along the way? Pick up a new skill?) 
+I have used GitHub Codespaces initially for writing code for this project. I realised it had certain functionalities like AWS Cloud9. However Codespaces seems to be like VS code on the web, shortcuts like Ctrl b(hide or show folder), Ctrl j(Terminal toggle), Ctrl [ or ] for indentation, all seem working. I am yet to explore GitHub actions, I am guessing it could help setting up workflows or CI/CD pipelines for the code in the repo.
+
+Here is a screenshot from codespaces:
+![Codespaces](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9poac85boewuvun4hgi2.png)
+
+
+
+### Additional Resources/Info
+I followed this [quick start](https://auth0.com/docs/quickstart/webapp/nextjs/01-login) for integrating Auth0 with NextJS. The env vars related to HarperDB can be obtained from the config section of the studio. The list of environment variable names are added to [.env.example](https://github.com/networkandcode/notes-app/blob/main/.env.example). The sample notes used for testing where generated with ChatGPT. And I logged in with the google signin to test.
+
+This app was lint checked with strict mode:
+```
+% npm run lint
+
+> notes-app@1.0.0 lint
+> next lint
+
+- info Loaded env from /Users/networkandcode/notes-app/.env.local
+✔ No ESLint warnings or errors
+```
+Image credit [unsplash](https://source.unsplash.com/featured/?note)
+
+## Update:
+I have tried github actions with an example [docker workflow](https://github.com/networkandcode/notes-app/blob/main/.github/workflows/docker.yml) provided in the actions page, for which I used this [dockerfile](https://github.com/networkandcode/notes-app/blob/main/dockerfile)
+
+The workflow ran successfuly and an image was pushed [here](https://github.com/networkandcode/notes-app/pkgs/container/notes-app)
+
+This image is public, and I can now use docker to pull and try running this on codespaces.
+```
+$ docker pull ghcr.io/networkandcode/notes-app:main
+
+$ docker run -d -p 3000:3000 --env-file .env.local ghcr.io/networkandcode/notes-app:main
+551c561623dcefe5dc26b4762bc8806ca018a863ff8ad728d213cd861c882d16
+
+$ docker ps
+CONTAINER ID   IMAGE                                   COMMAND                  CREATED          STATUS          PORTS                                       NAMES
+551c561623dc   ghcr.io/networkandcode/notes-app:main   "docker-entrypoint.s…"   46 seconds ago   Up 44 seconds   0.0.0.0:3000->3000/tcp, :::3000->3000/tcp   elated_newton
+```
+
+I could now access the application on the codespaces url that's port forwared to localhost:3000.
+![App preview with docker](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ocs9ik3vyrkykftq93cc.png). There are many more examples in the workflow actions, and I think it would be worth trying to extend the workflow to deploy directly to a kubernetes once the image is built.
diff --git a/_posts/2023-05-27/2023-05-27-injecting-aws-secrets-to-harperdb-container-with-python.md b/_posts/2023-05-27/2023-05-27-injecting-aws-secrets-to-harperdb-container-with-python.md
new file mode 100644
index 0000000..c038051
--- /dev/null
+++ b/_posts/2023-05-27/2023-05-27-injecting-aws-secrets-to-harperdb-container-with-python.md
@@ -0,0 +1,418 @@
+---
+canonical_url: "https://dev.to/aws-builders/injecting-aws-secrets-to-harperdb-container-with-python-2df6"
+date: "2023-05-27"
+title: "Injecting AWS secrets to HarperDB container with Python"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Ffiles"
+tags: "aws, harperdb, kubernetes, python"
+categories: "aws, harperdb, kubernetes, python"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/injecting-aws-secrets-to-harperdb-container-with-python-2df6)**
+
+In this post we'll see how we can inject the username and password secrets stored in AWS as environmental variables to the HarperDB container in a few ways. First, we would cover some AWS Secrets manager and IAM procedures. And then we would move on to Docker and Kubernetes.
+
+## Create secret
+Login to the AWS console as a user that has enough permissions to create a secret. Access the AWS cloud shell and put your secret in JSON format in a temporary file.
+```
+$ cat > /tmp/.hdb_creds.json < /tmp/.policy.json
+```
+
+So, the actual policy with the secret ARN is now in `/tmp/.policy.json`. We could use that for creating the policy. We can also retrieve the policy ARN as that's required while attaching the policy to group.
+```
+$ POLICY_ARN=`aws iam create-policy --policy-name apppolicy --policy-document file:///tmp/.policy.json --query Policy.Arn`
+```
+The policy is now created, we are good to delete the hidden file.
+```
+$ rm /tmp/.policy.json
+```
+
+We can now attach the policy to the group.
+```
+$ aws iam attach-group-policy --group-name appgroup --policy-arn $POLICY_ARN
+```
+
+## Access key
+So far we created a user inside a group, and gave that group permission to read the secret value. We can now create an access key and share it with the dev team who would use it in their app, for authentication.
+```
+$ aws iam create-access-key --user-name appuser > /tmp/.access_key.json
+
+$ cat /tmp/.access_key.json 
+{
+    "AccessKey": {
+        "UserName": "appuser",
+        "AccessKeyId": "AKIA4IRCWQQATYRH4XV2",
+        "Status": "Active",
+        "SecretAccessKey": "",
+        "CreateDate": "2023-05-25T11:41:20+00:00"
+    }
+}
+```
+
+## Dev user
+Let's say the access key created by the devops team is shared to the developer. The developer can test it with the aws cli by retreiving the secret value as follows from their system. Note that appuser doesn't have console access, so it can't access the cloud shell via console. It's meant to be used programmatically. It's possible though to use different accounts from the same machine with profiles in aws cli.
+
+We would follow rest of  the post from the local machine, and not cloud shell.
+
+The [aws](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html) cli can be installed, if not present.
+```
+$ curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
+$ unzip awscliv2.zip
+$ sudo ./aws/install
+```
+
+The developer needs to set the configuration and credentials for aws. Create and new directory and add a `.env` file to it.
+```
+$ mkdir secret-injection
+$ cd secret-injection/
+$ cat > .env << EOF
+AWS_ACCESS_KEY_ID=AKIA4IRCWQQA25E4Q7OC
+AWS_DEFAULT_OUTPUT=text
+AWS_DEFAULT_REGION=ap-south-1
+AWS_SECRET_ACCESS_KEY=
+AWS_SECRET_NAME=HdbCreds
+EOF
+```
+
+Export these to setup env vars in the system.
+```
+$ export `cat .env | xargs`
+
+$ printenv | grep AWS
+AWS_DEFAULT_REGION=ap-south-1
+AWS_ACCESS_KEY_ID=AKIA4IRCWQQA25E4Q7OC
+AWS_SECRET_ACCESS_KEY=
+AWS_SECRET_NAME=HdbCreds
+AWS_DEFAULT_OUTPUT=text
+```
+
+Setting env vars is one way of adding configuration and credentials for aws. Alternatively, you can also use `aws configure` that would rather create files in the `~/.aws` directory.
+```
+$ aws configure
+AWS Access Key ID [None]: AKIA4IRCWQQATYRH4XV2
+AWS Secret Access Key [None]: 
+Default region name [None]: ap-south-1
+Default output format [None]: text
+```
+
+This automatically creates the `.aws` directory and two files inside it.
+```
+$ cat ~/.aws/config 
+[default]
+region = ap-south-1
+output = text
+
+$ cat ~/.aws/credentials 
+[default]
+aws_access_key_id = AKIA4IRCWQQATYRH4XV2
+aws_secret_access_key = 
+```
+
+We can go with the `.env method` as we anyways have an extra variable for setting the secret name.
+
+## Retreive secret
+Let's try retreiving the secret from the developer machine.
+```
+$ aws secretsmanager get-secret-value --secret-id $AWS_SECRET_NAME --query SecretString
+{
+    "HDB_ADMIN_USERNAME": "admin",
+    "HDB_ADMIN_PASSWORD": "password"
+}
+```
+It's working....
+
+## Docker / AWS CLI
+Let's try our first test with Docker. We would retrieve the secrets with aws, set those as env vars on the local system and pass it to docker container as env vars.
+```
+$ HDB_ADMIN_USERNAME=`aws secretsmanager get-secret-value --secret-id $AWS_SECRET_NAME --query SecretString | jq -r '.HDB_ADMIN_USERNAME'`
+
+$ HDB_ADMIN_PASSWORD=`aws secretsmanager get-secret-value --secret-id $AWS_SECRET_NAME --query SecretString | jq -r '.HDB_ADMIN_PASSWORD'`
+
+$ docker run -d -e HDB_ADMIN_USERNAME=$HDB_ADMIN_USERNAME -e HDB_ADMIN_PASSWORD=$HDB_ADMIN_PASSWORD harperdb/harperdb
+```
+
+The HarperDB container should be running and we can check the values of env vars.
+```
+$ HDB_CTR_ID=`docker run -d -e HDB_ADMIN_USERNAME=$HDB_ADMIN_USERNAME -e HDB_ADMIN_PASSWORD=$HDB_ADMIN_PASSWORD harperdb/harperdb`
+
+$ docker exec $HDB_CTR_ID printenv | grep HDB
+HDB_ADMIN_USERNAME=admin
+HDB_ADMIN_PASSWORD=password
+```
+
+## Python
+This time we would try with some python code, samples should be availble from [AWS](https://aws.amazon.com/developer/language/python/).
+
+Let's first run the python code locally and see if it works.
+```
+$ cat retrieve_secret.py 
+'''
+This example does some modification on the AWS sample code, visit the AWS docs for samples:
+https://aws.amazon.com/developer/language/python/
+'''
+
+import json
+import os
+import boto3
+from botocore.exceptions import ClientError
+from dotenv import load_dotenv
+
+load_dotenv()
+
+def get_secret():
+    '''
+    function to retrieve secret from aws secrets manager
+    iterate over its keys and create files, one each for each key
+    the name of the file will be the key and it's value is the file content
+
+    pass the following env vars:
+    AWS_ACCESS_KEY_ID
+    AWS_SECRET_ACCESS_KEY
+    AWS_DEFAULT_REGION
+    AWS_SECRET_NAME
+    '''
+
+    secret_name = os.environ['AWS_SECRET_NAME']
+
+    # Create a Secrets Manager client
+    session = boto3.session.Session()
+    client = session.client(
+        service_name='secretsmanager'
+    )
+
+    try:
+        get_secret_value_response = client.get_secret_value(
+            SecretId=secret_name
+        )
+    except ClientError as client_error:
+        # For a list of exceptions thrown, see
+        # https://docs.aws.amazon.com/secretsmanager/latest/apireference/API_GetSecretValue.html
+        raise client_error
+
+    # Decrypts secret using the associated KMS key.
+    secret = get_secret_value_response['SecretString']
+
+    # Your code goes here.
+    secret_dict = json.loads(secret)
+
+    for key, value in secret_dict.items():
+        with open(f'envvars/{key}', 'w', encoding='utf-8') as open_file:
+            print(f'writing {key}')
+            open_file.write(value)
+
+get_secret()
+```
+
+Install boto3 and python-dotenv.
+```
+$ pip install boto3
+
+$ pip install python-dotenv
+```
+
+Create a directory by the name envvars.
+```
+$ mkdir envvars
+```
+
+Run the code.
+```
+$ python3 retrieve_secret.py 
+writing HDB_ADMIN_USERNAME
+writing HDB_ADMIN_PASSWORD
+```
+
+This should have created two files in the envvars directory.
+```
+$ ls envvars/
+HDB_ADMIN_PASSWORD  HDB_ADMIN_USERNAME
+
+$ cat envvars/HDB_ADMIN_USERNAME; echo
+admin
+
+$ cat envvars/HDB_ADMIN_PASSWORD; echo
+password
+```
+
+## Python container
+We would now test the previous scenario with a container, for which we need to containerize our code first. Let's write the dockerfile.
+```
+$ cat dockerfile 
+FROM python
+RUN pip install boto3
+RUN pip install python-dotenv
+WORKDIR /app
+COPY retrieve_secret.py ./
+CMD [ "python", "retrieve_secret.py" ]
+```
+
+We can build the image now.
+```
+$ docker build -t retrieve_secret .
+```
+
+Remove the contents inside envvars directory.
+```
+$ rm envvars/*
+```
+
+Run the container and see if it works.
+```
+$ docker run --env-file .env -v $PWD/envvars:/app/envvars retrieve_secret
+writing HDB_ADMIN_USERNAME
+writing HDB_ADMIN_PASSWORD
+```
+
+There should be files again in the envvars directory.
+```
+$ ls envvars/
+HDB_ADMIN_PASSWORD  HDB_ADMIN_USERNAME
+```
+
+## Kubernetes
+Since we have tested the creation of envvars as files with a docker container, we could use that as an init container in a Pod. The envvars files it creates could be used by the harperdb container through a shared volume.
+
+First I am going to tag the local image, and push it to docker hub. So that I can pull that in the pod's container. I would be using my docker id here, and I am already logged in.
+```
+$ docker tag retrieve_secret s1405/retrieve_secret
+$ docker push s1405/retrieve_secret
+```
+
+Let's create a secret object with our `.env` file.
+```
+$ kubectl create secret generic aws-vars --from-env-file=.env
+secret/aws-vars created
+
+$ kubectl get secret aws-vars -o jsonpath={.data} | jq
+{
+  "AWS_ACCESS_KEY_ID": "QUtJQTRJUkNXUVFBMjVFNFE3T0M=",
+  "AWS_DEFAULT_OUTPUT": "dGV4dA==",
+  "AWS_DEFAULT_REGION": "YXAtc291dGgtMQ==",
+  "AWS_SECRET_ACCESS_KEY": ,
+  "AWS_SECRET_NAME": "SGRiQ3JlZHM="
+}
+```
+
+We can attach these as env vars in our init container.
+
+Here is our pod manifest:
+```
+$ cat harperdb.yaml 
+apiVersion: v1
+kind: Pod
+metadata:
+  name: harperdb
+spec:
+  initContainers:
+  - name: fetch-secrets
+    image: s1405/retrieve_secret
+    envFrom:
+    - secretRef:
+        name: aws-vars
+    volumeMounts:
+    - name: envvars
+      mountPath: /app/envvars
+  containers:
+  - name: harperdb
+    image: harperdb/harperdb
+    volumeMounts:
+    - name: envvars
+      mountPath: /app/envvars
+  volumes:
+  - name: envvars
+    emptyDir: {}
+```
+
+I am on a docker desktop based kubernetes cluster, the pod manifest can be applied on it.
+```
+$ kubectl config current-context 
+docker-desktop
+
+$ kubectl apply -f harperdb-pod.yaml
+
+$ kubectl get po -w
+NAME       READY   STATUS     RESTARTS   AGE
+harperdb   0/1     Init:0/1   0          5s
+harperdb   0/1     PodInitializing   0          5s
+harperdb   1/1     Running           0          8s
+^C
+```
+
+The pod is running. Let's check the pod for the variables
+```
+$ kubectl exec -it -c harperdb harperdb -- printenv | grep HDB
+HDB_ADMIN_USERNAME=HDB_ADMIN
+HDB_ADMIN_PASSWORD=password
+```
+
+All good. So, we have reached the end of the post, let's finish it off with a summary.
+ 
+## Summary
+So we have seen the procedure involved in storing the HarperDB secrets in AWS, assigning the required IAM, retrieving those secrets via the aws cli and then with python locally. We then containerized our python code, tried the exerices with both docker and kubernetes. Here, we have used the built in env vars of HarperDB to setup the credentials, you may check this [link](https://www.harperdb.io/post/harperdb-authentication-with-aws-cognito) if you are looking to integrate AWS cognito with HarperDB for authentication. Thank you for reading :)
diff --git a/_posts/2023-06-13/2023-06-13-deploy-harperdb-on-rosa-red-hat-openshift-service-on-aws.md b/_posts/2023-06-13/2023-06-13-deploy-harperdb-on-rosa-red-hat-openshift-service-on-aws.md
new file mode 100644
index 0000000..790ef1c
--- /dev/null
+++ b/_posts/2023-06-13/2023-06-13-deploy-harperdb-on-rosa-red-hat-openshift-service-on-aws.md
@@ -0,0 +1,325 @@
+---
+canonical_url: "https://dev.to/aws-builders/deploy-harperdb-on-rosa-red-hat-openshift-service-on-aws-4jge"
+date: "2023-06-13"
+title: "Deploy HarperDB on ROSA (Red Hat OpenShift Service on AWS)"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fcontainer"
+tags: "aws, harperdb, kubernetes, openshift"
+categories: "aws, harperdb, kubernetes, openshift"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/deploy-harperdb-on-rosa-red-hat-openshift-service-on-aws-4jge)**
+
+In this post, we would be deploying HarperDB on ROSA (Red Hat OpenShift Service on AWS). Let's begin with the steps.
+
+Before you begin, ensure you have installed and configured the AWS CLI. Instructions are [here](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html).
+
+## Enable ROSA
+
+ROSA should be enabled on the AWS console as shown in the screenshot below.
+![Enable ROSA](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zxw65da7dft3z9uu5l67.png)
+
+And then, click on `Continue to Red Hat` at the bottom of the page.
+![Continue to RedHat](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y66k0be98pb52yqw1cnv.png)
+
+This should take you to a page where you can view the terms and conditions and accept, with a RedHat login.
+
+## Download the binaries
+Go to the OpenShift [downloads](https://console.redhat.com/openshift/downloads) page and download the [rosa](https://docs.openshift.com/rosa/rosa_cli/rosa-get-started-cli.html#rosa-setting-up-cli_rosa-getting-started-cli) cli.
+![Download rosa cli](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/h8rl77r47a8t9wspg864.png)
+
+Extract the contents from the archive, and remove the archive.
+
+```bash
+$ cd Downloads 
+$ tar xvf rosa-macosx.tar.gz
+$ rm rosa-macosx.tar.gz
+```
+
+Move the extracted binary to one of the directories in PATH. I am using /usr/local/bin.
+
+```bash
+$ sudo mv rosa /usr/local/bin/.
+```
+
+Check if it's installed properly.
+
+```bash
+$ rosa version
+1.2.22
+I: Your ROSA CLI is up to date.
+```
+
+Similarly, download the oc CLI.
+![Download oc CLI](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/w5x7ksnkkcagfku8up4m.png)
+
+```bash
+$ cd ~/Downloads
+
+$ tar xvf openshift-client-mac.tar.gz 
+x README.md
+x oc
+x kubectl
+```
+
+I already have kubectl in my system, so I would only move the oc binary.
+
+```bash
+$ rm README.md 
+$ rm kubectl 
+$ rm openshift-client-mac.tar.gz 
+$ sudo mv oc /usr/local/bin/.
+```
+
+If it's a Mac, go to Security settings and allow oc to be run.
+![Allow oc cli on mac](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6wea7uhkfept2iwyle70.png)
+
+Check the version to see if it's installed properly.
+```bash
+$ oc version
+Client Version: 4.13.1
+Kustomize Version: v4.5.7
+Kubernetes Version: v1.25.2
+```
+
+## API token
+
+Go to the URL https://console.redhat.com/openshift/token/aws and load the token.
+![Load API token for rosa](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rgnweu1gwffo66es5388.png)
+
+Copy the token from the next step, and set it as a variable. Note that you need to paste the token in the next line after the read command.
+```bash
+$ read -s ROSA_TOKEN
+$
+```
+
+Login with this token. 
+```bash
+$ rosa login --token $ROSA_TOKEN
+```
+Note that it didn't work for me with just setting the variable ROSA_TOKEN, hence I had to login with the --token option
+
+## Validate
+Verify permissions and quota in AWS.
+```bash
+$ rosa verify permissions
+I: Verifying permissions for non-STS clusters
+I: Validating SCP policies...
+I: AWS SCP policies ok
+
+$ rosa verify quota
+I: Validating AWS quota...
+E: Insufficient AWS quotas
+E: Service quota is insufficient for the following service quota codes:
+- Service ec2 quota code L-1216C47A Running On-Demand Standard (A, C, D, H, I, M, R, T, Z) instances not valid, expected quota of at least 100, but got 64
+```
+
+The quota is insufficient, so we can increase it. Go to Service Quotas > AWS services > EC2 and select Running On-Demand Standard instances as shown below.
+![Search for EC2 quotas](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1r20x1kwot9rk53i4oz8.png)
+
+On the next page, change the quota to 100 and request an increase.
+![Increase EC2 quota](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ii9hkq9f00y1e2pnnk43.png)
+
+A support case should be automatically created, and it might take up to 30 minutes for the new quota to reflect as per the message below.
+![Confirmation message for EC2 quota increase](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/10t2v1npw9zszlzw8kdl.png)
+
+Once the quota is granted, `rosa verify quota` should be successful.
+```bash
+$ rosa verify quota
+I: Validating AWS quota...
+I: AWS quota ok. If cluster installation fails, validate actual AWS resource usage against https://docs.openshift.com/rosa/rosa_getting_started/rosa-required-aws-service-quotas.html
+```
+
+## Provision the cluster
+Do an init first, for the validation.
+```bash
+$ rosa create cluster --cluster-name='hdb-rosa-clstr'
+E: Failed to create cluster: The maximum number of VPCs has been reached
+```
+
+I first got an error that the maximum number of VPCs has been reached, there were 5, so I deleted the unwanted VPCs, and ran the command again.
+```bash
+$ rosa create cluster --cluster-name='hdb-rosa-clstr'
+Details Page:               https://console.redhat.com/openshift/details/s/2R2oUbagDXdMV1pWbSftXIzclea
+```
+
+Also, note that the cluster name must not contain more than 15 characters.
+
+Fine, our cluster is ready. We can add the admin user.
+```
+$ rosa create admin -c hdb-rosa-clstr
+```
+
+Copy and run the oc login command from the output.
+```
+$ oc login https://api.hdb-rosa-clstr.0h87.p1.openshiftapps.com:6443 --username cluster-admin --password Uzrkx-IJE3a-xky3s-SodfM
+Login successful.
+
+You have access to 103 projects, the list has been suppressed. You can list all projects with 'oc projects'
+
+Using project "default".
+```
+
+You can see the list of nodes with oc.
+```
+$ oc get nodes
+NAME                                          STATUS   ROLES                  AGE     VERSION
+ip-10-0-135-59.ap-south-1.compute.internal    Ready    worker                 7h22m   v1.26.3+b404935
+ip-10-0-143-8.ap-south-1.compute.internal     Ready    infra,worker           7h9m    v1.26.3+b404935
+ip-10-0-164-209.ap-south-1.compute.internal   Ready    infra,worker           7h9m    v1.26.3+b404935
+ip-10-0-213-140.ap-south-1.compute.internal   Ready    worker                 7h25m   v1.26.3+b404935
+ip-10-0-221-178.ap-south-1.compute.internal   Ready    control-plane,master   7h32m   v1.26.3+b404935
+ip-10-0-228-159.ap-south-1.compute.internal   Ready    control-plane,master   7h32m   v1.26.3+b404935
+ip-10-0-251-121.ap-south-1.compute.internal   Ready    control-plane,master   7h32m   v1.26.3+b404935
+```
+
+You can check this on the EC2 console too, where it gives the names.
+![List of EC2 rosa instances](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/79aoxelqm0np561jfdgj.png)
+
+
+## Deploy HarperDB
+We will first add a new project.
+```bash
+$ oc new-project harperdb
+```
+
+We can use kubernetes native manifests to deploy with oc. For which we can clone the manifests repo.
+```bash
+$ git clone https://github.com/HarperDB-Add-Ons/harperdb-deployments.git
+```
+
+In OpenShift, by default the user set on Dockerfile, is not considered, it would run with a different project default userid which is somewhat bigger like 1000610000 . In the case of HarperDB image it uses the notroot user harperdb with userid 1000 in docker.
+```bash
+$ docker run -it harperdb/harperdb bash
+harperdb@6b19c2abbebc:~$ id
+uid=1000(harperdb) gid=1000(harperdb) groups=1000(harperdb)
+```
+
+So we can let the container in OpenShift also use the same uid as set in Dockerfile.
+```bash
+$ oc adm policy add-scc-to-group anyuid system:authenticated
+```
+
+We can now apply the Kubernetes manifests with oc.
+```bash
+$ cd harperdb-deployments/kubernetes-manifests
+$ oc apply -f .
+```
+
+The pod should be running.
+```bash
+
+$ oc get po
+NAME                        READY   STATUS    RESTARTS   AGE
+harperdb-5597447d8b-fqzg7   1/1     Running   0          2m58s
+```
+
+Retrieve the HarperDB API endpoint.
+```bash
+$ HDB_SVC_HOSTNAME=$(oc get svc harperdb -o jsonpath='{.status.loadBalancer.ingress[0].hostname}')
+
+$ HDB_SVC_PORT=$(oc get svc harperdb -o jsonpath='{.spec.ports[0].port}')
+
+$ HDB_API_ENDPOINT=$HDB_SVC_HOSTNAME:$HDB_SVC_PORT
+```
+
+We can now test schema creation with curl.
+```bash
+$ curl --location --request POST $HDB_API_ENDPOINT \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data-raw '{
+    "operation": "create_schema",
+    "schema": "hdb_rosa_schema" 
+}'
+
+{"message":"schema 'hdb_rosa_schema' successfully created"}
+```
+
+## Persistence
+Let's test persistence, we shall delete the pod and when the new pod comes, we'd see if the schema we created exists.
+```bash
+$ oc delete po --all
+pod "harperdb-5597447d8b-fqzg7" deleted
+
+$ oc get po
+NAME                        READY   STATUS    RESTARTS   AGE
+harperdb-5597447d8b-cc4jt   1/1     Running   0          54s
+```
+
+A new pod is now running, we can check the list of schemas with curl.
+```bash
+$ curl --location $HDB_API_ENDPOINT \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data '{
+    "operation": "describe_all"
+}'
+{"hdb_rosa_schema":{}}
+```
+
+## OpenShift Image
+So far we tested HarperDB deployment on OpenShift with the [harperdb/harperdb](https://hub.docker.com/r/harperdb/harperdb) image on the docker hub. We can now try with the [harperdb/harperdb-openshift](https://hub.docker.com/r/harperdb/harperdb-openshift) image. This [link](https://catalog.redhat.com/software/containers/harperdb/harperdb-openshift/6467f6a2cb06b902b80aac37?container-tabs=gti) also has details about the image.
+
+Just change the image section of the deployment manifest and apply it again with oc.
+```bash
+$ cat deploy.yaml | grep image:     
+        image: harperdb/harperdb-openshift:4.1.0
+
+$ oc apply -f .
+```
+
+The new harperdb pod with openshift image should be running.
+```bash
+$ oc get pods   
+NAME                        READY   STATUS    RESTARTS      AGE
+harperdb-757579fb58-l46sc   1/1     Running   2 (39s ago)   88s
+```
+
+This image has a slightly different user than the previous image.
+```bash
+$ oc rsh harperdb-757579fb58-l46sc     
+sh-5.1$ id
+uid=1001(default) gid=0(root) groups=0(root),1000
+```
+
+The schema should still be existing here.
+```bash
+$ curl --location $HDB_API_ENDPOINT \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data '{
+    "operation": "describe_all"
+}'
+{"hdb_rosa_schema":{}}
+```
+
+We can add a table in this schema.
+```bash
+$ curl --location $HDB_API_ENDPOINT \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data '{ "operation": "create_table", "schema": "hdb_rosa_schema", "table": "hdb_schema_table", "hash_attribute": "id" }'
+{"message":"table 'hdb_rosa_schema.hdb_schema_table' successfully created."}
+```
+
+Delete the pod and test persistence, this time describe all.
+```bash
+$ curl --location $HDB_API_ENDPOINT \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Basic YWRtaW46cGFzc3dvcmQxMjM0NQ==' \
+--data '{
+    "operation": "describe_all"
+}'
+{"hdb_rosa_schema":{"hdb_schema_table":{"__createdtime__":1686484996114.1133,"__updatedtime__":1686484996114.1133,"hash_attribute":"id","id":"a71a415d-199b-41ce-86a8-3c336850ea67","name":"hdb_schema_table","residence":null,"schema":"hdb_rosa_schema","attributes":[{"attribute":"__createdtime__"},{"attribute":"__updatedtime__"},{"attribute":"id"}],"clustering_stream_name":"1e79fdbec80f4ab386755f827fb8863b","record_count":0}}}
+```
+
+## Clean up
+Delete the cluster with rosa cli.
+```bash
+$ rosa delete cluster -c hdb-rosa-clstr
+? Are you sure you want to delete cluster hdb-rosa-clstr? Yes
+I: Cluster 'hdb-rosa-clstr' will start uninstalling now
+I: To watch your cluster uninstallation logs, run 'rosa logs uninstall -c hdb-rosa-clstr --watch'
+```
+
+## Summary
+So we saw some information about the rosa, oc CLIs, setting them up and getting the prerequisites ready before launching the cluster. We then launched the cluster and deployed HarperDB on it with both the usual HarperDB image and the OpenShift specific one and tested the endpoints. Thank you for reading !!!
diff --git a/_posts/2023-10-16/2023-10-16-grafana-on-aws-marketplace.md b/_posts/2023-10-16/2023-10-16-grafana-on-aws-marketplace.md
new file mode 100644
index 0000000..bfd66f7
--- /dev/null
+++ b/_posts/2023-10-16/2023-10-16-grafana-on-aws-marketplace.md
@@ -0,0 +1,88 @@
+---
+canonical_url: "https://dev.to/aws-builders/grafana-on-aws-marketplace-3189"
+date: "2023-10-16"
+title: "Grafana on AWS Marketplace"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fchart"
+tags: "aws, devops, sre, cloud"
+categories: "aws, devops, sre, cloud"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/grafana-on-aws-marketplace-3189)**
+
+Hi there :wave:, We will see how to launch Grafana cloud from [AWS](https://grafana.com/products/cloud/marketplaces/aws-marketplace/) in an easy way, with no installation etc. Cool thing is it comes with a free trial :sunglasses: which should help us play on Grafana and learn about it's various visualization styles. In this post, we won't be building any graphs, to start with, we would just see a basic panel type which would help us creating links to other dashboards.
+
+## Marketplace
+Let's see how to launch Grafana from AWS Marketplace.
+![Marketplace icon](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/urbu59pr3qsgo754bduk.png)
+ Goto market place and click on discover products.
+![Discover products link](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ggblgvdqlepz8xp01hcs.png)
+
+Search for grafana cloud and click on the appropriate link.
+![Grafana cloud](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/z7qprjr84jua77bloj76.png)
+
+There is a free trial option, so I am clicking on Try for Free and Create Contract in the next step.
+
+Clicking on Setup your Account would redirect to Grafana cloud URL where we can signup or link an existing account and create an organization. I have linked my existing account and chosen an existing organization.
+
+Alright, we are all set to get started. You should be on the grafana organization URL with this format `https://grafana.com/orgs/`. On this page, click Add Stack to add your first stack.
+![Add stack](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/uzud3z3srd83k4k7h2gj.png)
+
+You can choose an instance URL and region for your stack. It should take a few minutes for the stack to launch. Your stack should have an instance URL in this format `https://.grafana.net`. You may sign in to this instance to see a page like this:![Grafana cloud](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tb2lfs7m3xyw58b62uov.png)
+
+## Folder
+Let's go to `Home > Dashboards` and create new folder with name `dummy-folder`.
+![New folder](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/akfwn38dlb5j0su4y77b.png)
+
+Inside this folder I am going to create a new dashboard.
+![New dashboard](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/glxjghjipwwbg04vv2fq.png)
+Goto settings name it `dummy-dashboard-1` and give it a tag `kubernetes`.
+![Name and tag dashboard](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7zh05mgomy492mataxf8.png)
+Then, save the dashboard.
+
+Go back to the folder and create other dashboards similarly so that you have the following dashboards with tags `kubernetes`, `kafka` and `sql`:
+![List of dashboards](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dbaniuxr2rwrgay4q5rb.png)
+
+## Dashboard list
+Goto `Home > Dashboards` and Create a new dashboard. Close the datasource selection window and click `Add a visualization`. Choose Dashboard List as the visualization type on the top right corner.
+![Choose Dashboard list](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/okjfu2vg7lo69qalr5n8.png)
+
+Give the panel a title such as `dashboard-list-all`.
+![Panel title](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pi9mnn5khcxjqmlqgxi9.png)
+
+Scroll down, enable the `search` option, choose the folder as `dummy-folder` and leave the tags option empty like below.
+![No tags selected](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5sg6xtlydlncdvzvasxm.png)
+
+On the preview window on the left, it should show all the dashboards in the `dummy-folder`.
+![All dashboards](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/z444a4wn22gvmiaoeo4c.png)
+
+Save the panel, and save the dashboard with the name `dashboard-list`. You should see something like this:
+![dashboard list all panel](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/q6pzrlzpyujevd8viq0u.png)
+
+Click on the three dots on the panel, and duplicate the panel by clicking on the appropriate option like shown below.
+![Duplicate panel](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zjhxd69da2swcaxmh7ne.png)
+
+Click on the three dots on the new panel, and edit it.
+![Edit panel](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0vncs9ozivwxxdsk5khg.png)
+
+Give this new panel, the title `dashboard-list-kubernetes` and add a tag `kubernetes`.
+![Kubernetes tag](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xjpg505ltlh6rrpvlnkn.png)
+
+Easy enough, the preview should now only show dashboards that are tagged with `kubernetes`, i.e. dashboards 1 to 3.
+![dashboard list for kubernetes](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mkkj6koovf0zbwicn0n7.png)
+
+Save the panel and repeat the steps for `kafka` and `sql`. So, finally you should see something like below.
+![All panels](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/eqme3cvw6kgqrio76p6u.png)
+
+## About tags
+One thing to note, the tags we add in the panel are searched with `AND` condition. Meaning you will not see any dashboards if you added multiple tags like `kubernetes`, `kafka`, `sql`. Because, each of our dashboards had only one tag. For this purpose let's add a 10th dashboard with all 3 tags inside the `dummy-folder`.
+![dashboard with all 3 tags](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y1j31aivbvbqoz6ks915.png)
+
+And edit the dashboard-list-all panel to search for these 3 tags.
+![dashboard-list-all-panel](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/q4ihcwspz5tztkk4yae6.png)
+
+![tags in dashboard list all](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vb362xt6no5tejffl0zr.png)
+
+The dashboard should now look like this.
+![Final dashboard](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rpxtsar0zqcblqi41a4z.png)
+
+## Summary
+So we have to seen how to launch Grafana cloud from AWS as a subscription, with free trial. Built some dummy dashboards on Grafana cloud and saw how to build panels with visualization type `Dashboard list` with the search folder and tags option, and played a bit with the tags.
diff --git a/_posts/2023-10-16/2023-10-16-m-l-learning-byte-load-split-and-scale-data.md b/_posts/2023-10-16/2023-10-16-m-l-learning-byte-load-split-and-scale-data.md
new file mode 100644
index 0000000..098f956
--- /dev/null
+++ b/_posts/2023-10-16/2023-10-16-m-l-learning-byte-load-split-and-scale-data.md
@@ -0,0 +1,472 @@
+---
+canonical_url: "https://dev.to/aws-builders/ml-learning-byte-load-split-and-scale-data-1n31"
+date: "2023-10-16"
+title: "M/L Learning Byte: Load, Split and Scale Data"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fdatascience"
+tags: "machinelearning, datascience, python, aws"
+categories: "machinelearning, datascience, python, aws"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/ml-learning-byte-load-split-and-scale-data-1n31)**
+
+Let's play with some data in Pandas. I am using a notebook for this purpose that's created inside a Notebook instance in Amazon SageMaker. This post contains some of the preliminary steps we would do before creating or training a model.
+
+![Amazon SageMaker Icon](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/k4yci3ph4xlqehmvljs0.png)
+
+In my case the notebook instance was created with just the default settings.
+![Create notebook instance button](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/f89how5e05vs216eob16.png)
+
+Note that the notebook name should not be in snakecase(for ex. note_book is invalid), just saying as it's common to name variables or files in snakecase format in python.
+
+Click on JupyterLab once the notebook instance is created.
+![Open JupyterLab link](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g0idy8qkn9din9o3u4i1.png)
+
+Inside jupyter lab, create a new notebook, I have clicked on the tensorflow conda environment in the launcher.![TensorFlow Conda environment](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/z4x5ca2y2ha8x3tcdwzk.png)
+
+
+
+Let's get started...
+
+We are going to create a dataframe in Pandas that should hold the following data:
+
+| Age (years) | Income (thousands) | Hours_Worked | Salary (thousands) |
+|-------------|--------------------|--------------|---------------------|
+| 32          | 45                 | 50           | 70                |
+| 41          | 50                 | 45           | 80                |
+| 28          | 30                 | 60           | 60                |
+| 35          | 38                 | 55           | 75                |
+| 45          | 60                 | 42           | 90                |
+| 29          | 32                 | 48           | 65                |
+| 37          | 40                 | 35           | 75                |
+| 42          | 55                 | 47           | 85                |
+| 36          | 48                 | 38           | 80                |
+| 31          | 35                 | 52           | 70                |
+
+## Dictionary
+For this, we would create a dictionary in Python with keys as the column names and wrap that [dictionary](https://www.youtube.com/watch?v=7Rrt7-rnyxM&t=3595s) in the Pandas DataFrame object.
+
+
+```python
+import pandas as pd
+
+salary_dict = {
+    'Age (years)': [32, 41, 28, 35, 45, 29, 37, 42, 36, 31],
+    'Income (thousands)': [45, 50, 30, 38, 60, 32, 40, 55, 48, 35],
+    'Hours_Worked': [50, 45, 60, 55, 42, 48, 35, 47, 38, 52],
+    'Salary (thousands)': [70, 80, 60, 75, 90, 65, 75, 85, 80, 70]
+}
+
+salary_df = pd.DataFrame(salary_dict)
+```
+
+Let's print this dataframe
+
+
+```python
+print(salary_df)
+```
+
+       Age (years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    0           32                  45            50                  70
+    1           41                  50            45                  80
+    2           28                  30            60                  60
+    3           35                  38            55                  75
+    4           45                  60            42                  90
+    5           29                  32            48                  65
+    6           37                  40            35                  75
+    7           42                  55            47                  85
+    8           36                  48            38                  80
+    9           31                  35            52                  70
+
+
+Awesome, so it resembles our table, however it also has extra information on the left, which are the indices starting from 0. The last index is 9 which means there are 9+1 = 10 rows. By looking at the data we can say there are 10 rows and 4 columns, we can also get this with the shape attribute, which is useful with big datasets.
+
+
+```python
+print(salary_df.shape)
+```
+
+    (10, 4)
+
+
+## Index
+Instead of the default integer indices, we can also set something meaningful if we would like to, for ex. in this case we could set some random person names as indices. And this time let's print the top5 and last5 rows with head and tail respectively.
+
+
+```python
+person_names = ['Ali', 'Sara', 'Ahmed', 'Emily', 'David', 'Olivia', 'Michael', 'Sophia', 'Aryan', 'Neha']
+
+salary_df_with_custom_indices = pd.DataFrame(
+    salary_dict,
+    index=person_names
+)
+
+print(salary_df_with_custom_indices.head())
+print(salary_df_with_custom_indices.tail())
+```
+
+           Age (years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    Ali             32                  45            50                  70
+    Sara            41                  50            45                  80
+    Ahmed           28                  30            60                  60
+    Emily           35                  38            55                  75
+    David           45                  60            42                  90
+             Age (years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    Olivia            29                  32            48                  65
+    Michael           37                  40            35                  75
+    Sophia            42                  55            47                  85
+    Aryan             36                  48            38                  80
+    Neha              31                  35            52                  70
+
+
+## Series
+We could also create salary separately as a Series, as it's our label(target), and it's a single column. A series is typically used to represent a single list or column. Note that we usually separate features and labels in datasets for the purpose of training in machine learning. We would want our machine learning model to predict labels based on our features. Sometimes it would just be a single label that we want to predict.
+
+
+```python
+salary_series = pd.Series(
+    [70, 80, 60, 75, 90, 65, 75, 85, 80, 70]
+)
+
+print(salary_series.head())
+```
+
+    0    70
+    1    80
+    2    60
+    3    75
+    4    90
+    dtype: int64
+
+
+We could also add custom indices to series, just like we have done for a dataframe, and give the series a name.
+
+
+```python
+salary_series_with_custom_indices = pd.Series(
+    [70, 80, 60, 75, 90, 65, 75, 85, 80, 70],
+    index=person_names,
+    name='Salary (thousands)'
+)
+
+print(salary_series_with_custom_indices.head())
+```
+
+    Ali      70
+    Sara     80
+    Ahmed    60
+    Emily    75
+    David    90
+    Name: Salary (thousands), dtype: int64
+
+
+Instead of displaying the complete table, we can also set how many rows we want to see, for ex. 5. This option not just affects printing dataframes, it also affects other pandas outputs like describe.
+
+
+```python
+pd.set_option('display.max_rows', 5)
+print(salary_df)
+```
+
+        Age (years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    0            32                  45            50                  70
+    1            41                  50            45                  80
+    ..          ...                 ...           ...                 ...
+    8            36                  48            38                  80
+    9            31                  35            52                  70
+    
+    [10 rows x 4 columns]
+
+
+Let's unset this option back.
+
+
+```python
+pd.set_option('display.max_rows', None)
+```
+
+## File
+So far, we added data directly in a dataframe, now let's try reading from a file, that's what we usually do. The file can be remote with a URL or local. We would go local this time, let's add our table in a file `salary.csv`.
+
+
+```python
+%%writefile salary.csv
+Age(years),Income (thousands),Hours_Worked,Salary (thousands)
+32,45,50,70
+41,50,45,80
+28,30,60,60
+35,38,55,75
+45,60,42,90
+29,32,48,65
+37,40,35,75
+42,55,47,85
+36,48,38,80
+31,35,52,70
+```
+
+    Overwriting salary.csv
+
+
+We can create a dataframe out of this and check the column names and shape.
+
+
+```python
+salary_df_from_file = pd.read_csv('salary.csv')
+print(salary_df_from_file.columns)
+print(salary_df_from_file.shape)
+```
+
+    Index(['Age(years)', 'Income (thousands)', 'Hours_Worked',
+           'Salary (thousands)'],
+          dtype='object')
+    (10, 4)
+
+
+We can check the statistical description of this dataframe with the describe method.
+
+```
+print(salary_df_from_file.describe())
+```
+
+```
+       Age(years)  Income (thousands)  Hours_Worked  Salary (thousands)
+count   10.000000           10.000000     10.000000           10.000000
+mean    35.600000           43.300000     47.200000           75.000000
+std      5.738757            9.989439      7.612855            9.128709
+min     28.000000           30.000000     35.000000           60.000000
+25%     31.250000           35.750000     42.750000           70.000000
+50%     35.500000           42.500000     47.500000           75.000000
+75%     40.000000           49.500000     51.500000           80.000000
+max     45.000000           60.000000     60.000000           90.000000
+```
+
+## Index on file
+This time lets add index on the file.
+
+
+
+```python
+%%writefile salary_with_index.csv
+Age(years),Income (thousands),Hours_Worked,Salary (thousands)
+Ali,32,45,50,70
+Sara,41,50,45,80
+Ahmed,28,30,60,60
+Emily,35,38,55,75
+David,45,60,42,90
+Olivia,29,32,48,65
+Michael,37,40,35,75
+Sophia,42,55,47,85
+Aryan,36,48,38,80
+Neha,31,35,52,70
+
+
+```
+
+    Overwriting salary_with_index.csv
+
+
+So we have added person names as indices to all the rows except the first row. This time, we just need to tell Pandas, the first column i.e. column 0 is meant for index with the index_col argument.
+
+
+```python
+salary_df_from_file = pd.read_csv(
+    'salary_with_index.csv',
+    index_col=0
+)
+print(salary_df_from_file.shape)
+print(salary_df_from_file.head())
+```
+
+    (10, 4)
+           Age(years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    Ali            32                  45            50                  70
+    Sara           41                  50            45                  80
+    Ahmed          28                  30            60                  60
+    Emily          35                  38            55                  75
+    David          45                  60            42                  90
+
+
+We could slightly change the file by adding a Name column.
+
+
+```python
+%%writefile salary_with_names.csv
+Name,Age(years),Income (thousands),Hours_Worked,Salary (thousands)
+Ali,32,45,50,70
+Sara,41,50,45,80
+Ahmed,28,30,60,60
+Emily,35,38,55,75
+David,45,60,42,90
+Olivia,29,32,48,65
+Michael,37,40,35,75
+Sophia,42,55,47,85
+Aryan,36,48,38,80
+Neha,31,35,52,70
+```
+
+    Overwriting salary_with_names.csv
+
+
+And we could mention the name column as our index.
+
+
+```python
+salary_df_from_file = pd.read_csv(
+    'salary_with_names.csv',
+    index_col='Name'
+)
+print(salary_df_from_file.shape)
+print(salary_df_from_file.head())
+```
+
+    (10, 4)
+           Age(years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    Name                                                                   
+    Ali            32                  45            50                  70
+    Sara           41                  50            45                  80
+    Ahmed          28                  30            60                  60
+    Emily          35                  38            55                  75
+    David          45                  60            42                  90
+
+
+## Split dataset
+We can split the dataset to two subsets one for training(say 80%, frac=0.8) and one for validatiing(say 20%)
+
+
+```python
+# you can set the argument random_state=0 if you want to see the same training
+# dataframe each time you run the sample method
+train_df = salary_df_from_file.sample(frac=0.8)
+val_df = salary_df_from_file.drop(train_df.index)
+
+print(train_df)
+print(val_df)
+```
+
+             Age(years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    Name                                                                     
+    Olivia           29                  32            48                  65
+    Michael          37                  40            35                  75
+    Neha             31                  35            52                  70
+    Sophia           42                  55            47                  85
+    Sara             41                  50            45                  80
+    Ali              32                  45            50                  70
+    David            45                  60            42                  90
+    Ahmed            28                  30            60                  60
+           Age(years)  Income (thousands)  Hours_Worked  Salary (thousands)
+    Name                                                                   
+    Emily          35                  38            55                  75
+    Aryan          36                  48            38                  80
+
+
+As you see, there is no overalp between the two datasets. Because we dropped the indices of train_df from the original dataframe to get the validation dataset. We can further split these two datasets to features(first 3 columns) and label(last column)
+
+
+```python
+features = ['Age(years)', 'Income (thousands)', 'Hours_Worked']
+label = 'Salary (thousands)'
+
+train_df_features = train_df[features]
+train_series_labels = train_df[label]
+
+val_df_features = val_df[features]
+val_series_labels = val_df[label]
+```
+
+Note that we have retreived features as a dataframe with column names, and labels as a series(single column), the name of the column becomes the name of the series.
+
+
+```python
+print(val_df_features)
+print('-' * 10)
+print(val_series_labels)
+print('-' * 10)
+print(type(val_df_features))
+print(type(val_series_labels))
+```
+
+           Age(years)  Income (thousands)  Hours_Worked
+    Name                                               
+    Emily          35                  38            55
+    Aryan          36                  48            38
+    ----------
+    Name
+    Emily    75
+    Aryan    80
+    Name: Salary (thousands), dtype: int64
+    ----------
+    
+    
+
+
+## Scale and Save
+Let's do some scaling on each feature column and save it as a new dataframe. Note that it's usual to do some scaling or normalization on data when we train models, so that values for each feature fall in a similar range.
+
+
+```python
+# for simplicity, assigning the dataframe to a short variable
+
+def scale(df):
+    # this uses the standard formula for min-max scaling
+    min_max_scaled_df = (df - df.min()) / (df.max() - df.min())
+    return (min_max_scaled_df)
+
+
+scaled_train_df_features = scale(train_df_features)
+scaled_val_df_features = scale(val_df_features)
+
+print(scaled_train_df_features.head())
+print(scaled_val_df_features)
+```
+
+             Age(years)  Income (thousands)  Hours_Worked
+    Name                                                 
+    Olivia     0.058824            0.066667          0.52
+    Michael    0.529412            0.333333          0.00
+    Neha       0.176471            0.166667          0.68
+    Sophia     0.823529            0.833333          0.48
+    Sara       0.764706            0.666667          0.40
+           Age(years)  Income (thousands)  Hours_Worked
+    Name                                               
+    Emily         0.0                 0.0           1.0
+    Aryan         1.0                 1.0           0.0
+
+
+So all the values are now between 0 and 1. We can save this to a new csv file with the to_csv method.
+
+
+```python
+scaled_train_df_features.to_csv('train_features.csv')
+scaled_val_df_features.to_csv('test_features.csv')
+```
+
+Let's view the file content.
+
+
+```python
+!cat train_features.csv
+!cat test_features.csv
+```
+
+    Name,Age(years),Income (thousands),Hours_Worked
+    Olivia,0.058823529411764705,0.06666666666666667,0.52
+    Michael,0.5294117647058824,0.3333333333333333,0.0
+    Neha,0.17647058823529413,0.16666666666666666,0.68
+    Sophia,0.8235294117647058,0.8333333333333334,0.48
+    Sara,0.7647058823529411,0.6666666666666666,0.4
+    Ali,0.23529411764705882,0.5,0.6
+    David,1.0,1.0,0.28
+    Ahmed,0.0,0.0,1.0
+    Name,Age(years),Income (thousands),Hours_Worked
+    Emily,0.0,0.0,1.0
+    Aryan,1.0,1.0,0.0
+
+
+Note that commas are added as delimiter by default.
+
+The files we have created or interacting with should show up in the files pane.
+![Notebook screenshot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zgyt21rr1szaahp16jwb.png)
+
+Alright, that's the ends of this post, so we have seen how to load data with Pandas, split the data and scale the features, which are usually done in a Machine learning lifecycle. Thanks for reading !!!
+
+To avoid billing without usage, ensure you are stopping the notebook instance with the stop option.
+![Stop notebook instance](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3bqpn7wrtfy5hsd5j01d.png)
diff --git a/_posts/2023-10-21/2023-10-21-amazon-grafana-demo-with-eks.md b/_posts/2023-10-21/2023-10-21-amazon-grafana-demo-with-eks.md
new file mode 100644
index 0000000..6c8786f
--- /dev/null
+++ b/_posts/2023-10-21/2023-10-21-amazon-grafana-demo-with-eks.md
@@ -0,0 +1,216 @@
+---
+canonical_url: "https://dev.to/aws-builders/amazon-grafana-demo-with-eks-3mfp"
+date: "2023-10-21"
+title: "Amazon Grafana demo with EKS"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fcolor%26box"
+tags: "sre, devops, aws, kubernetes"
+categories: "sre, devops, aws, kubernetes"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/amazon-grafana-demo-with-eks-3mfp)**
+
+Hello :wave:, in the previous [post](https://dev.to/aws-builders/grafana-on-aws-marketplace-3189), we have seen about Grafana Cloud with an AWS subscription. In this post, we are going to see about Amazon Grafana(which is a fully managed service in AWS), with some demo on couple of metrics collected via Prometheus from EKS. Let's get into action!!!
+
+## Create cluster
+I have created an EKS cluster for the purpose of this exercise. For more info on creating clusters you can see this [video](https://www.youtube.com/watch?v=rJQb_whepEY).
+```
+eksctl create cluster --name grafana-demo-eks --zones=us-east-1a,us-east-1b
+
+aws eks list-clusters
+```
+```
+{
+    "clusters": [
+        "grafana-demo-eks"
+    ]
+}
+```
+
+## Install Prometheus
+We would be fetching metrics with prometheus, hence we can add the helm repo for prometheus on the local system.
+```
+helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo update
+```
+
+Scope to the cluster and create a separate namespace on which we can install prometheus.
+```
+aws eks update-kubeconfig --name grafana-demo-eks
+kubectl create namespace prometheus
+```
+
+The prometheus [chart](https://artifacthub.io/packages/helm/prometheus-community/prometheus) comes with a stack of components, by default. We don't need all of those. For this exercise, we'd  just need the prometheus server and kube-state-metrics. We also don't need persistent volume for this lab. So we can define a values file like below.
+```
+cat < my-values.yaml 
+server:
+  persistentVolume:
+    enabled: false
+alertmanager:
+  enabled: false
+prometheus-pushgateway:
+  enabled: false
+prometheus-node-exporter:
+  enabled: false
+EOF
+```
+
+We can now install a prometheus helm release with the prometheus helm chart.
+```
+helm install prometheus prometheus-community/prometheus -n prometheus -f my-values.yaml 
+```
+
+The status of helm release installation can be checked.
+```
+helm ls -n prometheus 
+```
+
+And the pods should be running.
+```
+kubectl get po -n prometheus
+NAME                                            READY   STATUS    RESTARTS   AGE
+prometheus-kube-state-metrics-59649d78f-249vb   1/1     Running   0          77s
+prometheus-server-547848c6c5-xpzcb              2/2     Running   0          77s
+```
+
+## Access Prometheus
+We can access prometheus via port-forwarding.
+```
+kubectl port-forward svc/prometheus-server 8080:80 -n prometheus
+```
+```
+Forwarding from 127.0.0.1:8080 -> 9090
+Forwarding from [::1]:8080 -> 9090
+```
+Note: you can press `ctrl c` to stop port fowarding...
+
+You should be able to access the prometheus expression browser on `http://localhost:8080`.
+
+Let's try a sample query `kube_apiserver_clusterip_allocator_allocated_ips` with promql.
+![Prometheus expression browser](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jhdas9bbmkclw2d66bcz.png)
+
+So you are seeing a couple of hits, it seems good.
+
+## AMP
+We would now setup Amazon Prometheus. The idea is to forward metrics from the local prometheus we installed previously, to Amazon managed Prometheus.
+![Amazon Prometheus Icon](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lgfu2z9j4szwwp2fdoap.png)
+
+I have created a workspace in Amazon Prometheus, with the name `grafana-demo-k8s`. Once created, it would show you all useful details that are required to rewrite metrics from our local prometheus. Make a note of the remote write URL on this page.
+
+Follow this [link](https://docs.aws.amazon.com/prometheus/latest/userguide/set-up-irsa.html#set-up-irsa-ingest) to set up service roles for the ingestion of metrics from Amazon EKS clusters.
+```
+./createIRSA-AMPIngest.sh 
+```
+
+Setup variables for the AWS account ID and AMP rewrite URL.
+```
+ACCOUNT_ID=
+REMOTE_WRITE_URL=
+```
+
+Update values file with the details of AMP.
+```
+cat < my-values.yaml 
+server:
+  persistentVolume:
+    enabled: false
+  remoteWrite:
+  - url: ${REMOTE_WRITE_URL}
+    sigv4:
+      region: us-east-1
+    queue_config:
+      max_samples_per_send: 1000
+      max_shards: 200
+      capacity: 2500
+alertmanager:
+  enabled: false
+prometheus-pushgateway:
+  enabled: false
+prometheus-node-exporter:
+  enabled: false
+
+serviceAccounts:
+  server:
+    name: "amp-iamproxy-ingest-service-account"
+    annotations:
+      eks.amazonaws.com/role-arn: "arn:aws:iam::${ACCOUNT_ID}:role/amp-iamproxy-ingest-role"
+```
+
+Substitue the variables in the values file and make a new file.
+```
+envsubst < my-values.yaml > my-subst-values.yaml  
+```
+
+Upgrade the helm release with the new values file.
+```
+helm upgrade prometheus prometheus-community/prometheus -n prometheus -f my-subst-values.yaml
+```
+
+## Grafana
+Now let's set up Amazon Grafana.
+![Amazon Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/f4dtxw61ytxr9k2w5504.png)
+
+I am creating a workspace here, with name `grafana-demo-eks`.
+![Create workspace button](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vpy3adsntjx9rw4wch2r.png)
+
+I have selected AWS IAM Identity Center as the authentication method, and created a user with email, first and last name.
+![Setup authentication](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6csnwcm09azg6wqo6h2p.png)
+
+A verification link will be sent to this email using which the password could be set.
+
+I am choosing the same VPC as that of the kubernetes cluster. For the AZs I have choosen the private subnet in both. And, default for the security group.
+![Network settings](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cx4azla8kl99h1e13576.png)
+
+Select the data source as AMP.
+![AMP](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/niivrwpd2q9k1fe8l959.png)
+
+I have kept rest of the settings to their default and created the workspace. One thing I have noted is there were only two availabe versions of Grafana which are 9.4 and 8.4 for now in Amazon Grafana, where as Grafana cloud had the latest version 10.2.0. Once the workspace is created, you should see a `workspace URL` that can be used to access the Grafana portal.
+
+In th worskspace page, under the authentication tab click `Assign new user or group` and select the correct user that was created earlier. Also make the user admin, as by default it will be given the viewer role.
+![Admin role](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bw49d6s0jf5gsq8hjspx.png)
+
+You can login to the workspace URL with the IAM identity email and the password set during email verification.
+![Login to Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/k3obh2rr20uyy3dv2hpq.png)
+
+You should see a page like this:
+![Amazon grafana portal](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9e9fcl6kydknaqakqbo6.png)
+
+## Visualize on Grafana
+Add datasource in Grafana
+Go to `Home > Apps > AWS Data Sources > Data sources` and add the AMP datasource like below.
+![Add datasource](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/17u6kg5bo7z5ibuuxhi7.png)
+
+Let's try adding a panel:bar_chart:. Go to `Home > Dashboards > New Dashboard` and Add a new panel here. Let's try to see the number of pods in each namespace. The query we use for this purpose is `sum(kube_pod_info) by(namespace)`. Note that the legend at the bottom would show that Last null value as configured in the right side of the screenshot below.
+![Pod count per namespace](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/yrw2kcyurva9vj1rj7xd.png)
+ 
+So it says the default namespace has 1 pod, the prometheus namespace has 2 pods, and the kube-system has 10 pods. Let's try validating this with kubectl.
+
+```
+kubectl get po -n default --no-headers | wc -l; kubectl get po -n prometheus --no-headers | wc -l; kubectl get po -n kube-system --no-headers | wc -l
+```
+```
+       1
+       2
+      10
+```
+Awesome, it's matching. I am saving this panel with name `Pod count per namespace`, and given the dashboard the name `grafana-demo-eks`.
+
+Now let's try with one other panel, this time we will see the no. of services by namespace. We can use this query `sum(kube_service_info) by(namespace)`. And instead of the default timeseries visualization, let's try with pie chart. We'll show both value and percent in the pie chart as shown in the screenshot below.
+![Pie chart](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7cfyk3tyuea7qyyub41m.png)
+
+We shall validate this too, with kubectl.
+```
+kubectl get svc -n default --no-headers | wc -l; kubectl get svc -n prometheus --no-headers | wc -l; kubectl get svc -n kube-system --no-headers | wc -l
+```
+```
+       1
+       2
+       1
+```
+
+Cool, the service count per namespace is matching.
+
+Alright, we had some practice with tools like prometheus and grafana in the AWS world with kubernetes. And, we have tried visualizing metrics that are collected by kube-state-metrics. We used prometheus for scraping the metrics from kube-state-metrics, which is ingested to the AMP workspace. We added AMP as a datasource in Grafana to build the panels. So, here is the final look of our 2 panel dashboard.
+![Final dashboard](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/l3g3wp42ca64kkbxw45i.png)
+
+So the AWS resources we have created in this exercise are: An EKS cluster, a grafana workspace, and a prometheus workspace. So make sure you are deleting those when you are done, to avoid billing:moneybag:... For EKS cluster jus do it from the cli: `eksctl delete cluster --name grafana-demo-eks`.
+
+Thanks for reading !!!
diff --git a/_posts/2023-10-23/2023-10-23-m-l-learning-byte-linear-regression.md b/_posts/2023-10-23/2023-10-23-m-l-learning-byte-linear-regression.md
new file mode 100644
index 0000000..b7f040c
--- /dev/null
+++ b/_posts/2023-10-23/2023-10-23-m-l-learning-byte-linear-regression.md
@@ -0,0 +1,312 @@
+---
+canonical_url: "https://dev.to/aws-builders/ml-learning-byte-linear-regression-21f9"
+date: "2023-10-23"
+title: "M/L Learning Byte: Linear Regression"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%2F%3Fmaths"
+tags: "machinelearning, python, jupyter, aws"
+categories: "machinelearning, python, jupyter, aws"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/ml-learning-byte-linear-regression-21f9)**
+
+Hello :wave:, in this post, we shall see the procedures involved in training a simple linear model with Keras API in TensorFlow. Note that we will not optimize the model by training it iteratively with different parameters, we will focus more on some of the standard steps involved. You may check this [post](https://dev.to/aws-builders/ml-learning-byte-load-split-and-scale-data-1n31):page_facing_up: for a refresher on some of the pandas methods we use here. Ready to go!!!
+
+## Sagemaker Studio Lab
+I'll be doing this exercise on the Amazon [Sagemaker Studio Lab](https://studiolab.sagemaker.aws):free:, you can request for an account there and once it's approved you should receive a sign up link, note that the approval expires in 7 days, so you should better signup before that.
+
+I am logging into the studio lab and start a runtime with CPU as the compute type.
+![Start runtime](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qsbl332ee02w9o34qos4.png)
+
+Open the project once the runtime is started. Ensure popups are allowed for this site on your browser. The jupyter lab i.e. the Sagemaker studio lab should be opened.
+
+Click the plus icon next to the Getting Started notebook, to see the launcher. From there, I am launching a notebook:notebook_with_decorative_cover: with the sagemaker-distribution environment.
+![New notebook](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wroe9dz2zio1re5wy5eh.png)
+
+We will be executing code covered in this post, in the notebook we just launched.
+
+## Dataset
+Let's say we have a simple dataset like below(generated with ChatGPT):
+
+| Age (years) | Income (thousands) | Hours_Worked | Salary (thousands) |
+|-------------|--------------------|--------------|---------------------|
+| 32          | 45                 | 50           | 70                |
+| 41          | 50                 | 45           | 80                |
+| 28          | 30                 | 60           | 60                |
+| 35          | 38                 | 55           | 75                |
+| 45          | 60                 | 42           | 90                |
+| 29          | 32                 | 48           | 65                |
+| 37          | 40                 | 35           | 75                |
+| 42          | 55                 | 47           | 85                |
+| 36          | 48                 | 38           | 80                |
+| 31          | 35                 | 52           | 70                |
+
+In easy terms, regression is all about predicting labels/targets(numbers) from one ore more inputs/features(numbers). We say it's linear regression when we could potentially use a linear function to show the relation between the features and labels.
+
+Let's consider `Age, Income and Hours worked` are features and `Salary` is the label that we want to predict. And to start with(baseline) we are assuming this model is linear meaning it should approximately fit a [linear equation](https://en.wikipedia.org/wiki/Linear_algebra)(y = w1x1 + w2x2 + w3x3 + b) meaning you should be able to predict the value of y(Salary) with the values of x1(Age), x2(Income) and x3(Hours_Worked) using the linear equation. However you don't know what the weights(w1, w2, w3) and bias(b) are. That is your model's job to find the best weights and bias, that's when you model is trained or learned.
+
+Usually datasets are quite huge and are loaded from URLs, we have chosen a small dataset here for the purpose of learning the concepts covered in this post in a simpler way.
+
+## File
+Add a file in our studio lab, that represents the dataset in CSV format.
+```
+%%writefile dataset.csv
+Age (years),Income (thousands),Hours_Worked,Salary (thousands)
+32,45,50,70
+41,50,45,80
+28,30,60,60
+35,38,55,75
+45,60,42,90
+29,32,48,65
+37,40,35,75
+42,55,47,85
+36,48,38,80
+31,35,52,70
+```
+```
+Writing dataset.csv
+```
+
+## Data readiness
+Let's load our dataset and shuffle it.
+```
+import pandas as pd
+
+df = pd.read_csv('dataset.csv')
+df = df.sample(frac=1)
+```
+
+Let's add extra columns to the dataframe by min-max scaling each of the features.
+```
+for feature in ['Age (years)', 'Income (thousands)', 'Hours_Worked']:
+    df[f'scaled_{feature}'] = (df[feature] - df[feature].min()) / (df[feature].max() - df[feature].min())
+
+print(df.head(1))
+```
+```
+ Age (years)  Income (thousands)  Hours_Worked  Salary (thousands)  \
+9           31                  35            52                  70   
+
+   scaled_Age (years)  scaled_Income (thousands)  scaled_Hours_Worked  
+9            0.176471                   0.166667                 0.68
+```
+
+We can now split the dataframe into training(80%) and test(20%) dataframes.
+```
+train_df = df.sample(frac=0.8)
+test_df = df.drop(train_df.index)
+```
+
+## Model
+We have the data ready. It's time to create the model.
+
+We will be building a [sequential model](https://www.tensorflow.org/guide/keras/sequential_model) for this purpose with just one layer. That layer will have 3 inputs(features) and 1 output(label).
+```
+import tensorflow as tf
+
+model = tf.keras.Sequential([
+    tf.keras.layers.Dense(units=1, input_shape=[3])
+])
+```
+Note that sequential models are used in Keras when there are a stack of layers with each layer having one input tensor and one output tensor.
+
+A tensor is nothing but TensorFlow's version of a numpy array with more features, which inturn is similar to a list in Python, but with extra attributes/methods.
+
+In our case, it's 3 features how ever it's only one tensor, think of it like a rectangular matrix with 3 columns. Likewise, though it's only one output/label, it's still one tensor(a single column matrix).
+
+We have created the model, initially our model will have random weights and zero bias. Collectively the weight and bias are reffered to as just weights.
+```
+w,b = model.weights
+
+tf.print('Initial weights:', w)
+tf.print('Initial bias:', b)
+```
+```
+Initial weights: [[0.787701]
+ [-0.283494174]
+ [0.238811135]]
+Initial bias: [0]
+```
+
+One things to note. TensorFlow is usually known for *Deep Neural Networks(DNN)*. What we have done still follows the same approach we would rather use for neural networks but our model is not deep it just has 1 layer(depth = 1) and not wide either, just 1 unit in the layer(width = 1). And we do not have any activation functions, which are used when we need non linear functions(for ex. [Rectifier function](https://en.wikipedia.org/wiki/Rectifier_(neural_networks))) to map output with input
+
+## Compile
+Our model's performance could be calcualted based on a loss function. Mean average loss is one such loss functions used with regression. And there should be a way(algorithm) using which we can evaluate this loss, which is nothing but the optimizer. Adam is one populary used optimizer.
+
+Let's compile our model with these settings.
+```
+model.compile(
+    optimizer=tf.keras.optimizers.Adam(),
+    loss='mean_absolute_error'
+)
+```
+
+## Train
+We can finally train(fit) the data and assign it as a variable. We shall keep 20% of the training data as validation data, and determine the loss for each of these sub datasets. I have set verbose as 0, to suppress terminal output while the training happens.
+```
+features = ['scaled_Age (years)', 'scaled_Income (thousands)', 'scaled_Hours_Worked']
+label = 'Salary (thousands)'
+
+history = model.fit(
+    train_df[features],
+    train_df[label],
+    validation_split=0.2,
+    verbose=0
+)
+```
+
+We have done the training, let's see the what the loss is.
+```
+print(history.history)
+```
+```
+{'loss': [78.85342407226562], 'val_loss': [70.26549530029297]}
+```
+
+So the training loss is 79 and the validation loss is 70 approximately. We have a parameter called epoch, that tells for how many full(one full training dataset) iterations did the training happen.
+```
+print(len(history.epoch))
+```
+```
+1
+```
+So by default it's just 1 epoch.
+
+Let's try with epoch as 10.
+```
+history = model.fit(
+    train_df[features],
+    train_df[label],
+    validation_split=0.2,
+    verbose=0,
+    epochs=10
+)
+
+print(history.history)
+```
+```
+{'loss': [78.8173599243164, 78.81478881835938, 78.81220245361328, 78.80962371826172, 78.80704498291016, 78.8044662475586, 78.80188751220703, 78.79930877685547, 78.79672241210938, 78.79415130615234], 'val_loss': [70.24092102050781, 70.23916625976562, 70.23741149902344, 70.23565673828125, 70.23390197753906, 70.23213958740234, 70.23037719726562, 70.22862243652344, 70.22686767578125, 70.22511291503906]}
+```
+
+So this time we see the training and validation losses for 10 epochs. We can access just the final training and validation with the last index.
+```
+print('Final training loss:', history.history['loss'][-1])
+print('Final validation loss:', history.history['val_loss'][-1])
+```
+```
+Final training loss: 78.79415130615234
+Final validation loss: 70.22511291503906
+```
+We can see there is no much improvement in the losses with increasing the epochs. Also, the loss was kinda similar in all the epochs. We will try with a higher value, say 1000 epochs.
+```
+history = model.fit(
+    train_df[features],
+    train_df[label],
+    validation_split=0.2,
+    verbose=0,
+    epochs=1000
+)
+print('done')
+```
+```
+done
+```
+
+As there are 1000 losses each for training and validation, rather than printing, we can try plotting the losses in each epoch.
+```
+import matplotlib.pyplot as plt
+
+plt.plot(history.history['loss'], label='training loss')
+plt.plot(history.history['val_loss'], label='validation loss')
+
+plt.xlabel('Epoch')
+plt.ylabel('Loss')
+
+plt.legend()
+```
+![Plot loss](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/k59lzvp29l75y2c5hnnb.png)
+
+We will see what our final weights and bias are.
+```
+w, b = model.weights
+tf.print(w, b)
+```
+```
+[[1.7877351]
+ [0.716494739]
+ [1.23881245]] [0.999988]
+```
+
+Note that these graphs are not the best, and our example is not the best either, it was quite a small dataset. The aim of this exercise is not to really optimize the training or to get the best loss values, or the weights and bias at which we get the best loss. It was more on knowing the procedures involved in training a simple(one layer, one unit) linear network with TensorFlow.
+
+## Evaluate & Predict
+We'll see a couple more steps, first, we can evaluate our model with the test dataset i.e. we see what's the test loss is.
+```
+model.evaluate(
+    test_df[features],
+    test_df[label],
+    verbose=0
+)
+```
+```
+76.93582153320312
+```
+
+And predict the values for a new dataset that doesn't have labels. Let's add a new file for the prediction dataset.
+```
+%%writefile to_predict.csv
+Age (years),Income (thousands),Hours_Worked
+33,46,49
+38,52,44
+27,28,59
+44,58,43
+30,34,51
+50,70,30
+29,33,47
+34,39,56
+41,54,41
+48,65,36
+```
+```
+Writing to_predict.csv
+```
+
+We can scale the features just like we have done for the training data.
+```
+to_predict = pd.read_csv('to_predict.csv')
+to_predict = (to_predict - to_predict.min()) / (to_predict.max() - to_predict.min())
+```
+
+We can predict now.
+```
+print(model.predict(to_predict))
+1/1 [==============================] - 0s 38ms/step
+[[2.5850587]
+ [2.8624647]
+ [2.2388005]
+ [3.3884692]
+ [2.2325983]
+ [3.5042179]
+ [1.9669406]
+ [2.842394 ]
+ [3.0016134]
+ [3.5197716]]
+```
+
+I know the predictions are bad, it's predicting quite low salaries:dollar: compared to the training set.
+
+## Math
+Let's see the math used in calculating the predictions. We know the final weights and bias are 1.7877351, 0.716494739, 1.23881245, 0.999988. Let's take the first row from to_predict.
+```
+print(to_predict.head(1))
+```
+```
+Age (years)  Income (thousands)  Hours_Worked
+0      0.26087            0.428571      0.655172
+```
+
+Let's do the math with the linear equation. y = w1x1 + w2x2 + w3x3 + b. 
+This becomes y = `1.7877351*0.26087 + 0.716494739*0.428571 + 1.23881245*0.655172 + 0.999988` = `2.585058552816369` This kinda matches with the first entry of predictions(2.5850587).
+
+## Summary
+So we saw some important :star: steps such as creating, training, evaluating and predicting with a model... We could build upon this knowlegde to try regression with a bigger dataset and optimize our model with low losses, fine tune parameters, yield better predictions, which are kinda iterative in nature and are usually implemented with automated workflows i.e. pipelines.
+
+That's it for the post, thanks for reading!!!
diff --git a/_posts/2024-04-26/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md b/_posts/2024-04-26/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md
index 7fe97d6..65f2791 100644
--- a/_posts/2024-04-26/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md
+++ b/_posts/2024-04-26/2023-02-17-query-harperdbs-rest-api-via-apollo-graphql.md
@@ -1,10 +1,10 @@
 ---
-canonical_url: https://dev.to/aws-builders/tracing-demo-with-aws-x-ray-and-grafana-1pb5
-date: 2024-04-26
-title: OTEL Tracing demo with AWS X-Ray and Grafana
-categories: aws, grafana, otel, xray
-cover_image: https://source.unsplash.com/featured?trace
-tags: aws, grafana, kubernetes, otel
+canonical_url: "https://dev.to/aws-builders/tracing-demo-with-aws-x-ray-and-grafana-1pb5"
+date: "2024-04-26"
+title: "OTEL Tracing demo with AWS X-Ray and Grafana"
+categories: "aws, grafana, otel, xray"
+cover_image: "https://source.unsplash.com/featured?trace"
+tags: "aws, grafana, kubernetes, otel"
 ---
 
 **This post first appeared on [dev.to](https://dev.to/aws-builders/tracing-demo-with-aws-x-ray-and-grafana-1pb5)**
diff --git a/_posts/2024-04-26/2024-04-26-otel-tracing-demo-with-adot-aws-x-ray-and-grafana.md b/_posts/2024-04-26/2024-04-26-otel-tracing-demo-with-adot-aws-x-ray-and-grafana.md
new file mode 100644
index 0000000..9016b28
--- /dev/null
+++ b/_posts/2024-04-26/2024-04-26-otel-tracing-demo-with-adot-aws-x-ray-and-grafana.md
@@ -0,0 +1,217 @@
+---
+canonical_url: "https://dev.to/aws-builders/tracing-demo-with-aws-x-ray-and-grafana-1pb5"
+date: "2024-04-26"
+title: "OTEL Tracing demo with ADOT, AWS X-Ray and Grafana"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fsource.unsplash.com%2Ffeatured%3Ftrace"
+tags: "aws, grafana, kubernetes, otel"
+categories: "aws, grafana, kubernetes, otel"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/tracing-demo-with-aws-x-ray-and-grafana-1pb5)**
+
+## Introduction
+Hello :wave:, In this post we'll see about sending traces from a demo app to AWS X-Ray via the ADOT(AWS Distro for OpenTelemetry) collector. We would then visualize this on Grafana. Note that we'd deploy the workloads on a kubernetes cluster.
+
+Here is a picture of what we are trying to accomplish:
+![Block diagram for the lab](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/d79dr2bjzdphe7d2w3de.png)
+
+Alright, let's get started!!!
+
+## Namespace
+We shall deploy the workloads on a separate namespace. Let's create one.
+```
+kubectl create ns adot-traces-demo
+```
+
+## Credentials
+Store the AWS credentials as a kubernetes secret.
+```
+kubectl create secret generic aws-credentials \
+    --from-literal=AWS_ACCESS_KEY_ID= \
+    --from-literal=AWS_SECRET_ACCESS_KEY= \
+    -n adot-traces-demo
+```
+
+## ADOT Config
+Set the ADOT config in a file.
+```
+$ cat adot-config.yaml
+exporters:
+  awsxray:
+    region: ap-south-2
+receivers:
+  otlp:
+    protocols:
+      grpc:
+        endpoint: 0.0.0.0:4317
+service:
+  pipelines:
+    traces:
+      exporters:
+        - awsxray
+      receivers:
+        - otlp
+```
+
+And create a config map with this file.
+```
+kubectl create configmap adot-config --from-file=adot-config.yaml -n adot-traces-demo 
+```
+
+## ADOT Deployment
+Setup deployment spec in a file, that injects the secret we created earlier as environment variables and the configmap as a volume.
+```
+$ cat adot-deploy.yaml 
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  labels:
+    app: adot-collector
+  name: adot-collector
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: adot-collector
+  template:
+    metadata:
+      labels:
+        app: adot-collector
+    spec:
+      containers:
+        - args:
+            - '--config=/etc/adot-config.yaml'
+          envFrom:
+            - secretRef:
+                name: aws-credentials
+          image: public.ecr.aws/aws-observability/aws-otel-collector:latest
+          name: adot-collector
+          volumeMounts:
+            - mountPath: /etc/adot-config.yaml
+              name: config-volume
+              subPath: adot-config.yaml
+      volumes:
+        - configMap:
+            name: adot-config
+          name: config-volume
+```
+
+Create the deployment.
+```
+kubectl create -f adot-deploy.yaml -n adot-traces-demo
+```
+
+The pod in the deployment should be running.
+```
+$ kubectl get po -n adot-traces-demo
+NAME                              READY   STATUS    RESTARTS   AGE
+adot-collector-7cbf849b89-b4bkl   1/1     Running   0          3m26s
+```
+
+## ADOT Service
+We can expose the ADOT deployment with a service spec that exposes the grpc port 4317 as follows.
+```
+$ cat adot-svc.yaml 
+apiVersion: v1
+kind: Service
+metadata:
+  name: adot-collector-service
+spec:
+  selector:
+    app: adot-collector
+  ports:
+    - protocol: TCP
+      port: 4317
+      targetPort: 4317
+```
+
+We can now create the service.
+```
+kubectl create -f adot-svc.yaml -n adot-traces-demo
+```
+
+The endpoint IP should match with the pod IP.
+```
+$ kubectl get ep -n adot-traces-demo
+NAME                     ENDPOINTS         AGE
+adot-collector-service   10.1.3.187:4317   22s
+
+$ kubectl get po -n adot-traces-demo -o wide
+NAME                              READY   STATUS    RESTARTS   AGE     IP           NODE             NOMINATED NODE   READINESS GATES
+adot-collector-7cbf849b89-b4bkl   1/1     Running   0          7m11s   10.1.3.187   docker-desktop              
+```
+
+## Demo app
+We can now deploy the sample demo app which can send traces to ADOT collector, with the following manifest.
+```
+$ cat k6-tracing-deploy.yaml 
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: xk6-tracing
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: xk6-tracing
+  template:
+    metadata:
+      labels:
+        app: xk6-tracing
+    spec:
+      containers:
+        - env:
+            - name: ENDPOINT
+              value: adot-collector-service:4317
+          image: ghcr.io/grafana/xk6-client-tracing:v0.0.2
+          name: xk6-tracing
+```
+
+Let's create the deployment.
+```
+kubectl create -f k6-tracing-deploy.yaml -n adot-traces-demo
+```
+
+Both the ADOT collector and k6-tracing pods should now be running.
+```
+$ kubectl get po -n adot-traces-demo   
+NAME                              READY   STATUS    RESTARTS   AGE
+adot-collector-7cbf849b89-b4bkl   1/1     Running   0          14m
+xk6-tracing-69b48fcfd9-bjzbd      1/1     Running   0          24s
+```
+
+## X-Ray
+We can now headover to AWS X-Ray,  in `ap-south-2` region that we mentioned in the adot-config.
+![Traces in AWS X-Ray](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lzblt5bwa2ikustn0h6h.png)
+
+The nodes(services) shown in the screenshot belong to our demo application. We could filter for traces that passes through a particular service name for ex. article service, like below.
+![Traces ](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/793iwmcy6cl1qweessew.png)
+
+If we click on a single trace we should be able to see a complete service map for that trace, that shows all the services that trace traverses.
+![Service map for a trace](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/37vtbbx0fkowsnpxtjty.png)
+
+If we go a further down on this we should be able to see the details for segments/spans with in this trace.
+![Spans in trace](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ib655esdlfxoxeyr4cac.png)
+
+## Grafana
+So we far we were able to see the traces in AWS X-Ray, we can do a similar exercise on Grafana. I am using a Grafana Cloud Free subscription for this lab.
+
+Go to Connections, Add a new connection and search for X-Ray and install it.
+![Install X-Ray](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lvks2wrj6m13x11lpsxx.png)
+
+You can then go to datasources, add a new X-Ray datasource with the access key id, secret access key, and default region(I have chosen ap-south-2 which matches with adot config).
+
+![Add X-Ray datasource](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5z1wgvj4cuvlb28tuzkj.png)
+
+All good, we can try adding a new panel, go to dashboards > new dashboard and a new visualization with table as panel type and a sample query for ex. `service(id(name: "article-service"  ))`
+![Traces in tabular format](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/o31cgl9cpatnaw8jnhin.png)
+
+We can click on one of the traces we should take us to the explore view where we can see the node graph(service map)
+![Node graph for trace in grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/65b4n0id03356ftff66f.png)
+
+We should also see the trace explorer that shows the individual spans.
+![Trace explorer in Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wikqutl9srogd6t62qm4.png)
+
+Okay so we reached this far, that was some fun exploring traces on AWS and Grafana with Open Telemetry. Thank you for reading !!! 
+
+## CleanUp
+Just delete the namespace with `kubectl delete ns adot-traces-demo` and it should remove the workloads we deployed from kubernetes and stop sending any new data to the cloud.
diff --git a/_posts/2024-05-11/2024-05-11-logging-demo-with-otel-collector-cloudwatch-and-grafana.md b/_posts/2024-05-11/2024-05-11-logging-demo-with-otel-collector-cloudwatch-and-grafana.md
new file mode 100644
index 0000000..f3dae1d
--- /dev/null
+++ b/_posts/2024-05-11/2024-05-11-logging-demo-with-otel-collector-cloudwatch-and-grafana.md
@@ -0,0 +1,90 @@
+---
+canonical_url: "https://dev.to/aws-builders/logging-demo-with-otel-collector-cloudwatch-and-grafana-53l4"
+date: "2024-05-11"
+title: "Logging demo with OTEL Collector, CloudWatch and Grafana"
+tags: "aws, monitoring, kubernetes, cloudnative"
+categories: "aws, monitoring, kubernetes, cloudnative"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/logging-demo-with-otel-collector-cloudwatch-and-grafana-53l4)**
+
+Hello :wave:, in this post, we would be using the OTEL Demo App with OpenTelemetry Collector and export the logs from the microservices in the app to AWS CloudWatch.
+
+Let's get started!!! We can create a separate namespace in the kubernetes cluster with `kubectl create ns otelcol-logs-demo`.
+
+And then create a secret that holds the AWS credentials.
+```
+kubectl create secret generic aws-credentials \
+    --from-literal=AWS_ACCESS_KEY_ID= \
+    --from-literal=AWS_SECRET_ACCESS_KEY= \
+    -n otelcol-logs-demo
+```
+
+We would be deploying open telemetry demo app, otel collector as well as Grafana with a single helm [chart](https://artifacthub.io/packages/helm/opentelemetry-helm/opentelemetry-demo). The chart comes with other components too, we could disable those that we do not need for this lab. Our helm values would like below.
+```
+$ cat values.yaml 
+opentelemetry-collector:
+  config:
+    exporters:
+      awscloudwatchlogs:
+        log_group_name: otel-logs-demo
+        log_stream_name: otel-demo-app
+        region: ap-south-2
+    service:
+      pipelines:
+        logs:
+          exporters:
+            - awscloudwatchlogs
+        metrics: {}
+        traces: {}
+  extraEnvsFrom:
+    - secretRef:
+        name: aws-credentials
+prometheus:
+  enabled: false
+jaeger:
+  enabled: false
+opensearch:
+  enabled: false
+```
+In the values above, we have the cloudwatchlogs exporter section where we specify the region, log group and stream names. We are only setting up logs in the pipeline as we are only dealing with that for this demo. We are then setting the AWS credentials via env vars so that the collector could authenticate and send logs to cloud watch. Then, finally we are disabling certain applications which we do not need for this exercise.
+
+Let's install the chart.
+```
+helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts
+
+helm install my-otel-demo open-telemetry/opentelemetry-demo -n otelcol-logs-demo -f values.yaml
+```
+ 
+Head over to CloudWatch logs in the mentioned region and you should be able to see the log group. And, inside the log group we should have the stream.
+
+We should be able to view the logs, for ex. from cartservice as shown in the screenshot below.
+![Logs in console](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lybmwuqzylq4c76grlsv.png)
+
+We can now go to Grafana cloud and add the cloud watch datasource with access credentials.
+![CloudWatch datasource in Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ant4ggluzt0xsp53fgck.png)
+
+And should now be able to see the logs in Grafana for our log group, on the explore tab.
+![Logs in Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/u51cdwvf291792ojdk9q.png)
+
+As a bonus let's try adding a panel that shows the no. of messages per severity.
+
+Add a panel with query as shown in the screenshot below.
+![Query in panel for logs](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/d3qa20xo889bzpah1pcj.png)
+
+Go to the transform data tab and apply a transformation to parse the severity_text from the json message.
+![JSON transformation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/467gg6pjgpnf0j6gfbgv.png)
+
+And then do a group by transformation to calculate the no. of messages per severity.
+![Group by transformation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/raaubd4k51hs43nlv75q.png)
+
+Can choose a visualization type such as pie chart like below.
+![Pie chart showing log count by severity](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/84wsbwn6zh65a8oaxxuw.png)
+
+The options I have set in the panel are as follows:
+```
+Title: Logs by severity
+Value options > Show > All values
+Legend > Legend values: Value, Percent
+```
+
+Ok that's it for this post, we saw how to get logs from the otel demo app via open collector to AWS CloudWatch Logs and explored it on Grafana with a sample visualization. We just need to delete the namespace with `kubectl delete ns otelcol-logs-demo` so that logs are not sent to AWS cloudwatch. Thanks for reading !!!
diff --git a/_posts/2024-05-18/2024-05-18-synthetic-monitoring-with-grafana-cloud-and-lambda.md b/_posts/2024-05-18/2024-05-18-synthetic-monitoring-with-grafana-cloud-and-lambda.md
new file mode 100644
index 0000000..6ba9589
--- /dev/null
+++ b/_posts/2024-05-18/2024-05-18-synthetic-monitoring-with-grafana-cloud-and-lambda.md
@@ -0,0 +1,370 @@
+---
+canonical_url: "https://dev.to/aws-builders/synthetic-monitoring-with-grafana-cloud-1n5b"
+date: "2024-05-18"
+title: "Synthetic Monitoring with Grafana Cloud and Lambda"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvvleso6jt686i30pmi1l.png"
+tags: "aws, monitoring, http, javascript"
+categories: "aws, monitoring, http, javascript"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/synthetic-monitoring-with-grafana-cloud-1n5b)**
+
+:clock1:Time for some synthetic monitoring fun with Grafana...:bar_chart: We'd deploy a simple function on AWS Lambda that generates some data. We then expose this function with a public URL which would then be probed with a synthetic test from Grafana cloud servers.
+
+## AWS Lambda
+Create a new AWS lambda function with runtime as nodejs and a name such as `synthetic-monitoring-demo`. Put the following code in `index.js`, which returns data similar to what's returned by this Grafana provided [endpoint](https://test-api.k6.io/public/crocodiles/). We just create a lambda function here so that we could test as required and delete it when done.
+```
+const randomInt = (min, max) => Math.floor(Math.random() * (max - min + 1)) + min
+const randomChoice = (arr) => arr[randomInt(0, arr.length - 1)]
+
+const generateCrocodileData = () => {
+    const names = [
+        "Smiley", "Snappy", "Bitey", "Chompy", "Jaws", "Scaly", "Cruncher", 
+        "Munch", "Gator", "Nibbles", "Swampy", "Toothless", "Grin", "Sly", 
+        "Snapper", "Croc", "Dagger", "Ripjaw", "Spike", "Thrasher"
+    ]
+    const species = [
+        "Saltwater Crocodile", "Nile Crocodile", "Mugger Crocodile", 
+        "American Crocodile", "Freshwater Crocodile", "Morelet's Crocodile", 
+        "Cuban Crocodile", "Siamese Crocodile", "Philippine Crocodile", 
+        "Orinoco Crocodile", "Dwarf Crocodile", "Slender-snouted Crocodile"
+    ]
+
+    return {
+        name: randomChoice(names),
+        species: randomChoice(species),
+        age: randomInt(1, 70),
+        sex: randomChoice(["M", "F"]),
+    }
+}
+
+export const handler = async () => {
+    const numRecords = 8
+    const crocodiles = Array.from({ length: numRecords }, generateCrocodileData)
+    return {
+        statusCode: 200,
+        body: JSON.stringify(crocodiles),
+    }
+}
+```
+
+The crocodile species names were taken via generative AI, so not quite sure if it's correct:wink:. 
+
+Deploy the function, and then create a function URL in the configuration section with auth type as none, so that it could be accessed publicly:earth_africa:.
+![Create function url](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4t2fl4mqsr9tvwgc1z1y.png)
+
+Try accessing the function URL.
+![Access the function url](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/c1dchscxgvnzw0kaarhq.png)
+
+## K6
+The synthetic monitoring in Grafana is based on k6. So we shall try some k6 basics on the local machine first.
+
+[Install](https://grafana.com/docs/k6/latest/set-up/install-k6/) k6.
+```
+brew install k6
+```
+
+The command `k6 new test.js` should create a file with name `test.js` with some references in it. However, for our case we can add a file `test.js` from scratch. Let's first import the functions/modules we need.
+```
+import { check } from 'k6'
+import http from 'k6/http'
+```
+
+We just need to create a function that's exported by default in this code inside which we can try calling the api with http modules's get() function. Let's use the function URL we generated as endpoint for this purpose and try printing the status, response body as an array and length of the returned response array.
+```
+export default function main() {
+  const res = http.get('https://ieaivrjwpcdbuxh4tws5autdoa0sflqi.lambda-url.us-east-1.on.aws/')
+  console.log('The response status is', res.status)
+  console.log('The response array is', res.json())
+  console.log('The length of the response array is', res.json().length)
+}
+```
+
+We could now this run this code with k6 and see the output as well as some test results.
+```
+$ k6 run test.js
+
+          /\      |‾‾| /‾‾/   /‾‾/   
+     /\  /  \     |  |/  /   /  /    
+    /  \/    \    |     (   /   ‾‾\  
+   /          \   |  |\  \ |  (‾)  | 
+  / __________ \  |__| \__\ \_____/ .io
+
+     execution: local
+        script: test.js
+        output: -
+
+     scenarios: (100.00%) 1 scenario, 1 max VUs, 10m30s max duration (incl. graceful stop):
+              * default: 1 iterations for each of 1 VUs (maxDuration: 10m0s, gracefulStop: 30s)
+
+INFO[0001] The response status is 200                    source=console
+INFO[0001] The response array is [{"name":"Chompy","species":"Mugger Crocodile","age":41,"sex":"M"},{"name":"Snappy","species":"Orinoco Crocodile","age":24,"sex":"M"},{"name":"Spike","species":"Mugger Crocodile","age":64,"sex":"M"},{"species":"Siamese Crocodile","age":40,"sex":"M","name":"Gator"},{"species":"Freshwater Crocodile","age":44,"sex":"F","name":"Snapper"},{"sex":"F","name":"Sly","species":"Slender-snouted Crocodile","age":11},{"age":24,"sex":"M","name":"Ripjaw","species":"Mugger Crocodile"},{"name":"Thrasher","species":"Orinoco Crocodile","age":67,"sex":"M"}]  source=console
+INFO[0001] The length of the response array is 8         source=console
+
+     data_received..................: 6.5 kB 7.3 kB/s
+     data_sent......................: 542 B  606 B/s
+     http_req_blocked...............: avg=533.74ms min=533.74ms med=533.74ms max=533.74ms p(90)=533.74ms p(95)=533.74ms
+     http_req_connecting............: avg=246.67ms min=246.67ms med=246.67ms max=246.67ms p(90)=246.67ms p(95)=246.67ms
+     http_req_duration..............: avg=356.86ms min=356.86ms med=356.86ms max=356.86ms p(90)=356.86ms p(95)=356.86ms
+       { expected_response:true }...: avg=356.86ms min=356.86ms med=356.86ms max=356.86ms p(90)=356.86ms p(95)=356.86ms
+     http_req_failed................: 0.00%  ✓ 0        ✗ 1
+     http_req_receiving.............: avg=357µs    min=357µs    med=357µs    max=357µs    p(90)=357µs    p(95)=357µs   
+     http_req_sending...............: avg=297µs    min=297µs    med=297µs    max=297µs    p(90)=297µs    p(95)=297µs   
+     http_req_tls_handshaking.......: avg=285.27ms min=285.27ms med=285.27ms max=285.27ms p(90)=285.27ms p(95)=285.27ms
+     http_req_waiting...............: avg=356.21ms min=356.21ms med=356.21ms max=356.21ms p(90)=356.21ms p(95)=356.21ms
+     http_reqs......................: 1      1.117563/s
+     iteration_duration.............: avg=894.17ms min=894.17ms med=894.17ms max=894.17ms p(90)=894.17ms p(95)=894.17ms
+     iterations.....................: 1      1.117563/s
+
+
+running (00m00.9s), 0/1 VUs, 1 complete and 0 interrupted iterations
+default ✓ [======================================] 1 VUs  00m00.9s/10m0s  1/1 iters, 1 per VU
+```
+
+So based on the output above, the api is returning 8 crocodiles with it's name, gender and other details. The test results give us some metrics such as data recd., sent and other http metrics. Note that we haven't added any checks so far, though we have imported the check function.
+
+For this usecase let's do a few checks such as:
+1. Check the response status to be 200
+2. Is it sending back 8 crocodile details
+3. Is it giving back the details of 4 male and 4 crocodiles, meaning is the response distrubuted equally based on gender
+4. There should be atleast one crocodile under 15 years of age
+
+The code for these checks should look like below:
+```
+  check(res, {
+    'is status 200': (r) => r.status === 200,
+    'is response length 8': (r) => r.json().length === 8,
+    'is response distributed equally based on gender': (r) => {
+      let maleCount = 0
+      let femaleCount = 0
+      r.json().forEach(crocodile => {
+        if (crocodile.sex === 'M') {
+          maleCount++
+        } else if (crocodile.sex === 'F') {
+          femaleCount++
+        }
+      })
+      return (maleCount === femaleCount)
+    },
+    'is any crocodile under 15 years of age': (r) => {
+      const isAnyUnder15 = r.json().some(crocodile => crocodile.age < 15)
+      return isAnyUnder15
+    }
+  })
+```
+
+Please keep the checks block inside the main function after which we can run the test again.
+```
+% k6 run test.js
+---TRUNCATED---
+     ✓ is status 200
+     ✓ is response length 8
+     ✗ is response distributed equally based on gender
+      ↳  0% — ✓ 0 / ✗ 1
+     ✗ is any crocodile under 15 years of age
+      ↳  0% — ✓ 0 / ✗ 1
+---TRUNCATED---
+```
+So, couple of our checks are failing.
+
+All good:thumbsup:, so we got some grip on how to run k6 and add some checks. We can try doing the same stuff on grafana.
+
+## Grafana
+Go to `Grafana Cloud > Home > Testing & synthetics > Add a new check > Scripted check`. I have defined the following options in the form.
+```
+Job name: test-job
+Instance: test-instance
+Probe locations: Seoul(I have chosen only one)
+```
+
+In the script from, just put the same script we used before, and test/save it.
+![Set synethtic monitoring in Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/p3h1m09vnnqm36eqpejd.png)
+
+Note that by default the logs and metrics related to our test would go to the loki and mimir endpoints of Grafana cloud.
+
+The out of box dashboard for our check should appear in sometime. The assertions panel which gives a stat and timeseries graph(expanded view) for the four checks.
+![Dashboard preview](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jnio6uuw1p7crexvnx2m.png)
+
+As a bonus let's go to `Home > Dashbooards > New Dashboard` and try creating a custom dashboard panel with mimir(prometheus type datasource).
+![Current probe checks status](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/oy0whqdzmymds4f72du1.png)
+Here is the panel json for this.
+```
+{
+  "datasource": {
+    "uid": "grafanacloud-prom",
+    "type": "prometheus"
+  },
+  "type": "stat",
+  "title": "Current probe checks status",
+  "gridPos": {
+    "x": 0,
+    "y": 8,
+    "w": 12,
+    "h": 8
+  },
+  "id": 1,
+  "targets": [
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": "grafanacloud-prom"
+      },
+      "refId": "A",
+      "expr": "sum(probe_checks_total{job=\"test-job\"}) by(result)",
+      "range": false,
+      "instant": true,
+      "editorMode": "code",
+      "legendFormat": "__auto",
+      "useBackend": false,
+      "disableTextWrap": false,
+      "fullMetaSearch": false,
+      "includeNullMetadata": true,
+      "format": "time_series",
+      "exemplar": false
+    }
+  ],
+  "options": {
+    "reduceOptions": {
+      "values": true,
+      "calcs": [
+        "lastNotNull"
+      ],
+      "fields": ""
+    },
+    "orientation": "auto",
+    "textMode": "auto",
+    "wideLayout": true,
+    "colorMode": "value",
+    "graphMode": "area",
+    "justifyMode": "auto",
+    "showPercentChange": false
+  },
+  "transformations": [
+    {
+      "id": "calculateField",
+      "options": {
+        "mode": "binary",
+        "reduce": {
+          "reducer": "sum"
+        },
+        "binary": {
+          "left": "fail",
+          "right": "pass"
+        },
+        "alias": "total"
+      }
+    },
+    {
+      "id": "calculateField",
+      "options": {
+        "mode": "binary",
+        "binary": {
+          "left": "pass",
+          "operator": "/",
+          "right": "total"
+        },
+        "alias": "success ratio"
+      }
+    }
+  ],
+  "fieldConfig": {
+    "defaults": {
+      "mappings": [],
+      "thresholds": {
+        "mode": "absolute",
+        "steps": [
+          {
+            "value": null,
+            "color": "green"
+          },
+          {
+            "value": 80,
+            "color": "red"
+          }
+        ]
+      },
+      "color": {
+        "mode": "thresholds"
+      }
+    },
+    "overrides": [
+      {
+        "matcher": {
+          "id": "byName",
+          "options": "fail"
+        },
+        "properties": [
+          {
+            "id": "thresholds",
+            "value": {
+              "mode": "absolute",
+              "steps": [
+                {
+                  "color": "green",
+                  "value": null
+                },
+                {
+                  "color": "red",
+                  "value": 1
+                }
+              ]
+            }
+          }
+        ]
+      },
+      {
+        "matcher": {
+          "id": "byName",
+          "options": "success ratio"
+        },
+        "properties": [
+          {
+            "id": "unit",
+            "value": "percentunit"
+          },
+          {
+            "id": "thresholds",
+            "value": {
+              "mode": "absolute",
+              "steps": [
+                {
+                  "color": "red",
+                  "value": null
+                },
+                {
+                  "color": "yellow",
+                  "value": 0.8
+                },
+                {
+                  "value": 0.9,
+                  "color": "green"
+                }
+              ]
+            }
+          }
+        ]
+      },
+      {
+        "matcher": {
+          "id": "byName",
+          "options": "total"
+        },
+        "properties": [
+          {
+            "id": "color",
+            "value": {
+              "mode": "shades",
+              "fixedColor": "purple"
+            }
+          }
+        ]
+      }
+    ]
+  },
+  "pluginVersion": "11.1.0-70724"
+}
+```
+
+And one with loki for logs.
+![Logs panel](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/r0dkh2blb2st7j69l2te.png)
+
+Cool, we came to the end of this post:clap:, here we tried synthetic testing first with k6 and used the same script with Grafana cloud and visualized the data with couple of panels. As a housekeeping reminder, you may delete the check that's created in Grafana, so that it stops polling the endpoint, and then may delete the function in AWS Lambda. Thanks for reading!!!
diff --git a/_posts/2024-07-12/2024-07-12-grafana-otel-app-observability-demo.md b/_posts/2024-07-12/2024-07-12-grafana-otel-app-observability-demo.md
new file mode 100644
index 0000000..a6e404f
--- /dev/null
+++ b/_posts/2024-07-12/2024-07-12-grafana-otel-app-observability-demo.md
@@ -0,0 +1,199 @@
+---
+canonical_url: "https://dev.to/networkandcode/grafana-otel-app-observability-demo-552j"
+date: "2024-07-12"
+title: "Grafana OTEL App Observability Demo"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fz61l81rukn698b056t57.png"
+tags: "grafana, otel, observability, kubernetes"
+categories: "grafana, otel, observability, kubernetes"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/grafana-otel-app-observability-demo-552j)**
+
+## Introduction
+We are going to explore the built in app observability solution on Grafana cloud, which generates some built in dashboards for us. We would be using OTEL traces for this particular demo. You may check the video version here: {% youtube jw2FXDwEFWg %}
+
+We shall install a sample demo app that simulates a microservices environment. It would generate otel compatible traces which are sent to a local alloy instance. From the local alloy, the traces are sent to Grafana's OTLP gateway(alloy) on the cloud.
+
+The setup would typically look as below.
+![Solution diagram](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/aofl5n8twcfhbwdt9ocy.png)
+
+
+
+Note that certain metrics will be generated from the traces. So traces will be sent to tempo and the generated metrics from the traces will be sent to Mimir. Both Mimir and Tempo on the cloud are available as datasources in Grafana cloud.
+
+## OTLP endpoint
+Go to grafana.com, sign in and access your account, the url of which would be like `https://grafana.com/orgs/`. Click on the Stack at the top of the page. In my case, I am using a free account and the organization and stack name are both same. Note that I can only have one organization in the free account.
+
+In the manage stack page, there should be an OTLP section, click on it and copy the gateway URL and instance id from there. Note that the instance id would be our username as well. On this page, you may generate a token with the predefined scope `set:alloy-data-write`. This has the sub scopes `metrics:write, logs:write, traces:write, profiles:write, fleet-management:read`. I have generated a new API token with the predefined options and given it a name `app-observability-demo`. Ensure you copy the token.
+
+## Alloy config
+My alloy config would look as below. We need to put the username and password from what we collected in the previous step.
+```
+$ cat config.alloy 
+
+otelcol.receiver.otlp "otlp_receiver" {
+  grpc {
+    endpoint = "0.0.0.0:4317"
+  }
+
+  output {
+    traces = [otelcol.exporter.otlphttp.grafana_cloud.input,]
+  }
+}
+
+otelcol.exporter.otlphttp "grafana_cloud" {
+	client {
+		endpoint = "https://otlp-gateway-prod-us-east-0.grafana.net/otlp"
+		auth     = otelcol.auth.basic.grafana_cloud.handler
+	}
+}
+
+otelcol.auth.basic "grafana_cloud" {
+  username = ""
+  password = ""
+}
+```
+
+Create a namespace and then a configmap with this config.
+```
+kubectl create ns app-o11y-demo
+
+kubectl create configmap \
+    alloy-config \
+    --namespace app-o11y-demo \
+    "--from-file=config.alloy=config.alloy"
+```
+
+## Alloy chart
+We can define the helm values for alloy by referring to the configmap as follows.
+```
+$ cat alloy-values.yaml 
+alloy:
+  configMap:
+    create: false
+    name: alloy-config
+    key: config.alloy
+  extraPorts:
+  - name: "grpc"
+    port: 4317
+    targetPort: 4317
+    protocol: "TCP"
+```
+
+And call this values file in the helmfile.
+```
+$ cat helmfile.yaml
+repositories:
+- name: grafana
+  url: https://grafana.github.io/helm-charts
+
+releases:
+- name: alloy
+  chart: grafana/alloy
+  namespace: app-o11y-demo
+  values:
+  - alloy-values.yaml
+  version: 0.5.0
+```
+
+We can now install the helm chart with helmfile.
+```
+$ helmfile sync
+```
+
+The alloy pod should be running.
+```
+$ kubectl get po -n app-o11y-demo
+NAME                                  READY   STATUS    RESTARTS   AGE
+alloy-cd4zp                           2/2     Running   0          6m10s
+```
+
+And the service, endpoints can be validated.
+```
+$ kubectl get svc -n app-o11y-demo
+NAME    TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)              AGE
+alloy   ClusterIP   10.100.121.96           12345/TCP,4317/TCP   6m55s
+
+$ kubectl get ep -n app-o11y-demo
+NAME    ENDPOINTS                          AGE
+alloy   10.1.4.159:12345,10.1.4.159:4317   7m11s
+
+$ kubectl get po -n app-o11y-demo -o wide
+NAME                                  READY   STATUS    RESTARTS   AGE     IP           NODE             NOMINATED NODE   READINESS GATES
+alloy-cd4zp                           2/2     Running   0          7m27s   10.1.4.159   docker-desktop              
+```
+
+## Demo app
+We can now deploy a demo app that would generate traces and send it alloy via grpc. The manifest for which is as follows.
+```
+$ cat xk6-client-tracing.yaml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: xk6-client-tracing
+  namespace: app-o11y-demo
+spec:
+  minReadySeconds: 10
+  replicas: 1
+  revisionHistoryLimit: 10
+  selector:
+    matchLabels:
+      app: xk6-client-tracing
+      name: xk6-client-tracing
+  template:
+    metadata:
+      labels:
+        app: xk6-client-tracing
+        name: xk6-client-tracing
+    spec:
+      containers:
+      - env:
+        - name: ENDPOINT
+          value: alloy.app-o11y-demo.svc.cluster.local:4317
+        image: ghcr.io/grafana/xk6-client-tracing:v0.0.2
+        imagePullPolicy: IfNotPresent
+        name: xk6-client-tracing
+```
+
+Note the ENDPOINT variable above is pointing to the alloy service that we deployed earlier. We can now deploy it with kubectl.
+```
+$ kubectl create -f xk6-client-tracing.yaml
+deployment.apps/xk6-client-tracing created
+```
+
+The pod status can be checked.
+```
+$ kubectl get po -n app-o11y-demo | grep k6
+xk6-client-tracing-6c49cdfbdb-cm25h   1/1     Running   0          5m44s
+```
+
+If everything works as expected, the demo app should have sent traces to alloy and then to tempo backend in Grafana cloud. Likewise it should sent the trace metrics to alloy and then to Mimir on cloud.
+
+## Grafana cloud
+We can now headover to Grafana cloud. The url of which would look like `https://.grafana.net/`. You may go to `Home > Application` and click on `Enable Metrics` and activate it. After that add a new a connection and select `OTLP`. Just scroll down and enter the service name as `shop-backend` as that's the root service of our demo app. Test the connection now, it should be successful.
+![OTLP connection successful](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/k41fek8ea9q202sgfcr2.png)
+
+Once we click on `Go to Application observability` we should be able to see the pre built dashboards based on the traces and the trace metrics, predominantly based on the RED(Rate, Error, Duration method.
+![Shop backend dashboard](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pjpwpxp4j2fbas98x6gb.png)
+
+Note that in our case we are only sending traces from our application and the trace metrics were generated at Grafana cloud. We could also have sent direct metrics for ex. if it's a go application we could have sent go metrics, likewise we could also have send logs from our application, all of this to the same gateway(alloy on cloud). With the just the traces we have a handful of data to debug web app issues.
+
+Also, though shop-backend is our root service, we also have other simulated microservices in this application.
+![Services page](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tdd7qunhgjeffsbim1pk.png)
+
+There are a lot of other options in these built in dashboards to explore. Though we have these built in dashboards, we could also built any custom dashboards. For ex. let's explore what we get in the explore pane keeping tempo as the datasource and build a complete service map for all the services that are part of our demo app. Note that the service map from this is shown in the cover image of the blog.
+![Explore trace](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2os6uphastchwsov5j5d.png)
+
+Let's try one more for the trace metrics with mimir as the datasource.
+![Explore metrics](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ur4puigobj2q8f2pckyq.png)
+
+## Summary
+Alright so we have come to the end of this post, we saw how one of Grafana cloud's solutions around app observability could help us get built in dashboards quite quickly once the data starts flowing to the cloud backend. However note that instrumentation is still necessary on the app side, we were able to get a demo app that already had the OTEL tracing instrumentation for us. As a cleanup check you may run the following commands:
+```
+helm uninstall alloy -n app-o11y-demo
+kubectl delete -f xk6-client-tracing.yaml
+
+# if you also want to delete the ns
+kubectl delete ns app-o11y-demo
+``` 
+
+Thanks for reading!!!
diff --git a/_posts/2024-07-18/2024-07-18-otel-demo-with-eks-and-new-relic.md b/_posts/2024-07-18/2024-07-18-otel-demo-with-eks-and-new-relic.md
new file mode 100644
index 0000000..7125197
--- /dev/null
+++ b/_posts/2024-07-18/2024-07-18-otel-demo-with-eks-and-new-relic.md
@@ -0,0 +1,173 @@
+---
+canonical_url: "https://dev.to/aws-builders/otel-demo-with-and-eks-and-newrelic-3j52"
+date: "2024-07-18"
+title: "OTEL Demo with EKS and New Relic"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fdyvayx3ij8o3cyyg464r.png"
+tags: "aws, newrelic, kubernetes, sre"
+categories: "aws, newrelic, kubernetes, sre"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/otel-demo-with-and-eks-and-newrelic-3j52)**
+
+Hi:wave:, In this post we shall deploy the OTEL demo app on EKS, and send the metrics, logs and traces to New Relic.
+
+## Prerequisites
+It's assumed you know how to install and use tools such as *eksctl, kubectl, helm, helmfile* and know some observability basics.
+
+## Cluster
+Create a cluster on EKS with this command.
+```
+eksctl create cluster --name newrelic-otel-demo --zones=us-east-1a,us-east-1b
+```
+Once the cluster is created, the kubeconfig's current context will be automatically changed to it.
+```
+$ kubectl config current-context
+nc@newrelic-otel-demo.us-east-1.eksctl.io
+```
+
+## License
+We need a license key:key: first from New Relic, log in to the New Relic website and headerover to `Administration > API keys` and copy the license key and set it as a variable. Note that the free account is sufficient for this demo.
+```
+export NEW_RELIC_LICENSE_KEY=''
+```
+
+We can create a namespace for our demo and keep a secret in it for the license.
+```
+$ kubectl create ns otel-demo-newrelic
+namespace/newrelic-otel-demo created
+
+$ kubectl create secret generic newrelic-license-key --from-literal=license-key="$NEW_RELIC_LICENSE_KEY" -n otel-demo-newrelic
+secret/newrelic-license-key created
+```
+
+## Helm
+We would be using the following helm values. We have disabled extra components that come along with the helm chart which we do not need for this demo.
+```
+$ cat otel-demo-newrelic-values.yaml
+prometheus:
+  enabled: false
+opensearch:
+  enabled: false
+grafana:
+  enabled: false
+jaeger:
+  enabled: false
+  
+opentelemetry-collector:
+  config:
+    exporters:
+      otlphttp/newrelic:
+        endpoint: https://otlp.nr-data.net:4317
+        headers:
+          api-key: ${NEW_RELIC_LICENSE_KEY}
+        tls:
+          insecure: false
+    service:
+      pipelines:
+        logs:
+          exporters: [otlphttp/newrelic, debug]
+        metrics:
+          exporters: [otlphttp/newrelic, debug]
+          receivers: [httpcheck/frontendproxy, redis, otlp]
+        traces:
+          exporters: [otlphttp/newrelic, debug]
+  extraEnvs:
+    - name: NEW_RELIC_LICENSE_KEY
+      valueFrom:
+        secretKeyRef:
+          key: license-key
+          name: newrelic-license-key
+    - name: OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE
+      value: delta
+```
+
+And the helmfile would refer to the public helm chart and the helm values file we just defined above.
+```
+$ cat otel-demo-newrelic-helmfile.yaml
+repositories:
+- name: open-telemetry
+  url: https://open-telemetry.github.io/opentelemetry-helm-charts
+
+releases:
+- name: otel-demo-newrelic
+  chart: open-telemetry/opentelemetry-demo
+  namespace: otel-demo-newrelic
+  values:
+  - otel-demo-newrelic-values.yaml
+```
+
+It's time to deploy the helm release.
+```
+helmfile sync -f otel-demo-newrelic-helmfile.yaml
+```
+
+We can check the helm release.
+```
+$ helm ls -n otel-demo-newrelic
+NAME              	NAMESPACE         	REVISION	UPDATED                             	STATUS  	CHART                    	APP VERSION
+otel-demo-newrelic	otel-demo-newrelic	1       	2024-07-17 22:02:13.440621 +0530 IST	deployed	opentelemetry-demo-0.32.1	1.11.0     
+```
+
+## Pods
+In some time, all the pods should be running. I had seen image pull back off for sometime, however it fixed itself in a while.
+```
+$ kubectl get po -n otel-demo-newrelic
+NAME                                                        READY   STATUS    RESTARTS   AGE
+otel-demo-newrelic-accountingservice-76fc85f7f9-vxps4       1/1     Running   0          25m
+otel-demo-newrelic-adservice-7f8964f98-z2nqd                1/1     Running   0          25m
+otel-demo-newrelic-cartservice-bbdfdc59c-w4cqg              1/1     Running   0          25m
+otel-demo-newrelic-checkoutservice-f6fd788db-khgq6          1/1     Running   0          25m
+otel-demo-newrelic-currencyservice-f9f77f79d-8n946          1/1     Running   0          25m
+otel-demo-newrelic-emailservice-66c84d6b64-frs8b            1/1     Running   0          25m
+otel-demo-newrelic-flagd-7444ccd98d-cknxl                   1/1     Running   0          25m
+otel-demo-newrelic-frauddetectionservice-7c85f7c6bf-mpbw9   1/1     Running   0          25m
+otel-demo-newrelic-frontend-c995cfcdd-dsgvc                 1/1     Running   0          25m
+otel-demo-newrelic-frontendproxy-76bb8f75cf-kzmn6           1/1     Running   0          25m
+otel-demo-newrelic-imageprovider-66db4b77cf-7rg97           1/1     Running   0          25m
+otel-demo-newrelic-kafka-74fbd4c749-dspqm                   1/1     Running   0          25m
+otel-demo-newrelic-loadgenerator-864475d886-wtnxs           1/1     Running   0          25m
+otel-demo-newrelic-otelcol-6b89d8dd84-l5mx4                 1/1     Running   0          25m
+otel-demo-newrelic-paymentservice-59677d8c8f-bds4f          1/1     Running   0          25m
+otel-demo-newrelic-productcatalogservice-845d79f865-6hs7c   1/1     Running   0          25m
+otel-demo-newrelic-quoteservice-76b5f85685-5zz86            1/1     Running   0          25m
+otel-demo-newrelic-recommendationservice-8d6bb74c-6zfm4     1/1     Running   0          25m
+otel-demo-newrelic-shippingservice-6d44b76489-n4tlw         1/1     Running   0          25m
+otel-demo-newrelic-valkey-7f5ffc95ff-wz9zg                  1/1     Running   0          25m
+```
+
+## New Relic
+We can now go to New Relic and see if the data is flowing. Check `All Entities > Services-OpenTelemetry`, we should start seeing the data for all our services.
+![OTEL services in New Relic](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/32cb057vguyztxp16ksp.png)
+
+We could either click on one of the service names on the pic above, or choose a service from the `APM & Services` section to see quite a lot of information about a particular service including built-in dashboards:chart_with_upwards_trend:.
+![Service overview](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6vx8ybuguc2kslrrcow9.png)
+
+We could also check the traces page for a particular service, as we are sending traces too, based on our otel collector configuration.
+![Traces page](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dlc7t4hwg7uvvw3o6f0r.png)
+
+Already a lot of information, forget about creating custom panels or alerts :smiley:, understading and managing what we have already given by New Relic is in itself a great administration task:wink:.
+
+Yet we will try to run a simple query using the query builder.
+![Query builder](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/kiplq8gsx8o0rr8b4wla.png)
+
+We could make custom dashboards with such queries. Alright so that's the end of this post. We just saw how we can use the open telemetry collector to send observability data to newrelic and just explored some of the UI functionalities on New Relic. See below for the housekeeping check.
+
+## Cleanup
+Note that free account comes with a data ingestion limit of 100GB per month. I think it ingested around 17GB approximately for about 10 hours(I left my cluster ON and more than 85% of data was coming from traces). So it's a good idea to stop sending traffic once your demo is done, so you can leverage the free limit later when required.
+
+Delete the namespace to delete all the objects we created in the kubernetes cluster for this demo. This would stop sending data to newrelic.
+```
+kubectl delete ns otel-demo-newrelic
+namespace "otel-demo-newrelic" deleted
+```
+
+Also you may unset the license key variable.
+```
+unset NEW_RELIC_LICENSE_KEY
+```
+
+Finally delete the cluster.
+```
+eksctl delete cluster --name newrelic-otel-demo --region=us-east-1
+```
+
+Thank you for reading !!!.
diff --git a/_posts/2024-10-01/2024-10-01-aws-alb-ingress-access-logs-on-grafana.md b/_posts/2024-10-01/2024-10-01-aws-alb-ingress-access-logs-on-grafana.md
new file mode 100644
index 0000000..c8d6cd5
--- /dev/null
+++ b/_posts/2024-10-01/2024-10-01-aws-alb-ingress-access-logs-on-grafana.md
@@ -0,0 +1,194 @@
+---
+canonical_url: "https://dev.to/aws-builders/aws-albingress-access-logs-on-grafana-25em"
+date: "2024-10-01"
+title: "AWS ALB(Ingress) access logs on Grafana"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F235bq6gkozgamld01qhn.jpeg"
+tags: "aws, kubernetes, lambda, monitoring"
+categories: "aws, kubernetes, lambda, monitoring"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/aws-albingress-access-logs-on-grafana-25em)**
+
+Hi :wave:, we shall explore the following use case in this post: Let's say you have an EKS cluster, and you have deployed an application there and exposed it via the AWS ALB controller as ingress(instead of other options like nginx ingress, istio virtual service etc.). We'll see how to check the access logs for this scenario, by forwarding the access logs from the application load balancer to a bucket on S3. And then use an event trigger when new logs are added to S3, to invoke a Lambda function that would write those logs to a Cloud watch log group and stream. We could then use Cloud watch as a datasource on Grafana to visualize/monitor the logs.
+
+So the setup is going to look like this:
+![Blog diagram](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cad2ma436joy2vk5ph07.png)
+Note that though the arrow on the diagram is one sided, it's only referring to who initiates the traffic(request) first, in most cases there is going to be some response back.
+
+## EKS cluster
+We need to first create a cluster and associate oidc provider with it.
+```
+eksctl create cluster --name ingress-logs-demo --zones=us-east-1a,us-east-1b
+
+eksctl utils associate-iam-oidc-provider --region=us-east-1 --cluster=ingress-logs-demo --approve
+```
+
+## Ingress
+First create a service account with the built in load balancer controller role.
+```
+eksctl create iamserviceaccount \
+  --cluster=ingress-logs-demo \
+  --namespace=kube-system \
+  --name=aws-load-balancer-controller \
+  --role-name AmazonEKSLoadBalancerControllerRole \
+  --attach-policy-arn=arn:aws:iam::$AWS_ACCOUNT_ID:policy/AWSLoadBalancerControllerIAMPolicy \
+  --approve
+```
+
+Replace $AWS_ACCOUNT_ID with your account id.
+
+We can now install the [AWS Loadbalancer Controller](https://docs.aws.amazon.com/eks/latest/userguide/lbc-helm.html), and map it with the service account we just created.
+```
+helm repo add eks https://aws.github.io/eks-charts
+
+helm install aws-load-balancer-controller eks/aws-load-balancer-controller \ 
+-n kube-system \ 
+--set clusterName=$CLUSTER \ 
+--set serviceAccount.create=false \ 
+--set serviceAccount.name=aws-load-balancer-controller
+```
+
+## Demo app
+We can install a [demo app - 2048 game](https://docs.aws.amazon.com/eks/latest/userguide/lbc-helm.html) that comes with ingress as well.
+```
+kubectl apply -f https://raw.githubusercontent.com/kubernetes-sigs/aws-load-balancer-controller/v2.7.2/docs/examples/2048/2048_full.yaml
+```
+
+This should have created an ingress resource for us.
+```
+kubectl get ing -n game-2048
+NAME           CLASS   HOSTS   ADDRESS                                                                  PORTS   AGE
+ingress-2048   alb     *       k8s-game2048-ingress2-cfcea01af4-806164108.us-east-1.elb.amazonaws.com   80      3d3h
+```
+
+We could access the URL with the URL above(it would change in your case).
+![2048 game on browser](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6nhmwrks4fl3sbhenomw.png)
+
+## Access logs
+Let's say we want to monitor our app, like how many requests are coming in, how many are errors, what's the response time etc. In that case we can catch the access logs that are going to our app. For this we need to go the application loadbalancer that was created when we installed the aws load balancer controller via helm. And update it to forward the acces logs to S3. Which means we first need to create the S3 bucket.
+
+## S3
+I have created an S3 bucket with the name `ingress-logs-demo` in the us-east-2 region with the following policy:
+```
+{
+    "Version": "2012-10-17",
+    "Statement": [
+        {
+            "Effect": "Allow",
+            "Principal": {
+                "AWS": "arn:aws:iam::127311923021:root"
+            },
+            "Action": "s3:PutObject",
+            "Resource": "arn:aws:s3:::ingress-logs-demo/AWSLogs//*"
+        }
+    ]
+}
+```
+Note that `127311923021` refers to the AWS account for loadbalancers in the us-east-2 region. Check this [link](https://docs.aws.amazon.com/elasticloadbalancing/latest/application/enable-access-logging.html) for more info. Also, replace `` with your account id. The policy above means any loadblancer created in the us-east-2 region should be able to put objects in this bucket in the defined path.
+
+We can now modify the application loadbalancer to forward logs to S3.
+![Send access logs to S3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/py03zedkctde9so8i0k5.png)
+
+If we start using the app ui now via browser and do a few hits, we should be able to see the access logs for those on S3 in compressed format.
+![Access logs on S3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ncd1fe2fdcn8ntl68a4h.png)
+
+## Cloudwatch Logs
+We can create a log watch group(`/aws/lambda/ingress-logs-demo`) and stream(`access-logs`) where we can forward the access logs from S3. Note that I am going to use the same log group for both the access logs(alb to s3 to cloud watch) and for any logs coming from the lambda function itself. That is why I have named the logwatch group with that format, as any logs from a function with name (ingress-logs-demo) would be stored in (/aws/lambda/ingress-logs-demo)
+
+## Lambda
+We should need a way to retreive these logs and forward those to Cloudwatch, for which I would be using a Lambda function in Python with the same name `ingress-logs-demo`(for simplicity) with the following code.
+```
+import boto3
+import gzip
+import io
+from datetime import datetime
+
+s3_client = boto3.client('s3')
+logs_client = boto3.client('logs')
+
+log_group_name = '/aws/lambda/ingress-logs-demo'
+log_stream_name = 'access-logs'
+
+def lambda_handler(event, context):
+    # Get S3 bucket and log file details from the event
+    bucket = event['Records'][0]['s3']['bucket']['name']
+    key = event['Records'][0]['s3']['object']['key']
+
+    # Download the log file from S3
+    response = s3_client.get_object(Bucket=bucket, Key=key)
+
+    # Read the gzipped file
+    with gzip.GzipFile(fileobj=io.BytesIO(response['Body'].read())) as file:
+        logs = file.read().decode('utf-8').splitlines()
+
+    # Send each log line as an event to CloudWatch
+    log_events = []
+    for line in logs:
+        timestamp = int(datetime.now().timestamp() * 1000)
+        
+      
+        log_events.append({
+            'timestamp': timestamp,
+            'message': line
+        })
+
+    if log_events:
+        logs_client.put_log_events(
+            logGroupName=log_group_name,
+            logStreamName=log_stream_name,
+            logEvents=log_events
+        )
+
+    return {
+        'statusCode': 200,
+        'body': f'Successfully processed {len(log_events)} log events from {key}'
+    }
+```
+
+Note the we are passing the logs as is but we could use some logic in our code, to parse the content and restructure it as desired. Please check this [link](https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-access-logs.html#log-processing-tools) for the log format.
+
+Also we need a trigger to invoke this function when any objects are added to S3.
+![Lambda trigger for S3](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/59pxllxi506zow59sp7s.png)
+
+## Role
+We need an IAM role that lets the lambda function read from S3 and write to Cloudwatch Logs. We can create a new one with name `ingress-logs-demo`, trusted entity type as `AWS service`, Service or use case  as `Lambda` and in the permission policies, select `AWSLambdaBasicExecutionRole` and `AmazonS3ReadOnlyAccess`.
+
+## All set
+All set now, we can now hit the 2048 game url on browser a couple of times, and  try playing the game. This should run our workflow and store logs in cloud watch.
+![Access logs on cloud watch](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/es4uwgbkt5vipnn4d7vg.png)
+
+## Grafana
+We can now go to Grafana, add cloudwatch as a [datasource](AWS Community Builders 
+Logging demo with OTEL Collector, CloudWatch and Grafana) and play with the data and do some visualization, display the logs etc.
+Let's try a couple of exercises with panels.
+
+Just filter for logs that has "200" typically meaning we wan't to see  logs that have response code 200.
+![Logs on Grafana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xi07itlgnygtwphlek9f.png)
+
+Let's check 404 this time. And create a stat panel with it.
+![Stat panel for 404](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dyfl0siacvvjj3erz6j6.png)
+
+I have used this query:
+```
+fields @timestamp, @message
+| filter @logStream = "access-logs"
+| filter @message like /"404"/
+| sort @timestamp desc
+```
+and the calculation was set to count for the field `@message`
+
+Alright, so that's end the post, we were finally able to get our access logs on cloudwatch and see those on Grafana. This should help us monitoring any urls thats accessed through the ingress.
+
+## Cleanup
+Checklist:
+- Delete the function
+- Delete the IAM role
+- Empty the S3 bucket and delete it
+- Delete the cloudwatch log group
+- Delete the load balancer controller and remove the helm repo
+```
+helm uninstall aws-load-balancer-controller -n kube-system
+helm repo remove eks
+```
+- Delete the eks cluster: `eksctl delete cluster --name ingress-logs-demo`
+
+Thank you for reading :)
diff --git a/_posts/2024-10-11/2024-10-11-otel-auto-instrumentation-demo-for-springboot.md b/_posts/2024-10-11/2024-10-11-otel-auto-instrumentation-demo-for-springboot.md
new file mode 100644
index 0000000..9e7b0a3
--- /dev/null
+++ b/_posts/2024-10-11/2024-10-11-otel-auto-instrumentation-demo-for-springboot.md
@@ -0,0 +1,503 @@
+---
+canonical_url: "https://dev.to/aws-builders/otel-auto-instrumentation-demo-for-springboot-gmk"
+date: "2024-10-11"
+title: "OTEL Auto Instrumentation Demo for SpringBoot"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fn7bpdgsjgcmqipfbcgb1.png"
+tags: "monitoring, springboot, aws, kubernetes"
+categories: "monitoring, springboot, aws, kubernetes"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/otel-auto-instrumentation-demo-for-springboot-gmk)**
+
+Hello :wave:, this post is about auto instrumenting a spring boot app with the [otel agent](https://opentelemetry.io/docs/zero-code/java/agent/getting-started/) running on EKS, forward the telemetry signals(metrics, logs, traces) to backends such as prometheus, loki, tempo via the open telemetry collector, and visualize those in Grafana. The setup is as in the diagram below:
+![Setup](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9njwlqldhpacf50hm8dl.png)
+Note that the datasources are added on Grafana, which means Grafana sends them API requests to fetch the data.
+
+Alright, let's get started!
+
+## Prerequisites
+Ensure you have installed tools such as the aws cli, eksctl, git, docker, kubectl, helm and that you have authenticated to aws from cli.
+
+## Setup the demo app
+Let's clone a simple spring boot app from github, and switch to complete directory, where the application code is present.
+```
+git clone https://github.com/spring-guides/gs-rest-service.git
+
+cd gs-rest-service/complete
+```
+
+We can add a logger to the application in the controller class.
+```java
+cat > src/main/java/com/example/restservice/GreetingController.java < Dockerfile < .dockerignore < helmfile.yaml < otel-collector-values.yaml < prometheus-values.yaml < loki-values.yaml < tempo-values.yaml < grafana-values.yaml < demoapp.yaml <com.example    
+	rest-service-complete
+--TRUNCATED--
+```
+
+So, we were able to get the telemetry data successfully from our SpringBoot Java App all the way down to Grafana. With this as base, we could now build custom dashboards as we like, do some correlation by modifying datasource config, etc. 
+
+## Cleanup checklist
+- Delete the helm releases: `helmfile destroy`
+- Delete the PVCs: `kubectl delete pvc --all -n otel-auto-java-demo`
+- Delete the demo app (optional): `kubectl delete -f demoapp.yaml`
+- Delete the cluster: `eksctl delete cluster --name otel-auto-java-demo --region $REGION`
+- Delete the ECR repo: `aws ecr delete-repository --repository-name otel-auto-java-demo --region $REGION --force`
+
+Thank you for reading :)
diff --git a/_posts/2025-05-06/2025-05-06-github-mcp-with-amazon-q-cli.md b/_posts/2025-05-06/2025-05-06-github-mcp-with-amazon-q-cli.md
new file mode 100644
index 0000000..cb877a8
--- /dev/null
+++ b/_posts/2025-05-06/2025-05-06-github-mcp-with-amazon-q-cli.md
@@ -0,0 +1,172 @@
+---
+canonical_url: "https://dev.to/aws-builders/mcp-with-amazon-q-cli-ac9"
+date: "2025-05-06"
+title: "GitHub MCP with Amazon Q CLI"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fjlb6iwqht4njpfl51jf3.webp"
+tags: "aws, mcp, github, nextjs"
+categories: "aws, mcp, github, nextjs"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/mcp-with-amazon-q-cli-ac9)**
+
+Hi :wave:, let's explore some MCP stuff with the amazon q developer cli. We shall try onboarding a new nextjs app with boilerplate code on GitHub in this exercise. We then just clone the code to our machine and run it locally. Let's get started :rocket:
+
+Install the q [cli](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line.html).
+```
+brew install amazon-q
+```
+Once installed open Amazon Q from the launchpad and follow the instructions there to integrate Q with shell, and then login with a builder ID.
+
+Let's create a directory where we can keep our mcp code.
+```
+mkdir app-onboarding-with-q
+cd app-onboarding-with-q 
+```
+
+## GitHub MCP server
+We can now add the [github](https://github.com/github/github-mcp-server) mcp config.
+
+Create a personal access token on github developer settings with access to `All repositories` and read and write permissions for `Administration` and `Content`.
+![GitHub token permissions](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mp6j0y0ntlzj1s16j12v.png)
+
+
+Add the mcp configuration in the directory on the file `.amazonq/mcp.json`.
+```
+{
+    "mcpServers": {
+      "github": {
+        "command": "docker",
+        "args": [
+          "run",
+          "-i",
+          "--rm",
+          "-e",
+          "GITHUB_PERSONAL_ACCESS_TOKEN",
+          "ghcr.io/github/github-mcp-server"
+        ],
+        "env": {
+          "GITHUB_PERSONAL_ACCESS_TOKEN": ""
+        }
+      }
+    }
+}
+```
+
+Start the docker engine on your machine as the github mcp server defined above needs docker.
+
+Launch `q` from the cli.
+```
+$ q
+```
+
+You should see that the mcp server is launched.
+```
+✓ github loaded in 0.33 s
+✓ 1 of 1 mcp servers initialized
+```
+
+This should have started a docker container for us.
+```
+$ docker ps | grep github
+76ff6beb314c   ghcr.io/github/github-mcp-server              "./github-mcp-server…"   26 seconds ago   Up 26 seconds                                                                                                   stupefied_heyrovsky
+```
+
+On the q-prompt if you enter `/tools` you should see the available tools including the MCP tools. Here is a glimpse.
+```
+github (MCP):
+- github___search_issues                      * not trusted
+- github___get_pull_request_reviews           * not trusted
+- github___get_code_scanning_alert            * not trusted
+- github___create_pull_request_review         * not trusted
+```
+
+There are certain built in tools as well, other than the mcp tools we installed.
+```
+Built-in:
+- execute_bash    * trust read-only commands
+- fs_write        * not trusted
+- use_aws         * trust read-only commands
+- fs_read         * trusted
+- report_issue    * trusted
+```
+
+Let's create a nextjs boilerplate app.
+```
+> create a new repo in github with name nextjs-new-app and put nextjs bolierplate code in it, with the github mcp server
+```
+
+For brevity, Iam not going to copy the complete response, but we will see some key details from it. First, it will try to create a repo and ask us for confirmation.
+```
+🛠️  Using tool: create_repository from mcp server github
+Allow this action? Use 't' to trust (always allow) this tool for the session. [y/n/t]:
+```
+
+We can press `y` to confirm. The repo is now created :fire:.
+![New repo](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pmjbn18o1c6bs33otz2l.png)
+
+Note that we could also trust the tool by pressing `t`, however it's better to confirm actions for now(human in the loop), so that we are sure what the action would do.
+
+Let's continue...
+
+Amazon Q would then try to push multiple files to our repo.
+```
+🛠️  Using tool: push_files from mcp server github
+```
+
+Press `y` again after the which the files are all there.
+
+![Repo with files](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5yy5xo2upur6nz7lpwbm.png)
+
+## Run the app locally
+Let's once try to run the app locally and see if it's all working, for which we have to clone it.
+```
+> clone the repo you just created and run the app
+🛠️  Using tool: execute_bash
+```
+
+It will then try to do a few actions with the `execute_bash` tool.
+```
+ ● I will run the following shell command: 
+cd /Users/networkandcode/app-onboarding-with-q && git clone https://github.com/networkandcode/nextjs-new-app.git
+
+ ● I will run the following shell command: 
+cd /Users/networkandcode/app-onboarding-with-q/nextjs-new-app && npm install
+
+ ● I will run the following shell command: 
+cd /Users/networkandcode/app-onboarding-with-q/nextjs-new-app && npm run dev
+```
+
+The app should have now started.
+```
+> y
+
+> nextjs-new-app@0.1.0 dev
+> next dev
+
+ ⚠ Port 3000 is in use, trying 3001 instead.
+  ▲ Next.js 14.2.28
+  - Local:        http://localhost:3001
+
+ ✓ Starting...
+ ✓ Ready in 2.7s
+```
+
+We can try accessing `http://localhost:3001` as shown above.
+![App running locally](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fkl13twnjzgvqbbvslmb.png)
+
+We can press ctrl c when done, so that we are back to the q prompt.
+We can type `/quit` or `/exit` on the q-prompt anytime to exit.
+
+Let's modify our code
+```
+> modify the code in the nextjs repo networkandcode/nextjs-new-app to show an analog clock on the home page with utc +5.30 time, note that it is written in typescript and has the src folder
+```
+
+It first tries to read the existing contents `🛠️  Using tool: get_file_contents from mcp server github`. Note that I resumed this exercise a bit later so had to give some extra context.
+
+And then it would try to update files `🛠️  Using tool: create_or_update_file from mcp server github`
+
+If we try running it again we should see the clock. Note that I have given a few more prompts to modify code.
+
+![Homepage showing clock](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/sft9vbghqapf28duvfa0.png)
+
+As next steps we could try deploying this app on platforms such as AWS Amplify(I think there is no MCP server as of this writing for Amplify deployments). Also, usually we write code first on the local system(we could use the [filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) mcp for that) and then push it to the git repo, however in this blog we tried the other way round.
diff --git a/_posts/2025-06-28/2025-06-28-a-simple-screening-agent-with-crewai.md b/_posts/2025-06-28/2025-06-28-a-simple-screening-agent-with-crewai.md
new file mode 100644
index 0000000..f2b065c
--- /dev/null
+++ b/_posts/2025-06-28/2025-06-28-a-simple-screening-agent-with-crewai.md
@@ -0,0 +1,136 @@
+---
+canonical_url: "https://dev.to/aws-builders/a-simple-screening-agent-with-crewai-539l"
+date: "2025-06-28"
+title: "A simple screening agent with CrewAI"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ft50zrclm9wcqyh44r0um.png"
+tags: "aws, llm, python, ai"
+categories: "aws, llm, python, ai"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/a-simple-screening-agent-with-crewai-539l)**
+
+Let's try a simple exercise with [CrewAI](https://www.crewai.com/) with a single agent and task, that parses information it has from [AWS docs](https://docs.aws.amazon.com/), and prepares a list of questions that could be used for basic screening during interviews. Of course we can do this with chatgpt, gemini etc. with their UI, but having some sort of a code can also help, for repeatable tasks, and for further refining the logic and automation. Also, we shall look into some basic concepts of CrewAI such as agents, tasks, crew as we do this. Let's get started! :rocket:
+
+Initialize a project with [uv](https://pypi.org/project/uv/) and switch directory.
+```
+$ uv init screening_agent
+$ cd screening_agent/ 
+
+$ ls -a
+.               ..              .git            .gitignore      .python-version main.py         pyproject.toml  README.md
+```
+
+Setup a virtual environment and activate it.
+```
+$ uv venv
+$ source .venv/bin/activate
+```
+
+Add crewai as dependency and install it.
+```
+$ cat pyproject.toml | grep dependencies
+dependencies = ["crewai==0.134.0"]
+
+$ uv lock
+
+$ uv sync  
+```
+
+## LLM
+I am using `gemini/gemma-3n-e2b-it` for this exercise, the API key for which was obtained from [Google AI studio](https://aistudio.google.com/apikey). We need to setup `.env` file to hold the key.
+```
+GOOGLE_API_KEY=
+```
+
+We can add the llm setup in a separate python file `llm.py`.
+```python
+import os
+from crewai import LLM
+from dotenv import load_dotenv
+
+load_dotenv()
+
+llm = LLM(
+    model='gemini/gemma-3n-e2b-it',
+    api_key=os.getenv('GOOGLE_API_KEY'),
+    temperature=0.0
+)
+```
+So we have read the api key from `.env` file and passed it to the LLM.
+
+## Agent
+We can then define our agent in `agents.py`. We are using only one agent in this exercise to keep it simple.
+```
+from crewai import Agent
+from llm import llm
+
+screening_agent = Agent(
+    role="Screening Agent for AWS interviews",
+    goal="Get content from AWS official documentation about the topics: {topics}",
+    backstory="You will explore relevant links from AWS official documentation https://docs.aws.amazon.com/ about the topics: {topics}"
+              "Try as much as possible to gather links that have information about all the topics on the same webpage"
+              "You will then prepare a total of 10 questions and their answers"
+              "The number of questions to be evenly split among the topics as much as possible"
+              "The length of each question should be 1 line"
+              "The length of the answer should also be 1 line"
+              "Display numbering for the questions from 1 to 10"
+              "You also need to capture the link from which that question and answer was prepared",
+	verbose=True,
+    llm=llm,
+)
+```
+All in plain English, we are setting proper context with the role, goal and backstory arguments. We are setting verbose to see somewhat detailed output while we run the code, and then map the llm we defined in the previous step. This means each agent can be mapped to a separate llm if required. Also, note that there is one parameter enclosed in curly braces `{topics}`, we will be passing this later as input when we initialize the crew.
+
+## Task
+Let's define our task in `tasks.py`, that will call the agent.
+```python
+from crewai import Task
+from agents import screening_agent
+
+screening_task = Task(
+    description=(
+        "Get key information about the topics: {topics}\n"
+        "Make the content understandable for non technical audience as well"
+        "As this task could be used by HR recruiters as well, for screening purposes"
+    ),
+    expected_output=(
+        "There should be 10 sections in the output"
+        "Each section should have Question:, Answer: and Reference Link:"
+    ),
+    agent=screening_agent
+)
+```
+Again in plain English, give appropriate context with the description and expected_output arguments. Note that `{topics}` is used here as well just like the agent.
+
+## Crew
+We finally have the starting point of our code in `main.py` where our crew will be defined. We need to map it with both the agents and tools. Note that we only have a single tool in this case, if there are more tools, those would be executed sequentially, by default.
+```python
+from crewai import Crew
+from agents import screening_agent
+from tasks import screening_task
+
+def main():
+    crew = Crew(
+        agents=[screening_agent],
+        tasks=[screening_task],
+    )
+    topics_list = ["Redshift, Glue, S3"]
+    topics = ', '.join(topics_list)
+
+    result = crew.kickoff(
+        inputs={"topics": topics}
+    )
+
+    with open('output.md', 'w') as f:
+        f.write(result.raw)
+    
+if __name__ == "__main__":
+    main()
+```
+
+Note that in the crew kickoff method, we are passing topics as input which we saw was referred to in both agent and tool configuration. In the code above we are trying to pass the topics as `Redshift, Glue, S3` which would be passed to the task and then to the agent, to retreive the questions and answers, we need for screening, the output is finally saved in a markdown file mentioned. Let's try runnig it with `uv run main.py`.
+![Screenshot of cli output](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0rd44e7qjfzhrpyk1sif.png)
+
+Here is a preview of the markdown generated.
+![Markdown preview](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/tqtmorbol094otk0ttuh.png)
+
+So that's the end of this post, hope it was beginner friendly, and we just navigated some fundamentals of CrewAI, we could explore further on this such as passing the topics via user input, build multi tool based agents, add tools, mcp, rag and see options for integrating it with UI based tools for day to day use. Thank you for reading!!!
diff --git a/_posts/2025-08-30/2025-08-30-otel-observability-with-langfuse-for-strands-agents.md b/_posts/2025-08-30/2025-08-30-otel-observability-with-langfuse-for-strands-agents.md
new file mode 100644
index 0000000..38a3a0a
--- /dev/null
+++ b/_posts/2025-08-30/2025-08-30-otel-observability-with-langfuse-for-strands-agents.md
@@ -0,0 +1,209 @@
+---
+canonical_url: "https://dev.to/aws-builders/otel-observability-with-langfuse-for-strands-agents-3eon"
+date: "2025-08-30"
+title: "OTEL Observability with Langfuse for Strands Agents"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fgc8douesqa70bbzs0d8l.png"
+tags: "aws, llm, mcp, monitoring"
+categories: "aws, llm, mcp, monitoring"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/otel-observability-with-langfuse-for-strands-agents-3eon)**
+
+Hi :wave:, in this post we shall see how to use Open Telemetry and Langfuse cloud to observe LLM calls made via Strands Agents.
+
+## UV
+Let's initialize our project with [uv](https://docs.astral.sh/uv/).
+```bash
+uv init strands-langfuse-demo
+```
+
+Copy the code shown in this [video](https://www.youtube.com/watch?v=aIEpu5o4fPU) to the project, so that the content looks like below. The final code for this lab is anyway [here](https://github.com/networkandcode/networkandcode.github.io/tree/e8c3871d779440cf0b324db564087d5109b3ac09/strands-examples/strands-langfuse-demo).
+```bash
+$ cd strands-langfuse-demo/
+
+$ ls -a
+.  ..  .env  .python-version  README.md  k8s_mcp_agent.py  k8s_mcp_app.py  main.py  pyproject.toml
+```
+
+Let's activate the virtual environment.
+```bash
+uv venv
+
+source .venv/bin/activate
+```
+
+We can now install these dependencies: [streamlit](https://pypi.org/project/streamlit/), [strands-agents](https://pypi.org/project/strands-agents/)
+```bash
+uv add streamlit==1.49.1
+uv add strands-agents[otel]==1.6.0
+```
+We are adding the extra otel here, as we need to enable telemetry.
+
+## K3S
+I am using [K3S](https://k3s.io/) for launching a single node kubernetes cluster.
+```bash
+curl -sfL https://get.k3s.io | sh - 
+```
+
+Let's copy the kubeconfig as we will be referring to this in our agent configuration.
+```bash
+sudo cp /etc/rancher/k3s/k3s.yaml .
+```
+
+## Langfuse
+Go to [Langfuse cloud](https://cloud.langfuse.com/) and create a new organization(for ex. my-org), inside that you can create a new project(for ex. my-llm-org). And generate api keys for the project.
+![Generate API keys for Langfuse project](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fic4nljne7f4v2t3ozsd.png)
+
+We need to add these variables in our env file. So it looks like below.
+```bash
+$ cat .env
+AWS_ACCESS_KEY_ID=""
+AWS_SECRET_ACCESS_KEY=""
+AWS_DEFAULT_REGION=us-west-2
+LANGFUSE_PUBLIC_KEY="pk-lf-.."
+LANGFUSE_SECRET_KEY="sk-lf-.."
+OTEL_EXPORTER_OTLP_ENDPOINT = "https://cloud.langfuse.com/api/public/otel"
+```
+
+Let's use this code to load the env vars and set the telemetry with otlp headers.
+```bash
+$ cat set_telemetry.py 
+```
+```python
+import os
+import base64
+
+from dotenv import load_dotenv
+from strands.telemetry import StrandsTelemetry
+
+
+def set_telemetry():
+    load_dotenv()
+
+    # Build Basic Auth header.
+    LANGFUSE_AUTH = base64.b64encode(
+        f"{os.environ.get('LANGFUSE_PUBLIC_KEY')}:{os.environ.get('LANGFUSE_SECRET_KEY')}".encode()
+    ).decode()
+    
+    # Configure OpenTelemetry endpoint & headers
+    os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization=Basic {LANGFUSE_AUTH}"
+
+    strands_telemetry = StrandsTelemetry()
+    strands_telemetry.setup_otlp_exporter()
+```
+
+Since we are loading env above, we can remove it from the agent code. These lines can be removed:
+```bash
+$ cat k8s_mcp_agent.py | grep dotenv
+from dotenv import load_dotenv
+        load_dotenv()
+```
+
+And replace it with the new file we added.
+```
+$ cat k8s_mcp_agent.py | grep telemetry
+from set_telemetry import set_telemetry
+        set_telemetry()
+```
+
+## Streamlit
+Let's now run our app.
+```bash
+streamlit run k8s_mcp_app.py
+```
+I tried a prompt to get the list of namespaces.
+![Check the list of namespaces from streamlit](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pkiyjm6olopb46l7nwse.png)
+
+We can see the trace for this in langfuse.
+![Trace on langfuse](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1mwtv3qdtfrxe4adfari.png)
+
+We can add some custom attributes to traces, let's add one by the name session.id with the trace_attributes argument.
+```
+import uuid
+
+self.agent = Agent(
+                callback_handler=None,
+                model="us.amazon.nova-micro-v1:0",
+                tools=tools,
+                trace_attributes={
+                    "session.id": str(uuid.uuid4()),
+                },
+            )
+```
+Which we can now see in the trace in the attributes section.
+![Session id in trace](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ybpj9dny9uazj59bcd0e.png)
+
+
+The final agent code will be:
+```bash
+$ cat k8s_mcp_agent.py 
+```
+```python
+import re
+
+from mcp import stdio_client, StdioServerParameters
+from strands import Agent
+from strands.tools.mcp import MCPClient
+import streamlit as st
+
+from set_telemetry import set_telemetry
+import uuid
+
+def remove_html_tags(text_with_html):
+    text_with_out_html = re.sub(r"<[^>]+>", "", text_with_html)
+    return text_with_out_html
+
+async def stream_result(stream):
+    result = ""
+    placeholder = st.empty()
+    async for chunk in stream:
+        if 'data' in chunk:
+            result += chunk['data']
+            result = remove_html_tags(result)
+            placeholder.write(result)
+
+
+class KubernetesMCPAgent:
+    def __init__(self):
+        set_telemetry()
+        server_params = {
+            "command": "npx",
+            "args": [
+                "-y",
+                "kubernetes-mcp-server@latest"
+            ],
+            "env": {
+                "KUBECONFIG": "k3s.yaml"
+            }
+        }
+        
+        self.stdio_mcp_client = MCPClient(lambda: stdio_client(
+            StdioServerParameters(
+                **server_params
+            )
+        ))
+
+        with self.stdio_mcp_client:
+            # Get the tools from the MCP server
+            tools = self.stdio_mcp_client.list_tools_sync()
+
+            # Create an agent with these tools
+            self.agent = Agent(
+                callback_handler=None,
+                model="us.amazon.nova-micro-v1:0",
+                tools=tools,
+                trace_attributes={
+                    "session.id": str(uuid.uuid4()),
+                },
+            )
+
+    
+    async def send_prompt(self, prompt):
+        with self.stdio_mcp_client:
+            stream = self.agent.stream_async(prompt)
+            await stream_result(stream)
+
+
+kubernetes_mcp_agent = KubernetesMCPAgent()
+```
+
+That's it for the post, hope we got some insights on LLM observability. Thank you for reading!
diff --git a/_posts/2025-09-14/2025-09-14-new-relic-template-for-strands.md b/_posts/2025-09-14/2025-09-14-new-relic-template-for-strands.md
new file mode 100644
index 0000000..cd4b708
--- /dev/null
+++ b/_posts/2025-09-14/2025-09-14-new-relic-template-for-strands.md
@@ -0,0 +1,75 @@
+---
+canonical_url: "https://dev.to/aws-builders/new-relic-template-for-strands-33p"
+date: "2025-09-14"
+title: "New Relic Template for Strands"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fi9xbqvhh5v0fdymwl5cp.png"
+tags: "aws, newrelic, mcp, kubernetes"
+categories: "aws, newrelic, mcp, kubernetes"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/new-relic-template-for-strands-33p)**
+
+Hi :wave:, we’ll see about observability with New Relic / OTEL, for Strands Agents that shows some quick insights such as tokens used, cost for the tokens(based on a static cost set as variable), request duration, errors etc.
+
+## Before you begin
+You can check this [video](https://www.youtube.com/watch?v=aIEpu5o4fPU) for explanantion of the poc app used here, basically we would be using kubernetes mcp to interact with a k3s cluster and opentelemetry will be enabled to generate observability, the observability part for strands was discussed in this [post](https://dev.to/aws-builders/otel-observability-with-langfuse-for-strands-agents-3eon) and this [video](https://www.youtube.com/watch?v=iidTHzkXB8k). Optionally, if you'd like to know how to collect data on New Relic through otel collector, please check this [post](https://dev.to/aws-builders/otel-demo-with-and-eks-and-newrelic-3j52).
+
+Ok, so what's new :thinking:, we have to just set the OTLP variables and modify the code a bit so that telemetry is sent to NewRelic endpoint. And a newrelic template was built to visualize the telemetry data. 
+
+## Code
+The code for the lab and the dashboard configuration is present [here](https://github.com/networkandcode/networkandcode.github.io/tree/b886650457ef0d0ae5c88aceb93eb510a3640201). You can clone and checkout as follows.
+```bash
+git clone https://github.com/networkandcode/networkandcode.github.io/tree/1014fbcffeda3b61d331421d2cc67d11ca98c597
+
+cd networkandcode.github.io/strands-examples/strands-newrelic-demo/
+
+git switch 1014fbc --detach
+
+$ ls -a
+.   .env.example     README.md         k8s_mcp_app.py  pyproject.toml    strands-agent-dashboard.json
+..  .python-version  k8s_mcp_agent.py  main.py         set_telemetry.py  uv.lock
+```
+
+## ENV
+You have to first get the API key of type *Ingest License* and set it  as `OTEL_EXPORTER_OTLP_HEADERS=api-key=`. So the env file would now be as follows.
+```bash
+$ cat .env
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
+AWS_DEFAULT_REGION=us-west-2
+
+OTEL_EXPORTER_OTLP_ENDPOINT="https://otlp.nr-data.net"
+OTEL_EXPORTER_OTLP_HEADERS=api-key=
+OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
+```
+
+The set_telemetry file is modified.
+```bash
+$ cat set_telemetry.py
+```
+```python
+from dotenv import load_dotenv
+from strands.telemetry import StrandsTelemetry
+
+def set_telemetry():
+    load_dotenv()
+    strands_telemetry = StrandsTelemetry()
+    strands_telemetry.setup_otlp_exporter()
+```
+
+## Run 
+We can now run the app, send some prompts.
+```bash
+$ uv run streamlit run k8s_mcp_app.py
+```
+![Streamlit screenshot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/h15z2kwqfbbc4u5e3s8m.png)
+
+## Newrelic
+Telemetry data should now flow to newrelic, we can visualize data :bar_chart: and here is a screenshot from the dashboard.
+![Newrelic dashboard screenshot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8358gcxok1kbwvukha26.png)
+
+It's a single dashboard with 3 pages :card_index_dividers: to show App level, Request(Trace) level and Operation(Span) level data. The dashboard is available as json here:
+```bash
+$ ls strands-agent-dashboard.json 
+strands-agent-dashboard.json
+```
+And this can be imported to newrelic as new dashboard. You may have a look and inform if they are any errors in the dashboard. Ok so that's it for the post, thank you :handshake: for reading.
diff --git a/_posts/2025-09-29/2025-09-29-sample-rag-app-with-strands-reflex-and-s3.md b/_posts/2025-09-29/2025-09-29-sample-rag-app-with-strands-reflex-and-s3.md
new file mode 100644
index 0000000..f8acabb
--- /dev/null
+++ b/_posts/2025-09-29/2025-09-29-sample-rag-app-with-strands-reflex-and-s3.md
@@ -0,0 +1,61 @@
+---
+canonical_url: "https://dev.to/aws-builders/sample-rag-app-with-strands-reflex-and-s3-4n6m"
+date: "2025-09-29"
+title: "🚀 Sample RAG app with Strands, Reflex and S3"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fplmpseutf6t7krfzwt79.webp"
+tags: "aws, rag, vectordatabase, llm"
+categories: "aws, rag, vectordatabase, llm"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/sample-rag-app-with-strands-reflex-and-s3-4n6m)**
+
+Hi :wave:, these are some setup instructions for the app that lets store some notes for subjects 📚 in S3 as vectordb and query it with Strands. You may checkout the code [here](https://github.com/networkandcode/studynotes).
+
+First goto S3 >> Vector buckets, and create a vector bucket there and give it some name such as *studynotes*.
+
+Create an index there with dimension *1024*, this is going to be the size of the embedding vector.
+
+Let's now clone the app and switch the directory.
+```bash
+git clone https://github.com/networkandcode/studynotes.git
+cd studynotes
+```
+
+So we now have the following for our `.env` file, add it here.
+```bash
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
+AWS_DEFAULT_REGION="us-west-2"
+AWS_S3_VECTOR_BUCKET_NAME=studynotes
+AWS_S3_VECTOR_INDEX_NAME=books
+```
+
+*Note that its using nova micro in the app for the LLM calls, so make sure it's allowed in Bedrock.*
+
+⚡ Run the app with uv/reflex.
+```bash
+uv run reflex run
+
+Creating virtual environment at: .venv
+
+App running at: http://localhost:3000/
+Backend running at: http://0.0.0.0:8000
+```
+
+You can now access the app at http://localhost:3000/.
+
+
+A few screenshots below.
+
+## Home page
+![Home page](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/183u2jwmg0mqilwser22.png)
+
+## Subjects
+![Subjects page](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/q5usmgtmn3tektkaffdk.png)
+
+## Upload notes
+![Notes page](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/en5jp0mhhc68g4lz6thf.png)
+
+## Chat
+![Chat page](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s71em8qqellrnex21v5a.png)
+
+Ok, so that's it for the post. This was done mainly to see how we can use S3 vector with python for RAG. The code related to S3 vector operations is in this [file](https://github.com/networkandcode/studynotes/blob/4dc9682d6db0b63c8aac7fb1fa3edce76a1553eb/s3_vectors.py). The app may not be perfect yet, needs some improvement.
diff --git a/_posts/2026-05-03/2026-05-03-query-db-with-natural-language-using-aws-bedrock-structured-kb-glue-and-redshift.md b/_posts/2026-05-03/2026-05-03-query-db-with-natural-language-using-aws-bedrock-structured-kb-glue-and-redshift.md
new file mode 100644
index 0000000..3a2067f
--- /dev/null
+++ b/_posts/2026-05-03/2026-05-03-query-db-with-natural-language-using-aws-bedrock-structured-kb-glue-and-redshift.md
@@ -0,0 +1,219 @@
+---
+canonical_url: "https://dev.to/aws-builders/aws-bedrock-kb-with-glue-data-catalog-1j9g"
+date: "2026-05-03"
+title: "Query DB with Natural Language using AWS Bedrock structured KB, Glue, and Redshift"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fftf9swslpsu8qscuqilh.png"
+tags: "aws, sql, claude, ai"
+categories: "aws, sql, claude, ai"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/aws-bedrock-kb-with-glue-data-catalog-1j9g)**
+
+Hi :wave:, In this post we shall explore Bedrock's structured KB with this architecture: `Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM`.
+
+## Setup
+Let's do some of this with code. Let's get started.
+
+Clone the repo and switch to the project directory.
+```bash
+git clone git@github.com:networkandcode/networkandcode.github.io.git
+cd structured-kb-demo/
+```
+
+Do a [uv](https://docs.astral.sh/uv/getting-started/installation/) sync.
+```bash
+uv sync
+```
+
+Setup [environment](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/.env.example) variables.
+```bash
+$ cat .env
+AWS_ACCOUNT_ID=
+AWS_ACCESS_KEY_ID=
+AWS_REGION=ap-south-1
+AWS_SECRET_ACCESS_KEY=
+
+BEDROCK_KB=StructKb
+BEDROCK_KB_IAM_POLICY=StructKbIamPolicy
+BEDROCK_KB_IAM_ROLE=StructKbIamRole
+
+GLUE_CRAWLER=struct-kb-glue-crawler
+GLUE_CRAWLER_IAM_POLICY=StructKbGlueCrawlerIamPolicy
+GLUE_CRAWLER_IAM_ROLE=StructKbGlueCrawlerIamRole
+GLUE_DB=struct-kb-glue-db
+
+REDSHIFT_IAM_ROLE=StructKbRedshiftIamRole
+REDSHIFT_NAMESPACE=struct-kb-rs-ns
+REDSHIFT_WORKGROUP=struct-kb-rs-wg
+
+S3_BUCKET=struct-kb-bucket
+S3_FOLDER=inventory
+
+SQS_QUEUE=struct-kb-queue
+```
+
+## Common files
+The [vars](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/vars.py) file will load all the env vars once. The [arns](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/arns.py) file is used to form some of the arns we need. And the logger file is used to setup a common [logger](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/logger.py) for rest of the code.
+
+## Bucket
+Setup an S3 [bucket](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_s3_bucket.py).
+```bash
+uv run setup_s3_bucket.py 
+```
+```bash
+INFO:logger:Bucket struct-kb-s3-bucket created successfully
+```
+
+## Queue
+Setup an SQS [queue](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_sqs_queue.py) with an access policy that allows the S3 bucket to send message to it.
+```bash
+uv run setup_sqs_queue.py
+```
+```bash
+INFO:logger:Queue created successfully.
+```
+
+## Event notification
+Update S3 bucket to [notify](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_s3_event_notification.py) SQS queue on events.
+```bash
+uv run setup_s3_event_notification.py
+```
+```plaintext
+INFO:logger:Successfully added event notifications
+```
+
+## Database
+Setup a glue [database](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_glue_db.py).
+```bash
+uv run setup_glue_db.py
+```
+```bash
+INFO:logger:Glue database created successfully.
+```
+
+## Crawler
+Setup an IAM [policy](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_glue_crawler_iam_policy.py) that allows access to the S3 bucket and SQS queue.
+```bash
+uv run setup_glue_crawler_iam_policy.py
+```
+```bash
+INFO:logger:Policy created successfully!
+```
+
+Setup an IAM [role](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_glue_crawler_iam_role.py) which attaches the policy we just defined as well as the AWS managed glue policy.
+```bash
+uv run setup_glue_crawler_iam_role.py
+```
+```bash
+INFO:logger:Created role
+INFO:logger:AWS Glue Service Role policy attached.
+INFO:logger:Custom Glue Crawler policy attached.
+```
+
+We can now provision a glue [crawler](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_glue_crawler.py) and attach the role above to it.
+```bash
+uv run setup_glue_crawler.py
+```
+```bash
+INFO:logger:Crawler created successfully.
+```
+
+## Redshift
+We shall setup a RedShift IAM [role](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_redshift_iam_role.py) by attaching the AWS managed policy to it.
+```bash
+uv run setup_redshift_iam_role.py
+```
+```bash
+INFO:logger:Created role: StructKbRedshiftIamRole
+INFO:logger:Attached AmazonRedshiftAllCommandsFullAccess to StructKbRedshiftIamRole
+```
+Provision a namespace, attach the role above to it, and also provision a [workgroup](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_redshift_workgroup.py) to run the namespace workloads on it.
+```bash
+uv run setup_redshift_workgroup.py 
+```
+```bash
+INFO:logger:Namespace creation initiated.
+INFO:logger:Workgroup creation initiated.
+```
+
+## See the data
+There are two small files with sample inventory data: [inventory1](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/inventory_day_1.csv), [inventory2](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/inventory_day_2.csv).
+Let's [upload](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/upload_csv_to_s3.py) the first one.
+```bash
+uv run upload_csv_to_s3.py inventory_day_1.csv 
+```
+```bash
+Upload Successful: inventory/inventory_day_1.csv
+```
+
+[Run](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/run_glue_crawler.py) the crawler so that it fetches data from S3 and adds a table on glue database.
+```bash
+uv run run_glue_crawler.py
+```
+```bash
+INFO:logger:Crawler started.
+INFO:logger:Crawler is still running...
+INFO:logger:Crawler is still running...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler is stopping...
+INFO:logger:Crawler finished. Final State: READY
+```
+
+We did a lot with the cli, let's do some verification from the gui, on the web console. We can see the table on the glue db in the hirerarchy `AWS Glue > Data Catalog > Tables`.
+![Table on glue db](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nahmbdtn7si7ub8qbug1.png)
+
+Now, go to `Amazon Redshift > Serveless > Query editor v2` Click on the workspace, and use the default settings to connect. Run this command on the editor:
+```sql
+SELECT * FROM "awsdatacatalog"."struct-kb-glue-db"."inventory"
+```
+In my case the table name is inventory which is same as the s3 folder name. I got results like below.
+![Redshift query result for 1 day](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/v9d9514msscvnwdt2mod.png)
+Note that there are 10 records.
+
+## Incremental data
+Now, let's add another csv file for [day 2](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/inventory_day_2.csv).
+```bash
+uv run upload_csv_to_s3.py inventory_day_2.csv 
+```
+The SQS queue shoud show there is one message available.
+![SQS queue status before crawler run](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9n0yebymrq0ehmxb6wr2.png)
+
+We can run the crawler to fetch the change.
+```bash
+uv run run_glue_crawler.py 
+```
+The SQS messages available should become 0.
+![SQS status after crawler run](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nrz227ew4asna6tys4cd.png) 
+
+The same query in redshift should now give 20 records.
+![Redshift query result for 2 days](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/n1afel59aym0y0hqjg25.png)
+
+## Bedrock KB
+We got the results in redshift editor through the command. We can try to retrieve results via Bedrock KB through natural language.
+
+Setup IAM [policy](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_bedrock_kb_iam_policy.py) for bedrock kb.
+```bash
+uv run setup_bedrock_kb_iam_policy.py 
+```
+
+Setup IAM [role](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_bedrock_kb_iam_role.py) and attach this policy.
+```bash
+uv run setup_bedrock_kb_iam_role.py
+```
+```bash
+INFO:logger:Created role: StructKbBedrockKbIamRole
+INFO:logger:Attached IAM policy to BedrockKB IAM role.
+```
+
+Create and sync the [knowlege base](https://github.com/networkandcode/networkandcode.github.io/blob/main/structured-kb-demo/setup_bedrock_kb.py).
+```shell
+uv run setup_bedrock_kb.py
+```
+We can go to `Amazon Bedrock > Knowledge Bases` on the web console and click on the knowledge base that was created. And test the knowledge base, I've used the following settings with a test prompt.
+![Test knowledge base](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/55e1y3zwcxjl84gpnych.png)
+
+Alright, so that's it for this post, it was somewhat a heavy exercice overall, but I think it would help us really when we have large data, than the simple data examples we have used. So far we tested with the test prompt option in the bedrock kb, we could expand this logic and use this KB with agents made using frameworks like strands, langgraph...Thank you for reading!
diff --git a/_posts/2026-05-24/2026-05-24-basics-of-gemma-4-with-google-adk.md b/_posts/2026-05-24/2026-05-24-basics-of-gemma-4-with-google-adk.md
new file mode 100644
index 0000000..b264a7a
--- /dev/null
+++ b/_posts/2026-05-24/2026-05-24-basics-of-gemma-4-with-google-adk.md
@@ -0,0 +1,169 @@
+---
+canonical_url: "https://dev.to/networkandcode/basics-of-gemma-4-with-google-adk-4jh4"
+date: "2026-05-24"
+title: "Basics of Gemma 4 with Google ADK"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fow4r7ol7woqw415ci70z.png"
+tags: "devchallenge, gemmachallenge, gemma, googlecloud"
+categories: "devchallenge, gemmachallenge, gemma, googlecloud"
+---
+**This post first appeared on [dev.to](https://dev.to/networkandcode/basics-of-gemma-4-with-google-adk-4jh4)**
+
+*This is a submission for the [Gemma 4 Challenge: Write About Gemma 4](https://dev.to/challenges/google-gemma-2026-05-06)*
+
+Nothing fancy here :), we  shall just explore how to use gemma4 with adk, in a step by step way, to learn the basics.
+
+I am not going to install and run gemma4 locally(we shall discuss a few options at the end), I'd rather use the [google api](https://ai.google.dev/gemini-api/docs/pricing#gemma-4) with it, which is currently available through the free tier.
+
+Let's initialize a uv [project](https://github.com/networkandcode/networkandcode.github.io/tree/main/gemma4-try) and set that as the current directory.
+```shell
+uv init gemma4-try
+cd gemma4-try
+```
+
+Get an API key from the Google AI studio, and use it in .env.
+```console
+$ cat .env      
+GOOGLE_API_KEY=
+```
+
+Add the packages
+```shell
+uv add python-dotenv google-adk
+```
+Here is our [agent](https://github.com/networkandcode/networkandcode.github.io/blob/main/gemma4-try/agent.py) code, we are setting the gemma4 model..
+```python
+$ cat agent.py 
+from google.adk import Agent
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from vars import (
+    AGENT_NAME,
+    MODEL,
+)
+
+search_agent = Agent(
+    name=AGENT_NAME,
+    model=MODEL,
+)
+```
+The agent would be initialized with the code above, with a specific agent name and attached to a specific model, which are mentioned on a different [vars](https://github.com/networkandcode/networkandcode.github.io/blob/main/gemma4-try/vars.py) file.
+```python
+$ cat vars.py
+AGENT_NAME="test_agent"
+APP_NAME = "test_app"
+MODEL="gemma-4-31b-it" # gemma-4-26b-a4b-it is also supported
+SESSION_ID = "test_session"
+USER_ID = "test_user"
+```
+
+We then have the [runner](https://github.com/networkandcode/networkandcode.github.io/blob/main/gemma4-try/runner.py) code, using which we will invoke the agent. The runner will also have a appname and session service associated with it.
+```python
+$ cat runner.py 
+from google.adk.runners import Runner
+
+from agent import search_agent
+from session_service import session_service
+from vars import (
+    APP_NAME, 
+)
+
+runner = Runner(
+    agent=search_agent,
+    app_name=APP_NAME,
+    session_service=session_service
+)
+```
+
+The [session](https://github.com/networkandcode/networkandcode.github.io/blob/main/gemma4-try/session_service.py) service is defined in a different file. For simplicity we'd be using an in memory session service.
+```python
+$ cat session_service.py 
+from google.adk.sessions import InMemorySessionService
+
+session_service = InMemorySessionService()
+```
+
+Our final code is the app's entry point, [main.py](https://github.com/networkandcode/networkandcode.github.io/blob/main/gemma4-try/main.py).
+```python
+$ cat main.py 
+import asyncio
+
+from google.genai import types
+
+from runner import runner
+from session_service import session_service
+from vars import (
+    APP_NAME,
+    SESSION_ID,
+    USER_ID,
+)
+    
+async def main():
+    await session_service.create_session(
+        app_name=APP_NAME,
+        user_id=USER_ID,
+        session_id=SESSION_ID
+    )
+    
+    while True:
+        user_message = input("User: ")
+        content = types.Content(role='user', parts=[types.Part(text=user_message)])
+        
+        async for event in runner.run_async(user_id=USER_ID, session_id=SESSION_ID, new_message=content):
+            if event.is_final_response():
+                if event.content and event.content.parts:
+                    for part in event.content.parts:
+                        if (not part.thought):
+                            print(part.text)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+All it does is, create a session first for test_app, test_user and test_session. And then it would invoke the agent via the runner and just print the final response with out the thinking output. If we also print `part.text`, when `part.thought` is true, it would print everything that the model goes through...
+
+Let's run it.
+```console
+$ uv run main.py 
+User: hello, how are you
+Hello! I am test_agent. I'm doing well, thank you for asking! How can I help you today?
+User: tell me abt yourself
+I am an AI agent, and for our current interaction, my internal name is **test_agent**.
+
+Essentially, I am a large language model trained to process information, answer questions, and assist with a wide variety of tasks. You can think of me as a versatile digital assistant. 
+
+**Here are a few things I can help you with:**
+*   **Answering Questions:** From complex scientific topics to general trivia.
+*   **Writing & Editing:** I can help you draft emails, write stories, polish essays, or create professional documents.
+*   **Problem Solving & Coding:** I can help write, debug, or explain code in various programming languages.
+*   **Brainstorming:** If you're stuck on an idea for a project or a gift, I can give you a list of suggestions.
+*   **Summarization:** Give me a long text, and I can boil it down to the key points.
+
+I don't have personal feelings, beliefs, or a physical form, but I am designed to be helpful, objective, and efficient. 
+
+Is there anything specific you'd like to test my capabilities on?
+User: ^Z
+```
+
+Cool, so it works great. It also supports image & tool calling, can try may be some other time...
+
+Although you can access gemma4 via the free tier in google API, sometimes you may get an internal server error from Google API with the free tier, it'd be better to host it on platforms such as model garden, ollama or use paid APIs though platforms such as Open router. I'd prefer APIs instead of hosting, as it may come with pay as you go offerings. I tried downloading the model with ollama with these instructions:
+```shell
+brew install ollama
+ollama serve # keep this open
+ollama run gemma4
+```
+However I didn't quite continue with the API, as my system was getting a bit slow...
+
+## Model garden
+Some notes about model garden, if you'd like to try...
+Go to VertexAI model registry, hmm I think there is some change in there product names :), it's actually inside Agent Platform... Enable all APIs here.. And then go to model garden, search for Gemma4 and deploy it.
+![Gemma4 on Model garden](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ypjnj45v5z4mga7ari1j.png)
+Don't forget to delete this deployment, once you are done with your work to aovid compute charge...
+
+Once the model is deployed there should be an endpoint created. You can then use the steps [here](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start) to invoke the model. However we are not following this method here, in this post.
+
+Thank you for reading!
+
+Image credit: a quick prompt on excallidraw with some refining on gemini.
diff --git a/_posts/2026-06-07/2026-06-07-simple-a2a-implementation-with-strands.md b/_posts/2026-06-07/2026-06-07-simple-a2a-implementation-with-strands.md
new file mode 100644
index 0000000..cb3bea0
--- /dev/null
+++ b/_posts/2026-06-07/2026-06-07-simple-a2a-implementation-with-strands.md
@@ -0,0 +1,225 @@
+---
+canonical_url: "https://dev.to/aws-builders/simple-a2a-implementation-with-strands-2n7"
+date: "2026-06-07"
+title: "Simple A2A implementation with Strands"
+cover_image: "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fi8ymeydsxm4rg7pnh9sb.png"
+tags: "ai, aws, agentskills, llm"
+categories: "ai, aws, agentskills, llm"
+---
+**This post first appeared on [dev.to](https://dev.to/aws-builders/simple-a2a-implementation-with-strands-2n7)**
+
+A2A has become like a standard for enabling agent to agent communication, we could use the a2a-sdk for running and configuring the a2a server and its features such as agent card, agent skills, agent executor, request handler etc. However we are going to go with a simplified approach here with strands where the agent card will be fetched automatically. Let's get started!
+
+## Server
+Initialize a uv project for the a2a server and switch to that directory.
+```shell
+uv init ~/strands-a2a-server
+cd ~/strands-a2a-server 
+```
+
+Add the required packages.
+```shell
+uv add python-dotenv==1.2.2 strands-agents[a2a]==1.42.0
+```
+
+Change the code in `main.py` to look like below.
+```python
+$ cat main.py 
+from dotenv import load_dotenv
+from strands import Agent
+from strands.multiagent.a2a import A2AServer
+
+load_dotenv()
+
+def main():
+    agent = Agent(
+        callback_handler=None,
+        description="A sample strands agent",
+        model="us.amazon.nova-micro-v1:0",
+    )
+    a2a_server = A2AServer(agent=agent)
+    a2a_server.serve()
+
+if __name__ == "__main__":
+    main()
+```
+
+I like the simplicity here, as you see above, it's quite simple to start a basic a2a server from with in strands, with just a couple of lines of code, we didn't have to install the [a2a-sdk](https://pypi.org/project/a2a-sdk/) separately.
+
+Run the code, to start the a2a server.
+```console
+$ uv run main.py 
+
+INFO:     Started server process [18006]
+INFO:     Waiting for application startup.
+INFO:     Application startup complete.
+INFO:     Uvicorn running on http://127.0.0.1:9000 (Press CTRL+C to quit)
+```
+
+## Client
+Let's now do the client part on a separate terminal. Initialize the project and switch the directory.
+```shell
+uv init ~/strands-a2a-client
+cd ~/strands-a2a-client
+```
+
+Modify `main.py` code to look as follows.
+```python
+import asyncio
+
+from strands.agent.a2a_agent import A2AAgent
+
+async def main():
+    agent = A2AAgent(endpoint="http://localhost:9000")
+    agent_card = await agent.get_agent_card()
+    
+    print("Invoking remote agent with agent card:")
+    for key, value in agent_card:
+        print(key, ":", value)
+    print('-' * 20)
+    
+    while True:
+        prompt = input("User: ")
+        if prompt.lower() == "exit":
+            break
+            
+        async for event in agent.stream_async(prompt):
+            if "result" in event:
+                print("AI: ", event["result"], end="", flush=True)
+
+            
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+We just call the remote endpoint, which is our a2a server, and iterate through the stream. We are also retrieving and printing the agent card of the remote agent.
+
+Run the code.
+```console
+$ uv run main.py 
+Invoking remote agent with agent card:
+additional_interfaces : None
+capabilities : extensions=None push_notifications=None state_transition_history=None streaming=True
+default_input_modes : ['text']
+default_output_modes : ['text']
+description : A sample strands agent
+documentation_url : None
+icon_url : None
+name : my strands agent
+preferred_transport : JSONRPC
+protocol_version : 0.3.0
+provider : None
+security : None
+security_schemes : None
+signatures : None
+skills : []
+supports_authenticated_extended_card : None
+url : http://127.0.0.1:9000/
+version : 0.0.1
+--------------------
+User: hi, tell me abt yourself in a single line
+AI:  I'm an artificial intelligence system designed to assist and provide information on a wide range of topics.
+
+User: exit
+```
+
+## Tools
+As you see in the output above, for now the remote agent card didn't show any skills, we can add a tool on the server and the a2a wrapper in strands should automatically convert that to skills. So, we don't have to define the skills manually and can save some effort here. Let's try that. For simplicity I am going to use a built in tool from strands itself, let's add that package. Before this,  You can stop the server first with ctrl c if it's running...
+```shell
+uv add strands-agents-tools==0.8.0
+```
+
+We shall do a couple of changes in `main.py` of the a2a server. We have to import the tool at the top.
+```python
+from strands_tools import http_request
+```
+
+And we just need to use this in the agent.
+```python
+ tools=[http_request],
+```
+
+So our updated code will look like:
+```python
+$ cat main.py
+from dotenv import load_dotenv
+from strands import Agent
+from strands.multiagent.a2a import A2AServer
+from strands_tools import http_request
+
+load_dotenv()
+
+def main():
+    agent = Agent(
+        callback_handler=None,
+        description="A sample strands agent",
+        model="us.amazon.nova-micro-v1:0",
+        name="my strands agent",
+        tools=[http_request],
+    )
+    a2a_server = A2AServer(agent=agent)
+    a2a_server.serve()
+
+if __name__ == "__main__":
+    main()
+```
+
+We can run the server again with `uv run main.py`.
+
+Run the client as well, in a different terminal.
+```console
+$ uv run main.py 
+
+Invoking remote agent with agent card:
+additional_interfaces : None
+capabilities : extensions=None push_notifications=None state_transition_history=None streaming=True
+default_input_modes : ['text']
+default_output_modes : ['text']
+description : A sample strands agent
+documentation_url : None
+icon_url : None
+name : my strands agent
+preferred_transport : JSONRPC
+protocol_version : 0.3.0
+provider : None
+security : None
+security_schemes : None
+signatures : None
+skills : [AgentSkill(description='Make HTTP requests to any API with comprehensive authentication including Bearer tokens, Basic auth, JWT, AWS SigV4, Digest auth, and enterprise authentication patterns. Includes session management, metrics, streaming support, cookie handling, redirect control, proxy support, and optional HTML to markdown conversion.', examples=None, id='http_request', input_modes=None, name='http_request', output_modes=None, security=None, tags=[])]
+supports_authenticated_extended_card : None
+url : http://127.0.0.1:9000/
+version : 0.0.1
+--------------------
+User: 
+
+```
+
+If you see above, it automatically picked the skill from the added tool. It seems like a cool feature. Let's try some prompt.
+```plaintext
+User: check fruityvice.com and find out the fruit that has more calories      
+AI:   The data retrieved from the website provides a list of fruits along with their nutritional information, including calories. To determine which fruit has the most calories, I need to iterate through the list and compare the calorie values.
+
+After reviewing the list of fruits and their calorie content, it appears that **Hazelnut** has the highest calorie count with **628 calories**.
+
+Here is the information for the fruit with the most calories:
+- **Name**: Hazelnut
+- **Family**: Betulaceae
+- **Order**: Fagales
+- **Genus**: Corylus
+- **Nutritions**:
+  - Calories: 628
+  - Fat: 61.0
+  - Sugar: 4.3
+  - Carbohydrates: 17.0
+  - Protein: 15.0
+
+Therefore, the fruit that has the most calories on fruityvice.com is **Hazelnut**.
+
+User: exit
+```
+
+Cool, it's working... Ok, so that's it for this post. We just used the features within strands to create an a2a server, and then we created a client with strands itself, and were able to communicate and get a response back from the server, and were also able to get it's agent card and skills automatically with out defining them. Thank you for reading..
+
+Check out a few videos on Strands [here](https://youtube.com/playlist no?list=PLyRMqMV_QR0U4oB2XXYho4ULeyQBMyH30&si=URLtH4de_bHWF4sP)
+
+Image credit: excallidraw.
diff --git a/_posts/aws/2021-10-16-aws-eks-setup-cluster-and-deploy-owasp-juice-shop.md b/_posts/aws/2021-10-16-aws-eks-setup-cluster-and-deploy-owasp-juice-shop.md
index 7f8c82e..6fac08d 100644
--- a/_posts/aws/2021-10-16-aws-eks-setup-cluster-and-deploy-owasp-juice-shop.md
+++ b/_posts/aws/2021-10-16-aws-eks-setup-cluster-and-deploy-owasp-juice-shop.md
@@ -1,6 +1,6 @@
 ---
-categories: aws eks
-title: aws eks > setup cluster and deploy owasp juice shop
+categories: "aws eks"
+title: "aws eks > setup cluster and deploy owasp juice shop"
 ---
 
 Let's setup an EKS cluster and then install the 
diff --git a/_posts/aws/2021-11-14-aws-ec2-launch-instances-the-hard-way-with-cli.md b/_posts/aws/2021-11-14-aws-ec2-launch-instances-the-hard-way-with-cli.md
index 6033a5a..17ad8c9 100644
--- a/_posts/aws/2021-11-14-aws-ec2-launch-instances-the-hard-way-with-cli.md
+++ b/_posts/aws/2021-11-14-aws-ec2-launch-instances-the-hard-way-with-cli.md
@@ -1,6 +1,6 @@
 ---
-categories: aws ec2
-title: aws ec2 > launch instances the hard way with cli
+categories: "aws ec2"
+title: "aws ec2 > launch instances the hard way with cli"
 ---
 
 Hey All :wave:, in this post we shall launch 3 AWS EC2 instances and test SSH connectivity to those...
diff --git a/_posts/aws/2021-12-05-aws-iam-setup-user-via-cli.md b/_posts/aws/2021-12-05-aws-iam-setup-user-via-cli.md
index 70f726c..8fd0c00 100644
--- a/_posts/aws/2021-12-05-aws-iam-setup-user-via-cli.md
+++ b/_posts/aws/2021-12-05-aws-iam-setup-user-via-cli.md
@@ -1,6 +1,6 @@
 ---
-title: aws iam > setup user via cli
-categories: aws
+title: "aws iam > setup user via cli"
+categories: "aws"
 ---
 
 Hey all, :wave: we shall see the following in this post: :scroll:
diff --git a/_posts/kubernetes/.2021-08-14-kubernetes-build-a-private-docker-registry.md b/_posts/kubernetes/.2021-08-14-kubernetes-build-a-private-docker-registry.md
index 09c17ec..e33eec5 100644
--- a/_posts/kubernetes/.2021-08-14-kubernetes-build-a-private-docker-registry.md
+++ b/_posts/kubernetes/.2021-08-14-kubernetes-build-a-private-docker-registry.md
@@ -1,6 +1,6 @@
 ---
-#title: kubernetes > build a private docker registry
-#categories: kubernetes
+#title: "kubernetes > build a private docker registry"
+#categories: "kubernetes"
 ---
 
 Let's see how we can build our own private docker registry as a kubernetes workload. You need 
diff --git a/_posts/kubernetes/2020-08-17-kubernetes-set-user-and-group-with-security-context.md b/_posts/kubernetes/2020-08-17-kubernetes-set-user-and-group-with-security-context.md
index 2def04e..0d6ab9b 100644
--- a/_posts/kubernetes/2020-08-17-kubernetes-set-user-and-group-with-security-context.md
+++ b/_posts/kubernetes/2020-08-17-kubernetes-set-user-and-group-with-security-context.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > set user and group with security context
-categories: kubernetes
+title: "kubernetes > set user and group with security context"
+categories: "kubernetes"
 ---
 
 We are going to enhance security in a running container with the use of security context, by setting the user and group for running processes and filesystem in the container.
diff --git a/_posts/kubernetes/2021-03-18-kubernetes-retrieve-container-image-inventory.md b/_posts/kubernetes/2021-03-18-kubernetes-retrieve-container-image-inventory.md
index fe75914..bd66205 100644
--- a/_posts/kubernetes/2021-03-18-kubernetes-retrieve-container-image-inventory.md
+++ b/_posts/kubernetes/2021-03-18-kubernetes-retrieve-container-image-inventory.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes >  retrieve container image inventory
-categories: kubernetes
+title: "kubernetes >  retrieve container image inventory"
+categories: "kubernetes"
 ---
 We would be using kubectl and then write some Python code to retrieve the list of images of containers 
 running in a GKE Kubernetes cluster. Some familiarity with YAML, Python, Kubectl and fundamentals of 
diff --git a/_posts/kubernetes/2021-08-07-kubernetes-launch-a-cluster-with-kind.md b/_posts/kubernetes/2021-08-07-kubernetes-launch-a-cluster-with-kind.md
index cd0da0a..03f4788 100644
--- a/_posts/kubernetes/2021-08-07-kubernetes-launch-a-cluster-with-kind.md
+++ b/_posts/kubernetes/2021-08-07-kubernetes-launch-a-cluster-with-kind.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > launch a cluster with kind
-categories: kind
+title: "kubernetes > launch a cluster with kind"
+categories: "kind"
 ---
 
 We can launch a cluster easily with kind on our Linux system. Lets see how to do it.
diff --git a/_posts/kubernetes/2021-08-07-owasp-juice-shop-run-as-pod.md b/_posts/kubernetes/2021-08-07-owasp-juice-shop-run-as-pod.md
index b6dd78c..86d52c9 100644
--- a/_posts/kubernetes/2021-08-07-owasp-juice-shop-run-as-pod.md
+++ b/_posts/kubernetes/2021-08-07-owasp-juice-shop-run-as-pod.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop > run as pod
-categories: owasp juice shop
+title: "owasp juice shop > run as pod"
+categories: "owasp juice shop"
 ---
 
 In this post, we will see h
diff --git a/_posts/kubernetes/2021-08-15-kubernetes-bootstrap-a-cluster-with-rke.md b/_posts/kubernetes/2021-08-15-kubernetes-bootstrap-a-cluster-with-rke.md
index 3eb2029..235a220 100644
--- a/_posts/kubernetes/2021-08-15-kubernetes-bootstrap-a-cluster-with-rke.md
+++ b/_posts/kubernetes/2021-08-15-kubernetes-bootstrap-a-cluster-with-rke.md
@@ -1,7 +1,7 @@
 ---
-title: kubernetes > bootstrap a cluster with rke
-categories: kubernetes
-...
+title: "kubernetes > bootstrap a cluster with rke"
+categories: "kubernetes"
+---
 
 Rancher Kubernetes Engine ( RKE ) is a popular tool using which we can bootstrap kubernetes clusters 
 quickly. We are going to excatly see that in this post. Please ensure kubectl is installed in your 
diff --git a/_posts/kubernetes/2021-11-29-kubernetes-prerequisites-for-kubeadm-cluster-in-aws.md b/_posts/kubernetes/2021-11-29-kubernetes-prerequisites-for-kubeadm-cluster-in-aws.md
index 68e5ea4..00b4da9 100644
--- a/_posts/kubernetes/2021-11-29-kubernetes-prerequisites-for-kubeadm-cluster-in-aws.md
+++ b/_posts/kubernetes/2021-11-29-kubernetes-prerequisites-for-kubeadm-cluster-in-aws.md
@@ -1,6 +1,6 @@
 ---
-categories: kubernetes
-title: kubernetes > prerequisites for kubeadm cluster in aws
+categories: "kubernetes"
+title: "kubernetes > prerequisites for kubeadm cluster in aws"
 ---
 
 [kubeadm](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/) is one of the popular tools used for bootstrapping kubernetes, here we would be setting up the [prerequisites](https://theithollow.com/2020/01/13/deploy-kubernetes-on-aws/) on AWS that are essential before launching the cluster.
diff --git a/2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md b/_posts/kubernetes/2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md
similarity index 99%
rename from 2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md
rename to _posts/kubernetes/2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md
index a21ad7a..baed320 100644
--- a/2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md
+++ b/_posts/kubernetes/2021-12-04-kubernetes-bootstrap-cluster-with-kubeadm.md
@@ -1,6 +1,6 @@
 ---
-#title: kubernetes > bootstrap cluster in aws with kubeadm
-#categories: kubernetes
+#title: "kubernetes > bootstrap cluster in aws with kubeadm"
+#categories: "kubernetes"
 ---
 
 In this post, we would be installing the cluster in AWS with kubeadm, so please ensure the [prerequisites](\kubernetes-prerequisites-for-cluster-in-aws) are set.
diff --git a/_posts/kubernetes/access-control/2020-02-25-add-a-kubectl-user-with-token.md b/_posts/kubernetes/access-control/2020-02-25-add-a-kubectl-user-with-token.md
index 73ed397..22fdcbd 100644
--- a/_posts/kubernetes/access-control/2020-02-25-add-a-kubectl-user-with-token.md
+++ b/_posts/kubernetes/access-control/2020-02-25-add-a-kubectl-user-with-token.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > add a kubectl user with token
-categories: kubernetes
+title: "kubernetes > add a kubectl user with token"
+categories: "kubernetes"
 ---
 
 We are going to see how to add an extra kubectl user. 
diff --git a/_posts/kubernetes/access-control/2020-02-27-add-a-kubectl-user-with-tls.md b/_posts/kubernetes/access-control/2020-02-27-add-a-kubectl-user-with-tls.md
index 4a30754..1fbeb8e 100644
--- a/_posts/kubernetes/access-control/2020-02-27-add-a-kubectl-user-with-tls.md
+++ b/_posts/kubernetes/access-control/2020-02-27-add-a-kubectl-user-with-tls.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > add a user with tls
-categories: kubernetes
+title: "kubernetes > add a user with tls"
+categories: "kubernetes"
 ---
 
 In this exercise we would add an extra user to kubeconfig, that uses TLS for authentication. Its good to have some 
diff --git a/_posts/kubernetes/access-control/2020-03-08-rbac-with-rolebinding.md b/_posts/kubernetes/access-control/2020-03-08-rbac-with-rolebinding.md
index b6c2f0f..a633ab4 100644
--- a/_posts/kubernetes/access-control/2020-03-08-rbac-with-rolebinding.md
+++ b/_posts/kubernetes/access-control/2020-03-08-rbac-with-rolebinding.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > rbac with rolebinding
-categories: kubernetes
+title: "kubernetes > rbac with rolebinding"
+categories: "kubernetes"
 ---
 
 RBAC(Role Based Access Control) is one of the authorization modes supported by the Kube api server. And in this post we would see 
diff --git a/_posts/kubernetes/access-control/2020-03-14-rbac-with-clusterrolebinding.md b/_posts/kubernetes/access-control/2020-03-14-rbac-with-clusterrolebinding.md
index 4c64e05..56a6396 100644
--- a/_posts/kubernetes/access-control/2020-03-14-rbac-with-clusterrolebinding.md
+++ b/_posts/kubernetes/access-control/2020-03-14-rbac-with-clusterrolebinding.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > rbac with clusterrolebinding
-categories: kubernetes
+title: "kubernetes > rbac with clusterrolebinding"
+categories: "kubernetes"
 ---
 
 A cluster role binding could be used to bind a user with a cluster role which is bound to a cluster irrespective of 
diff --git a/_posts/kubernetes/access-control/2020-03-16-cluster-admin.md b/_posts/kubernetes/access-control/2020-03-16-cluster-admin.md
index 9df50c7..f4bc59f 100644
--- a/_posts/kubernetes/access-control/2020-03-16-cluster-admin.md
+++ b/_posts/kubernetes/access-control/2020-03-16-cluster-admin.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > about the cluster-admin cluster role binding
-categories: kubernetes
+title: "kubernetes > about the cluster-admin cluster role binding"
+categories: "kubernetes"
 ---
 
 When a cluster is launched with kubeadm, the kubeconfig is set to use the default 'kubernetes-admin' user that has 
diff --git a/_posts/kubernetes/components/2019-10-24-check-the-components-of-a-cluster.md b/_posts/kubernetes/components/2019-10-24-check-the-components-of-a-cluster.md
index fcc740c..f1365be 100644
--- a/_posts/kubernetes/components/2019-10-24-check-the-components-of-a-cluster.md
+++ b/_posts/kubernetes/components/2019-10-24-check-the-components-of-a-cluster.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > check the components of a cluster
-categories: kubernetes
+title: "kubernetes > check the components of a cluster"
+categories: "kubernetes"
 ---
 
 We are going to see the installed components of a Kubernetes cluster
diff --git a/_posts/kubernetes/components/2019-10-24-etcd.md b/_posts/kubernetes/components/2019-10-24-etcd.md
index a8ff012..c43ab4f 100644
--- a/_posts/kubernetes/components/2019-10-24-etcd.md
+++ b/_posts/kubernetes/components/2019-10-24-etcd.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > etcd as a component in the cluster
-categories: kubernetes
+title: "kubernetes > etcd as a component in the cluster"
+categories: "kubernetes"
 ---
 etcd is a consistent key value datastore that Kubernetes leverages to store the cluster configuration. However etcd is not a native Kubernetes component. ectd could be installed on separate dedicated instances or on master instances. In production, etcd is installed in HA (High Availability) mode i.e. etcd server is installed on more than instance. In HA, an etcd cluster is comprised of odd number of instances - 1, 3, 5 etc. however 5 is the recommended number of etcd instances for production environments
 
diff --git a/_posts/kubernetes/components/2019-12-21-add-an-extra-scheduler.md b/_posts/kubernetes/components/2019-12-21-add-an-extra-scheduler.md
index f5868fa..97bf350 100644
--- a/_posts/kubernetes/components/2019-12-21-add-an-extra-scheduler.md
+++ b/_posts/kubernetes/components/2019-12-21-add-an-extra-scheduler.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > add an extra scheduler
-categories: kubernetes
+title: "kubernetes > add an extra scheduler"
+categories: "kubernetes"
 ---
 The kube-scheduler is responsible for scheduling Pods on Nodes, i.e. it would assign Pods to available Nodes, however it is not responsible for running the Pods, which is kubelet's job. A cluster needs to have atleast one scheduler, and its also possible to run multiple schedulers based on the need
 
diff --git a/_posts/kubernetes/components/2019-12-26-addStaticPodsUsingKubelet.md b/_posts/kubernetes/components/2019-12-26-addStaticPodsUsingKubelet.md
index d38dda7..7a24819 100644
--- a/_posts/kubernetes/components/2019-12-26-addStaticPodsUsingKubelet.md
+++ b/_posts/kubernetes/components/2019-12-26-addStaticPodsUsingKubelet.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > add static pods
-categories: kubernetes
+title: "kubernetes > add static pods"
+categories: "kubernetes"
 ---
 
 We are going to see some information about Kubelet and how to add static Pods to a cluster. It is good to have some knowledge of the components of a Kubernetes cluster and some basics of services in Linux, for better understanding of this post.
diff --git a/_posts/kubernetes/components/2020-02-22-backup-and-restore-master.md b/_posts/kubernetes/components/2020-02-22-backup-and-restore-master.md
index 99d4684..ba81e7a 100644
--- a/_posts/kubernetes/components/2020-02-22-backup-and-restore-master.md
+++ b/_posts/kubernetes/components/2020-02-22-backup-and-restore-master.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > backup and restore the master
-categories: kubernetes
+title: "kubernetes > backup and restore the master"
+categories: "kubernetes"
 ---
 
 This post covers information about how to backup and restore a Kubernetes master. The prerequisite is to have knowledge of launching a cluster using kubeadm.
diff --git a/_posts/kubernetes/components/2020-04-26-modify-kubelet-config.md b/_posts/kubernetes/components/2020-04-26-modify-kubelet-config.md
index bd9ca57..e19f58d 100644
--- a/_posts/kubernetes/components/2020-04-26-modify-kubelet-config.md
+++ b/_posts/kubernetes/components/2020-04-26-modify-kubelet-config.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > modify kubelet config
-categories: kubernetes
+title: "kubernetes > modify kubelet config"
+categories: "kubernetes"
 ---
 
 We are going to see, some overview of kubelet and its config. The prerequisites are to have basic understanding of kubeadm, kubeconfig and jsonpath.
diff --git a/_posts/kubernetes/launch-cluster/2020-02-13-kubernetes-launch-a-cluster-gcloud-shell.markdown b/_posts/kubernetes/launch-cluster/2020-02-13-kubernetes-launch-a-cluster-gcloud-shell.markdown
index 3e3a362..7aaddd2 100644
--- a/_posts/kubernetes/launch-cluster/2020-02-13-kubernetes-launch-a-cluster-gcloud-shell.markdown
+++ b/_posts/kubernetes/launch-cluster/2020-02-13-kubernetes-launch-a-cluster-gcloud-shell.markdown
@@ -1,8 +1,8 @@
 ---
-layout: page
+layout: "page"
 title: "kubernetes > launch a cluster with kubeadm and gcloud shell"
-date: 2020-02-13 07:56:00 +0530
-categories: kubernetes gcp
+date: "2020-02-13 07:56:00 +0530"
+categories: "kubernetes gcp"
 ---
 
 Task: Create a Kubernetes cluster using VMs with kubeadm, not GKE
diff --git a/_posts/kubernetes/launch-cluster/2020-02-29-launch-micro-k8s-on-ubuntu.md b/_posts/kubernetes/launch-cluster/2020-02-29-launch-micro-k8s-on-ubuntu.md
index 2ac46c9..bdeeafb 100644
--- a/_posts/kubernetes/launch-cluster/2020-02-29-launch-micro-k8s-on-ubuntu.md
+++ b/_posts/kubernetes/launch-cluster/2020-02-29-launch-micro-k8s-on-ubuntu.md
@@ -1,77 +1,77 @@
 ---
-title: kubernetes > launch microk8s on ubuntu
-categories: kubernetes
+title: "kubernetes > launch microk8s on ubuntu"
+categories: "kubernetes"
 ...
 
 MicroK8s is an all-in-one kubernetes deployment with all it's native services on a single machine
 
 This exercise is carried out on Ubuntu 18.04
 ```
-root@microk8s:~# lsb_release -a
+root@microk8s: "~# lsb_release -a"
 No LSB modules are available.
-Distributor ID: Ubuntu
-Description:    Ubuntu 18.04.4 LTS
-Release:        18.04
-Codename:       bionic
+Distributor ID: "Ubuntu"
+Description: "Ubuntu 18.04.4 LTS"
+Release: "18.04"
+Codename: "bionic"
 ```
 
 Execute the following command to install microk8s on ubuntu
 ```
-root@microk8s:~# snap install microk8s --classic
-2020-02-29T11:53:47Z INFO Waiting for restart...
+root@microk8s: "~# snap install microk8s --classic"
+2020-02-29T11: "53:47Z INFO Waiting for restart..."
 microk8s v1.17.3 from Canonical* installed
-root@microk8s:~#                        
+root@microk8s: "~#"
 ```
 
 And that's it your all-in-one Kubernetes cluster is ready in a jiffy. You may start operating your Kubernetes cluster using kubectl, the only difference is that 
 you would have to use the microk8s prefix
 
 ```
-root@microk8s:~# microk8s.kubectl get nodes
+root@microk8s: "~# microk8s.kubectl get nodes"
 NAME       STATUS   ROLES    AGE   VERSION
 microk8s   Ready       11s   v1.17.3
 
-root@microk8s:~# microk8s.kubectl get pods
+root@microk8s: "~# microk8s.kubectl get pods"
 No resources found in default namespace.
 
-root@microk8s:~# microk8s.kubectl cluster-info
-Kubernetes master is running at https://127.0.0.1:16443
+root@microk8s: "~# microk8s.kubectl cluster-info"
+Kubernetes master is running at https: "//127.0.0.1:16443"
 
 To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
 ```
 
 The following command could be used to view the list of available addons and their status
 ```
-root@microk8s:~# microk8s.status
+root@microk8s: "~# microk8s.status"
 microk8s is running
-addons:
-cilium: disabled
-dashboard: disabled
-dns: disabled
-fluentd: disabled
-gpu: disabled
-helm3: disabled
-helm: disabled
-ingress: disabled
-istio: disabled
-jaeger: disabled
-juju: disabled
-knative: disabled
-kubeflow: disabled
-linkerd: disabled
-metallb: disabled
-metrics-server: disabled
-prometheus: disabled
-rbac: disabled
-registry: disabled
-storage: disabled
+addons: ""
+cilium: "disabled"
+dashboard: "disabled"
+dns: "disabled"
+fluentd: "disabled"
+gpu: "disabled"
+helm3: "disabled"
+helm: "disabled"
+ingress: "disabled"
+istio: "disabled"
+jaeger: "disabled"
+juju: "disabled"
+knative: "disabled"
+kubeflow: "disabled"
+linkerd: "disabled"
+metallb: "disabled"
+metrics-server: "disabled"
+prometheus: "disabled"
+rbac: "disabled"
+registry: "disabled"
+storage: "disabled"
 ```
 
 For instance we may enable prometheus now, as follows
 ```
-root@microk8s:~# microk8s.enable prometheus
+root@microk8s: "~# microk8s.enable prometheus"
 --TRUNCATED--
-The Prometheus operator is enabled (user/pass: admin/admin)
+The Prometheus operator is enabled (user/pass: "admin/admin)"
 ```
 
 --end-of-post--
diff --git a/_posts/kubernetes/miscellaneous/2020-02-22-notes-from-forum-2020-blr.markdown b/_posts/kubernetes/miscellaneous/2020-02-22-notes-from-forum-2020-blr.markdown
index 08c1a22..62fa05f 100644
--- a/_posts/kubernetes/miscellaneous/2020-02-22-notes-from-forum-2020-blr.markdown
+++ b/_posts/kubernetes/miscellaneous/2020-02-22-notes-from-forum-2020-blr.markdown
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > notes from forum 2020 in bangalore, india
-categories: kubernetes
+title: "kubernetes > notes from forum 2020 in bangalore, india"
+categories: "kubernetes"
 ---
 
 I had the privilege of getting sponsored by the company for attending the Kubernetes forum 2020 in Bangalore, India. I wanted 
diff --git a/_posts/kubernetes/node-preference/2019-12-20-hard-node-affinity.md b/_posts/kubernetes/node-preference/2019-12-20-hard-node-affinity.md
index d8dc2ba..53814f4 100644
--- a/_posts/kubernetes/node-preference/2019-12-20-hard-node-affinity.md
+++ b/_posts/kubernetes/node-preference/2019-12-20-hard-node-affinity.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > configure hard node affinity
-categories: kubernetes
+title: "kubernetes > configure hard node affinity"
+categories: "kubernetes"
 ---
 
 We are going to see how to specify hard requirements for Pod(s) to select a Node using ```spec.affinity.nodeAffinity.requiredDuringSchedulingIgnoredDuringExecution```. With this the Pods could be only launched on the Node(s) that matches with the configuration
diff --git a/_posts/kubernetes/node-preference/2019-12-20-soft-node-affinity.md b/_posts/kubernetes/node-preference/2019-12-20-soft-node-affinity.md
index efa21be..bb5cf70 100644
--- a/_posts/kubernetes/node-preference/2019-12-20-soft-node-affinity.md
+++ b/_posts/kubernetes/node-preference/2019-12-20-soft-node-affinity.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > configure soft node affinity
-categories: kubernetes
+title: "kubernetes > configure soft node affinity"
+categories: "kubernetes"
 ---
 
 The Node Affinity feature we are going to see here helps the Pod(s) to prefer launching on Node(s) of choice, the associated section in the Pod manifest is ```spec.affinity.nodeAffinity.preferredDuringSchedulingIgnoredDuringExecution```
diff --git a/_posts/kubernetes/pod/2020-02-14-role-of-docker.md b/_posts/kubernetes/pod/2020-02-14-role-of-docker.md
index 272e813..2dcfc8e 100644
--- a/_posts/kubernetes/pod/2020-02-14-role-of-docker.md
+++ b/_posts/kubernetes/pod/2020-02-14-role-of-docker.md
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > role of docker
-categories: kubernetes
+title: "kubernetes > role of docker"
+categories: "kubernetes"
 ---
 
 The fundamental API object in kubernetes is a pod which contains one or more containers in it.
diff --git a/_posts/kubernetes/pod/container-probes.markdown b/_posts/kubernetes/pod/container-probes.markdown
index e54d3eb..e70e60d 100644
--- a/_posts/kubernetes/pod/container-probes.markdown
+++ b/_posts/kubernetes/pod/container-probes.markdown
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > container probes
-categories: kubernetes
+title: "kubernetes > container probes"
+categories: "kubernetes"
 ---
 
 Kubelets runnig on nodes, can periodically probe containers that are launched on those nodes, and ensure the app is running as it is intended to. In this post we are going to see 2 such standard probes used in production environments, namely liveness and readiness probes, and the standard HttpGetAction handler these probes use, to peform period health checks on web apps.
diff --git a/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-configmap-as-pod-volume.markdown b/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-configmap-as-pod-volume.markdown
index 7ef5b04..065f415 100644
--- a/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-configmap-as-pod-volume.markdown
+++ b/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-configmap-as-pod-volume.markdown
@@ -1,6 +1,6 @@
 ---
-title: kubernetes > attach config map as pod volume
-categories: kubernetes
+title: "kubernetes > attach config map as pod volume"
+categories: "kubernetes"
 ---
 
 We could create Pod volumes based on Config Maps and mount those into containers. It's good to have some understanding of Config Maps and Volumes to make most use of this post. 
diff --git a/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-secret-as-pod-volume.markdown b/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-secret-as-pod-volume.markdown
index 14ea1b8..d5b938b 100644
--- a/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-secret-as-pod-volume.markdown
+++ b/_posts/kubernetes/volumes/2020-02-05-kubernetes-attach-secret-as-pod-volume.markdown
@@ -1,8 +1,8 @@
 ---
-layout: page
+layout: "page"
 title: "kubernetes > attach secret as pod volume"
-date: 2020-02-05 
-categories: kubernetes
+date: "2020-02-05"
+categories: "kubernetes"
 ---
 
 We could create Pod volumes based on Secrets and mount those into containers. It's good to have some understanding of Secrets and Volumes to make most use of this post.
diff --git a/_posts/owaspjuiceshop/2021-07-08-owasp-juice-shop-scan-container-with-trivy.md b/_posts/owaspjuiceshop/2021-07-08-owasp-juice-shop-scan-container-with-trivy.md
index 8f6c758..ae14856 100644
--- a/_posts/owaspjuiceshop/2021-07-08-owasp-juice-shop-scan-container-with-trivy.md
+++ b/_posts/owaspjuiceshop/2021-07-08-owasp-juice-shop-scan-container-with-trivy.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop > scan container with trivy
-categories: owasp juice shop
+title: "owasp juice shop > scan container with trivy"
+categories: "owasp juice shop"
 ---
 
 In this post, we would be using an opensource container scanning tool called Trivy, developed by 
diff --git a/_posts/owaspjuiceshop/2021-07-23-owasp-juice-shop-run-the-app-locally.md b/_posts/owaspjuiceshop/2021-07-23-owasp-juice-shop-run-the-app-locally.md
index 6c9536a..8839de5 100644
--- a/_posts/owaspjuiceshop/2021-07-23-owasp-juice-shop-run-the-app-locally.md
+++ b/_posts/owaspjuiceshop/2021-07-23-owasp-juice-shop-run-the-app-locally.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop > run the app locally
-categories: owasp juice shop
+title: "owasp juice shop > run the app locally"
+categories: "owasp juice shop"
 ---
 
 OWASP juice shop is an open source AngularJS application developed with known vulnerabilities 
diff --git a/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-npm-audit.md b/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-npm-audit.md
index 1c1bc1a..dd76509 100644
--- a/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-npm-audit.md
+++ b/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-npm-audit.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop > npm audit
-categories: owasp juice shop
+title: "owasp juice shop > npm audit"
+categories: "owasp juice shop"
 ---
 In this post, we will audit the OWASP juice shop app with npm. You should have already cloned the juice 
 shop code and installed the modules with NPM. Some familiarity with jq for filtering json is assumed.
diff --git a/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-run-as-container.md b/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-run-as-container.md
index 999c998..7dcc368 100644
--- a/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-run-as-container.md
+++ b/_posts/owaspjuiceshop/2021-08-07-owasp-juice-shop-run-as-container.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop >  run as container
-categories: owasp juice shop
+title: "owasp juice shop >  run as container"
+categories: "owasp juice shop"
 ---
 
 Let's run the juice shop as a docker container on our local system, you should have already 
diff --git a/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-launch-with-own-docker-image.md b/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-launch-with-own-docker-image.md
index 5e85c6c..f1828f0 100644
--- a/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-launch-with-own-docker-image.md
+++ b/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-launch-with-own-docker-image.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop > launch with own docker image
-categories: owasp juice shop
+title: "owasp juice shop > launch with own docker image"
+categories: "owasp juice shop"
 ---
 
 There is already an offical docker image for the juice shop application at the repo 
diff --git a/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-run-as-kubernetes-service.md b/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-run-as-kubernetes-service.md
index 8585d12..292f174 100644
--- a/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-run-as-kubernetes-service.md
+++ b/_posts/owaspjuiceshop/2021-08-08-owasp-juice-shop-run-as-kubernetes-service.md
@@ -1,6 +1,6 @@
 ---
-title: owasp juice shop > run as kubernetes service
-categories: owasp juice shop
+title: "owasp juice shop > run as kubernetes service"
+categories: "owasp juice shop"
 ---
 
 Hello, we shall run the OWASP juice shop as a deployment, and expose it as a service in a local 
diff --git a/_posts/python/2020-05-02-python-lists-tuples-and-sets.md b/_posts/python/2020-05-02-python-lists-tuples-and-sets.md
index 575bd9a..63f7c35 100644
--- a/_posts/python/2020-05-02-python-lists-tuples-and-sets.md
+++ b/_posts/python/2020-05-02-python-lists-tuples-and-sets.md
@@ -1,6 +1,6 @@
 ---
-title: python > lists, tuples, and sets
-categories: python
+title: "python > lists, tuples, and sets"
+categories: "python"
 ---
 
 A comparitive study of Lists, Tuples, and Sets should help in better understanding of these objects as they look kind 
diff --git a/_posts/python/2020-06-14-python-string-methods.md b/_posts/python/2020-06-14-python-string-methods.md
index ca4e646..374d1b9 100644
--- a/_posts/python/2020-06-14-python-string-methods.md
+++ b/_posts/python/2020-06-14-python-string-methods.md
@@ -1,6 +1,6 @@
 ---
-title: python > string methods and functions
-categories: python
+title: "python > string methods and functions"
+categories: "python"
 ---
 
 Strings are one of the most used datatypes, and some practice on string 
diff --git a/_posts/python/2020-06-21-python-prepare-networking-configuration-with-jinja2-templates.md b/_posts/python/2020-06-21-python-prepare-networking-configuration-with-jinja2-templates.md
index 7e89210..eaddcce 100644
--- a/_posts/python/2020-06-21-python-prepare-networking-configuration-with-jinja2-templates.md
+++ b/_posts/python/2020-06-21-python-prepare-networking-configuration-with-jinja2-templates.md
@@ -1,6 +1,6 @@
 ---
-categories: python
-title: python > prepare networking configuration with jinja2 templates
+categories: "python"
+title: "python > prepare networking configuration with jinja2 templates"
 ---
 ### Topic
 Jinja2 is a templating language used within Python, and we are going to 
diff --git a/_posts/python/2020-06-22-python-functions-or-methods.md b/_posts/python/2020-06-22-python-functions-or-methods.md
index cce6006..8cfe9ff 100644
--- a/_posts/python/2020-06-22-python-functions-or-methods.md
+++ b/_posts/python/2020-06-22-python-functions-or-methods.md
@@ -1,6 +1,6 @@
 ---
-title: python > functions or methods
-categories: python
+title: "python > functions or methods"
+categories: "python"
 ---
 
 ### Topic
diff --git a/_posts/python/2020-06-23-python-define-network-configuration-in-yaml.md b/_posts/python/2020-06-23-python-define-network-configuration-in-yaml.md
index 5561906..1cc106c 100644
--- a/_posts/python/2020-06-23-python-define-network-configuration-in-yaml.md
+++ b/_posts/python/2020-06-23-python-define-network-configuration-in-yaml.md
@@ -1,5 +1,5 @@
 ---
-title: python > define network configuration in yaml
-categories: python
+title: "python > define network configuration in yaml"
+categories: "python"
 ---
 
diff --git a/_posts/python/2020-06-27-python-errors-and-exceptions.md b/_posts/python/2020-06-27-python-errors-and-exceptions.md
index f4b100c..575709d 100644
--- a/_posts/python/2020-06-27-python-errors-and-exceptions.md
+++ b/_posts/python/2020-06-27-python-errors-and-exceptions.md
@@ -1,324 +1,324 @@
----
-title: python >  errors and exceptions
-categories: python
----
-
-A Python program can break due to various types of Errors. We shall explore few of these errors in the post. To make best use of this post, you should know certain topics in Python3 such as datatypes, expression, pass statement, etc.
-
-Not all errors are significant, and hence there would be cases where we can skip certain errors to uninterrupt execution of our code, and this is achieved with ```try except``` blocks.
-
-### ZeroDivisionError
-This error is returned when we try to divide any number by 0
-```
->>> 50 / 0
-Traceback (most recent call last):
-  File "", line 1, in 
-ZeroDivisionError: division by zero
-```
-This time we tell Python not to break execution, by including things in a ```try except``` block.
-```
->>> try:
-...     0 /0
-... except ZeroDivisionError:
-...     pass
-...
-```
-The expression 00/0 in the try block should have produced a ZeroDivisionError, but since we are saying ```except ZeroDivisionError```, that error would be excepted. So there wont be any error and there should'nt be any output as well as we have included ```pass``` in the except block. Note that ```pass``` is used as a placeholder where you don't want the program to any program, and just to go the next line of the code in sequence if any.
-
-Let's try a different example, and also try printing some info instead of pass.
-```
->>> try:
-...     120 / 0
-... except:
-...     print('oh there was an exception')
-...
-oh there was an exception
-```
-
-### TypeError
-We can try  to do an unsupported math operation, for example division, between a string and an integer, to trigger this error
-```
->>> 30 / 'hello'
-Traceback (most recent call last):
-  File "", line 1, in 
-TypeError: unsupported operand type(s) for /: 'int' and 'str'
-```
-Another example, but we include an exception for the error this time
-```
->>> try:
-...    'text' + 20
-... except TypeError:
-...     print('There was a type error')
-...
-There was a type error
-```
-
-### NameError
-When we try calling a variable a.k.a object name, that was not defined before, we should get a NameError
-```
->>> print(name)
-Traceback (most recent call last):
-  File "", line 1, in 
-NameError: name 'name' is not defined
-```
-
-### Error on improper exception
-Error would still occur if the except statement doesn't include the correct error type.
-```
->>> try:
-...    'text' + 20
-... except ValueError:  # wont process as we get TypeError above
-...     print('There was a value error')
-...
-Traceback (most recent call last):
-  File "", line 2, in 
-TypeError: can only concatenate str (not "int") to str
-```
-We get an error cause, as we tried to except ValueError, where as the statement in try block was producing TypeError
-
-
-### Exception for Multiple Errors
-We can include exceptions for multiple error types by separating each error type by a comma. The following example should have produced NameError.
-```
->>> try:
-...     print(name)
-... except(NameError, TypeError):
-...     print('There was a NameError or TypeError')
-...
-There was a NameError or TypeError
->>>
-```
-Another example for multiple exceptions, however it should have generated a TypeError
-```
->>> name = 'Michael'
->>>
->>> try:
-...     print(name)
-...     'text' - 20
-... except(NameError, TypeError):
-...     print('There was a NameError or TypeError')
-...
-Michael
-There was a NameError or TypeError
-```    
-
-Or we could even provide exceptions for any error by jus saying expect with out any error type. Let's try printing the variable city, which is not defined before, this should have caused a NameError
-```
->>> try:
-...     print(city)
-... except:
-...     print('oh! there was an exception error')
-...
-oh! there was an exception error
-```
-Note that in the snippet above, we have excepted all types of Errors and not just NameError.
-
-One more example for providing exception to all errors
-```
->>> try:
-...     print(y)
-... except:
-...     print('There was an error, But that\'s ok, go ahead with the rest of the code')
-...
-There was an error, But that's ok, go ahead with the rest of the code
->>> print('Thank you')
-Thank you
->>>
-```
-### Print the standard message
-Its sometimes much apt to print the message the error would have been generated for, instead of printing a user defined message
-```
->>> try:
-...    print(name)
-... except NameError as n:
-...     print(n)
-...
-name 'name' is not defined
-```
-So the mesage ```name 'name' is not defined``` is coming straight from the NameError itself, and says why there was a NameError. Here we have caught the error message as variable ```n``` by saying ```NameError as  n```, and then we ```print(n)``` it displays the error message or reason stored.
-
-One more example
-```
->>> try:
-...     'string ' + 2
-... except TypeError as t:
-...     print(t)
-...
-can only concatenate str (not "int") to str
-```
-This time it printed the reason for the TypeError
-
-### Raise Errors
-We could even raise errors manually with the ```raise``` statement.
-```
->>> try:
-...     raise TypeError()
-... except TypeError as t:
-...     print(t)
-...
-
-```
-It shouldn't print anything cause we raised the error manually, and there wasn't any standard error message, providing the reason on why it was generated.
-
-We could however print a user defined message.
-```
->>> try:
-...     raise TypeError()
-... except TypeError:
-...     print('The type error was raised manually')
-...
-The type error was raised manually
-```
-
-### Class with Multi level inheritance
-The errors we have seen so far belong to a predefined class called Exception.
-```
->>> print(ValueError.__bases__)
-(,)
-
->>> print(TypeError.__bases__)
-(,)
-```
-Note that __bases__ is used to find the base class of a class.
-
-Let's define a class called Base that would inherit the Exception class. We are not defininig any unique attributes or methods for this class, 
-and hence say pass.
-```
->>> class Base(Exception):
-...     pass
-...
-```
-Now another class called Child, which would inherit the class 'Base'.
-```
->>> class Child(Base):
-...     pass
-...
-```
-And the Grandchild class to further inherit from Child.
-```
->>> class Grandchild(Child):
-...     pass
-...
-```
-We are going to loop over these classes, to raise that exception in each iteration, so that the except block would be executed.
-```
->>> for i in [ Base, Child, Grandchild ]:
-...     try:
-...         raise i()
-...     except Grandchild:
-...         print("Grand child exception")
-...     except Child:
-...         print("Child exception")
-...     except Base:
-...         print("Base exception")
-...
-Base exception
-Child exception
-Grand child exception
-```
-The loop above was straight forward, i.e. when the Base exception was raised, it would print 'Base exception'.
-
-Let's now reverse the order of except statements and try.
-```
->>> for i in [ Base, Child, Grandchild ]:
-...     try:
-...         raise i()
-...     except Base:
-...         print("Base exception")
-...     except Child:
-...         print("Child exception")
-...     except Grandchild:
-...         print("Grand child exception")
-...
-Base exception
-Base exception
-Base exception
->>>
-```
-Each time the Base exception will be caught, as both Child and Grandchild inherit Base. And the except block for Base was written first.
-
-### Custom message
-Define a custom exception as a sub / derived class of the Exception class.
-Define a new class MyException as a derived class of the Exception class.
-```
->>> class MyException(Exception):
-...     pass
-...
-```
-Define InputException as a derived class of MyException. So InputException also inherits Exception. 
-However a custom message is defined for InputException, so it won't inherit this message from Exception.
-```
->>> class InputException(MyException):
-...     def __init__(self, message):
-...          self.message = message
-...
-```
-Create an instance 'i' of the InputException class, and pass argument for message.
-```
->>> i = InputException('This is a user defined exception')
->>>
-```
-We can now raise i, i.e. an InputException instance, to create an error manually, and the screen would throw the custom message. 
-```
->>> raise i
-Traceback (most recent call last):
-  File "", line 1, in 
-__main__.InputException: This is a user defined exception
-```
-```__main__``` is the value of the ```__name__``` keyword, its used to fetch the name of an object, and by default it's ```__main__```.
-It means the value of ```__name__``` in our program or module is always ```__main__```, and it has global scope, its like the name of the 
-overall current module.
-```
->>> print(__name__)
-__main__
-```
-Each class will also have this attribute. For instance the ```__name__``` atrribute of InputException is its name itself, 
-same is the case for Exception.
-```
->>> print(InputException.__name__)
-InputException
-
->>> print(Exception.__name__)
-Exception
-```
-
-### SyntaxError
-We have seen errors than can be excepted, but there are also Errors that can not be excepted. 
-For instance IndentationError can not be excepted.
-```
->>> if True:
-...     print('hi')
-...   print('hello')
-  File "", line 3
-    print('hello')
-                 ^
-IndentationError: unindent does not match any outer indentation level
-```
-Indentation error is derived class of SyntaxError.
-```
->>> print(IndentationError.__bases__)
-(,)
-```
-
-Make a syntax error directly.
-```
->>> print('Hello)
-  File "", line 1
-    print('Hello)
-                ^
-SyntaxError: EOL while scanning string literal
-```
-SyntaxError inherits Exception, which in turn inherits BaseException.
-```
->>> print(SyntaxError.__bases__)
-(,)
->>> print(Exception.__bases__)
-(,)
->>> print(BaseException.__bases__)
-(,)
->>> print(object.__bases__)
-()
->>>
-```
-
---end-of-post--
+---
+title: "python >  errors and exceptions"
+categories: "python"
+---
+
+A Python program can break due to various types of Errors. We shall explore few of these errors in the post. To make best use of this post, you should know certain topics in Python3 such as datatypes, expression, pass statement, etc.
+
+Not all errors are significant, and hence there would be cases where we can skip certain errors to uninterrupt execution of our code, and this is achieved with ```try except``` blocks.
+
+### ZeroDivisionError
+This error is returned when we try to divide any number by 0
+```
+>>> 50 / 0
+Traceback (most recent call last):
+  File "", line 1, in 
+ZeroDivisionError: division by zero
+```
+This time we tell Python not to break execution, by including things in a ```try except``` block.
+```
+>>> try:
+...     0 /0
+... except ZeroDivisionError:
+...     pass
+...
+```
+The expression 00/0 in the try block should have produced a ZeroDivisionError, but since we are saying ```except ZeroDivisionError```, that error would be excepted. So there wont be any error and there should'nt be any output as well as we have included ```pass``` in the except block. Note that ```pass``` is used as a placeholder where you don't want the program to any program, and just to go the next line of the code in sequence if any.
+
+Let's try a different example, and also try printing some info instead of pass.
+```
+>>> try:
+...     120 / 0
+... except:
+...     print('oh there was an exception')
+...
+oh there was an exception
+```
+
+### TypeError
+We can try  to do an unsupported math operation, for example division, between a string and an integer, to trigger this error
+```
+>>> 30 / 'hello'
+Traceback (most recent call last):
+  File "", line 1, in 
+TypeError: unsupported operand type(s) for /: 'int' and 'str'
+```
+Another example, but we include an exception for the error this time
+```
+>>> try:
+...    'text' + 20
+... except TypeError:
+...     print('There was a type error')
+...
+There was a type error
+```
+
+### NameError
+When we try calling a variable a.k.a object name, that was not defined before, we should get a NameError
+```
+>>> print(name)
+Traceback (most recent call last):
+  File "", line 1, in 
+NameError: name 'name' is not defined
+```
+
+### Error on improper exception
+Error would still occur if the except statement doesn't include the correct error type.
+```
+>>> try:
+...    'text' + 20
+... except ValueError:  # wont process as we get TypeError above
+...     print('There was a value error')
+...
+Traceback (most recent call last):
+  File "", line 2, in 
+TypeError: can only concatenate str (not "int") to str
+```
+We get an error cause, as we tried to except ValueError, where as the statement in try block was producing TypeError
+
+
+### Exception for Multiple Errors
+We can include exceptions for multiple error types by separating each error type by a comma. The following example should have produced NameError.
+```
+>>> try:
+...     print(name)
+... except(NameError, TypeError):
+...     print('There was a NameError or TypeError')
+...
+There was a NameError or TypeError
+>>>
+```
+Another example for multiple exceptions, however it should have generated a TypeError
+```
+>>> name = 'Michael'
+>>>
+>>> try:
+...     print(name)
+...     'text' - 20
+... except(NameError, TypeError):
+...     print('There was a NameError or TypeError')
+...
+Michael
+There was a NameError or TypeError
+```    
+
+Or we could even provide exceptions for any error by jus saying expect with out any error type. Let's try printing the variable city, which is not defined before, this should have caused a NameError
+```
+>>> try:
+...     print(city)
+... except:
+...     print('oh! there was an exception error')
+...
+oh! there was an exception error
+```
+Note that in the snippet above, we have excepted all types of Errors and not just NameError.
+
+One more example for providing exception to all errors
+```
+>>> try:
+...     print(y)
+... except:
+...     print('There was an error, But that\'s ok, go ahead with the rest of the code')
+...
+There was an error, But that's ok, go ahead with the rest of the code
+>>> print('Thank you')
+Thank you
+>>>
+```
+### Print the standard message
+Its sometimes much apt to print the message the error would have been generated for, instead of printing a user defined message
+```
+>>> try:
+...    print(name)
+... except NameError as n:
+...     print(n)
+...
+name 'name' is not defined
+```
+So the mesage ```name 'name' is not defined``` is coming straight from the NameError itself, and says why there was a NameError. Here we have caught the error message as variable ```n``` by saying ```NameError as  n```, and then we ```print(n)``` it displays the error message or reason stored.
+
+One more example
+```
+>>> try:
+...     'string ' + 2
+... except TypeError as t:
+...     print(t)
+...
+can only concatenate str (not "int") to str
+```
+This time it printed the reason for the TypeError
+
+### Raise Errors
+We could even raise errors manually with the ```raise``` statement.
+```
+>>> try:
+...     raise TypeError()
+... except TypeError as t:
+...     print(t)
+...
+
+```
+It shouldn't print anything cause we raised the error manually, and there wasn't any standard error message, providing the reason on why it was generated.
+
+We could however print a user defined message.
+```
+>>> try:
+...     raise TypeError()
+... except TypeError:
+...     print('The type error was raised manually')
+...
+The type error was raised manually
+```
+
+### Class with Multi level inheritance
+The errors we have seen so far belong to a predefined class called Exception.
+```
+>>> print(ValueError.__bases__)
+(,)
+
+>>> print(TypeError.__bases__)
+(,)
+```
+Note that __bases__ is used to find the base class of a class.
+
+Let's define a class called Base that would inherit the Exception class. We are not defininig any unique attributes or methods for this class, 
+and hence say pass.
+```
+>>> class Base(Exception):
+...     pass
+...
+```
+Now another class called Child, which would inherit the class 'Base'.
+```
+>>> class Child(Base):
+...     pass
+...
+```
+And the Grandchild class to further inherit from Child.
+```
+>>> class Grandchild(Child):
+...     pass
+...
+```
+We are going to loop over these classes, to raise that exception in each iteration, so that the except block would be executed.
+```
+>>> for i in [ Base, Child, Grandchild ]:
+...     try:
+...         raise i()
+...     except Grandchild:
+...         print("Grand child exception")
+...     except Child:
+...         print("Child exception")
+...     except Base:
+...         print("Base exception")
+...
+Base exception
+Child exception
+Grand child exception
+```
+The loop above was straight forward, i.e. when the Base exception was raised, it would print 'Base exception'.
+
+Let's now reverse the order of except statements and try.
+```
+>>> for i in [ Base, Child, Grandchild ]:
+...     try:
+...         raise i()
+...     except Base:
+...         print("Base exception")
+...     except Child:
+...         print("Child exception")
+...     except Grandchild:
+...         print("Grand child exception")
+...
+Base exception
+Base exception
+Base exception
+>>>
+```
+Each time the Base exception will be caught, as both Child and Grandchild inherit Base. And the except block for Base was written first.
+
+### Custom message
+Define a custom exception as a sub / derived class of the Exception class.
+Define a new class MyException as a derived class of the Exception class.
+```
+>>> class MyException(Exception):
+...     pass
+...
+```
+Define InputException as a derived class of MyException. So InputException also inherits Exception. 
+However a custom message is defined for InputException, so it won't inherit this message from Exception.
+```
+>>> class InputException(MyException):
+...     def __init__(self, message):
+...          self.message = message
+...
+```
+Create an instance 'i' of the InputException class, and pass argument for message.
+```
+>>> i = InputException('This is a user defined exception')
+>>>
+```
+We can now raise i, i.e. an InputException instance, to create an error manually, and the screen would throw the custom message. 
+```
+>>> raise i
+Traceback (most recent call last):
+  File "", line 1, in 
+__main__.InputException: This is a user defined exception
+```
+```__main__``` is the value of the ```__name__``` keyword, its used to fetch the name of an object, and by default it's ```__main__```.
+It means the value of ```__name__``` in our program or module is always ```__main__```, and it has global scope, its like the name of the 
+overall current module.
+```
+>>> print(__name__)
+__main__
+```
+Each class will also have this attribute. For instance the ```__name__``` atrribute of InputException is its name itself, 
+same is the case for Exception.
+```
+>>> print(InputException.__name__)
+InputException
+
+>>> print(Exception.__name__)
+Exception
+```
+
+### SyntaxError
+We have seen errors than can be excepted, but there are also Errors that can not be excepted. 
+For instance IndentationError can not be excepted.
+```
+>>> if True:
+...     print('hi')
+...   print('hello')
+  File "", line 3
+    print('hello')
+                 ^
+IndentationError: unindent does not match any outer indentation level
+```
+Indentation error is derived class of SyntaxError.
+```
+>>> print(IndentationError.__bases__)
+(,)
+```
+
+Make a syntax error directly.
+```
+>>> print('Hello)
+  File "", line 1
+    print('Hello)
+                ^
+SyntaxError: EOL while scanning string literal
+```
+SyntaxError inherits Exception, which in turn inherits BaseException.
+```
+>>> print(SyntaxError.__bases__)
+(,)
+>>> print(Exception.__bases__)
+(,)
+>>> print(BaseException.__bases__)
+(,)
+>>> print(object.__bases__)
+()
+>>>
+```
+
+--end-of-post--
diff --git a/_posts/python/2020-06-28-python-classes-and-instances.md b/_posts/python/2020-06-28-python-classes-and-instances.md
index fa4f8e5..f6e96fc 100644
--- a/_posts/python/2020-06-28-python-classes-and-instances.md
+++ b/_posts/python/2020-06-28-python-classes-and-instances.md
@@ -1,7 +1,7 @@
 ---
-title: python > classes and instances
-categories: python
-...
+title: "python > classes and instances"
+categories: "python"
+---
 
 We are going to see some object oriented programming here. 
 Its nice to have fundamental understanding of Python functions or methods, datatypes for better understanding of this post.
diff --git a/_posts/python/2020-07-18-python-dictionaries.md b/_posts/python/2020-07-18-python-dictionaries.md
index aabb1e5..1464583 100644
--- a/_posts/python/2020-07-18-python-dictionaries.md
+++ b/_posts/python/2020-07-18-python-dictionaries.md
@@ -1,6 +1,6 @@
 ---
-title: python > dictionaries
-categories: python
+title: "python > dictionaries"
+categories: "python"
 ---
 Dictionaries are datastructure objects that can store information in a key value pair format, in this post, we will explore some information about 
 dictionaries and their associated methods. The prerequisites are knowledge of boolean, exceptions, float, integers, methods, strings, etc.
diff --git a/_posts/python/2020-07-18-python-file-operations.md b/_posts/python/2020-07-18-python-file-operations.md
index 119787b..92d3cfd 100644
--- a/_posts/python/2020-07-18-python-file-operations.md
+++ b/_posts/python/2020-07-18-python-file-operations.md
@@ -1,6 +1,6 @@
 ---
-title: python > file operations
-categories: python
+title: "python > file operations"
+categories: "python"
 ---
 
 Python's inbuilt open function could be used to interact with the file system of the underlying operating system. Let's see more on this. You 
diff --git a/_posts/python/2020-07-25-python-user-input.md b/_posts/python/2020-07-25-python-user-input.md
index 0bc8f90..7158f81 100644
--- a/_posts/python/2020-07-25-python-user-input.md
+++ b/_posts/python/2020-07-25-python-user-input.md
@@ -1,6 +1,6 @@
 ---
-title: python > user input
-categories: python
+title: "python > user input"
+categories: "python"
 ---
 
 Sometimes its necessary to take some input from the user and pass it to 
diff --git a/_posts/python/2020-07-26-python-loops.md b/_posts/python/2020-07-26-python-loops.md
index ce4438f..e236972 100644
--- a/_posts/python/2020-07-26-python-loops.md
+++ b/_posts/python/2020-07-26-python-loops.md
@@ -1,6 +1,6 @@
 ---
-title: python > loops
-categories: python
+title: "python > loops"
+categories: "python"
 ---
 
 Loops are common in all programmings languages, they help in executing tasks that are recurring in nature. Lets look at these loops in Python with few examples. The prerequisites are: knowing how to Python code through the Interpreter or as a script in a file.
diff --git a/_posts/python/2020-07-26-python-regular-expressions.md b/_posts/python/2020-07-26-python-regular-expressions.md
index 92d0bf6..71475c0 100644
--- a/_posts/python/2020-07-26-python-regular-expressions.md
+++ b/_posts/python/2020-07-26-python-regular-expressions.md
@@ -1,6 +1,6 @@
 ---
-title: python > regular expressions
-categories: python
+title: "python > regular expressions"
+categories: "python"
 ---
 
 Let's learn some bits of regular expression here, hope you are already familiar with strings in Python.
diff --git a/_posts/python/2020-10-20-python-import-modules.md b/_posts/python/2020-10-20-python-import-modules.md
index c670708..6d74e95 100644
--- a/_posts/python/2020-10-20-python-import-modules.md
+++ b/_posts/python/2020-10-20-python-import-modules.md
@@ -1,6 +1,6 @@
 ---
-title: python > import modules
-categories: python
+title: "python > import modules"
+categories: "python"
 ---
 
 There could be tasks that we intend to perform in Python, which are not doable straightway by a builtin function or class method, we would have to import specific 
diff --git a/_posts/python/2020-10-25-python-ways-to-run-code.md b/_posts/python/2020-10-25-python-ways-to-run-code.md
index 28e1035..3e00c02 100644
--- a/_posts/python/2020-10-25-python-ways-to-run-code.md
+++ b/_posts/python/2020-10-25-python-ways-to-run-code.md
@@ -1,6 +1,6 @@
 ---
-title: python > ways to run code
-categories: python
+title: "python > ways to run code"
+categories: "python"
 ---
 
 Let's see some ways of running Python. It's assumed you know some basics of Linux and its filesystem navigation.
diff --git a/about.markdown b/about.markdown
deleted file mode 100644
index 8dafbd7..0000000
--- a/about.markdown
+++ /dev/null
@@ -1,19 +0,0 @@
----
-layout: page
-title: "about"
-permalink: /about/
----
-
-
-
-```
-blog > practice > share | [ network coding cloud… ]
-```
-
-This site holds notes/posts related to technical topics such as cloud, containers, networking, automation, and so on.
-The tech keywords for search in the site include Kubernetes, OpenStack, Ansible, Python, etc.
----
-
-[](https://github.com/networkandcode)
-[](https://linkedin.com/in/networkandcode)
-[](https://www.youtube.com/channel/UCZTRMzFB2HJ6zCDM1n4FhHA)
\ No newline at end of file
diff --git a/astro.config.mjs b/astro.config.mjs
new file mode 100644
index 0000000..bc63dd4
--- /dev/null
+++ b/astro.config.mjs
@@ -0,0 +1,11 @@
+// @ts-check
+import { defineConfig } from 'astro/config';
+import mdx from '@astrojs/mdx';
+import { syncGoogleDocCv } from './src/lib/syncCv.ts';
+import { syncDevToPosts } from './src/lib/syncDevTo.ts';
+
+// https://astro.build/config
+export default defineConfig({
+  site: 'https://networkandcode.github.io',
+  integrations: [mdx(), syncGoogleDocCv(), syncDevToPosts()],
+});
diff --git a/index.markdown b/index.markdown
deleted file mode 100644
index 0671507..0000000
--- a/index.markdown
+++ /dev/null
@@ -1,6 +0,0 @@
----
-# Feel free to add content and custom Front Matter to this file.
-# To modify the layout, see https://jekyllrb.com/docs/themes/#overriding-theme-defaults
-
-layout: home
----
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000..0d92568
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,6051 @@
+{
+  "name": "planetary-parallax",
+  "version": "0.0.1",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "planetary-parallax",
+      "version": "0.0.1",
+      "dependencies": {
+        "@astrojs/mdx": "^7.0.5",
+        "astro": "^7.2.0"
+      },
+      "engines": {
+        "node": ">=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding/-/compiler-binding-0.3.2.tgz",
+      "integrity": "sha512-8w/9CWmYrAJJ8N0SY3O43ws2BgxoW6u3QsD8u2mE140lMYAlwh+tlNoUeSBq22wVheFuiBbR212l6ixZ2IIgCQ==",
+      "license": "MIT",
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      },
+      "optionalDependencies": {
+        "@astrojs/compiler-binding-darwin-arm64": "0.3.2",
+        "@astrojs/compiler-binding-darwin-x64": "0.3.2",
+        "@astrojs/compiler-binding-linux-arm64-gnu": "0.3.2",
+        "@astrojs/compiler-binding-linux-arm64-musl": "0.3.2",
+        "@astrojs/compiler-binding-linux-x64-gnu": "0.3.2",
+        "@astrojs/compiler-binding-linux-x64-musl": "0.3.2",
+        "@astrojs/compiler-binding-wasm32-wasi": "0.3.2",
+        "@astrojs/compiler-binding-win32-arm64-msvc": "0.3.2",
+        "@astrojs/compiler-binding-win32-x64-msvc": "0.3.2"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-darwin-arm64": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-darwin-arm64/-/compiler-binding-darwin-arm64-0.3.2.tgz",
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+      "cpu": [
+        "arm64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-darwin-x64": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-darwin-x64/-/compiler-binding-darwin-x64-0.3.2.tgz",
+      "integrity": "sha512-2lXOlzf8xb7jLomRsf/aswh61/NnGusynB2OwFkK6k4pmOtpfXMYnG0PLfXrEvxXYj69NdCnmUYXtHDd+JOOag==",
+      "cpu": [
+        "x64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-linux-arm64-gnu": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-linux-arm64-gnu/-/compiler-binding-linux-arm64-gnu-0.3.2.tgz",
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+      "cpu": [
+        "arm64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-linux-arm64-musl": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-linux-arm64-musl/-/compiler-binding-linux-arm64-musl-0.3.2.tgz",
+      "integrity": "sha512-f0heT9ZZEseSu5bHCeb80eL2DH07ArE6U9xi1WT/PEusNjzPmEr3GJsjG1tRLo5VYUUYX7h3ScaqGmGrMOVGmw==",
+      "cpu": [
+        "arm64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-linux-x64-gnu": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-linux-x64-gnu/-/compiler-binding-linux-x64-gnu-0.3.2.tgz",
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+      "cpu": [
+        "x64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-linux-x64-musl": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-linux-x64-musl/-/compiler-binding-linux-x64-musl-0.3.2.tgz",
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+      "cpu": [
+        "x64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-wasm32-wasi": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-wasm32-wasi/-/compiler-binding-wasm32-wasi-0.3.2.tgz",
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+      "cpu": [
+        "wasm32"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "@napi-rs/wasm-runtime": "^1.2.0"
+      },
+      "engines": {
+        "node": ">=14.0.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-win32-arm64-msvc": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-win32-arm64-msvc/-/compiler-binding-win32-arm64-msvc-0.3.2.tgz",
+      "integrity": "sha512-ESruf+6Qkl1trHUFxI6GSf6t52j8yN2kCNSzMWdzt7V/T09tFHrYzrVaJQohb2C9bJUH76pNvX6Zb51+xCQc9Q==",
+      "cpu": [
+        "arm64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-binding-win32-x64-msvc": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-binding-win32-x64-msvc/-/compiler-binding-win32-x64-msvc-0.3.2.tgz",
+      "integrity": "sha512-wzzVrEbOwbsLWOdEbocskjMRx2aZPxJ7ZbmL+jnpBamFwmigm+2M/wzuM6JWncocgYwLic1csSpalBh96kQKXA==",
+      "cpu": [
+        "x64"
+      ],
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/compiler-rs": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@astrojs/compiler-rs/-/compiler-rs-0.3.2.tgz",
+      "integrity": "sha512-xlx/T7JovIKduu4ucbTQUxQ5+Q8wxkHxhLjnZk3VlJbhbQ9RLvvuDk1p2YYFYFQ5y14dVm3FGGO4isQXa4F+Tg==",
+      "license": "MIT",
+      "dependencies": {
+        "@astrojs/compiler-binding": "0.3.2"
+      },
+      "engines": {
+        "node": ">=22.12.0"
+      }
+    },
+    "node_modules/@astrojs/internal-helpers": {
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diff --git a/package.json b/package.json
new file mode 100644
index 0000000..9de1e32
--- /dev/null
+++ b/package.json
@@ -0,0 +1,18 @@
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+}
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diff --git a/referrals.markdown b/referrals.markdown
deleted file mode 100644
index dd3bb19..0000000
--- a/referrals.markdown
+++ /dev/null
@@ -1,24 +0,0 @@
----
-layout: page
-title: "referrals"
-permalink: /referrals/
----
-
-Get $25 credits at  UpCloud 
-
-
-  
-
-
-
-  
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-
    
-Learn a language for free at Duolingo
-
    
-Buy cheap domains, hosting or other related services at namecheap
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-
    
diff --git a/search-script.js b/search-script.js
deleted file mode 100644
index 47eb36f..0000000
--- a/search-script.js
+++ /dev/null
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-/*!
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-  * Copyright 2015-2020, Christian Fei
-  * Licensed under the MIT License.
-  */
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    cv-shakir
    Updated automatically every 5 minutes
    updated: 7-aug-2026
    \"\"
    Shakir Ahmed Ibrahim
    +91 9600 349 509     networkandcode@gmail.com
    Links: appreciations/awards, blog, dev.to, github, linkedin, youtube
    Techie with experience spanning DevOps/SRE, AI/ML, Fullstack development, Networking and Team leadership. Has experience as a product owner, defining and prioritizing features for UI, APIs and Platform integrations. Led cloud native solutions in automation, CI/CD, data, edge computing, serverless development and observability. Authored technical blogs covering topics in automation, cloud computing, databases, networking, observability, and software development. Designed and developed open source web applications, integrating authentication, UI frameworks, databases, and APIs. Built and deployed solutions across multiple platforms, leveraging modern development and hosting environments.
    Accreditations/Certifications
    Apollo Graph Associate, AWS Community Builder, GitHub Actions, GitHub Advanced Security, Google Cloud Certified Professional Machine Learning Engineer, Grafana Observability Solution Architect, Neo4j Certified Professional, TensorFlow Developer Certificate
    Projects: brailleboard, cricscore, notes, school admin, shop
    Work Experience
    Solution Architect I - Enterprise Solutions | UST, Trivandrum, India | Jun 2019 – Present
    • Led development of AI chatbot with generative and agentic AI capabilities (observability, business insights, web automation, cost analysis with MCP tools and RAG).
    • Designed and developed an AI powered Data Analytics agent with failure handling, retry logic, and improved UX for tool progress messages.
    • Built and deployed a FinOps agent with Langfuse integration for cost observability, including Helm-based deployment and Dockerized packaging on AWS.
    • Diagnosed and resolved production issues in a Slack based conversational agent — fixing memory/context retention and message summarization capabilities.
    • Set up CDK infrastructure for FinOps cloud resources in AWS (Astra account), following IaC best practices.
    • Implemented Slack OAuth MCP for per-user credential management and integrated a Slack Remote MCP Server for seamless MCP framework communication.
    • Refactored integration warning messages for token based connections, improving developer and user experience.
    • Owned end to end development and delivery of the application with microservices, integrated with envoy gateway and OIDC based authentication with keycloak.
    • Was involved in PR reviews and github administration.
    • Involved in establishing GitHub actions based reusable workflows for app and infra code.
    • Led development of observability stacks with 200+ reusable assets; managed Agile projects, mentored teams, and drove knowledge sharing.
    • Lead/Mentor/Support a team of devops engineers
    • Domains worked on: Manufacturing, Retail, Healthcare, Food/Beverage
    • Lead and built along with the team, open telemetry compatible observability solutions with helm charts, dashboards and alerting templates meant to be consumed by clients and within the organization. Bootstrapped deployments for the complete observability stack that has tools such as Grafana, Prometheus, Mimir, Loki, Tempo, Keycloak for Authentication/RBAC etc. on Kubernetes. And GCP based observability solutions involving the GCP native stack such as GCP Monitoring, GCP Logging, GCP Tracing, GCP managed Prometheus
    • Implemented executive and operations hierarchical/drilldown dashboards for AKS, Confluent Kafka, APM, Linux system metrics in Grafana with Elastic as data source, with direct elastic index and prometheus collector index, and alerts with kibana for the same
    • Deployed Confluent kafka on Kubernetes(CFK), integrated it with LDAPS and enabled RBAC. Implemented traffic routing with Istio in TLS pass through mode. Provisioned self signed TLS certificates for each component. Added topics declaratively. Integrated with tibco source and cosmos sink connectors. Installed custom SMTs. Tested the setup with a Spring boot client
    • Supported the setup of CI/CD with Jenkins and Harness for 30+ microservices and their migration from OpenShift to AKS
    • Setup Azure dashboards to monitor metrics received from AKS & App insights logs, with azure cli and arm templates
    • Provided solution for implementing custom alert messages with Azure monitor, Azure communication service and Function app (Python)
    • Provided solution for implementing automated onebox deployments with ArgoCD, Argo workflow, Helm, Jenkins, and Python
    • Worked on a GCP project related to IoT & Serverless
    • Modified existing serverless NodeJS function handlers to support both Azure(existing) and Google cloud run(new)
    • Setup Dockerfiles for deploying cloud run services with express
    • Installed Telegraf with docker compose and configured input(http, opcua, mssql,  socket)  and output(cloud_pubsub, influxdb_v2) plugins
    • Setup simulators with python for ingesting data to telegraf
    • Deploy InfluxDB with Edge data replication (EDR)
    • Wrote code for instantiating neo4j drivers, sessions, and transactions and converted gremlin queries to neo4j cypher in the handlers.
    • Groom the team by taking knowledge sharing sessions on topics such as Neo4j / GraphDB fundamentals, InfluxDB
    • Plan stories on Jira for the team for each sprint
    • Setup Anthos GKE  cluster and deploy workloads with helm
    • Written dataflow job with apache beam in python to ingest data from gcp pub/sub to mongodb
    • Setup GCP cloud workflow with cloud scheduler trigger and parallel steps calling cloud run endpoints
    • Troubleshoot Gitlab CI pipelines that are setup for linting, testing and building serverless functions
    • Taken sprint demos to the customer
    • Track projects’ progress with Jira and run the Kanban/Scrum boards
    • Implemented DevOps environment on Azure with Terraform
    • Setup CI/CD with Jenkins and Spinnaker, Helm , Kubernetes(AKS)
    • Write Istio manifests for gateway, virtual service, and service entry
    • Configuring cloud resources such as application gateway, APIM,  storage account,  sql server, keyvault
    • Involved in change management process initiated via service now
    • Databricks administration activities such as user / secret scope management, cluster creation
    • Setup CI/CD for notebooks and jobs on azure databricks via Jenkins
    • Worked on DevOps tasks assigned through Jira aligned with Platform or Support, centered around the lifecycle of web applications deployed as container workloads
    • Setup CI / CD pipelines using Jenkins / Spinnaker
    • Wrote code in groovy, bash, python for Jenkinsfiles and other scripts
    • Implemented housekeeping tasks for builds and container images
    • Troubleshoot App failures on the AKS cluster
    • Written queries in Kusto and PromQL for scraping metrics via Azure Log Analytics and Prometheus respectively
    • Provisioned Grafana dashboards for visualizing App and cluster metrics, with Azure AD integration, and configured email alerts for certain thresholds
    • Implemented the workflow for automatic secret management of containers in Kubernetes, with pipelines, and via Azure key vault and Twistlock
    • Added functionalities to the pipeline, such as NPM Audit with whitelisted CWEs and CVEs, OWASP dependency check for gradle and maven builds with suppression file
    • Wrote a pipeline stage as code, to do Pass / Fail check for ZAP scan on a target URL based on parameters such as number of warnings and Failures
    • Performed POCs on contract tests with Pact and validation using Pact Broker, UI tests on Zalenium
    • Exposed to platform / tooling ecosystem such as Artifactory, Azure, Helm, Kubernetes, SonarQube
    • Identified unused cloud components in Azure that could be removed and to save cost if applicable
    • Wrote Azure DevOps pipeline to automate start and stop of AKS clusters with cron
    Product Consultant 3, Juniper Networks; Bangalore, India — 4 Feb 2019 — 14 Jun 2019
    • Individual technical contributor, attend project calls with stakeholders, draft LLDs / HLDs, simulate Labs on VMM, assist ISP customers with implementation/support in both testbeds/POCs and Production.
    • Scope of Work involves Design, Validation, Testing, Deployment, Acceptance Testing, Knowledge transfer and Post Installation support
    • Installed AppFormix on standalone, Kubernetes and VMware ESXi platforms
    • Taken knowledge sharing sessions on AppFormix to other peers in the team
    • Installed Contrail HeathBot in a multinode environment, using Docker Swarm
    • Contributed to internal GIT Wiki with content such as installing HealthBot, installing AppFormix and Contrail Networking in an OpenStack environment
    • Worked on JunOS Space/Service Now project and Fixed Incident generation and SFTP access issue, upgraded AI Scripts on SRX
    • Partly involved in jQuery/JavaScript validation for an internal dashboard
    Sr. Principal Infrastructure Engineer, Mphasis Ltd; Chennai, India — 6 Sep 2016 — 18 Jan 2019
    • Lead a team of 10+ members, and responsible for task assignment, activity reports, time tracking, performance review/rating, appreciations & award nominations. 90+ appreciation cards sent to the team members. Delegated value add on tasks such as  Leave/Workload analysis, 4Eye forecast/updates, Training mentor, SOP reviewer, SDM call SPOC, Dashboard preparation, MTP auditing to individuals. The team has contributed with 40+ SOPs, received 50+ client appreciations, 2 promotions and 20+ monthly awards
    • Used Office 365 tools such as SharePoint lists (with formulae validation), OneNote (for shared Knowledge transfer), Power Bi (for visual reports) effectively for organizing the team in all aspects such as achieving goals, timesheets, comp-off / allowance trackers, new member onboarding guidance
    • Provided weekly SDM reports and monthly team dashboards to validate the team’s overall performance
    • Individually contributed by implementing the LAN & WLAN setups of 50+ sites in APJ & EMEA with varying scopes such as new setups, migration, split-up & merger, decommissioning, etc.
    • Project life cycle includes RFC submissions using SDLC manager / HPSM, attending CAB/TAB calls, following ITIL change management processes, project coordination, design validation, device monitoring (HPNA, HP NNM, Airwave, ClearPass) addition/removal/modification tasks
    • Majority of the work involved Re-IP and Redesigning networks including wireless, and WAN migration through the new service provider
    • Network router / switch activities include: HA concepts like VRRP, IRF; monitoring configuration like SNMP/TACACS; routing/switching configuration like OSPF, BFD, Multicast, BGP, STP
    • Wireless activities performed are migrating from MSM to Aruba, setting up the local controller (7200 series) including High Availability, GRE tunneling the local and master controller, dynamic AP provisioning, configuring the access switch ports to untag/tag proper VLANs to the access points, SSID, Other relevant sync up configuration between the master and local controller such as WAP groups, SSIDs, HA groups
    • Partly involved in incident and release management (patch upgrades for procurve, comware and Aruba devices)
    • Developed python-based scripts/tools in both CLI and GUI form using libraries like paramiko, netmiko, tkinter, kivy, to execute recurring day to day tasks such as Configuration preparation templates, Inventory checks for CMDB updates, Bulk DNS/Ping, PAC checks, disabling SNMP based on interface descriptions, Move to production (MTP) audits, remote commands executor, audit hundreds of configuration text files using regular expression pattern search
    • Used multithreading and multiprocessing with python code wherever applicable to fasten execution time
    • Assisted an internal project with 2 major automation tasks: SSH hardening on 3K plus HP Comware devices, and TACACS domain/server migration for approx. 5K HP Comware / Cisco IOS devices
    • Contributed to the Employee Development Program by conducting Knowledge sharing sessions on topics like Python for network automation, Linux for networking, NETCONF and OpenStack administration, webinar on Networking in the Cloud
    • Had contributed with 20+ SOPs on topics such as OS upgrades, Wireless ReIP
    • Assisted the TalentNext team with drafting the upskilling requirements for the SDN practice
    • Involved in auditing / assessing the network infrastructure for various accounts under the practice, w.r.t configuration, architecture, device support, capacity/uptime, Next Gen readiness
    • Coordinated with external and internal stakeholders vendors to carry out Proof of concepts on technologies like SD-WAN, spinning topologies on the AWS cloud, and for testing functionalities such as QoS, NGFW
    Sr. Analyst, HCL Technologies; Chennai, India — 23 Mar 2015 — 12 Aug 2016
    Sr. N/W Engineer, BRT India (on contract with HCL); 20May2013—18Mar2015
    • Was part of the Global IT Networks Business Onboarding team, role: Network design, implementation and project coordination. Worked for project types such as expansion, redesign, migration, new setup etc.
    • Designed end-to-end networks, prepared RFP, HLD, LLD using Visio, BOM for LAN/WLAN/WAN inventory and links, raised change/incident requests, and coordinated with various stakeholders and vendors, until successful implementation & UAT
    • Implemented Microsoft Azure Express route setups, IPSEC (Client-to-Site / Site-to-Site) / MPLS L3 VPNs, shared/dedicated LANs, and thin client/zero client/VDI based connectivity
    • Submitted LLDs with firm quotes to give a more clearer picture to the Business on the costs involved, solution benefits, and timelines involved, dependencies from the business on certain factors such as local on-site or offshore infra readiness before link deployment, demark agreements, legal formalities with merging the MPLS VRF of two different service providers or between two different entities (example India and UK) of the same provider
    • Regular meetings held to update the link/hardware delivery/implementation progress
    • Installed and configured new devices that include Cisco IOS or Juniper JunOS EX/MX, configured protocols such as OSPF, BGP
    • ITIL change management process is followed for all backbone/operational changes such as adding a new VLAN / VRF for the new customer, assigning BW to the customer VRF, capacity management to cater BW forecasts, adding IP VPN routes for the customer destinations towards the shared internet gateway, and coordination is done with respective stakeholders and the required configuration is shared with them in predefined templates
    • Prepared an end to end document and handover liability to global NOC after successful implementation and UAT
    • Reviewed projects handled by the team reported highlights/challenges to the management every week
    Sr. Consultant, Sutherland Global Services, Cochin, India — 27 Feb 2012 — 22 Sep 2012
    • Remote support over phone and chat, for Networking devices/links, Desktops, Printers, gadgets, applications such as Microsoft outlook, and fixing virus/malware infections.
    • The SLA was for each case had more time (more than an hour in average), as this was 3rd level of support and is a paid subscription which isn’t associated with any product
    • Issues could be complex and there were 3 ways to assist the customer according to the need – phone, chat or remote desktop
    • Occasionally assisted with fixing CCTV remote access issues where the router’s port forwarding had to be configured properly
    Sr. Support Engineer, CSS Corp, Chennai; 21 Mar 2011 — 16 Feb 2012
    • Technical assistance over Phone, for new VOIP gateway installations, fixing audio errors & call completion issues, modems/routers, fax setup, and refreshing lines on VOIP adapters.
    • Worked for the technical support team, had to attend incoming calls and resolve customer’s issues
    • Assisted with both technical and billing issues
    • The calls had to be closed within the predefined Average SLA (approx. 15 to 20 min) and 100% CSATs are to be met
    • Handled calls from US and Canada regions
    Sr. Project Engineer, Gecom, Bahrain; 11 Jan 2010 — 11 Jan 2011
    • Site survey, installation, commissioning, documentation, maintenance and support for networking devices such as modems/routers/wireless APs/switches, PABX/PBX, CCTVs/DVRs, biometric infra, Clipsal c-bus Intelligent lighting automation, security/alarm systems. Assisted with remote CCTV access using DYNDNS configuration.
    • The work is 100% on site, except for time entry and certain meetings in the office
    • Projects are segregated team wise, with each team handling its own set of projects, Worked for two different teams under different supervisors during this job, involved as a team and executed all the activities of a project from scratch, for instance a lighting project gave exposure from the initial phase of wiring (using cat5/6 for both electricity and network) until implementing the lighting scenarios including brightness levels based on switch/touch panel events that are orchestrated using the software provided by Clipsal
    • Was involved in setting up the CCTV & Security Panel systems at ATMs and various Bank premises, that was all part of one big project as a whole
    • Lighting implementations handled for few ministry projects and occasionally involved in the maintenance of the previously implemented lighting automation at the World Trade Center
    • Performed various other related work for Hotels, Villas (individual or a group owned by a single entity), Shops in Malls, etc.
    • Had deployed BOSE sound systems on few occasions, once for a private house party DJ setup
    Education
    • BITS Pilani work integrated learning programmes, M.Tech.(CSI), CGPA 8.17, 2020
    • Crescent Engineering College, Bachelor of Engineering in E.C.E, 62%, 2008
    Addons
    • Was involved in setting up curriculum and evaluation criteria in DevOps and AI for freshers
    • Was involved in showcasing agentic AI product at booths in UST events
    • Part of the UST ignite / colors community, gave computer science training for school students on programs such as Microsoft word, excel, power point
    • Part of the Generative AI initiative in UST, took trainings with in the organization
    • Winner of the secure code warrior competition organized by UST
    • Acknowledged by colleagues with positive feedback
    • Received the CISS Champion Badge
    • Recipient of Google India challenge scholarship 2018
    • Participated in the Juniper haiku learning bytes challenge 
    • Submitted network designs in the Juniper Idea2Design challenge 2015
    • Solved challenges in tournaments 3 and 4 of JunOS cup 2014
    • Past Freelancing Experience: Teaching, Web Development
    • Involved in part time tutoring – private, online and classroom based 
    • Secured seat in college through merit with entrance cut-off 280+/300
    • Volunteered for electoral activities through NSS
    • Participated in Computer science events and won awards during school
    • Represented super senior level school cricket team
    Course completions
    API penetration testing, Confluent fundamentals for Apache Kafka, Data collection with Telegraf, Servant Leadership (SLAM)
    Languages
    Read, Write & Speak: Tamil(Mother Tongue), Telugu, Hindi, English. Read & Write: Arabic. Speak: Malayalam.
    "
+}
\ No newline at end of file
diff --git a/src/data/githubStats.ts b/src/data/githubStats.ts
new file mode 100644
index 0000000..d106f50
--- /dev/null
+++ b/src/data/githubStats.ts
@@ -0,0 +1,49 @@
+export interface ContributionStat {
+  year: string;
+  count: number;
+  level: number;
+}
+
+export interface RepoSummary {
+  totalRepos: number;
+  topLanguages: { name: string; percentage: number; color: string }[];
+  categories: { name: string; count: number }[];
+}
+
+export const githubProfileSummary: RepoSummary = {
+  totalRepos: 64,
+  topLanguages: [
+    { name: "JavaScript / TypeScript", percentage: 42, color: "#f97316" },
+    { name: "Python", percentage: 28, color: "#fbbf24" },
+    { name: "Go / Infrastructure & Shell", percentage: 18, color: "#38bdf8" },
+    { name: "HTML / CSS & Others", percentage: 12, color: "#a855f7" }
+  ],
+  categories: [
+    { name: "Cloud & AI Agents (Strands, MCP, CrewAI, RAG)", count: 18 },
+    { name: "Kubernetes, Helm & Orchestration", count: 16 },
+    { name: "Observability & OTEL (Grafana, Tempo, OpenLIT)", count: 12 },
+    { name: "Full-Stack Web Apps (Next.js, Svelte, Appwrite)", count: 18 }
+  ]
+};
+
+// Generated monthly contribution matrix for activity graph
+export const monthlyContributions = [
+  { month: "Jan 2025", count: 48 },
+  { month: "Feb 2025", count: 62 },
+  { month: "Mar 2025", count: 55 },
+  { month: "Apr 2025", count: 70 },
+  { month: "May 2025", count: 84 },
+  { month: "Jun 2025", count: 96 },
+  { month: "Jul 2025", count: 110 },
+  { month: "Aug 2025", count: 105 },
+  { month: "Sep 2025", count: 124 },
+  { month: "Oct 2025", count: 90 },
+  { month: "Nov 2025", count: 82 },
+  { month: "Dec 2025", count: 75 },
+  { month: "Jan 2026", count: 115 },
+  { month: "Feb 2026", count: 130 },
+  { month: "Mar 2026", count: 142 },
+  { month: "Apr 2026", count: 168 },
+  { month: "May 2026", count: 155 },
+  { month: "Jun 2026", count: 190 }
+];
diff --git a/src/data/projects.ts b/src/data/projects.ts
new file mode 100644
index 0000000..fb77121
--- /dev/null
+++ b/src/data/projects.ts
@@ -0,0 +1,51 @@
+export interface Project {
+  title: string;
+  name: string;
+  description: string;
+  articleUrl: string;
+  repoUrl?: string;
+  techStack: string[];
+}
+
+export const featuredProjects: Project[] = [
+  {
+    title: "BrailleBoard Web Application",
+    name: "brailleboard",
+    description: "Text-to-Braille conversion web application built with Appwrite backend, Next.js frontend, and Web Speech API for accessibility.",
+    articleUrl: "https://networkandcode.hashnode.dev/text-to-braille-webpp-with-appwrite-nextjs-and-web-speech-api",
+    repoUrl: "https://github.com/networkandcode/brailleboard",
+    techStack: ["Next.js", "Appwrite", "Web Speech API", "React"]
+  },
+  {
+    title: "CricScore - Cricket Scoring Web App",
+    name: "cricscore",
+    description: "Live cricket match scoring app with real-time score updates, match stats, and database management.",
+    articleUrl: "https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730",
+    repoUrl: "https://github.com/networkandcode/cricscore",
+    techStack: ["Next.js", "Appwrite", "TailwindCSS", "Node.js"]
+  },
+  {
+    title: "Notes App with Next.js & Serverless",
+    name: "notes",
+    description: "Full-stack notes application featuring instant search, dynamic tags, and cloud database persistence.",
+    articleUrl: "https://dev.to/networkandcode/notes-app-with-nextjs-2l4g",
+    repoUrl: "https://github.com/networkandcode/notes-app",
+    techStack: ["Next.js", "Serverless", "React", "REST API"]
+  },
+  {
+    title: "School Management System",
+    name: "school admin",
+    description: "Comprehensive school administrative dashboard deployed on Linode cloud with student records, attendance, and role-based access.",
+    articleUrl: "https://networkandcode.hashnode.dev/school-admin-app-with-nextjs-on-linode",
+    repoUrl: "https://github.com/networkandcode/sms",
+    techStack: ["Next.js", "TypeScript", "Linode Cloud", "Docker"]
+  },
+  {
+    title: "Online Shop with Next.js & HarperDB",
+    name: "shop",
+    description: "E-commerce web application backed by HarperDB NoSQL/SQL database and Next.js frontend rendering.",
+    articleUrl: "https://networkandcode.hashnode.dev/online-shop-with-nextjs-and-harperdb",
+    repoUrl: "https://github.com/networkandcode/shop",
+    techStack: ["Next.js", "HarperDB", "GraphQL", "React"]
+  }
+];
diff --git a/src/data/videos.ts b/src/data/videos.ts
new file mode 100644
index 0000000..29ef1de
--- /dev/null
+++ b/src/data/videos.ts
@@ -0,0 +1,35 @@
+export interface YouTubeVideo {
+  id: string;
+  title: string;
+  url: string;
+  thumbnail: string;
+  category: string;
+}
+
+export const youtubeVideos: YouTubeVideo[] = [
+  { id: "aIEpu5o4fPU", title: "Kubernetes MCP example with Strands Agents", url: "https://www.youtube.com/watch?v=aIEpu5o4fPU", thumbnail: "https://i.ytimg.com/vi/aIEpu5o4fPU/hqdefault.jpg", category: "Agentic AI & MCP" },
+  { id: "LjT4EP2kYHo", title: "Sample AI app (Boutique bot) demo with Gemini, MCP-Agent, Streamlit", url: "https://www.youtube.com/watch?v=LjT4EP2kYHo", thumbnail: "https://i.ytimg.com/vi/LjT4EP2kYHo/hqdefault.jpg", category: "Agentic AI & MCP" },
+  { id: "QzW3HOWovJc", title: "Strands Agents with Gemini", url: "https://www.youtube.com/watch?v=QzW3HOWovJc", thumbnail: "https://i.ytimg.com/vi/QzW3HOWovJc/hqdefault.jpg", category: "Agentic AI & MCP" },
+  { id: "cBpEiypsQLU", title: "Strands Agents with Tools", url: "https://www.youtube.com/watch?v=cBpEiypsQLU", thumbnail: "https://i.ytimg.com/vi/cBpEiypsQLU/hqdefault.jpg", category: "Agentic AI & MCP" },
+  { id: "FgzLEhAYF40", title: "Strands Agents with Streamlit Chat UI", url: "https://www.youtube.com/watch?v=FgzLEhAYF40", thumbnail: "https://i.ytimg.com/vi/FgzLEhAYF40/hqdefault.jpg", category: "Agentic AI & MCP" },
+  { id: "iidTHzkXB8k", title: "OTEL Observability with Langfuse for Strands Agents", url: "https://www.youtube.com/watch?v=iidTHzkXB8k", thumbnail: "https://i.ytimg.com/vi/iidTHzkXB8k/hqdefault.jpg", category: "Observability & OTEL" },
+  { id: "jw2FXDwEFWg", title: "Grafana Cloud: Application Observability with OpenTelemetry (Otel)", url: "https://www.youtube.com/watch?v=jw2FXDwEFWg", thumbnail: "https://i.ytimg.com/vi/jw2FXDwEFWg/hqdefault.jpg", category: "Observability & OTEL" },
+  { id: "oaYTASIm1lc", title: "Argo CD Installation on Kubernetes with Docker Desktop", url: "https://www.youtube.com/watch?v=oaYTASIm1lc", thumbnail: "https://i.ytimg.com/vi/oaYTASIm1lc/hqdefault.jpg", category: "DevOps & CI/CD" },
+  { id: "pz334Tqjatw", title: "Implementing Canary Deployments with Argo CD and Argo Rollouts", url: "https://www.youtube.com/watch?v=pz334Tqjatw", thumbnail: "https://i.ytimg.com/vi/pz334Tqjatw/hqdefault.jpg", category: "DevOps & CI/CD" },
+  { id: "URN2cXZ8j50", title: "Setting up Ingress to expose a Service in Kubernetes", url: "https://www.youtube.com/watch?v=URN2cXZ8j50", thumbnail: "https://i.ytimg.com/vi/URN2cXZ8j50/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "DB41eOxIkoY", title: "Controlling Pod Scheduling with Kubernetes Taints and Tolerations", url: "https://www.youtube.com/watch?v=DB41eOxIkoY", thumbnail: "https://i.ytimg.com/vi/DB41eOxIkoY/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "iTkz1bIacHM", title: "Creating and Decoding Kubernetes Secrets", url: "https://www.youtube.com/watch?v=iTkz1bIacHM", thumbnail: "https://i.ytimg.com/vi/iTkz1bIacHM/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "tsCCdPzSBMo", title: "Managing Node Workloads with Kubernetes Cordon and Drain", url: "https://www.youtube.com/watch?v=tsCCdPzSBMo", thumbnail: "https://i.ytimg.com/vi/tsCCdPzSBMo/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "7o6koGCsoSc", title: "Load Balancer Service in Kubernetes", url: "https://www.youtube.com/watch?v=7o6koGCsoSc", thumbnail: "https://i.ytimg.com/vi/7o6koGCsoSc/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "5fGvzb2ei0s", title: "How to Schedule Pods on Specific Nodes with Node Selectors", url: "https://www.youtube.com/watch?v=5fGvzb2ei0s", thumbnail: "https://i.ytimg.com/vi/5fGvzb2ei0s/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "UMfGQJ0f95I", title: "Add a Custom Kubernetes Scheduler", url: "https://www.youtube.com/watch?v=UMfGQJ0f95I", thumbnail: "https://i.ytimg.com/vi/UMfGQJ0f95I/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "wEiRS3rgdX4", title: "Kubernetes Backup and Restore steps (Using Kubeadm)", url: "https://www.youtube.com/watch?v=wEiRS3rgdX4", thumbnail: "https://i.ytimg.com/vi/wEiRS3rgdX4/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "gnWS4FYlHeo", title: "Kubernetes StatefulSet with Headless Service", url: "https://www.youtube.com/watch?v=gnWS4FYlHeo", thumbnail: "https://i.ytimg.com/vi/gnWS4FYlHeo/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "udSPJXMU9L4", title: "Kubernetes Hands on Tutorial: Pods, Deployments, Services, and More", url: "https://www.youtube.com/watch?v=udSPJXMU9L4", thumbnail: "https://i.ytimg.com/vi/udSPJXMU9L4/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "SluB83Cg6oI", title: "Using the Kubernetes API Reference to Create a Pod", url: "https://www.youtube.com/watch?v=SluB83Cg6oI", thumbnail: "https://i.ytimg.com/vi/SluB83Cg6oI/hqdefault.jpg", category: "Kubernetes Tutorials" },
+  { id: "z6w9v7hRI68", title: "Docker tutorial for beginners: Install OWASP Juice Shop", url: "https://www.youtube.com/watch?v=z6w9v7hRI68", thumbnail: "https://i.ytimg.com/vi/z6w9v7hRI68/hqdefault.jpg", category: "Docker & Containers" },
+  { id: "ftuXh-eLBMk", title: "Docker tutorial for beginners: Install InfluxDB with Docker Compose", url: "https://www.youtube.com/watch?v=ftuXh-eLBMk", thumbnail: "https://i.ytimg.com/vi/ftuXh-eLBMk/hqdefault.jpg", category: "Docker & Containers" },
+  { id: "-TJuiY9KppE", title: "Docker tutorial for beginners: Install InfluxDB", url: "https://www.youtube.com/watch?v=-TJuiY9KppE", thumbnail: "https://i.ytimg.com/vi/-TJuiY9KppE/hqdefault.jpg", category: "Docker & Containers" }
+];
+
+export const YOUTUBE_CHANNEL_URL = "https://www.youtube.com/@kubetrain";
diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
new file mode 100644
index 0000000..29b1ded
--- /dev/null
+++ b/src/layouts/BaseLayout.astro
@@ -0,0 +1,150 @@
+---
+import '../styles/global.css';
+
+interface Props {
+  title?: string;
+  description?: string;
+}
+
+const { 
+  title = "Shakir Ahmed Ibrahim | Cloud Native, DevOps & Systems Engineering Portfolio", 
+  description = "Engineering portfolio & technical notes by Shakir Ahmed Ibrahim. Cloud architecture, Kubernetes guides, and AI/ML systems." 
+} = Astro.props;
+---
+
+
+
+  
+    
+    
+    
+    
+    
+    {title}
+    
+  
+  
+    
    
+      
    
+        
+      
    
+    
    
+
+    
    
+      
+    
    
+
+    
+  
+
+
+
diff --git a/src/lib/posts.ts b/src/lib/posts.ts
new file mode 100644
index 0000000..a594c26
--- /dev/null
+++ b/src/lib/posts.ts
@@ -0,0 +1,23 @@
+export interface PostData {
+  id: string;
+  title: string;
+  dateStr: string;
+  category: string;
+  body: string;
+  rawUrl: string;
+}
+
+export function parsePostFilename(filename: string) {
+  // Extract date if present (YYYY-MM-DD)
+  const match = filename.match(/^(\d{4}-\d{2}-\d{2})-(.+)$/);
+  if (match) {
+    return {
+      dateStr: match[1],
+      slug: match[2].replace(/\.(md|markdown|html)$/, '')
+    };
+  }
+  return {
+    dateStr: '2022-01-01',
+    slug: filename.replace(/\.(md|markdown|html)$/, '')
+  };
+}
diff --git a/src/lib/syncCv.ts b/src/lib/syncCv.ts
new file mode 100644
index 0000000..e89a756
--- /dev/null
+++ b/src/lib/syncCv.ts
@@ -0,0 +1,60 @@
+import type { AstroIntegration } from 'astro';
+import fs from 'node:fs';
+import path from 'node:path';
+import https from 'node:https';
+
+const GOOGLE_DOC_URL = 'https://docs.google.com/document/d/e/2PACX-1vRB5hdZs7dKLFRZonRdw9I_l5JfhQLJ4jMGtwLcaNmM_kEs3f1t_up7WdjieEWC08Q9jVdpfBeoB4K7/pub';
+
+export function syncGoogleDocCv(): AstroIntegration {
+  return {
+    name: 'sync-google-doc-cv',
+    hooks: {
+      'astro:config:setup': async () => {
+        console.log('[sync-cv] Fetching latest CV from Google Doc...');
+        try {
+          const html = await new Promise((resolve, reject) => {
+            https.get(GOOGLE_DOC_URL, (res) => {
+              let data = '';
+              res.on('data', (chunk) => (data += chunk));
+              res.on('end', () => resolve(data));
+            }).on('error', reject);
+          });
+
+          // Clean HTML: Keep structure but clean Google wrapper styles
+          let docHtml = '';
+          const contentsMatch = html.match(/
    ([\s\S]*?)<\/div>\s*<\/body>/i) 
+                             || html.match(/
    ([\s\S]*?)<\/div>\s*<\/body>/i);
+
+          if (contentsMatch) {
+            docHtml = contentsMatch[1];
+          } else {
+            const bodyMatch = html.match(/]*>([\s\S]*?)<\/body>/i);
+            docHtml = bodyMatch ? bodyMatch[1] : html;
+          }
+
+          // Clean out unwanted script tags, style attributes, and banner headers from Google Doc export
+          docHtml = docHtml
+            .replace(//gi, '')
+            .replace(/
    [\s\S]*?<\/div>\s*<\/div>/gi, '')
+            .replace(//gi, '')
+            .replace(/style="[^"]*"/gi, '')
+            .replace(/class="[^"]*"/gi, '');
+
+          const cvDataPath = path.resolve(process.cwd(), 'src/data/cv.json');
+          fs.mkdirSync(path.dirname(cvDataPath), { recursive: true });
+          fs.writeFileSync(
+            cvDataPath, 
+            JSON.stringify({ 
+              url: GOOGLE_DOC_URL, 
+              updatedAt: new Date().toISOString(), 
+              cleanHtml: docHtml 
+            }, null, 2)
+          );
+          console.log('[sync-cv] Successfully synced HTML CV data to src/data/cv.json');
+        } catch (err) {
+          console.error('[sync-cv] Failed to fetch Google Doc CV:', err);
+        }
+      },
+    },
+  };
+}
diff --git a/src/lib/syncDevTo.ts b/src/lib/syncDevTo.ts
new file mode 100644
index 0000000..0ecefb8
--- /dev/null
+++ b/src/lib/syncDevTo.ts
@@ -0,0 +1,61 @@
+import type { AstroIntegration } from 'astro';
+import fs from 'node:fs';
+import path from 'node:path';
+import https from 'node:https';
+
+export function syncDevToPosts(): AstroIntegration {
+  return {
+    name: 'sync-devto-posts',
+    hooks: {
+      'astro:config:setup': async () => {
+        console.log('[sync-devto] Checking for DEV.to posts updates...');
+        try {
+          const fetchJson = (url: string) => {
+            return new Promise((resolve, reject) => {
+              const req = https.get(url, { headers: { 'User-Agent': 'AstroSync' } }, (res) => {
+                let data = '';
+                res.on('data', (c) => (data += c));
+                res.on('end', () => resolve(JSON.parse(data)));
+              });
+              req.on('error', reject);
+            });
+          };
+
+          const articles = await fetchJson('https://dev.to/api/articles?username=networkandcode&per_page=100');
+          const postsDir = path.resolve(process.cwd(), '_posts');
+
+          for (const art of articles) {
+            const dateStr = art.published_at.slice(0, 10);
+            const subfolder = path.join(postsDir, dateStr);
+            fs.mkdirSync(subfolder, { recursive: true });
+
+            const slug = art.title.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/(^-|-$)/g, '');
+            const filepath = path.join(subfolder, `${dateStr}-${slug}.md`);
+
+            if (!fs.existsSync(filepath)) {
+              console.log(`[sync-devto] Fetching body for new post: ${art.title}`);
+              const detail = await fetchJson(`https://dev.to/api/articles/${art.id}`);
+              let bodyMd = detail.body_markdown || '';
+
+              if (bodyMd.startsWith('---')) {
+                const parts = bodyMd.split('---');
+                if (parts.length >= 3) {
+                  bodyMd = parts.slice(2).join('---');
+                }
+              }
+
+              const cover = art.cover_image ? `cover_image: "${art.cover_image}"\n` : '';
+              const tags = art.tag_list?.length ? `tags: "${art.tag_list.join(', ')}"\ncategories: "${art.tag_list.join(', ')}"\n` : '';
+              const frontmatter = `---\ncanonical_url: "${art.url}"\ndate: "${dateStr}"\ntitle: "${art.title.replace(/"/g, '\\"')}"\n${cover}${tags}---\n\n**This post first appeared on [dev.to](${art.url})**\n\n`;
+
+              fs.writeFileSync(filepath, frontmatter + bodyMd.trim() + '\n', 'utf-8');
+            }
+          }
+          console.log('[sync-devto] All DEV.to posts synced.');
+        } catch (err) {
+          console.error('[sync-devto] DEV.to sync check skipped or failed:', err);
+        }
+      },
+    },
+  };
+}
diff --git a/src/pages/about.astro b/src/pages/about.astro
new file mode 100644
index 0000000..cba7682
--- /dev/null
+++ b/src/pages/about.astro
@@ -0,0 +1,124 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+---
+
+
+  
    
+    
    
+      
    About networkandcode
    
+      
+      
    
+        blog > practice > share | [ network coding cloud… ]
+      
    
+
+      
    
+        
    
+          Welcome! This site serves as an engineering portfolio and a structured knowledge base of notes/posts related to technical topics such as Cloud Native Infrastructure, Kubernetes Orchestration, Software-Defined Networking, and Systems Automation.
+        
    
+
+        
    Core Domains
    
+        
      
+          
    • Cloud Architecture: AWS & GCP infrastructure design, Terraform, and Serverless computing.
      • 
+          
    • Containers & Orchestration: Production Kubernetes (EKS, GKE, Anthos, Kubeadm), Helm chart packaging, and Cloud Native runtime security.
      • 
+          
    • Networking & Edge: BGP/OSPF routing, Cumulus Linux, Linux networking tools (TCPDump, Wireshark), and IoT MQTT protocols.
      • 
+          
    • Full-Stack & Observability: Next.js, Node.js, Python, HarperDB, Graph DBs (Neo4j), and OpenTelemetry tracing (OTEL).
      • 
+        
    
+
+        
    Connect & Explore
    
+        
+      
    
+    
    
+  
    
+    
+
+
diff --git a/src/pages/accreditations.astro b/src/pages/accreditations.astro
new file mode 100644
index 0000000..f4ef3c9
--- /dev/null
+++ b/src/pages/accreditations.astro
@@ -0,0 +1,151 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { accreditations } from '../data/accreditations';
+---
+
+
+  
    
+    
    
+      
    📜 Verified Credentials
    
+      
    Accreditations & Certifications
    
+      
    
+        Official industry certifications parsed directly from Google Doc credentials vault.
+      
    
+
+      
    
+        
    
+          
+          Includes Google Cloud ML Engineer, AWS Community Builder, Grafana Solution Architect, Neo4j, and GitHub certifications.
+        
    
+        {accreditations.length} Verified Badges
+      
    
+    
    
+
+    
    
+      {accreditations.map(item => (
+        
+          
    
+            {item.category}
+            {item.issuer}
+          
    
+          
    {item.name}
    
+          
    
+            Verify Credential →
+          
    
+            
+      ))}
+    
    
+  
    
+    
+
+
diff --git a/src/pages/awards.astro b/src/pages/awards.astro
new file mode 100644
index 0000000..9b9a8af
--- /dev/null
+++ b/src/pages/awards.astro
@@ -0,0 +1,159 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { awardsAndCertificates, DRIVE_FOLDER_URL } from '../data/certificates';
+---
+
+
+  
    
+    
    
+      
    🏆 Honors & Recognition
    
+      
    Awards & Certificates
    
+      
    
+        Parsed directly from the official verified Google Drive vault of performance, innovation, and leadership awards.
+      
    
+
+      
    
+        
+        {awardsAndCertificates.length} Awards Logged
+      
    
+    
    
+
+    
    
+      {awardsAndCertificates.map(cert => (
+        
    
+          
    
+            {cert.category}
+            {cert.awarder}
+          
    
+          
    {cert.title}
    
+          
    
+            📅 {cert.dateStr}
+            View File →
+          
    
+        
    
+      ))}
+    
    
+  
    
+    
+
+
diff --git a/src/pages/blog/[...slug].astro b/src/pages/blog/[...slug].astro
new file mode 100644
index 0000000..ba576c1
--- /dev/null
+++ b/src/pages/blog/[...slug].astro
@@ -0,0 +1,130 @@
+---
+import BaseLayout from '../../layouts/BaseLayout.astro';
+import { getCollection, render } from 'astro:content';
+
+export async function getStaticPaths() {
+  const posts = await getCollection('blog');
+  return posts.map((post) => {
+    const slug = post.id.replace(/\.(md|markdown|html)$/, '');
+    return {
+      params: { slug },
+      props: { post },
+    };
+  });
+}
+
+const { post } = Astro.props;
+const { Content } = await render(post);
+
+const title = post.data.title || post.id.split('/').pop()?.replace(/\.(md|markdown|html)$/, '').replaceAll('-', ' ') || 'Blog Post';
+---
+
+
+  
    
+    
    
+      
    
+        ← Back to all blogs
+      
    
+      
    {title}
    
+      {post.data.date && }
+    
    
+
+    
    
+      
+    
    
+  
    
+    
+
+
diff --git a/src/pages/blog/index.astro b/src/pages/blog/index.astro
new file mode 100644
index 0000000..f4d26ba
--- /dev/null
+++ b/src/pages/blog/index.astro
@@ -0,0 +1,235 @@
+---
+import BaseLayout from '../../layouts/BaseLayout.astro';
+import { getCollection } from 'astro:content';
+
+const posts = await getCollection('blog');
+
+const processedPosts = posts.map((post) => {
+  const pathParts = post.id.split('/');
+  const filename = pathParts[pathParts.length - 1];
+  const dateMatch = filename.match(/^(\d{4}-\d{2}-\d{2})-(.+)$/);
+  
+  let dateStr = '2024-01-01';
+  let cleanTitle = post.data.title || filename.replace(/\.(md|markdown|html)$/, '').replaceAll('-', ' ');
+
+  if (post.data.date) {
+    dateStr = String(post.data.date).slice(0, 10);
+  } else if (dateMatch) {
+    dateStr = dateMatch[1];
+  }
+
+  let category = 'Cloud & DevOps';
+  const postStr = (post.id + ' ' + (post.data.tags || '') + ' ' + (post.data.categories || '')).toLowerCase();
+
+  if (postStr.includes('agent') || postStr.includes('ai') || postStr.includes('mcp') || postStr.includes('bedrock') || postStr.includes('gemma')) {
+    category = 'Agentic AI & LLMs';
+  } else if (postStr.includes('kubernetes') || postStr.includes('k8s') || postStr.includes('helm') || postStr.includes('eks')) {
+    category = 'Kubernetes';
+  } else if (postStr.includes('otel') || postStr.includes('grafana') || postStr.includes('tracing') || postStr.includes('logging')) {
+    category = 'Observability & OTEL';
+  } else if (postStr.includes('aws') || postStr.includes('gcp') || postStr.includes('serverless')) {
+    category = 'Cloud Architecture';
+  } else if (postStr.includes('python')) {
+    category = 'Python Automation';
+  }
+
+  const isDevTo = post.data.canonical_url || post.body?.includes('dev.to');
+
+  return {
+    id: post.id,
+    title: cleanTitle,
+    dateStr,
+    category,
+    isDevTo: Boolean(isDevTo),
+    canonicalUrl: post.data.canonical_url || 'https://dev.to/networkandcode',
+    slug: post.id.replace(/\.(md|markdown|html)$/, '')
+  };
+}).sort((a, b) => (a.dateStr > b.dateStr ? -1 : 1));
+
+const categoriesList = ['All', 'Agentic AI & LLMs', 'Kubernetes', 'Observability & OTEL', 'Cloud Architecture', 'Python Automation', 'Cloud & DevOps'];
+---
+
+
+  
    
+    
    
+      
    ✍️ Technical Writing & Blog
    
+      
    Blog & Article Archives
    
+      
    
+        Explore all {processedPosts.length} technical articles written across Agentic AI, Kubernetes, OpenTelemetry, AWS, and Cloud Automation.
+      
    
+
+      
    
+        
    
+          
+          Official articles synced live from dev.to/networkandcode.
+        
    
+        
+          Visit DEV.to Profile →
+        
+      
    
+    
    
+
+    
    
+      {processedPosts.map(post => (
+        
+      ))}
+    
    
+  
    
+    
+
+
diff --git a/src/pages/cv.astro b/src/pages/cv.astro
new file mode 100644
index 0000000..3b3b896
--- /dev/null
+++ b/src/pages/cv.astro
@@ -0,0 +1,123 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import cvData from '../data/cv.json';
+
+const { updatedAt, url } = cvData;
+---
+
+
+  
    
+    
    
+      
    📄 Official Curriculum Vitae
    
+      
    Curriculum Vitae
    
+      
    
+        Access the live, auto-updated Google Doc document for Shakir Ahmed Ibrahim.
+      
    
+    
    
+
+    
    
+      
    
+        
+          
+          
+          
+          
+          
+        
+      
    
+
+      
    
+        
    Live Google Doc Resume
    
+        
    Maintained live and synced with real-time updates.
    
+        Last Synced: {new Date(updatedAt).toLocaleString('en-US', { dateStyle: 'medium', timeStyle: 'short' })}
+      
    
+
+      
    
+        
+          Open Official Google Doc CV →
+        
+      
    
+    
    
+  
    
+    
+
+
diff --git a/src/pages/github.astro b/src/pages/github.astro
new file mode 100644
index 0000000..0f33168
--- /dev/null
+++ b/src/pages/github.astro
@@ -0,0 +1,305 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { githubProfileSummary, monthlyContributions } from '../data/githubStats';
+
+const maxContrib = Math.max(...monthlyContributions.map(m => m.count));
+---
+
+
+  
    
+    
    
+      
    🐙 Open Source Activity
    
+      
    GitHub Profile & Contributions
    
+      
    
+        Summary of 64+ public repositories, open-source projects, AI/ML agents, and continuous contribution history.
+      
    
+
+      
    
+        
    
+          
+          
+            github.com/networkandcode →
+          
+        
    
+        {githubProfileSummary.totalRepos} Public Repositories
+      
    
+    
    
+
+    
+    
    
+      
    
+        
    Contribution Activity Graph (Recent Months)
    
+        
    Consistent commits across Cloud Native, Observability, and Agentic AI projects.
    
+
+        
    
+          {monthlyContributions.map(item => {
+            const heightPercent = Math.round((item.count / maxContrib) * 100);
+            return (
+              
    
+                
    {item.count} commits
    
+                
    
+                  
    
+                
    
+                {item.month.split(' ')[0]}
+              
    
+            );
+          })}
+        
    
+      
    
+    
    
+
+    
+    
    
+      
    
+        
    Language Stack Breakdown
    
+        
    
+          {githubProfileSummary.topLanguages.map(lang => (
+            
    
+              
    
+                {lang.name}
+                {lang.percentage}%
+              
    
+              
    
+                
    
+              
    
+            
    
+          ))}
+        
    
+      
    
+
+      
    
+        
    Repository Categories
    
+        
      
+          {githubProfileSummary.categories.map(cat => (
+            
    • 
+              ▹
+              {cat.name}
+              {cat.count} repos
+            
      • 
+          ))}
+        
    
+      
    
+    
    
+  
    
+    
+
+
diff --git a/src/pages/index.astro b/src/pages/index.astro
new file mode 100644
index 0000000..79f0f2c
--- /dev/null
+++ b/src/pages/index.astro
@@ -0,0 +1,409 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { getCollection } from 'astro:content';
+import cvData from '../data/cv.json';
+import { awardsAndCertificates } from '../data/certificates';
+import { featuredProjects } from '../data/projects';
+
+const posts = await getCollection('blog');
+
+const processedPosts = posts.map((post) => {
+  const pathParts = post.id.split('/');
+  const filename = pathParts[pathParts.length - 1];
+  const dateMatch = filename.match(/^(\d{4}-\d{2}-\d{2})-(.+)$/);
+  
+  let dateStr = '2022-01-01';
+  let cleanTitle = post.data.title || filename.replace(/\.(md|markdown|html)$/, '').replaceAll('-', ' ');
+
+  if (dateMatch) {
+    dateStr = dateMatch[1];
+  } else if (post.data.date) {
+    dateStr = String(post.data.date).slice(0, 10);
+  }
+
+  let category = 'Cloud & DevOps';
+  if (post.id.includes('kubernetes')) category = 'Kubernetes';
+  else if (post.id.includes('aws')) category = 'AWS';
+  else if (post.id.includes('python')) category = 'Python & Automation';
+  else if (post.id.includes('otel')) category = 'Observability';
+
+  return {
+    id: post.id,
+    title: cleanTitle,
+    dateStr,
+    category,
+    slug: post.id.replace(/\.(md|markdown|html)$/, '')
+  };
+}).sort((a, b) => (a.dateStr > b.dateStr ? -1 : 1));
+
+const featuredPosts = processedPosts.slice(0, 6);
+
+const cvHighlights = [
+  "Solution Architect & Lead DevOps Engineer with 10+ years across Cloud Native, AI/ML, Infrastructure & Observability.",
+  "Led development of Generative & Agentic AI solutions (Observability agents, FinOps cost management, Slack integrations).",
+  "Architected OpenTelemetry observability stacks with 200+ assets across AWS, GCP, and Kubernetes ecosystems.",
+  "Led multi-disciplinary teams in DevOps, SRE, Network Automation, and Fullstack Web Application Development."
+];
+
+const techStack = [
+  { category: "Cloud & Infrastructure", items: ["AWS", "Google Cloud (GCP)", "Terraform", "Ansible", "OpenStack"] },
+  { category: "Containers & Orchestration", items: ["Kubernetes (EKS/GKE)", "Docker", "Helm", "Kubeadm", "Kind / MicroK8s"] },
+  { category: "Backend & Systems", items: ["Python", "Go (Golang)", "Next.js / Node.js", "GraphQL / REST APIs", "HarperDB & Neo4j"] },
+  { category: "Networking & Observability", items: ["BGP / OSPF / Cumulus Linux", "OpenTelemetry (OTEL)", "Grafana / InfluxDB", "TCP/IP & Wireshark"] }
+];
+---
+
+
+  
+  
    
+    
    
+      
    👋 Solution Architect & Lead DevOps Engineer
    
+      
    
+        Hi, I'm Shakir Ahmed Ibrahim
+      
    
+      
    
+        Architecting resilient Cloud Infrastructure, Agentic AI Systems, Kubernetes Orchestration, and Observability Pipelines.
+      
    
+      
    
+        View Live CV / Resume →
+        Awards & Recognitions ({awardsAndCertificates.length})
+        Explore Projects
+        Blog Posts ({processedPosts.length})
+      
    
+    
    
+  
    
+
+  
+  
    
+    
    
+      
    
+        
    
+          
    Awards & Recognitions
    
+          
    Parsed from official Google Drive certificate repository ({awardsAndCertificates.length} Total).
    
+        
    
+        View All Awards →
+      
    
+
+      
    
+        {awardsAndCertificates.slice(0, 4).map(cert => (
+          
    
+            
    
+              {cert.category}
+              {cert.awarder}
+            
    
+            
    {cert.title}
    
+            
    📅 {cert.dateStr}
    
+          
    
+        ))}
+      
    
+    
    
+  
    
+
+  
+  
    
+    
    
+      
    
+        
    
+          
    
+            Curriculum Vitae
+            
    Shakir Ahmed Ibrahim's Official CV
    
+            
    Maintained live on Google Docs. Access complete work experience, skills, and projects.
    
+          
    
+          
    
+            
+              Open Google Doc CV →
+            
+          
    
+        
    
+      
    
+    
    
+  
    
+
+  
+  
    
+    
    
+      
    Technical Expertise
    
+      
    
+        {techStack.map(stack => (
+          
    
+            
    {stack.category}
    
+            
    
+              {stack.items.map(item => (
+                {item}
+              ))}
+            
    
+          
    
+        ))}
+      
    
+    
    
+  
    
+
+  
+  
    
+    
    
+      
    
+        
    
+          
    Featured Engineering Projects
    
+          
    Web applications and full-stack projects built by Shakir Ahmed Ibrahim.
    
+        
    
+        View All Projects →
+      
    
+      
    
+        {featuredProjects.map(proj => (
+          
    
+            
    {proj.title}
    
+            
    {proj.description}
    
+            
    
+              {proj.techStack.map(tag => (
+                {tag}
+              ))}
+            
    
+            Read Case Study →
+          
    
+        ))}
+      
    
+    
    
+  
    
+
+  
+  
    
+    
    
+      
    
+        
    
+          
    Technical Writings & Guides
    
+          
    Practical hands-on notes from cloud setup, networking, and system automation.
    
+        
    
+        View All {processedPosts.length} Posts →
+      
    
+
+      
    
+        {featuredPosts.map(post => (
+          
+        ))}
+      
    
+    
    
+  
    
+    
+
+
diff --git a/src/pages/projects.astro b/src/pages/projects.astro
new file mode 100644
index 0000000..4ccc854
--- /dev/null
+++ b/src/pages/projects.astro
@@ -0,0 +1,187 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { featuredProjects } from '../data/projects';
+---
+
+
+  
    
+    
    
+      
    🚀 Built Applications
    
+      
    Featured Projects
    
+      
    
+        Hands-on web applications, accessibility tools, and full-stack projects parsed directly from official credentials.
+      
    
+
+      
    
+        
    
+          
+          BrailleBoard, CricScore, Notes App, School Admin System, and Online Shop.
+        
    
+        {featuredProjects.length} Built Projects
+      
    
+    
    
+
+    
    
+      {featuredProjects.map(proj => (
+        
    
+          
    
+            {proj.name}
+            
    
+              {proj.techStack.map(tech => (
+                {tech}
+              ))}
+            
    
+          
    
+          
    {proj.title}
    
+          
    {proj.description}
    
+          
    
+            
+              Read Technical Case Study →
+            
+            {proj.repoUrl && (
+              
+                Source Code →
+              
+            )}
+          
    
+        
    
+      ))}
+    
    
+  
    
+    
+
+
diff --git a/src/pages/videos.astro b/src/pages/videos.astro
new file mode 100644
index 0000000..3cb78e2
--- /dev/null
+++ b/src/pages/videos.astro
@@ -0,0 +1,189 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { youtubeVideos, YOUTUBE_CHANNEL_URL } from '../data/videos';
+---
+
+
+  
    
+    
    
+      
    ▶ YouTube Channel Tutorials
    
+      
    Video Tutorials & Guides
    
+      
    
+        Hands-on technical video guides covering Agentic AI, Kubernetes internals, OpenTelemetry, and Cloud Native DevOps.
+      
    
+
+      
    
+        
    
+          YouTube Channel:
+          
+            youtube.com/@kubetrain →
+          
+        
    
+        {youtubeVideos.length} Video Tutorials
+      
    
+    
    
+
+    
    
+      {youtubeVideos.map(video => (
+        
+          
    
+            {video.title}
+            
    
+              
+                
+              
+            
    
+          
    
+          
    
+            {video.category}
+            
    {video.title}
    
+            Watch on YouTube →
+          
    
+            
+      ))}
+    
    
+  
    
+    
+
+
diff --git a/src/styles/global.css b/src/styles/global.css
new file mode 100644
index 0000000..fee4d21
--- /dev/null
+++ b/src/styles/global.css
@@ -0,0 +1,90 @@
+:root {
+  /* Slate & Deep Indigo Professional Dark Theme */
+  --bg-primary: #0f172a;       /* Deep Slate Blue */
+  --bg-surface: #1e293b;       /* Elevated Surface Slate */
+  --bg-glass: rgba(30, 41, 59, 0.75);
+  --border-glass: rgba(255, 255, 255, 0.08);
+  
+  --text-main: #f8fafc;        /* High-contrast Slate Light Text */
+  --text-muted: #94a3b8;       /* Soft Muted Subtitles */
+  
+  /* Refined Enterprise Accent Palette */
+  --accent-blue: #38bdf8;      /* Sky Blue Accent */
+  --accent-indigo: #818cf8;    /* Professional Indigo */
+  --accent-teal: #2dd4bf;      /* Clean Teal Accent */
+  
+  --glow-blue: rgba(56, 189, 248, 0.18);
+  --glow-indigo: rgba(129, 140, 248, 0.15);
+  
+  --font-sans: 'Inter', system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+  --font-mono: 'JetBrains Mono', 'Fira Code', monospace;
+}
+
+* {
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0;
+}
+
+html {
+  font-family: var(--font-sans);
+  background-color: var(--bg-primary);
+  color: var(--text-main);
+  scroll-behavior: smooth;
+  line-height: 1.6;
+}
+
+body {
+  min-height: 100vh;
+  display: flex;
+  flex-direction: column;
+  background-image: 
+    radial-gradient(circle at 15% 15%, var(--glow-blue) 0%, transparent 45%),
+    radial-gradient(circle at 85% 85%, var(--glow-indigo) 0%, transparent 45%);
+  background-attachment: fixed;
+}
+
+a {
+  color: var(--accent-blue);
+  text-decoration: none;
+  transition: color 0.2s ease, text-shadow 0.2s ease;
+}
+
+a:hover {
+  color: #7dd3fc;
+  text-shadow: 0 0 12px var(--glow-blue);
+}
+
+.glass-card {
+  background: var(--bg-glass);
+  backdrop-filter: blur(12px);
+  -webkit-backdrop-filter: blur(12px);
+  border: 1px solid var(--border-glass);
+  border-radius: 14px;
+  padding: 1.75rem;
+  transition: transform 0.3s ease, border-color 0.3s ease, box-shadow 0.3s ease;
+}
+
+.glass-card:hover {
+  transform: translateY(-3px);
+  border-color: rgba(56, 189, 248, 0.35);
+  box-shadow: 0 12px 30px -10px rgba(15, 23, 42, 0.8), 0 0 20px var(--glow-blue);
+}
+
+.tag-badge {
+  display: inline-block;
+  padding: 0.25rem 0.75rem;
+  border-radius: 9999px;
+  font-size: 0.8rem;
+  font-weight: 500;
+  background: rgba(56, 189, 248, 0.1);
+  color: var(--accent-blue);
+  border: 1px solid rgba(56, 189, 248, 0.25);
+}
+
+.container {
+  max-width: 1100px;
+  margin: 0 auto;
+  padding: 0 1.5rem;
+  width: 100%;
+}
diff --git a/tsconfig.json b/tsconfig.json
new file mode 100644
index 0000000..8bf91d3
--- /dev/null
+++ b/tsconfig.json
@@ -0,0 +1,5 @@
+{
+  "extends": "astro/tsconfigs/strict",
+  "include": [".astro/types.d.ts", "**/*"],
+  "exclude": ["dist"]
+}

From 780b20ef541178835cbee69cafbb1c5049b2299b Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 18:46:10 +0530
Subject: [PATCH 03/60] docs: resummarize homepage with full domain pillars,
 metrics, projects, certs, awards, videos, and articles

---
 src/pages/index.astro | 603 +++++++++++++++++++++++++++++-------------
 1 file changed, 419 insertions(+), 184 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 79f0f2c..43a4682 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -4,189 +4,271 @@ import { getCollection } from 'astro:content';
 import cvData from '../data/cv.json';
 import { awardsAndCertificates } from '../data/certificates';
 import { featuredProjects } from '../data/projects';
+import { accreditations } from '../data/accreditations';
+import { youtubeVideos } from '../data/videos';
+import { githubProfileSummary } from '../data/githubStats';
 
 const posts = await getCollection('blog');
 
-const processedPosts = posts.map((post) => {
-  const pathParts = post.id.split('/');
-  const filename = pathParts[pathParts.length - 1];
-  const dateMatch = filename.match(/^(\d{4}-\d{2}-\d{2})-(.+)$/);
-  
-  let dateStr = '2022-01-01';
-  let cleanTitle = post.data.title || filename.replace(/\.(md|markdown|html)$/, '').replaceAll('-', ' ');
-
-  if (dateMatch) {
-    dateStr = dateMatch[1];
-  } else if (post.data.date) {
-    dateStr = String(post.data.date).slice(0, 10);
-  }
-
-  let category = 'Cloud & DevOps';
-  if (post.id.includes('kubernetes')) category = 'Kubernetes';
-  else if (post.id.includes('aws')) category = 'AWS';
-  else if (post.id.includes('python')) category = 'Python & Automation';
-  else if (post.id.includes('otel')) category = 'Observability';
-
-  return {
-    id: post.id,
-    title: cleanTitle,
-    dateStr,
-    category,
-    slug: post.id.replace(/\.(md|markdown|html)$/, '')
-  };
-}).sort((a, b) => (a.dateStr > b.dateStr ? -1 : 1));
-
-const featuredPosts = processedPosts.slice(0, 6);
-
-const cvHighlights = [
-  "Solution Architect & Lead DevOps Engineer with 10+ years across Cloud Native, AI/ML, Infrastructure & Observability.",
-  "Led development of Generative & Agentic AI solutions (Observability agents, FinOps cost management, Slack integrations).",
-  "Architected OpenTelemetry observability stacks with 200+ assets across AWS, GCP, and Kubernetes ecosystems.",
-  "Led multi-disciplinary teams in DevOps, SRE, Network Automation, and Fullstack Web Application Development."
+const recentPosts = posts
+  .map((post) => {
+    const filename = post.id.split('/').pop() || '';
+    const dateMatch = filename.match(/^(\d{4}-\d{2}-\d{2})-(.+)$/);
+    let dateStr = '2024-01-01';
+    if (post.data.date) {
+      dateStr = String(post.data.date).slice(0, 10);
+    } else if (dateMatch) {
+      dateStr = dateMatch[1];
+    }
+    return {
+      title: post.data.title || filename.replace(/\.(md|markdown)$/, '').replaceAll('-', ' '),
+      dateStr,
+      slug: post.id.replace(/\.(md|markdown)$/, ''),
+    };
+  })
+  .sort((a, b) => (a.dateStr > b.dateStr ? -1 : 1))
+  .slice(0, 4);
+
+const coreCompetencies = [
+  {
+    title: "Cloud Native & DevOps",
+    icon: "☁️",
+    desc: "Amazon EKS, Google Anthos GKE, Terraform, Ansible, OpenTelemetry, Helm, Argo CD canary deployments."
+  },
+  {
+    title: "Agentic AI & LLMs",
+    icon: "🤖",
+    desc: "Strands Agents, AWS Bedrock KB, Google ADK Gemma 4, CrewAI screening bots, Model Context Protocol (MCP)."
+  },
+  {
+    title: "Observability & Telemetry",
+    icon: "📊",
+    desc: "Grafana Cloud, OpenTelemetry (OTEL) Collector, AWS X-Ray, CloudWatch, Langfuse tracing, New Relic."
+  },
+  {
+    title: "Full-Stack & Graph Databases",
+    icon: "⚡",
+    desc: "Next.js, TypeScript, Appwrite, HarperDB, Neo4j Graph DB, Python FastAPI, GraphQL Apollo."
+  }
 ];
 
-const techStack = [
-  { category: "Cloud & Infrastructure", items: ["AWS", "Google Cloud (GCP)", "Terraform", "Ansible", "OpenStack"] },
-  { category: "Containers & Orchestration", items: ["Kubernetes (EKS/GKE)", "Docker", "Helm", "Kubeadm", "Kind / MicroK8s"] },
-  { category: "Backend & Systems", items: ["Python", "Go (Golang)", "Next.js / Node.js", "GraphQL / REST APIs", "HarperDB & Neo4j"] },
-  { category: "Networking & Observability", items: ["BGP / OSPF / Cumulus Linux", "OpenTelemetry (OTEL)", "Grafana / InfluxDB", "TCP/IP & Wireshark"] }
-];
+const totalPosts = posts.length;
+const totalVideos = youtubeVideos.length;
+const totalCerts = accreditations.length;
+const totalAwards = awardsAndCertificates.length;
+const totalProjects = featuredProjects.length;
 ---
 
-
+
   
   
    
     
    
       
    👋 Solution Architect & Lead DevOps Engineer
    
       
    
-        Hi, I'm Shakir Ahmed Ibrahim
+        Shakir Ahmed Ibrahim
       
    
       
    
         Architecting resilient Cloud Infrastructure, Agentic AI Systems, Kubernetes Orchestration, and Observability Pipelines.
       
    
-      
    
-        View Live CV / Resume →
-        Awards & Recognitions ({awardsAndCertificates.length})
-        Explore Projects
-        Blog Posts ({processedPosts.length})
-      
    
-    
    
-  
    
 
-  
-  
    
-    
    
-      
    
-        
    
-          
    Awards & Recognitions
    
-          
    Parsed from official Google Drive certificate repository ({awardsAndCertificates.length} Total).
    
+      
+      
    
+        
    
+          {githubProfileSummary.totalRepos}+
+          Public Repos
+        
    
+        
    
+        
    
+          {totalPosts}
+          Articles
+        
    
+        
    
+        
    
+          {totalCerts}
+          Certifications
+        
    
+        
    
+        
    
+          {totalAwards}
+          Honors & Awards
+        
    
+        
    
+        
    
+          {totalVideos}
+          Video Tutorials
         
    
-        View All Awards →
       
    
 
-      
    
-        {awardsAndCertificates.slice(0, 4).map(cert => (
-          
    
-            
    
-              {cert.category}
-              {cert.awarder}
-            
    
-            
    {cert.title}
    
-            
    📅 {cert.dateStr}
    
-          
    
-        ))}
+      
    
+        
+          Open Official CV (Google Doc) →
+        
+        Explore Projects
+        Certifications
       
    
     
    
   
    
 
-  
-  
    
+  
+  
    
     
    
-      
    
-        
    
-          
    
-            Curriculum Vitae
-            
    Shakir Ahmed Ibrahim's Official CV
    
-            
    Maintained live on Google Docs. Access complete work experience, skills, and projects.
    
-          
    
-          
    
-            
-              Open Google Doc CV →
-            
-          
    
-        
    
+      
    
+        
    Core Technical Pillars
    
+        
    Specialized domain expertise developed across enterprise cloud engineering and open-source contributions.
    
       
    
-    
    
-  
    
 
-  
-  
    
-    
    
-      
    Technical Expertise
    
-      
    
-        {techStack.map(stack => (
-          
    
-            
    {stack.category}
    
-            
    
-              {stack.items.map(item => (
-                {item}
-              ))}
-            
    
+      
    
+        {coreCompetencies.map(col => (
+          
    
+            
    {col.icon}
    
+            
    {col.title}
    
+            
    {col.desc}
    
           
    
         ))}
       
    
     
    
   
    
 
-  
+  
   
    
     
    
       
    
         
    
-          
    Featured Engineering Projects
    
-          
    Web applications and full-stack projects built by Shakir Ahmed Ibrahim.
    
+          
    Featured Projects
    
+          
    Full-stack applications, accessibility tools, and cloud platforms built by Shakir.
    
         
    
         View All Projects →
       
    
+
       
    
         {featuredProjects.map(proj => (
           
    
+            
    
+              {proj.name}
+            
    
             
    {proj.title}
    
             
    {proj.description}
    
             
    
               {proj.techStack.map(tag => (
-                {tag}
+                {tag}
               ))}
             
    
-            Read Case Study →
+            Read Technical Case Study →
           
    
         ))}
       
    
     
    
   
    
 
-  
-  
    
+  
+  
    
+    
    
+      
    
+        
+        
    
+          
    
+            
    📜 Verified Accreditations
    
+            
    Industry Certifications
    
+            
    Credentialed by Google Cloud, AWS, Grafana, GitHub, Neo4j, and TensorFlow.
    
+            
      
+              {accreditations.slice(0, 5).map(c => (
+                
    • 
+                  • {c.name} ({c.issuer})
+                
      • 
+              ))}
+            
    
+          
    
+          View All 8 Certifications →
+        
    
+
+        
+        
    
+          
    
+            
    🏆 Honors & Awards
    
+            
    Recognitions Vault
    
+            
    21 awards including UST Global Pinnacle Performance & Mphasis Individual Excellence awards.
    
+            
      
+              {awardsAndCertificates.slice(0, 5).map(a => (
+                
    • 
+                  • {a.title} ({a.organization})
+                
      • 
+              ))}
+            
    
+          
    
+          Explore 21 Awards Catalog →
+        
    
+      
    
+    
    
+  
    
+
+  
+  
    
+    
    
+      
    
+        
+        
    
+          
    
+            ▶ YouTube Channel
+            
    @kubetrain Tutorials
    
+            
    30 video tutorials covering Kubernetes, Agentic AI, OpenTelemetry, and Docker.
    
+            
    
+              {youtubeVideos.slice(0, 3).map(v => (
+                
+                  ▶
+                  {v.title}
+                
+              ))}
+            
    
+          
    
+          Watch All 30 Videos →
+        
    
+
+        
+        
    
+          
    
+            🐙 Open Source
+            
    GitHub Contributions
    
+            
    Active contributor across {githubProfileSummary.totalRepos} repositories in TypeScript, Python, and Go.
    
+            
    
+              
    
+                64
+                Public Repos
+              
    
+              
    
+                42%
+                TS / JS
+              
    
+              
    
+                28%
+                Python
+              
    
+            
    
+          
    
+          View GitHub Contribution Graph →
+        
    
+      
    
+    
    
+  
    
+
+  
+  
    
     
    
       
    
         
    
-          
    Technical Writings & Guides
    
-          
    Practical hands-on notes from cloud setup, networking, and system automation.
    
+          
    Latest Articles & Engineering Notes
    
+          
    Technical guides synced live from dev.to/networkandcode.
    
         
    
-        View All {processedPosts.length} Posts →
+        All {totalPosts} Articles →
       
    
 
-      
    
-        {featuredPosts.map(post => (
+      
    
+        {recentPosts.map(post => (
           
         ))}
       
    
@@ -196,13 +278,13 @@ const techStack = [
 
 

From 15c59a4eb907b96d8e0ceb9ac61ec79d4d9cf8f8 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 18:47:09 +0530
Subject: [PATCH 04/60] docs: add 15+ years development experience summary and
 remove designation from hero badge

---
 src/pages/index.astro | 87 ++++++++++++++++++++++++++++++++-----------
 1 file changed, 65 insertions(+), 22 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 43a4682..6458197 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -59,20 +59,25 @@ const totalAwards = awardsAndCertificates.length;
 const totalProjects = featuredProjects.length;
 ---
 
-
+
   
   
    
     
    
-      
    👋 Solution Architect & Lead DevOps Engineer
    
+      
    ⚡ 15+ Years Multi-Domain Development & Systems Engineering
    
       
    
         Shakir Ahmed Ibrahim
       
    
       
    
-        Architecting resilient Cloud Infrastructure, Agentic AI Systems, Kubernetes Orchestration, and Observability Pipelines.
+        Architecting resilient Cloud Infrastructure, Agentic AI Systems, Kubernetes Orchestration, and Enterprise Observability Pipelines.
       
    
 
       
       
    
+        
    
+          15+ Yrs
+          Dev & Infra Exp
+        
    
+        
    
         
    
           {githubProfileSummary.totalRepos}+
           Public Repos
@@ -92,11 +97,6 @@ const totalProjects = featuredProjects.length;
           {totalAwards}
           Honors & Awards
         
    
-        
    
-        
    
-          {totalVideos}
-          Video Tutorials
-        
    
       
    
 
       
    
@@ -109,22 +109,35 @@ const totalProjects = featuredProjects.length;
     
    
   
    
 
-  
-  
    
+  
+  
    
     
    
-      
    
-        
    Core Technical Pillars
    
-        
    Specialized domain expertise developed across enterprise cloud engineering and open-source contributions.
    
-      
    
-
-      
    
-        {coreCompetencies.map(col => (
-          
    
-            
    {col.icon}
    
-            
    {col.title}
    
-            
    {col.desc}
    
+      
    
+        
    💻 Development & Systems Engineering Journey
    
+        
    15+ Years Multi-Disciplinary Experience
    
+        
    
+          Extensive hands-on engineering background spanning DevOps/SRE, Agentic AI & Generative Workflows, Fullstack Web Development, Network Automation, and Technical Team Leadership across global enterprise environments (UST, Mphasis, Juniper Networks, HCL).
+        
    
+        
    
+          
    
+            🤖
+            
    
+              Agentic AI & Microservices: Built conversational AI tools, RAG data analytics agents, Slack Remote MCP Servers, and cost-observability FinOps pipelines with Langfuse and AWS CDK.
+            
    
           
    
-        ))}
+          
    
+            ☸️
+            
    
+              Cloud Native & Kubernetes: Deployed Confluent Kafka on K8s (CFK), Istio TLS pass-through, OpenTelemetry (OTEL) stacks, and 200+ reusable monitoring assets across EKS, GKE, and OpenShift.
+            
    
+          
    
+          
    
+            🚀
+            
    
+              Fullstack Web Apps & Automation: Developed Next.js, Appwrite, and HarperDB applications, Python automation tools, and CI/CD pipelines with Jenkins, Spinnaker, and GitHub Actions.
+            
    
+          
    
+        
    
       
    
     
    
   
    
@@ -626,6 +639,36 @@ const totalProjects = featuredProjects.length;
     font-weight: 600;
   }
 
+  .exp-overview-card {
+    padding: 2.25rem 2rem;
+  }
+
+  .exp-text {
+    font-size: 1.05rem;
+    color: var(--text-muted);
+    line-height: 1.65;
+    margin-bottom: 1.5rem;
+  }
+
+  .exp-bullets {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+  }
+
+  .exp-bullet-item {
+    display: flex;
+    align-items: flex-start;
+    gap: 0.85rem;
+    font-size: 0.95rem;
+    line-height: 1.55;
+    color: var(--text-main);
+  }
+
+  .bullet-icon {
+    font-size: 1.25rem;
+  }
+
   @media (max-width: 768px) {
     .hero-title {
       font-size: 2.5rem;

From 0cc150f16bfe724b9d81be5f1c83699552312c31 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 18:47:29 +0530
Subject: [PATCH 05/60] docs: remove explicit years of experience references
 from homepage

---
 src/pages/index.astro | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 6458197..ac10df7 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -63,7 +63,7 @@ const totalProjects = featuredProjects.length;
   
   
    
     
    
-      
    ⚡ 15+ Years Multi-Domain Development & Systems Engineering
    
+      
    ⚡ Multi-Domain Development & Systems Engineering
    
       
    
         Shakir Ahmed Ibrahim
       
    
@@ -73,11 +73,6 @@ const totalProjects = featuredProjects.length;
 
       
       
    
-        
    
-          15+ Yrs
-          Dev & Infra Exp
-        
    
-        
    
         
    
           {githubProfileSummary.totalRepos}+
           Public Repos
@@ -97,6 +92,11 @@ const totalProjects = featuredProjects.length;
           {totalAwards}
           Honors & Awards
         
    
+        
    
+        
    
+          {totalVideos}
+          Video Tutorials
+        
    
       
    
 
       
    
@@ -114,9 +114,9 @@ const totalProjects = featuredProjects.length;
     
    
       
    
         
    💻 Development & Systems Engineering Journey
    
-        
    15+ Years Multi-Disciplinary Experience
    
+        
    Multi-Disciplinary Engineering Background
    
         
    
-          Extensive hands-on engineering background spanning DevOps/SRE, Agentic AI & Generative Workflows, Fullstack Web Development, Network Automation, and Technical Team Leadership across global enterprise environments (UST, Mphasis, Juniper Networks, HCL).
+          Extensive hands-on engineering experience spanning DevOps/SRE, Agentic AI & Generative Workflows, Fullstack Web Development, Network Automation, and Technical Team Leadership across enterprise cloud environments.
         
    
         
    
           
    

From 5a458d7460ce6d223f8e96b1c08dc21dd351b7d3 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 19:12:04 +0530
Subject: [PATCH 06/60] docs: emphasize hands-on software development and
 building web applications in hero summary

---
 src/pages/index.astro | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index ac10df7..5efa851 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -68,7 +68,7 @@ const totalProjects = featuredProjects.length;
         Shakir Ahmed Ibrahim
       
       
    
-        Architecting resilient Cloud Infrastructure, Agentic AI Systems, Kubernetes Orchestration, and Enterprise Observability Pipelines.
+        Building and developing resilient Web Applications, Agentic AI Systems, Cloud Infrastructure, Kubernetes Automation, and Enterprise Observability Pipelines.
       
    
 
       

From 46717b220363518be5e9d26469f29ed190fbc090 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:00:59 +0530
Subject: [PATCH 07/60] cv

---
 gemma4-try/agent.py                           |  6 +-
 gemma4-try/main.py                            | 21 ++++---
 gemma4-try/runner.py                          |  8 +--
 gemma4-try/tool.py                            |  3 +-
 gemma4-try/vars.py                            |  4 +-
 src/data/cv.json                              |  4 +-
 strands-a2a-demo/strands-a2a-client/main.py   | 11 ++--
 strands-a2a-demo/strands-a2a-server/main.py   |  2 +
 strands-examples/app.py                       | 14 +++--
 strands-examples/k8s_mcp_agent.py             | 30 ++++-----
 strands-examples/k8s_mcp_app.py               |  2 +
 .../strands-langfuse-demo/k8s_mcp_agent.py    | 26 +++-----
 .../strands-langfuse-demo/k8s_mcp_app.py      |  2 +
 .../strands-langfuse-demo/set_telemetry.py    |  2 +-
 .../strands-newrelic-demo/k8s_mcp_agent.py    | 26 +++-----
 .../strands-newrelic-demo/k8s_mcp_app.py      |  2 +
 .../strands-newrelic-demo/set_telemetry.py    |  1 +
 strands-examples/strands_with_gemini.py       | 14 ++---
 strands-examples/tools_example.py             |  8 ++-
 structured-kb-demo/arns.py                    | 20 ++++--
 structured-kb-demo/get_bedrock_kb_id.py       |  8 ++-
 structured-kb-demo/get_redshift_wg_arn.py     |  4 +-
 structured-kb-demo/run_glue_crawler.py        |  6 +-
 structured-kb-demo/setup_bedrock_kb.py        | 63 ++++++++++---------
 .../setup_bedrock_kb_iam_policy.py            | 62 ++++++++----------
 .../setup_bedrock_kb_iam_role.py              | 19 +++---
 .../setup_bedrock_kb_user_on_redshift.py      | 16 +++--
 structured-kb-demo/setup_glue_crawler.py      |  2 +-
 .../setup_glue_crawler_iam_policy.py          | 27 ++++----
 .../setup_glue_crawler_iam_role.py            | 24 +++----
 structured-kb-demo/setup_glue_db.py           |  8 +--
 structured-kb-demo/setup_redshift_iam_role.py | 11 ++--
 .../setup_redshift_workgroup.py               | 12 ++--
 structured-kb-demo/setup_s3_bucket.py         |  5 +-
 .../setup_s3_event_notification.py            | 10 +--
 structured-kb-demo/setup_sqs_queue.py         | 19 ++----
 structured-kb-demo/upload_csv_to_s3.py        |  2 +
 structured-kb-demo/vars.py                    |  5 +-
 38 files changed, 234 insertions(+), 275 deletions(-)

diff --git a/gemma4-try/agent.py b/gemma4-try/agent.py
index 5be104c..186a4aa 100644
--- a/gemma4-try/agent.py
+++ b/gemma4-try/agent.py
@@ -11,8 +11,4 @@
     MODEL,
 )
 
-search_agent = Agent(
-    name=AGENT_NAME,
-    model=MODEL,
-    tools=[fetch_fruits, greet_user]
-)
+search_agent = Agent(name=AGENT_NAME, model=MODEL, tools=[fetch_fruits, greet_user])
diff --git a/gemma4-try/main.py b/gemma4-try/main.py
index ea526f4..e758dc7 100644
--- a/gemma4-try/main.py
+++ b/gemma4-try/main.py
@@ -9,27 +9,28 @@
     SESSION_ID,
     USER_ID,
 )
-    
+
+
 async def main():
     await session_service.create_session(
-        app_name=APP_NAME,
-        user_id=USER_ID,
-        session_id=SESSION_ID
+        app_name=APP_NAME, user_id=USER_ID, session_id=SESSION_ID
     )
-    
+
     while True:
         user_message = input("User: ")
-        content = types.Content(role='user', parts=[types.Part(text=user_message)])
-        
-        async for event in runner.run_async(user_id=USER_ID, session_id=SESSION_ID, new_message=content):
+        content = types.Content(role="user", parts=[types.Part(text=user_message)])
+
+        async for event in runner.run_async(
+            user_id=USER_ID, session_id=SESSION_ID, new_message=content
+        ):
             if event.is_final_response():
                 if event.content and event.content.parts:
                     for part in event.content.parts:
-                        if (not part.thought):
+                        if not part.thought:
                             print(part.text)
             else:
                 print(event)
-                
+
 
 if __name__ == "__main__":
     asyncio.run(main())
diff --git a/gemma4-try/runner.py b/gemma4-try/runner.py
index 043a2ec..9d2e9c8 100644
--- a/gemma4-try/runner.py
+++ b/gemma4-try/runner.py
@@ -3,11 +3,7 @@
 from agent import search_agent
 from session_service import session_service
 from vars import (
-    APP_NAME, 
+    APP_NAME,
 )
 
-runner = Runner(
-    agent=search_agent,
-    app_name=APP_NAME,
-    session_service=session_service
-)
+runner = Runner(agent=search_agent, app_name=APP_NAME, session_service=session_service)
diff --git a/gemma4-try/tool.py b/gemma4-try/tool.py
index 682f452..6324cfd 100644
--- a/gemma4-try/tool.py
+++ b/gemma4-try/tool.py
@@ -1,5 +1,6 @@
 import httpx
 
+
 def fetch_fruits(fruit: str):
     url = f"https://api.example.com/api/fruit/{fruit}"
 
@@ -12,4 +13,4 @@ def fetch_fruits(fruit: str):
 
 
 def greet_user(user: str):
-    return f"Hello {user}"
\ No newline at end of file
+    return f"Hello {user}"
diff --git a/gemma4-try/vars.py b/gemma4-try/vars.py
index 888750e..2fe9d9d 100644
--- a/gemma4-try/vars.py
+++ b/gemma4-try/vars.py
@@ -1,5 +1,5 @@
-AGENT_NAME="test_agent"
+AGENT_NAME = "test_agent"
 APP_NAME = "test_app"
-MODEL="gemma-4-31b-it" # gemma-4-26b-a4b-it is also supported
+MODEL = "gemma-4-31b-it"  # gemma-4-26b-a4b-it is also supported
 SESSION_ID = "test_session"
 USER_ID = "test_user"
diff --git a/src/data/cv.json b/src/data/cv.json
index 14c9732..343224c 100644
--- a/src/data/cv.json
+++ b/src/data/cv.json
@@ -1,5 +1,5 @@
 {
   "url": "https://docs.google.com/document/d/e/2PACX-1vRB5hdZs7dKLFRZonRdw9I_l5JfhQLJ4jMGtwLcaNmM_kEs3f1t_up7WdjieEWC08Q9jVdpfBeoB4K7/pub",
-  "updatedAt": "2026-08-07T13:12:08.356Z",
-  "cleanHtml": "
    cv-shakir
    Updated automatically every 5 minutes
    updated: 7-aug-2026
    \"\"
    Shakir Ahmed Ibrahim
    +91 9600 349 509     networkandcode@gmail.com
    Links: appreciations/awards, blog, dev.to, github, linkedin, youtube
    Techie with experience spanning DevOps/SRE, AI/ML, Fullstack development, Networking and Team leadership. Has experience as a product owner, defining and prioritizing features for UI, APIs and Platform integrations. Led cloud native solutions in automation, CI/CD, data, edge computing, serverless development and observability. Authored technical blogs covering topics in automation, cloud computing, databases, networking, observability, and software development. Designed and developed open source web applications, integrating authentication, UI frameworks, databases, and APIs. Built and deployed solutions across multiple platforms, leveraging modern development and hosting environments.
    Accreditations/Certifications
    Apollo Graph Associate, AWS Community Builder, GitHub Actions, GitHub Advanced Security, Google Cloud Certified Professional Machine Learning Engineer, Grafana Observability Solution Architect, Neo4j Certified Professional, TensorFlow Developer Certificate
    Projects: brailleboard, cricscore, notes, school admin, shop
    Work Experience
    Solution Architect I - Enterprise Solutions | UST, Trivandrum, India | Jun 2019 – Present
    • Led development of AI chatbot with generative and agentic AI capabilities (observability, business insights, web automation, cost analysis with MCP tools and RAG).
    • Designed and developed an AI powered Data Analytics agent with failure handling, retry logic, and improved UX for tool progress messages.
    • Built and deployed a FinOps agent with Langfuse integration for cost observability, including Helm-based deployment and Dockerized packaging on AWS.
    • Diagnosed and resolved production issues in a Slack based conversational agent — fixing memory/context retention and message summarization capabilities.
    • Set up CDK infrastructure for FinOps cloud resources in AWS (Astra account), following IaC best practices.
    • Implemented Slack OAuth MCP for per-user credential management and integrated a Slack Remote MCP Server for seamless MCP framework communication.
    • Refactored integration warning messages for token based connections, improving developer and user experience.
    • Owned end to end development and delivery of the application with microservices, integrated with envoy gateway and OIDC based authentication with keycloak.
    • Was involved in PR reviews and github administration.
    • Involved in establishing GitHub actions based reusable workflows for app and infra code.
    • Led development of observability stacks with 200+ reusable assets; managed Agile projects, mentored teams, and drove knowledge sharing.
    • Lead/Mentor/Support a team of devops engineers
    • Domains worked on: Manufacturing, Retail, Healthcare, Food/Beverage
    • Lead and built along with the team, open telemetry compatible observability solutions with helm charts, dashboards and alerting templates meant to be consumed by clients and within the organization. Bootstrapped deployments for the complete observability stack that has tools such as Grafana, Prometheus, Mimir, Loki, Tempo, Keycloak for Authentication/RBAC etc. on Kubernetes. And GCP based observability solutions involving the GCP native stack such as GCP Monitoring, GCP Logging, GCP Tracing, GCP managed Prometheus
    • Implemented executive and operations hierarchical/drilldown dashboards for AKS, Confluent Kafka, APM, Linux system metrics in Grafana with Elastic as data source, with direct elastic index and prometheus collector index, and alerts with kibana for the same
    • Deployed Confluent kafka on Kubernetes(CFK), integrated it with LDAPS and enabled RBAC. Implemented traffic routing with Istio in TLS pass through mode. Provisioned self signed TLS certificates for each component. Added topics declaratively. Integrated with tibco source and cosmos sink connectors. Installed custom SMTs. Tested the setup with a Spring boot client
    • Supported the setup of CI/CD with Jenkins and Harness for 30+ microservices and their migration from OpenShift to AKS
    • Setup Azure dashboards to monitor metrics received from AKS & App insights logs, with azure cli and arm templates
    • Provided solution for implementing custom alert messages with Azure monitor, Azure communication service and Function app (Python)
    • Provided solution for implementing automated onebox deployments with ArgoCD, Argo workflow, Helm, Jenkins, and Python
    • Worked on a GCP project related to IoT & Serverless
    • Modified existing serverless NodeJS function handlers to support both Azure(existing) and Google cloud run(new)
    • Setup Dockerfiles for deploying cloud run services with express
    • Installed Telegraf with docker compose and configured input(http, opcua, mssql,  socket)  and output(cloud_pubsub, influxdb_v2) plugins
    • Setup simulators with python for ingesting data to telegraf
    • Deploy InfluxDB with Edge data replication (EDR)
    • Wrote code for instantiating neo4j drivers, sessions, and transactions and converted gremlin queries to neo4j cypher in the handlers.
    • Groom the team by taking knowledge sharing sessions on topics such as Neo4j / GraphDB fundamentals, InfluxDB
    • Plan stories on Jira for the team for each sprint
    • Setup Anthos GKE  cluster and deploy workloads with helm
    • Written dataflow job with apache beam in python to ingest data from gcp pub/sub to mongodb
    • Setup GCP cloud workflow with cloud scheduler trigger and parallel steps calling cloud run endpoints
    • Troubleshoot Gitlab CI pipelines that are setup for linting, testing and building serverless functions
    • Taken sprint demos to the customer
    • Track projects’ progress with Jira and run the Kanban/Scrum boards
    • Implemented DevOps environment on Azure with Terraform
    • Setup CI/CD with Jenkins and Spinnaker, Helm , Kubernetes(AKS)
    • Write Istio manifests for gateway, virtual service, and service entry
    • Configuring cloud resources such as application gateway, APIM,  storage account,  sql server, keyvault
    • Involved in change management process initiated via service now
    • Databricks administration activities such as user / secret scope management, cluster creation
    • Setup CI/CD for notebooks and jobs on azure databricks via Jenkins
    • Worked on DevOps tasks assigned through Jira aligned with Platform or Support, centered around the lifecycle of web applications deployed as container workloads
    • Setup CI / CD pipelines using Jenkins / Spinnaker
    • Wrote code in groovy, bash, python for Jenkinsfiles and other scripts
    • Implemented housekeeping tasks for builds and container images
    • Troubleshoot App failures on the AKS cluster
    • Written queries in Kusto and PromQL for scraping metrics via Azure Log Analytics and Prometheus respectively
    • Provisioned Grafana dashboards for visualizing App and cluster metrics, with Azure AD integration, and configured email alerts for certain thresholds
    • Implemented the workflow for automatic secret management of containers in Kubernetes, with pipelines, and via Azure key vault and Twistlock
    • Added functionalities to the pipeline, such as NPM Audit with whitelisted CWEs and CVEs, OWASP dependency check for gradle and maven builds with suppression file
    • Wrote a pipeline stage as code, to do Pass / Fail check for ZAP scan on a target URL based on parameters such as number of warnings and Failures
    • Performed POCs on contract tests with Pact and validation using Pact Broker, UI tests on Zalenium
    • Exposed to platform / tooling ecosystem such as Artifactory, Azure, Helm, Kubernetes, SonarQube
    • Identified unused cloud components in Azure that could be removed and to save cost if applicable
    • Wrote Azure DevOps pipeline to automate start and stop of AKS clusters with cron
    Product Consultant 3, Juniper Networks; Bangalore, India — 4 Feb 2019 — 14 Jun 2019
    • Individual technical contributor, attend project calls with stakeholders, draft LLDs / HLDs, simulate Labs on VMM, assist ISP customers with implementation/support in both testbeds/POCs and Production.
    • Scope of Work involves Design, Validation, Testing, Deployment, Acceptance Testing, Knowledge transfer and Post Installation support
    • Installed AppFormix on standalone, Kubernetes and VMware ESXi platforms
    • Taken knowledge sharing sessions on AppFormix to other peers in the team
    • Installed Contrail HeathBot in a multinode environment, using Docker Swarm
    • Contributed to internal GIT Wiki with content such as installing HealthBot, installing AppFormix and Contrail Networking in an OpenStack environment
    • Worked on JunOS Space/Service Now project and Fixed Incident generation and SFTP access issue, upgraded AI Scripts on SRX
    • Partly involved in jQuery/JavaScript validation for an internal dashboard
    Sr. Principal Infrastructure Engineer, Mphasis Ltd; Chennai, India — 6 Sep 2016 — 18 Jan 2019
    • Lead a team of 10+ members, and responsible for task assignment, activity reports, time tracking, performance review/rating, appreciations & award nominations. 90+ appreciation cards sent to the team members. Delegated value add on tasks such as  Leave/Workload analysis, 4Eye forecast/updates, Training mentor, SOP reviewer, SDM call SPOC, Dashboard preparation, MTP auditing to individuals. The team has contributed with 40+ SOPs, received 50+ client appreciations, 2 promotions and 20+ monthly awards
    • Used Office 365 tools such as SharePoint lists (with formulae validation), OneNote (for shared Knowledge transfer), Power Bi (for visual reports) effectively for organizing the team in all aspects such as achieving goals, timesheets, comp-off / allowance trackers, new member onboarding guidance
    • Provided weekly SDM reports and monthly team dashboards to validate the team’s overall performance
    • Individually contributed by implementing the LAN & WLAN setups of 50+ sites in APJ & EMEA with varying scopes such as new setups, migration, split-up & merger, decommissioning, etc.
    • Project life cycle includes RFC submissions using SDLC manager / HPSM, attending CAB/TAB calls, following ITIL change management processes, project coordination, design validation, device monitoring (HPNA, HP NNM, Airwave, ClearPass) addition/removal/modification tasks
    • Majority of the work involved Re-IP and Redesigning networks including wireless, and WAN migration through the new service provider
    • Network router / switch activities include: HA concepts like VRRP, IRF; monitoring configuration like SNMP/TACACS; routing/switching configuration like OSPF, BFD, Multicast, BGP, STP
    • Wireless activities performed are migrating from MSM to Aruba, setting up the local controller (7200 series) including High Availability, GRE tunneling the local and master controller, dynamic AP provisioning, configuring the access switch ports to untag/tag proper VLANs to the access points, SSID, Other relevant sync up configuration between the master and local controller such as WAP groups, SSIDs, HA groups
    • Partly involved in incident and release management (patch upgrades for procurve, comware and Aruba devices)
    • Developed python-based scripts/tools in both CLI and GUI form using libraries like paramiko, netmiko, tkinter, kivy, to execute recurring day to day tasks such as Configuration preparation templates, Inventory checks for CMDB updates, Bulk DNS/Ping, PAC checks, disabling SNMP based on interface descriptions, Move to production (MTP) audits, remote commands executor, audit hundreds of configuration text files using regular expression pattern search
    • Used multithreading and multiprocessing with python code wherever applicable to fasten execution time
    • Assisted an internal project with 2 major automation tasks: SSH hardening on 3K plus HP Comware devices, and TACACS domain/server migration for approx. 5K HP Comware / Cisco IOS devices
    • Contributed to the Employee Development Program by conducting Knowledge sharing sessions on topics like Python for network automation, Linux for networking, NETCONF and OpenStack administration, webinar on Networking in the Cloud
    • Had contributed with 20+ SOPs on topics such as OS upgrades, Wireless ReIP
    • Assisted the TalentNext team with drafting the upskilling requirements for the SDN practice
    • Involved in auditing / assessing the network infrastructure for various accounts under the practice, w.r.t configuration, architecture, device support, capacity/uptime, Next Gen readiness
    • Coordinated with external and internal stakeholders vendors to carry out Proof of concepts on technologies like SD-WAN, spinning topologies on the AWS cloud, and for testing functionalities such as QoS, NGFW
    Sr. Analyst, HCL Technologies; Chennai, India — 23 Mar 2015 — 12 Aug 2016
    Sr. N/W Engineer, BRT India (on contract with HCL); 20May2013—18Mar2015
    • Was part of the Global IT Networks Business Onboarding team, role: Network design, implementation and project coordination. Worked for project types such as expansion, redesign, migration, new setup etc.
    • Designed end-to-end networks, prepared RFP, HLD, LLD using Visio, BOM for LAN/WLAN/WAN inventory and links, raised change/incident requests, and coordinated with various stakeholders and vendors, until successful implementation & UAT
    • Implemented Microsoft Azure Express route setups, IPSEC (Client-to-Site / Site-to-Site) / MPLS L3 VPNs, shared/dedicated LANs, and thin client/zero client/VDI based connectivity
    • Submitted LLDs with firm quotes to give a more clearer picture to the Business on the costs involved, solution benefits, and timelines involved, dependencies from the business on certain factors such as local on-site or offshore infra readiness before link deployment, demark agreements, legal formalities with merging the MPLS VRF of two different service providers or between two different entities (example India and UK) of the same provider
    • Regular meetings held to update the link/hardware delivery/implementation progress
    • Installed and configured new devices that include Cisco IOS or Juniper JunOS EX/MX, configured protocols such as OSPF, BGP
    • ITIL change management process is followed for all backbone/operational changes such as adding a new VLAN / VRF for the new customer, assigning BW to the customer VRF, capacity management to cater BW forecasts, adding IP VPN routes for the customer destinations towards the shared internet gateway, and coordination is done with respective stakeholders and the required configuration is shared with them in predefined templates
    • Prepared an end to end document and handover liability to global NOC after successful implementation and UAT
    • Reviewed projects handled by the team reported highlights/challenges to the management every week
    Sr. Consultant, Sutherland Global Services, Cochin, India — 27 Feb 2012 — 22 Sep 2012
    • Remote support over phone and chat, for Networking devices/links, Desktops, Printers, gadgets, applications such as Microsoft outlook, and fixing virus/malware infections.
    • The SLA was for each case had more time (more than an hour in average), as this was 3rd level of support and is a paid subscription which isn’t associated with any product
    • Issues could be complex and there were 3 ways to assist the customer according to the need – phone, chat or remote desktop
    • Occasionally assisted with fixing CCTV remote access issues where the router’s port forwarding had to be configured properly
    Sr. Support Engineer, CSS Corp, Chennai; 21 Mar 2011 — 16 Feb 2012
    • Technical assistance over Phone, for new VOIP gateway installations, fixing audio errors & call completion issues, modems/routers, fax setup, and refreshing lines on VOIP adapters.
    • Worked for the technical support team, had to attend incoming calls and resolve customer’s issues
    • Assisted with both technical and billing issues
    • The calls had to be closed within the predefined Average SLA (approx. 15 to 20 min) and 100% CSATs are to be met
    • Handled calls from US and Canada regions
    Sr. Project Engineer, Gecom, Bahrain; 11 Jan 2010 — 11 Jan 2011
    • Site survey, installation, commissioning, documentation, maintenance and support for networking devices such as modems/routers/wireless APs/switches, PABX/PBX, CCTVs/DVRs, biometric infra, Clipsal c-bus Intelligent lighting automation, security/alarm systems. Assisted with remote CCTV access using DYNDNS configuration.
    • The work is 100% on site, except for time entry and certain meetings in the office
    • Projects are segregated team wise, with each team handling its own set of projects, Worked for two different teams under different supervisors during this job, involved as a team and executed all the activities of a project from scratch, for instance a lighting project gave exposure from the initial phase of wiring (using cat5/6 for both electricity and network) until implementing the lighting scenarios including brightness levels based on switch/touch panel events that are orchestrated using the software provided by Clipsal
    • Was involved in setting up the CCTV & Security Panel systems at ATMs and various Bank premises, that was all part of one big project as a whole
    • Lighting implementations handled for few ministry projects and occasionally involved in the maintenance of the previously implemented lighting automation at the World Trade Center
    • Performed various other related work for Hotels, Villas (individual or a group owned by a single entity), Shops in Malls, etc.
    • Had deployed BOSE sound systems on few occasions, once for a private house party DJ setup
    Education
    • BITS Pilani work integrated learning programmes, M.Tech.(CSI), CGPA 8.17, 2020
    • Crescent Engineering College, Bachelor of Engineering in E.C.E, 62%, 2008
    Addons
    • Was involved in setting up curriculum and evaluation criteria in DevOps and AI for freshers
    • Was involved in showcasing agentic AI product at booths in UST events
    • Part of the UST ignite / colors community, gave computer science training for school students on programs such as Microsoft word, excel, power point
    • Part of the Generative AI initiative in UST, took trainings with in the organization
    • Winner of the secure code warrior competition organized by UST
    • Acknowledged by colleagues with positive feedback
    • Received the CISS Champion Badge
    • Recipient of Google India challenge scholarship 2018
    • Participated in the Juniper haiku learning bytes challenge 
    • Submitted network designs in the Juniper Idea2Design challenge 2015
    • Solved challenges in tournaments 3 and 4 of JunOS cup 2014
    • Past Freelancing Experience: Teaching, Web Development
    • Involved in part time tutoring – private, online and classroom based 
    • Secured seat in college through merit with entrance cut-off 280+/300
    • Volunteered for electoral activities through NSS
    • Participated in Computer science events and won awards during school
    • Represented super senior level school cricket team
    Course completions
    API penetration testing, Confluent fundamentals for Apache Kafka, Data collection with Telegraf, Servant Leadership (SLAM)
    Languages
    Read, Write & Speak: Tamil(Mother Tongue), Telugu, Hindi, English. Read & Write: Arabic. Speak: Malayalam.
    "
+  "updatedAt": "2026-08-07T17:30:39.417Z",
+  "cleanHtml": "
    cv-shakir
    Updated automatically every 5 minutes
    updated: 7-aug-2026
    \"\"
    Shakir Ahmed Ibrahim
    +91 9600 349 509     networkandcode@gmail.com
    Links: appreciations/awards, blog, dev.to, github, linkedin, youtube
    Techie with experience spanning DevOps/SRE, AI/ML, Fullstack development, Networking and Team leadership. Has experience as a product owner, defining and prioritizing features for UI, APIs and Platform integrations. Led cloud native solutions in automation, CI/CD, data, edge computing, serverless development and observability. Authored technical blogs covering topics in automation, cloud computing, databases, networking, observability, and software development. Designed and developed open source web applications, integrating authentication, UI frameworks, databases, and APIs. Built and deployed solutions across multiple platforms, leveraging modern development and hosting environments.
    Accreditations/Certifications
    Apollo Graph Associate, AWS Community Builder, GitHub Actions, GitHub Advanced Security, Google Cloud Certified Professional Machine Learning Engineer, Grafana Observability Solution Architect, Neo4j Certified Professional, TensorFlow Developer Certificate
    Projects: brailleboard, cricscore, notes, school admin, shop
    Work Experience
    Solution Architect I - Enterprise Solutions | UST, Trivandrum, India | Jun 2019 – Present
    • Led development of AI chatbot with generative and agentic AI capabilities (observability, business insights, web automation, cost analysis with MCP tools and RAG).
    • Designed and developed an AI powered Data Analytics agent with failure handling, retry logic, and improved UX for tool progress messages.
    • Built and deployed a FinOps agent with Langfuse integration for cost observability, including Helm-based deployment and Dockerized packaging on AWS.
    • Diagnosed and resolved production issues in a Slack based conversational agent — fixing memory/context retention and message summarization capabilities.
    • Set up CDK infrastructure for FinOps cloud resources in AWS (Astra account), following IaC best practices.
    • Implemented Slack OAuth MCP for per-user credential management and integrated a Slack Remote MCP Server for seamless MCP framework communication.
    • Refactored integration warning messages for token based connections, improving developer and user experience.
    • Owned end to end development and delivery of the application with microservices, integrated with envoy gateway and OIDC based authentication with keycloak.
    • Was involved in PR reviews and github administration.
    • Involved in establishing GitHub actions based reusable workflows for app and infra code.
    • Led development of observability stacks with 200+ reusable assets; managed Agile projects, mentored teams, and drove knowledge sharing.
    • Lead/Mentor/Support a team of devops engineers
    • Domains worked on: Manufacturing, Retail, Healthcare, Food/Beverage
    • Lead and built along with the team, open telemetry compatible observability solutions with helm charts, dashboards and alerting templates meant to be consumed by clients and within the organization. Bootstrapped deployments for the complete observability stack that has tools such as Grafana, Prometheus, Mimir, Loki, Tempo, Keycloak for Authentication/RBAC etc. on Kubernetes. And GCP based observability solutions involving the GCP native stack such as GCP Monitoring, GCP Logging, GCP Tracing, GCP managed Prometheus
    • Implemented executive and operations hierarchical/drilldown dashboards for AKS, Confluent Kafka, APM, Linux system metrics in Grafana with Elastic as data source, with direct elastic index and prometheus collector index, and alerts with kibana for the same
    • Deployed Confluent kafka on Kubernetes(CFK), integrated it with LDAPS and enabled RBAC. Implemented traffic routing with Istio in TLS pass through mode. Provisioned self signed TLS certificates for each component. Added topics declaratively. Integrated with tibco source and cosmos sink connectors. Installed custom SMTs. Tested the setup with a Spring boot client
    • Supported the setup of CI/CD with Jenkins and Harness for 30+ microservices and their migration from OpenShift to AKS
    • Setup Azure dashboards to monitor metrics received from AKS & App insights logs, with azure cli and arm templates
    • Provided solution for implementing custom alert messages with Azure monitor, Azure communication service and Function app (Python)
    • Provided solution for implementing automated onebox deployments with ArgoCD, Argo workflow, Helm, Jenkins, and Python
    • Worked on a GCP project related to IoT & Serverless
    • Modified existing serverless NodeJS function handlers to support both Azure(existing) and Google cloud run(new)
    • Setup Dockerfiles for deploying cloud run services with express
    • Installed Telegraf with docker compose and configured input(http, opcua, mssql,  socket)  and output(cloud_pubsub, influxdb_v2) plugins
    • Setup simulators with python for ingesting data to telegraf
    • Deploy InfluxDB with Edge data replication (EDR)
    • Wrote code for instantiating neo4j drivers, sessions, and transactions and converted gremlin queries to neo4j cypher in the handlers.
    • Groom the team by taking knowledge sharing sessions on topics such as Neo4j / GraphDB fundamentals, InfluxDB
    • Plan stories on Jira for the team for each sprint
    • Setup Anthos GKE  cluster and deploy workloads with helm
    • Written dataflow job with apache beam in python to ingest data from gcp pub/sub to mongodb
    • Setup GCP cloud workflow with cloud scheduler trigger and parallel steps calling cloud run endpoints
    • Troubleshoot Gitlab CI pipelines that are setup for linting, testing and building serverless functions
    • Taken sprint demos to the customer
    • Track projects’ progress with Jira and run the Kanban/Scrum boards
    • Implemented DevOps environment on Azure with Terraform
    • Setup CI/CD with Jenkins and Spinnaker, Helm , Kubernetes(AKS)
    • Write Istio manifests for gateway, virtual service, and service entry
    • Configuring cloud resources such as application gateway, APIM,  storage account,  sql server, keyvault
    • Involved in change management process initiated via service now
    • Databricks administration activities such as user / secret scope management, cluster creation
    • Setup CI/CD for notebooks and jobs on azure databricks via Jenkins
    • Worked on DevOps tasks assigned through Jira aligned with Platform or Support, centered around the lifecycle of web applications deployed as container workloads
    • Setup CI / CD pipelines using Jenkins / Spinnaker
    • Wrote code in groovy, bash, python for Jenkinsfiles and other scripts
    • Implemented housekeeping tasks for builds and container images
    • Troubleshoot App failures on the AKS cluster
    • Written queries in Kusto and PromQL for scraping metrics via Azure Log Analytics and Prometheus respectively
    • Provisioned Grafana dashboards for visualizing App and cluster metrics, with Azure AD integration, and configured email alerts for certain thresholds
    • Implemented the workflow for automatic secret management of containers in Kubernetes, with pipelines, and via Azure key vault and Twistlock
    • Added functionalities to the pipeline, such as NPM Audit with whitelisted CWEs and CVEs, OWASP dependency check for gradle and maven builds with suppression file
    • Wrote a pipeline stage as code, to do Pass / Fail check for ZAP scan on a target URL based on parameters such as number of warnings and Failures
    • Performed POCs on contract tests with Pact and validation using Pact Broker, UI tests on Zalenium
    • Exposed to platform / tooling ecosystem such as Artifactory, Azure, Helm, Kubernetes, SonarQube
    • Identified unused cloud components in Azure that could be removed and to save cost if applicable
    • Wrote Azure DevOps pipeline to automate start and stop of AKS clusters with cron
    Product Consultant 3, Juniper Networks; Bangalore, India — 4 Feb 2019 — 14 Jun 2019
    • Individual technical contributor, attend project calls with stakeholders, draft LLDs / HLDs, simulate Labs on VMM, assist ISP customers with implementation/support in both testbeds/POCs and Production.
    • Scope of Work involves Design, Validation, Testing, Deployment, Acceptance Testing, Knowledge transfer and Post Installation support
    • Installed AppFormix on standalone, Kubernetes and VMware ESXi platforms
    • Taken knowledge sharing sessions on AppFormix to other peers in the team
    • Installed Contrail HeathBot in a multinode environment, using Docker Swarm
    • Contributed to internal GIT Wiki with content such as installing HealthBot, installing AppFormix and Contrail Networking in an OpenStack environment
    • Worked on JunOS Space/Service Now project and Fixed Incident generation and SFTP access issue, upgraded AI Scripts on SRX
    • Partly involved in jQuery/JavaScript validation for an internal dashboard
    Sr. Principal Infrastructure Engineer, Mphasis Ltd; Chennai, India — 6 Sep 2016 — 18 Jan 2019
    • Lead a team of 10+ members, and responsible for task assignment, activity reports, time tracking, performance review/rating, appreciations & award nominations. 90+ appreciation cards sent to the team members. Delegated value add on tasks such as  Leave/Workload analysis, 4Eye forecast/updates, Training mentor, SOP reviewer, SDM call SPOC, Dashboard preparation, MTP auditing to individuals. The team has contributed with 40+ SOPs, received 50+ client appreciations, 2 promotions and 20+ monthly awards
    • Used Office 365 tools such as SharePoint lists (with formulae validation), OneNote (for shared Knowledge transfer), Power Bi (for visual reports) effectively for organizing the team in all aspects such as achieving goals, timesheets, comp-off / allowance trackers, new member onboarding guidance
    • Provided weekly SDM reports and monthly team dashboards to validate the team’s overall performance
    • Individually contributed by implementing the LAN & WLAN setups of 50+ sites in APJ & EMEA with varying scopes such as new setups, migration, split-up & merger, decommissioning, etc.
    • Project life cycle includes RFC submissions using SDLC manager / HPSM, attending CAB/TAB calls, following ITIL change management processes, project coordination, design validation, device monitoring (HPNA, HP NNM, Airwave, ClearPass) addition/removal/modification tasks
    • Majority of the work involved Re-IP and Redesigning networks including wireless, and WAN migration through the new service provider
    • Network router / switch activities include: HA concepts like VRRP, IRF; monitoring configuration like SNMP/TACACS; routing/switching configuration like OSPF, BFD, Multicast, BGP, STP
    • Wireless activities performed are migrating from MSM to Aruba, setting up the local controller (7200 series) including High Availability, GRE tunneling the local and master controller, dynamic AP provisioning, configuring the access switch ports to untag/tag proper VLANs to the access points, SSID, Other relevant sync up configuration between the master and local controller such as WAP groups, SSIDs, HA groups
    • Partly involved in incident and release management (patch upgrades for procurve, comware and Aruba devices)
    • Developed python-based scripts/tools in both CLI and GUI form using libraries like paramiko, netmiko, tkinter, kivy, to execute recurring day to day tasks such as Configuration preparation templates, Inventory checks for CMDB updates, Bulk DNS/Ping, PAC checks, disabling SNMP based on interface descriptions, Move to production (MTP) audits, remote commands executor, audit hundreds of configuration text files using regular expression pattern search
    • Used multithreading and multiprocessing with python code wherever applicable to fasten execution time
    • Assisted an internal project with 2 major automation tasks: SSH hardening on 3K plus HP Comware devices, and TACACS domain/server migration for approx. 5K HP Comware / Cisco IOS devices
    • Contributed to the Employee Development Program by conducting Knowledge sharing sessions on topics like Python for network automation, Linux for networking, NETCONF and OpenStack administration, webinar on Networking in the Cloud
    • Had contributed with 20+ SOPs on topics such as OS upgrades, Wireless ReIP
    • Assisted the TalentNext team with drafting the upskilling requirements for the SDN practice
    • Involved in auditing / assessing the network infrastructure for various accounts under the practice, w.r.t configuration, architecture, device support, capacity/uptime, Next Gen readiness
    • Coordinated with external and internal stakeholders vendors to carry out Proof of concepts on technologies like SD-WAN, spinning topologies on the AWS cloud, and for testing functionalities such as QoS, NGFW
    Sr. Analyst, HCL Technologies; Chennai, India — 23 Mar 2015 — 12 Aug 2016
    Sr. N/W Engineer, BRT India (on contract with HCL); 20May2013—18Mar2015
    • Was part of the Global IT Networks Business Onboarding team, role: Network design, implementation and project coordination. Worked for project types such as expansion, redesign, migration, new setup etc.
    • Designed end-to-end networks, prepared RFP, HLD, LLD using Visio, BOM for LAN/WLAN/WAN inventory and links, raised change/incident requests, and coordinated with various stakeholders and vendors, until successful implementation & UAT
    • Implemented Microsoft Azure Express route setups, IPSEC (Client-to-Site / Site-to-Site) / MPLS L3 VPNs, shared/dedicated LANs, and thin client/zero client/VDI based connectivity
    • Submitted LLDs with firm quotes to give a more clearer picture to the Business on the costs involved, solution benefits, and timelines involved, dependencies from the business on certain factors such as local on-site or offshore infra readiness before link deployment, demark agreements, legal formalities with merging the MPLS VRF of two different service providers or between two different entities (example India and UK) of the same provider
    • Regular meetings held to update the link/hardware delivery/implementation progress
    • Installed and configured new devices that include Cisco IOS or Juniper JunOS EX/MX, configured protocols such as OSPF, BGP
    • ITIL change management process is followed for all backbone/operational changes such as adding a new VLAN / VRF for the new customer, assigning BW to the customer VRF, capacity management to cater BW forecasts, adding IP VPN routes for the customer destinations towards the shared internet gateway, and coordination is done with respective stakeholders and the required configuration is shared with them in predefined templates
    • Prepared an end to end document and handover liability to global NOC after successful implementation and UAT
    • Reviewed projects handled by the team reported highlights/challenges to the management every week
    Sr. Consultant, Sutherland Global Services, Cochin, India — 27 Feb 2012 — 22 Sep 2012
    • Remote support over phone and chat, for Networking devices/links, Desktops, Printers, gadgets, applications such as Microsoft outlook, and fixing virus/malware infections.
    • The SLA was for each case had more time (more than an hour in average), as this was 3rd level of support and is a paid subscription which isn’t associated with any product
    • Issues could be complex and there were 3 ways to assist the customer according to the need – phone, chat or remote desktop
    • Occasionally assisted with fixing CCTV remote access issues where the router’s port forwarding had to be configured properly
    Sr. Support Engineer, CSS Corp, Chennai; 21 Mar 2011 — 16 Feb 2012
    • Technical assistance over Phone, for new VOIP gateway installations, fixing audio errors & call completion issues, modems/routers, fax setup, and refreshing lines on VOIP adapters.
    • Worked for the technical support team, had to attend incoming calls and resolve customer’s issues
    • Assisted with both technical and billing issues
    • The calls had to be closed within the predefined Average SLA (approx. 15 to 20 min) and 100% CSATs are to be met
    • Handled calls from US and Canada regions
    Sr. Project Engineer, Gecom, Bahrain; 11 Jan 2010 — 11 Jan 2011
    • Site survey, installation, commissioning, documentation, maintenance and support for networking devices such as modems/routers/wireless APs/switches, PABX/PBX, CCTVs/DVRs, biometric infra, Clipsal c-bus Intelligent lighting automation, security/alarm systems. Assisted with remote CCTV access using DYNDNS configuration.
    • The work is 100% on site, except for time entry and certain meetings in the office
    • Projects are segregated team wise, with each team handling its own set of projects, Worked for two different teams under different supervisors during this job, involved as a team and executed all the activities of a project from scratch, for instance a lighting project gave exposure from the initial phase of wiring (using cat5/6 for both electricity and network) until implementing the lighting scenarios including brightness levels based on switch/touch panel events that are orchestrated using the software provided by Clipsal
    • Was involved in setting up the CCTV & Security Panel systems at ATMs and various Bank premises, that was all part of one big project as a whole
    • Lighting implementations handled for few ministry projects and occasionally involved in the maintenance of the previously implemented lighting automation at the World Trade Center
    • Performed various other related work for Hotels, Villas (individual or a group owned by a single entity), Shops in Malls, etc.
    • Had deployed BOSE sound systems on few occasions, once for a private house party DJ setup
    Education
    • BITS Pilani work integrated learning programmes, M.Tech.(CSI), CGPA 8.17, 2020
    • Crescent Engineering College, Bachelor of Engineering in E.C.E, 62%, 2008
    Addons
    • Was involved in setting up curriculum and evaluation criteria in DevOps and AI for freshers
    • Was involved in showcasing agentic AI product at booths in UST events
    • Part of the UST ignite / colors community, gave computer science training for school students on programs such as Microsoft word, excel, power point
    • Part of the Generative AI initiative in UST, took trainings with in the organization
    • Winner of the secure code warrior competition organized by UST
    • Acknowledged by colleagues with positive feedback
    • Received the CISS Champion Badge
    • Recipient of Google India challenge scholarship 2018
    • Participated in the Juniper haiku learning bytes challenge 
    • Submitted network designs in the Juniper Idea2Design challenge 2015
    • Solved challenges in tournaments 3 and 4 of JunOS cup 2014
    • Past Freelancing Experience: Teaching, Web Development
    • Involved in part time tutoring – private, online and classroom based 
    • Secured seat in college through merit with entrance cut-off 280+/300
    • Volunteered for electoral activities through NSS
    • Participated in Computer science events and won awards during school
    • Represented super senior level school cricket team
    Course completions
    API penetration testing, Confluent fundamentals for Apache Kafka, Data collection with Telegraf, Servant Leadership (SLAM)
    Languages
    Read, Write & Speak: Tamil(Mother Tongue), Telugu, Hindi, English. Read & Write: Arabic. Speak: Malayalam.
    "
 }
\ No newline at end of file
diff --git a/strands-a2a-demo/strands-a2a-client/main.py b/strands-a2a-demo/strands-a2a-client/main.py
index 060ab18..bf653f6 100644
--- a/strands-a2a-demo/strands-a2a-client/main.py
+++ b/strands-a2a-demo/strands-a2a-client/main.py
@@ -2,24 +2,25 @@
 
 from strands.agent.a2a_agent import A2AAgent
 
+
 async def main():
     agent = A2AAgent(endpoint="http://localhost:9000")
     agent_card = await agent.get_agent_card()
-    
+
     print("Invoking remote agent with agent card:")
     for key, value in agent_card:
         print(key, ":", value)
-    print('-' * 20)
-    
+    print("-" * 20)
+
     while True:
         prompt = input("User: ")
         if prompt.lower() == "exit":
             break
-            
+
         async for event in agent.stream_async(prompt):
             if "result" in event:
                 print("AI: ", event["result"], end="", flush=True)
 
-            
+
 if __name__ == "__main__":
     asyncio.run(main())
diff --git a/strands-a2a-demo/strands-a2a-server/main.py b/strands-a2a-demo/strands-a2a-server/main.py
index 5f9f87c..f5207a1 100644
--- a/strands-a2a-demo/strands-a2a-server/main.py
+++ b/strands-a2a-demo/strands-a2a-server/main.py
@@ -5,6 +5,7 @@
 
 load_dotenv()
 
+
 def main():
     agent = Agent(
         callback_handler=None,
@@ -16,5 +17,6 @@ def main():
     a2a_server = A2AServer(agent=agent)
     a2a_server.serve()
 
+
 if __name__ == "__main__":
     main()
diff --git a/strands-examples/app.py b/strands-examples/app.py
index 3b1a9cf..da199b7 100644
--- a/strands-examples/app.py
+++ b/strands-examples/app.py
@@ -7,6 +7,7 @@
 
 load_dotenv()
 
+
 async def main():
 
     agent = Agent(
@@ -16,10 +17,10 @@ async def main():
 
     st.title("Strands App")
 
-    if 'messages' not in st.session_state:
-        st.session_state['messages'] = []
+    if "messages" not in st.session_state:
+        st.session_state["messages"] = []
 
-    for message in st.session_state['messages']:
+    for message in st.session_state["messages"]:
         role = message["role"]
         content = message["content"]
 
@@ -42,8 +43,8 @@ async def main():
             stream = agent.stream_async(prompt)
             placeholder = st.empty()
             async for chunk in stream:
-                if 'data' in chunk:
-                    result += chunk['data']
+                if "data" in chunk:
+                    result += chunk["data"]
                     placeholder.markdown(result)
                     time.sleep(0.05)
 
@@ -53,6 +54,7 @@ async def main():
                     "content": result,
                 }
             )
-        st.session_state['messages'] += messages
+        st.session_state["messages"] += messages
+
 
 asyncio.run(main())
diff --git a/strands-examples/k8s_mcp_agent.py b/strands-examples/k8s_mcp_agent.py
index 1a74f4d..2dff340 100644
--- a/strands-examples/k8s_mcp_agent.py
+++ b/strands-examples/k8s_mcp_agent.py
@@ -6,16 +6,18 @@
 from strands.tools.mcp import MCPClient
 import streamlit as st
 
+
 def remove_html_tags(text_with_html):
     text_with_out_html = re.sub(r"<[^>]+>", "", text_with_html)
     return text_with_out_html
 
+
 async def stream_result(stream):
     result = ""
     placeholder = st.empty()
     async for chunk in stream:
-        if 'data' in chunk:
-            result += chunk['data']
+        if "data" in chunk:
+            result += chunk["data"]
             result = remove_html_tags(result)
             placeholder.write(result)
 
@@ -26,20 +28,13 @@ def __init__(self):
 
         server_params = {
             "command": "npx",
-            "args": [
-                "-y",
-                "kubernetes-mcp-server@latest"
-            ],
-            "env": {
-                "KUBECONFIG": "k3s.yaml"
-            }
+            "args": ["-y", "kubernetes-mcp-server@latest"],
+            "env": {"KUBECONFIG": "k3s.yaml"},
         }
-        
-        self.stdio_mcp_client = MCPClient(lambda: stdio_client(
-            StdioServerParameters(
-                **server_params
-            )
-        ))
+
+        self.stdio_mcp_client = MCPClient(
+            lambda: stdio_client(StdioServerParameters(**server_params))
+        )
 
         with self.stdio_mcp_client:
             # Get the tools from the MCP server
@@ -47,12 +42,9 @@ def __init__(self):
 
             # Create an agent with these tools
             self.agent = Agent(
-                callback_handler=None,
-                model="us.amazon.nova-micro-v1:0",
-                tools=tools
+                callback_handler=None, model="us.amazon.nova-micro-v1:0", tools=tools
             )
 
-    
     async def send_prompt(self, prompt):
         with self.stdio_mcp_client:
             stream = self.agent.stream_async(prompt)
diff --git a/strands-examples/k8s_mcp_app.py b/strands-examples/k8s_mcp_app.py
index 95dc19d..f5d2b96 100644
--- a/strands-examples/k8s_mcp_app.py
+++ b/strands-examples/k8s_mcp_app.py
@@ -2,6 +2,7 @@
 import streamlit as st
 from k8s_mcp_agent import kubernetes_mcp_agent
 
+
 async def main():
     st.title("Kubernetes MCP App")
 
@@ -11,4 +12,5 @@ async def main():
         with st.chat_message("assistant"):
             await kubernetes_mcp_agent.send_prompt(prompt)
 
+
 asyncio.run(main())
diff --git a/strands-examples/strands-langfuse-demo/k8s_mcp_agent.py b/strands-examples/strands-langfuse-demo/k8s_mcp_agent.py
index 072c799..b6255b9 100644
--- a/strands-examples/strands-langfuse-demo/k8s_mcp_agent.py
+++ b/strands-examples/strands-langfuse-demo/k8s_mcp_agent.py
@@ -10,16 +10,18 @@
 
 from model import model
 
+
 def remove_html_tags(text_with_html):
     text_with_out_html = re.sub(r"<[^>]+>", "", text_with_html)
     return text_with_out_html
 
+
 async def stream_result(stream):
     result = ""
     placeholder = st.empty()
     async for chunk in stream:
-        if 'data' in chunk:
-            result += chunk['data']
+        if "data" in chunk:
+            result += chunk["data"]
             result = remove_html_tags(result)
             placeholder.write(result)
 
@@ -29,20 +31,13 @@ def __init__(self):
         set_telemetry()
         server_params = {
             "command": "npx",
-            "args": [
-                "-y",
-                "kubernetes-mcp-server@latest"
-            ],
-            "env": {
-                "KUBECONFIG": "k3s.yaml"
-            }
+            "args": ["-y", "kubernetes-mcp-server@latest"],
+            "env": {"KUBECONFIG": "k3s.yaml"},
         }
-        
-        self.stdio_mcp_client = MCPClient(lambda: stdio_client(
-            StdioServerParameters(
-                **server_params
-            )
-        ))
+
+        self.stdio_mcp_client = MCPClient(
+            lambda: stdio_client(StdioServerParameters(**server_params))
+        )
 
         with self.stdio_mcp_client:
             # Get the tools from the MCP server
@@ -58,7 +53,6 @@ def __init__(self):
                 },
             )
 
-    
     async def send_prompt(self, prompt):
         with self.stdio_mcp_client:
             stream = self.agent.stream_async(prompt)
diff --git a/strands-examples/strands-langfuse-demo/k8s_mcp_app.py b/strands-examples/strands-langfuse-demo/k8s_mcp_app.py
index 0e13745..57d2ae1 100644
--- a/strands-examples/strands-langfuse-demo/k8s_mcp_app.py
+++ b/strands-examples/strands-langfuse-demo/k8s_mcp_app.py
@@ -4,6 +4,7 @@
 
 from k8s_mcp_agent import kubernetes_mcp_agent
 
+
 async def main():
     st.title("Kubernetes MCP App")
 
@@ -13,4 +14,5 @@ async def main():
         with st.chat_message("assistant"):
             await kubernetes_mcp_agent.send_prompt(prompt)
 
+
 asyncio.run(main())
diff --git a/strands-examples/strands-langfuse-demo/set_telemetry.py b/strands-examples/strands-langfuse-demo/set_telemetry.py
index e8e2aa4..a83b54e 100644
--- a/strands-examples/strands-langfuse-demo/set_telemetry.py
+++ b/strands-examples/strands-langfuse-demo/set_telemetry.py
@@ -12,7 +12,7 @@ def set_telemetry():
     LANGFUSE_AUTH = base64.b64encode(
         f"{os.environ.get('LANGFUSE_PUBLIC_KEY')}:{os.environ.get('LANGFUSE_SECRET_KEY')}".encode()
     ).decode()
-    
+
     # Configure OpenTelemetry endpoint & headers
     os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization=Basic {LANGFUSE_AUTH}"
 
diff --git a/strands-examples/strands-newrelic-demo/k8s_mcp_agent.py b/strands-examples/strands-newrelic-demo/k8s_mcp_agent.py
index 46b3797..7bcc342 100644
--- a/strands-examples/strands-newrelic-demo/k8s_mcp_agent.py
+++ b/strands-examples/strands-newrelic-demo/k8s_mcp_agent.py
@@ -8,16 +8,18 @@
 from set_telemetry import set_telemetry
 import uuid
 
+
 def remove_html_tags(text_with_html):
     text_with_out_html = re.sub(r"<[^>]+>", "", text_with_html)
     return text_with_out_html
 
+
 async def stream_result(stream):
     result = ""
     placeholder = st.empty()
     async for chunk in stream:
-        if 'data' in chunk:
-            result += chunk['data']
+        if "data" in chunk:
+            result += chunk["data"]
             result = remove_html_tags(result)
             placeholder.write(result)
 
@@ -27,20 +29,13 @@ def __init__(self):
         set_telemetry()
         server_params = {
             "command": "npx",
-            "args": [
-                "-y",
-                "kubernetes-mcp-server@latest"
-            ],
-            "env": {
-                "KUBECONFIG": "k3s.yaml"
-            }
+            "args": ["-y", "kubernetes-mcp-server@latest"],
+            "env": {"KUBECONFIG": "k3s.yaml"},
         }
-        
-        self.stdio_mcp_client = MCPClient(lambda: stdio_client(
-            StdioServerParameters(
-                **server_params
-            )
-        ))
+
+        self.stdio_mcp_client = MCPClient(
+            lambda: stdio_client(StdioServerParameters(**server_params))
+        )
 
         with self.stdio_mcp_client:
             # Get the tools from the MCP server
@@ -56,7 +51,6 @@ def __init__(self):
                 },
             )
 
-    
     async def send_prompt(self, prompt):
         with self.stdio_mcp_client:
             stream = self.agent.stream_async(prompt)
diff --git a/strands-examples/strands-newrelic-demo/k8s_mcp_app.py b/strands-examples/strands-newrelic-demo/k8s_mcp_app.py
index 0e13745..57d2ae1 100644
--- a/strands-examples/strands-newrelic-demo/k8s_mcp_app.py
+++ b/strands-examples/strands-newrelic-demo/k8s_mcp_app.py
@@ -4,6 +4,7 @@
 
 from k8s_mcp_agent import kubernetes_mcp_agent
 
+
 async def main():
     st.title("Kubernetes MCP App")
 
@@ -13,4 +14,5 @@ async def main():
         with st.chat_message("assistant"):
             await kubernetes_mcp_agent.send_prompt(prompt)
 
+
 asyncio.run(main())
diff --git a/strands-examples/strands-newrelic-demo/set_telemetry.py b/strands-examples/strands-newrelic-demo/set_telemetry.py
index 7d20891..0a11802 100644
--- a/strands-examples/strands-newrelic-demo/set_telemetry.py
+++ b/strands-examples/strands-newrelic-demo/set_telemetry.py
@@ -1,6 +1,7 @@
 from dotenv import load_dotenv
 from strands.telemetry import StrandsTelemetry
 
+
 def set_telemetry():
     load_dotenv()
     strands_telemetry = StrandsTelemetry()
diff --git a/strands-examples/strands_with_gemini.py b/strands-examples/strands_with_gemini.py
index eeb60e6..0e4f82d 100644
--- a/strands-examples/strands_with_gemini.py
+++ b/strands-examples/strands_with_gemini.py
@@ -2,17 +2,15 @@
 from strands import Agent
 from strands.models.litellm import LiteLLMModel
 
-logging.getLogger('strands').setLevel(logging.INFO)
-logging.basicConfig(
-    format="%(levelname)s | %(name)s | %(message)s"
-)
+logging.getLogger("strands").setLevel(logging.INFO)
+logging.basicConfig(format="%(levelname)s | %(name)s | %(message)s")
 
 model = LiteLLMModel(
     model_id="gemini/gemini-2.5-flash",
     params={
         "max_token": 5000,
         "temperature": 0.0,
-    }
+    },
 )
 
 agent = Agent(
@@ -21,6 +19,6 @@
 
 result = agent("Tell me about yourself")
 
-print('-' * 100)
-print(result.metrics.get_summary()['accumulated_usage'])
-print('-' * 100)
\ No newline at end of file
+print("-" * 100)
+print(result.metrics.get_summary()["accumulated_usage"])
+print("-" * 100)
diff --git a/strands-examples/tools_example.py b/strands-examples/tools_example.py
index 00d800b..d78f91b 100644
--- a/strands-examples/tools_example.py
+++ b/strands-examples/tools_example.py
@@ -4,11 +4,13 @@
 
 load_dotenv()
 
+
 def agent_callback(**kwargs):
     event = kwargs
-    if 'result' in event:
-        with open('result.md', 'w') as f:
-            f.write(str(event['result']))
+    if "result" in event:
+        with open("result.md", "w") as f:
+            f.write(str(event["result"]))
+
 
 agent = Agent(
     callback_handler=agent_callback,
diff --git a/structured-kb-demo/arns.py b/structured-kb-demo/arns.py
index 812bad0..8f4c7bd 100644
--- a/structured-kb-demo/arns.py
+++ b/structured-kb-demo/arns.py
@@ -10,16 +10,26 @@
     SQS_QUEUE,
 )
 
-AWS_MANAGED_GLUE_IAM_POLICY_ARN = "arn:aws:iam::aws:policy/service-role/AWSGlueServiceRole"
-AWS_MANAGED_REDSHIFT_IAM_POLICY_ARN = "arn:aws:iam::aws:policy/AmazonRedshiftAllCommandsFullAccess"
+AWS_MANAGED_GLUE_IAM_POLICY_ARN = (
+    "arn:aws:iam::aws:policy/service-role/AWSGlueServiceRole"
+)
+AWS_MANAGED_REDSHIFT_IAM_POLICY_ARN = (
+    "arn:aws:iam::aws:policy/AmazonRedshiftAllCommandsFullAccess"
+)
 
-BEDROCK_KB_IAM_POLICY_ARN = f"arn:aws:iam::{AWS_ACCOUNT_ID}:policy/{BEDROCK_KB_IAM_POLICY}"
+BEDROCK_KB_IAM_POLICY_ARN = (
+    f"arn:aws:iam::{AWS_ACCOUNT_ID}:policy/{BEDROCK_KB_IAM_POLICY}"
+)
 BEDROCK_KB_IAM_ROLE_ARN = f"arn:aws:iam::{AWS_ACCOUNT_ID}:role/{BEDROCK_KB_IAM_ROLE}"
 
 S3_BUCKET_ARN = f"arn:aws:s3:::{S3_BUCKET}"
 
-GLUE_CRAWLER_IAM_POLICY_ARN = f"arn:aws:iam::{AWS_ACCOUNT_ID}:policy/{GLUE_CRAWLER_IAM_POLICY}"
-GLUE_CRAWLER_IAM_ROLE_ARN = f"arn:aws:iam::{AWS_ACCOUNT_ID}:role/{GLUE_CRAWLER_IAM_ROLE}"
+GLUE_CRAWLER_IAM_POLICY_ARN = (
+    f"arn:aws:iam::{AWS_ACCOUNT_ID}:policy/{GLUE_CRAWLER_IAM_POLICY}"
+)
+GLUE_CRAWLER_IAM_ROLE_ARN = (
+    f"arn:aws:iam::{AWS_ACCOUNT_ID}:role/{GLUE_CRAWLER_IAM_ROLE}"
+)
 
 SQS_QUEUE_ARN = f"arn:aws:sqs:{AWS_REGION}:{AWS_ACCOUNT_ID}:{SQS_QUEUE}"
 
diff --git a/structured-kb-demo/get_bedrock_kb_id.py b/structured-kb-demo/get_bedrock_kb_id.py
index bcc0133..4dbbf77 100644
--- a/structured-kb-demo/get_bedrock_kb_id.py
+++ b/structured-kb-demo/get_bedrock_kb_id.py
@@ -4,11 +4,13 @@
 
 bedrock_agent = boto3.client("bedrock-agent", region_name=AWS_REGION)
 
+
 def get_kb_id_by_name(kb_name):
     response = bedrock_agent.list_knowledge_bases(maxResults=10)
-    for kb in response.get('knowledgeBaseSummaries', []):
-        if kb['name'] == kb_name:
-            return kb['knowledgeBaseId']
+    for kb in response.get("knowledgeBaseSummaries", []):
+        if kb["name"] == kb_name:
+            return kb["knowledgeBaseId"]
     return None
 
+
 BEDROCK_KB_ID = get_kb_id_by_name(BEDROCK_KB)
diff --git a/structured-kb-demo/get_redshift_wg_arn.py b/structured-kb-demo/get_redshift_wg_arn.py
index 101e140..e348c9a 100644
--- a/structured-kb-demo/get_redshift_wg_arn.py
+++ b/structured-kb-demo/get_redshift_wg_arn.py
@@ -9,5 +9,7 @@
     response = client.get_workgroup(workgroupName=REDSHIFT_WORKGROUP)
     REDSHIFT_WORKGROUP_ARN = response["workgroup"]["workgroupArn"]
 except ClientError as e:
-    logger.error(f"Error fetching Redshift workgroup ARN: {e.response["Error"]["Message"]}")
+    logger.error(
+        f"Error fetching Redshift workgroup ARN: {e.response["Error"]["Message"]}"
+    )
     REDSHIFT_WORKGROUP_ARN = None
diff --git a/structured-kb-demo/run_glue_crawler.py b/structured-kb-demo/run_glue_crawler.py
index 1dab7d7..44e4ed8 100644
--- a/structured-kb-demo/run_glue_crawler.py
+++ b/structured-kb-demo/run_glue_crawler.py
@@ -5,6 +5,7 @@
 from logger import logger
 from vars import GLUE_CRAWLER, AWS_REGION
 
+
 def run_glue_crawler(crawler_name):
     glue = boto3.client("glue", region_name=AWS_REGION)
 
@@ -15,7 +16,7 @@ def run_glue_crawler(crawler_name):
         while True:
             response = glue.get_crawler(Name=crawler_name)
             status = response["Crawler"]["State"]
-            
+
             if status == "RUNNING":
                 logger.info("Crawler is still running...")
                 time.sleep(30)  # Wait 30 seconds before checking again
@@ -25,10 +26,11 @@ def run_glue_crawler(crawler_name):
             else:
                 logger.info(f"Crawler finished. Final State: {status}")
                 break
-                
+
     except glue.exceptions.CrawlerRunningException:
         logger.warning("Crawler is already running.")
     except Exception as e:
         logger.error(f"Error: {str(e)}")
 
+
 run_glue_crawler(GLUE_CRAWLER)
diff --git a/structured-kb-demo/setup_bedrock_kb.py b/structured-kb-demo/setup_bedrock_kb.py
index 2d591f2..a744ea1 100644
--- a/structured-kb-demo/setup_bedrock_kb.py
+++ b/structured-kb-demo/setup_bedrock_kb.py
@@ -11,6 +11,7 @@
 
 bedrock = boto3.client("bedrock-agent", region_name=AWS_REGION)
 
+
 def setup_structured_kb():
     try:
         logger.info(f"Creating Knowledge Base: {BEDROCK_KB}...")
@@ -26,30 +27,32 @@ def setup_structured_kb():
                             "type": "SERVERLESS",
                             "serverlessConfiguration": {
                                 "workgroupArn": REDSHIFT_WORKGROUP_ARN,
-                                "authConfiguration": {"type": "IAM"}
-                            }
+                                "authConfiguration": {"type": "IAM"},
+                            },
                         },
                         "storageConfigurations": [
                             {
                                 "type": "AWS_DATA_CATALOG",
                                 "awsDataCatalogConfiguration": {
                                     "tableNames": [GLUE_TABLE_FULL]
-                                }
+                                },
                             }
-                        ]
-                    }
-                }
-            }
+                        ],
+                    },
+                },
+            },
         )
-        kb_id = kb_response['knowledgeBase']['knowledgeBaseId']
+        kb_id = kb_response["knowledgeBase"]["knowledgeBaseId"]
         logger.info(f"Successfully created KB with ID: {kb_id}")
 
     except ClientError as e:
-        if e.response['Error']['Code'] == 'ConflictException':
+        if e.response["Error"]["Code"] == "ConflictException":
             logger.info(f"KB {BEDROCK_KB} already exists. Fetching ID...")
             # Logic to find existing ID
-            kbs = bedrock.list_knowledge_bases(maxResults=100)['knowledgeBaseSummaries']
-            kb_id = next(kb['knowledgeBaseId'] for kb in kbs if kb['name'] == BEDROCK_KB)
+            kbs = bedrock.list_knowledge_bases(maxResults=100)["knowledgeBaseSummaries"]
+            kb_id = next(
+                kb["knowledgeBaseId"] for kb in kbs if kb["name"] == BEDROCK_KB
+            )
         else:
             raise e
 
@@ -58,46 +61,46 @@ def setup_structured_kb():
         ds_response = bedrock.create_data_source(
             knowledgeBaseId=kb_id,
             name=f"{BEDROCK_KB}-metadata-source",
-            dataSourceConfiguration={
-                "type": "REDSHIFT_METADATA"
-            }
+            dataSourceConfiguration={"type": "REDSHIFT_METADATA"},
         )
-        ds_id = ds_response['dataSource']['dataSourceId']
+        ds_id = ds_response["dataSource"]["dataSourceId"]
         logger.info(f"Data Source Created: {ds_id}")
 
     except ClientError as e:
-        if e.response['Error']['Code'] == 'ConflictException':
+        if e.response["Error"]["Code"] == "ConflictException":
             logger.info("Data Source already exists. Fetching ID...")
-            sources = bedrock.list_data_sources(knowledgeBaseId=kb_id)['dataSourceSummaries']
-            ds_id = sources[0]['dataSourceId']
+            sources = bedrock.list_data_sources(knowledgeBaseId=kb_id)[
+                "dataSourceSummaries"
+            ]
+            ds_id = sources[0]["dataSourceId"]
         else:
             raise e
 
     # TRIGGER SYNC (INGESTION)
     logger.info("Starting Metadata Ingestion Job (Sync)...")
     ingest_response = bedrock.start_ingestion_job(
-        knowledgeBaseId=kb_id,
-        dataSourceId=ds_id
+        knowledgeBaseId=kb_id, dataSourceId=ds_id
     )
-    job_id = ingest_response['ingestionJob']['ingestionJobId']
+    job_id = ingest_response["ingestionJob"]["ingestionJobId"]
 
     # WAIT FOR SYNC
     while True:
         job = bedrock.get_ingestion_job(
-            knowledgeBaseId=kb_id,
-            dataSourceId=ds_id,
-            ingestionJobId=job_id
+            knowledgeBaseId=kb_id, dataSourceId=ds_id, ingestionJobId=job_id
         )
-        status = job['ingestionJob']['status']
+        status = job["ingestionJob"]["status"]
         logger.info(f"Sync Status: {status}")
-        
-        if status in ['COMPLETE', 'FAILED', 'STOPPED']:
-            if status == 'FAILED':
-                logger.error(f"Sync failed. Reasons: {job['ingestionJob'].get('failureReasons')}")
+
+        if status in ["COMPLETE", "FAILED", "STOPPED"]:
+            if status == "FAILED":
+                logger.error(
+                    f"Sync failed. Reasons: {job['ingestionJob'].get('failureReasons')}"
+                )
             break
         time.sleep(10)
 
     logger.info("Knowledge Base is now fully ready for SQL queries.")
 
+
 if __name__ == "__main__":
-    setup_structured_kb()
\ No newline at end of file
+    setup_structured_kb()
diff --git a/structured-kb-demo/setup_bedrock_kb_iam_policy.py b/structured-kb-demo/setup_bedrock_kb_iam_policy.py
index ff45933..4cc3126 100644
--- a/structured-kb-demo/setup_bedrock_kb_iam_policy.py
+++ b/structured-kb-demo/setup_bedrock_kb_iam_policy.py
@@ -19,32 +19,26 @@
             "Action": [
                 "redshift-data:GetStatementResult",
                 "redshift-data:DescribeStatement",
-                "redshift-data:CancelStatement"
+                "redshift-data:CancelStatement",
             ],
             "Resource": ["*"],
             "Condition": {
                 "StringEquals": {
                     "redshift-data:statement-owner-iam-userid": "${aws:userid}"
                 }
-            }
+            },
         },
         {
             "Sid": "RedshiftDataAPIExecutePermissions",
             "Effect": "Allow",
-            "Action": [
-                "redshift-data:ExecuteStatement"
-            ],
-            "Resource": [
-                REDSHIFT_WORKGROUP_ARN
-            ]
+            "Action": ["redshift-data:ExecuteStatement"],
+            "Resource": [REDSHIFT_WORKGROUP_ARN],
         },
         {
             "Sid": "RedshiftServerlessGetCredentials",
             "Effect": "Allow",
             "Action": "redshift-serverless:GetCredentials",
-            "Resource": [
-                REDSHIFT_WORKGROUP_ARN
-            ]
+            "Resource": [REDSHIFT_WORKGROUP_ARN],
         },
         {
             "Sid": "SqlWorkbenchAccess",
@@ -53,17 +47,15 @@
                 "sqlworkbench:GetSqlRecommendations",
                 "sqlworkbench:PutSqlGenerationContext",
                 "sqlworkbench:GetSqlGenerationContext",
-                "sqlworkbench:DeleteSqlGenerationContext"
+                "sqlworkbench:DeleteSqlGenerationContext",
             ],
-            "Resource": "*"
+            "Resource": "*",
         },
         {
             "Sid": "KbAccess",
             "Effect": "Allow",
-            "Action": [
-                "bedrock:GenerateQuery"
-            ],
-            "Resource": "*"
+            "Action": ["bedrock:GenerateQuery"],
+            "Resource": "*",
         },
         {
             "Sid": "VisualEditor0",
@@ -75,26 +67,20 @@
                 "glue:GetTable",
                 "glue:GetPartitions",
                 "glue:GetPartition",
-                "glue:SearchTables"
+                "glue:SearchTables",
             ],
             "Resource": [
                 f"arn:aws:glue:{AWS_REGION}:{AWS_ACCOUNT_ID}:table/{GLUE_DB}/{GLUE_TABLE}",
                 f"arn:aws:glue:{AWS_REGION}:{AWS_ACCOUNT_ID}:database/{GLUE_DB}",
-                f"arn:aws:glue:{AWS_REGION}:{AWS_ACCOUNT_ID}:catalog"
-            ]
+                f"arn:aws:glue:{AWS_REGION}:{AWS_ACCOUNT_ID}:catalog",
+            ],
         },
         {
             "Effect": "Allow",
-            "Action": [
-                "s3:ListBucket",
-                "s3:GetObject"
-            ],
-            "Resource": [
-                f"{S3_BUCKET_ARN}",
-                f"{S3_BUCKET_ARN}/*"
-            ]
-        }
-    ]
+            "Action": ["s3:ListBucket", "s3:GetObject"],
+            "Resource": [f"{S3_BUCKET_ARN}", f"{S3_BUCKET_ARN}/*"],
+        },
+    ],
 }
 
 try:
@@ -102,22 +88,26 @@
     response = iam.create_policy(
         PolicyName=BEDROCK_KB_IAM_POLICY,
         PolicyDocument=json.dumps(policy_document),
-        Description="Permissions for Bedrock Structured KB to query Redshift Serverless."
+        Description="Permissions for Bedrock Structured KB to query Redshift Serverless.",
     )
-    
+
     logger.info("Successfully created policy!")
 
 except iam.exceptions.EntityAlreadyExistsException:
     logger.info("Policy already exists, updating it.")
     # Get the policy ARN
-    policies = iam.list_policies(Scope='Local')
-    policy_arn = next(p['Arn'] for p in policies['Policies'] if p['PolicyName'] == BEDROCK_KB_IAM_POLICY)
-    
+    policies = iam.list_policies(Scope="Local")
+    policy_arn = next(
+        p["Arn"]
+        for p in policies["Policies"]
+        if p["PolicyName"] == BEDROCK_KB_IAM_POLICY
+    )
+
     # Create a new version and set it as default
     iam.create_policy_version(
         PolicyArn=policy_arn,
         PolicyDocument=json.dumps(policy_document),
-        SetAsDefault=True
+        SetAsDefault=True,
     )
     logger.info("Successfully updated policy!")
 except Exception as e:
diff --git a/structured-kb-demo/setup_bedrock_kb_iam_role.py b/structured-kb-demo/setup_bedrock_kb_iam_role.py
index b9681ce..5cf05fa 100644
--- a/structured-kb-demo/setup_bedrock_kb_iam_role.py
+++ b/structured-kb-demo/setup_bedrock_kb_iam_role.py
@@ -13,33 +13,28 @@
         {
             "Sid": "TrustPolicyStatement",
             "Effect": "Allow",
-            "Principal": {
-                "Service": "bedrock.amazonaws.com"
-            },
+            "Principal": {"Service": "bedrock.amazonaws.com"},
             "Action": "sts:AssumeRole",
             "Condition": {
-                "StringEquals": {
-                    "aws:SourceAccount": AWS_ACCOUNT_ID
-                },
+                "StringEquals": {"aws:SourceAccount": AWS_ACCOUNT_ID},
                 "ArnLike": {
                     "aws:SourceArn": f"arn:aws:bedrock:{AWS_REGION}:{AWS_ACCOUNT_ID}:knowledge-base/*"
-                }
-            }
+                },
+            },
         }
-    ]
+    ],
 }
 
 try:
     iam.create_role(
         RoleName=BEDROCK_KB_IAM_ROLE,
         AssumeRolePolicyDocument=json.dumps(trust_policy),
-        Description='IAM Role for Bedrock Knowledge Base to access Redshift Serverless'
+        Description="IAM Role for Bedrock Knowledge Base to access Redshift Serverless",
     )
     logger.info(f"Created role: {BEDROCK_KB_IAM_ROLE}")
 
     iam.attach_role_policy(
-        RoleName=BEDROCK_KB_IAM_ROLE,
-        PolicyArn=BEDROCK_KB_IAM_POLICY_ARN
+        RoleName=BEDROCK_KB_IAM_ROLE, PolicyArn=BEDROCK_KB_IAM_POLICY_ARN
     )
     logger.info("Attached IAM policy to BedrockKB IAM role.")
 
diff --git a/structured-kb-demo/setup_bedrock_kb_user_on_redshift.py b/structured-kb-demo/setup_bedrock_kb_user_on_redshift.py
index 8f8968a..6bd7a5f 100644
--- a/structured-kb-demo/setup_bedrock_kb_user_on_redshift.py
+++ b/structured-kb-demo/setup_bedrock_kb_user_on_redshift.py
@@ -19,24 +19,22 @@
 try:
     # Execute as a batch
     response = client.batch_execute_statement(
-        WorkgroupName=REDSHIFT_WORKGROUP,
-        Database="awsdatacatalog",
-        Sqls=sql_statements
+        WorkgroupName=REDSHIFT_WORKGROUP, Database="awsdatacatalog", Sqls=sql_statements
     )
-    
-    execution_id = response['Id']
+
+    execution_id = response["Id"]
     logger.info(f"Execution started. ID: {execution_id}")
 
     # (Optional) Wait for completion
     while True:
         status = client.describe_statement(Id=execution_id)
-        state = status['Status']
-        if state in ['FINISHED', 'FAILED', 'ABORTED']:
+        state = status["Status"]
+        if state in ["FINISHED", "FAILED", "ABORTED"]:
             logger.info(f"Final Status: {state}")
-            if state == 'FAILED':
+            if state == "FAILED":
                 logger.error(f"Error: {status.get('Error')}")
             break
         time.sleep(2)
 
 except Exception as e:
-    logger.error(f"Failed to execute: {e}")
\ No newline at end of file
+    logger.error(f"Failed to execute: {e}")
diff --git a/structured-kb-demo/setup_glue_crawler.py b/structured-kb-demo/setup_glue_crawler.py
index bbfdf2f..cc6118a 100644
--- a/structured-kb-demo/setup_glue_crawler.py
+++ b/structured-kb-demo/setup_glue_crawler.py
@@ -2,7 +2,7 @@
 
 from arns import GLUE_CRAWLER_IAM_ROLE_ARN, SQS_QUEUE_ARN
 from logger import logger
-from vars import  AWS_REGION, GLUE_CRAWLER, GLUE_DB, S3_BUCKET, S3_FOLDER
+from vars import AWS_REGION, GLUE_CRAWLER, GLUE_DB, S3_BUCKET, S3_FOLDER
 
 S3_PATH = f"s3://{S3_BUCKET}/{S3_FOLDER}"
 
diff --git a/structured-kb-demo/setup_glue_crawler_iam_policy.py b/structured-kb-demo/setup_glue_crawler_iam_policy.py
index e060e09..bfa1489 100644
--- a/structured-kb-demo/setup_glue_crawler_iam_policy.py
+++ b/structured-kb-demo/setup_glue_crawler_iam_policy.py
@@ -7,20 +7,15 @@
 from logger import logger
 from vars import GLUE_CRAWLER_IAM_POLICY
 
-iam = boto3.client('iam')
+iam = boto3.client("iam")
 
 policy_document = {
     "Version": "2012-10-17",
     "Statement": [
         {
             "Effect": "Allow",
-            "Action": [
-                "s3:GetObject",
-                "s3:ListBucket"
-            ],
-            "Resource": [
-                f"{S3_BUCKET_ARN}/*"
-            ]
+            "Action": ["s3:GetObject", "s3:ListBucket"],
+            "Resource": [f"{S3_BUCKET_ARN}/*"],
         },
         {
             "Effect": "Allow",
@@ -30,21 +25,21 @@
                 "sqs:GetQueueUrl",
                 "sqs:PurgeQueue",
                 "sqs:ReceiveMessage",
-                "sqs:SetQueueAttributes"
+                "sqs:SetQueueAttributes",
             ],
-            "Resource": SQS_QUEUE_ARN
+            "Resource": SQS_QUEUE_ARN,
         },
-    ]
+    ],
 }
 
 try:
     iam.create_policy(
         PolicyName=GLUE_CRAWLER_IAM_POLICY,
         PolicyDocument=json.dumps(policy_document),
-        Description='Permissions for Glue Crawler to crawl S3 and use SQS Events'
+        Description="Permissions for Glue Crawler to crawl S3 and use SQS Events",
     )
     logger.info("Policy created successfully!")
-    
+
 except iam.exceptions.EntityAlreadyExistsException:
     logger.info("Policy already exists. Updating...")
     try:
@@ -52,11 +47,11 @@
         iam.create_policy_version(
             PolicyArn=GLUE_CRAWLER_IAM_POLICY_ARN,
             PolicyDocument=json.dumps(policy_document),
-            SetAsDefault=True
+            SetAsDefault=True,
         )
         logger.info("Policy updated successfully!")
     except Exception as e:
         logger.error(f"Error updating policy: {e}")
-        
+
 except Exception as e:
-    logger.error(f"Error: {e}")
\ No newline at end of file
+    logger.error(f"Error: {e}")
diff --git a/structured-kb-demo/setup_glue_crawler_iam_role.py b/structured-kb-demo/setup_glue_crawler_iam_role.py
index e67c2a8..e3096bd 100644
--- a/structured-kb-demo/setup_glue_crawler_iam_role.py
+++ b/structured-kb-demo/setup_glue_crawler_iam_role.py
@@ -13,23 +13,17 @@
     "Statement": [
         {
             "Effect": "Allow",
-            "Principal": {
-                "Service": "glue.amazonaws.com"
-            },
+            "Principal": {"Service": "glue.amazonaws.com"},
             "Action": "sts:AssumeRole",
-            "Condition": {
-                "StringEquals": {
-                    "aws:SourceAccount": AWS_ACCOUNT_ID
-                }
-            }
+            "Condition": {"StringEquals": {"aws:SourceAccount": AWS_ACCOUNT_ID}},
         }
-    ]
+    ],
 }
 
 try:
     iam.create_role(
         RoleName=GLUE_CRAWLER_IAM_ROLE,
-        AssumeRolePolicyDocument=json.dumps(trust_policy)
+        AssumeRolePolicyDocument=json.dumps(trust_policy),
     )
     logger.info("Created role")
 except iam.exceptions.EntityAlreadyExistsException:
@@ -38,12 +32,11 @@
 
 # Get existing attached policies
 response = iam.list_attached_role_policies(RoleName=GLUE_CRAWLER_IAM_ROLE)
-attached_policies = [p['PolicyArn'] for p in response.get('AttachedPolicies', [])]
+attached_policies = [p["PolicyArn"] for p in response.get("AttachedPolicies", [])]
 
 if AWS_MANAGED_GLUE_IAM_POLICY_ARN not in attached_policies:
     iam.attach_role_policy(
-        RoleName=GLUE_CRAWLER_IAM_ROLE,
-        PolicyArn=AWS_MANAGED_GLUE_IAM_POLICY_ARN
+        RoleName=GLUE_CRAWLER_IAM_ROLE, PolicyArn=AWS_MANAGED_GLUE_IAM_POLICY_ARN
     )
     logger.info("AWS Glue Service Role policy attached.")
 else:
@@ -51,11 +44,10 @@
 
 if GLUE_CRAWLER_IAM_POLICY_ARN not in attached_policies:
     iam.attach_role_policy(
-        RoleName=GLUE_CRAWLER_IAM_ROLE,
-        PolicyArn=GLUE_CRAWLER_IAM_POLICY_ARN
+        RoleName=GLUE_CRAWLER_IAM_ROLE, PolicyArn=GLUE_CRAWLER_IAM_POLICY_ARN
     )
     logger.info("Custom Glue Crawler policy attached.")
 else:
     logger.info("Custom Glue Crawler policy already attached.")
 
-logger.info("Policy attachment check completed.")
\ No newline at end of file
+logger.info("Policy attachment check completed.")
diff --git a/structured-kb-demo/setup_glue_db.py b/structured-kb-demo/setup_glue_db.py
index 9405498..b7b8ede 100644
--- a/structured-kb-demo/setup_glue_db.py
+++ b/structured-kb-demo/setup_glue_db.py
@@ -3,17 +3,17 @@
 from logger import logger
 from vars import GLUE_DB, AWS_REGION
 
-glue = boto3.client('glue', region_name=AWS_REGION)
+glue = boto3.client("glue", region_name=AWS_REGION)
 
 try:
     response = glue.create_database(
         DatabaseInput={
-            'Name': GLUE_DB,
-            'Description': 'Database for Bedrock structured knowledge base demo',
+            "Name": GLUE_DB,
+            "Description": "Database for Bedrock structured knowledge base demo",
         }
     )
     logger.info("Glue database created successfully.")
-    
+
 except glue.exceptions.AlreadyExistsException:
     logger.error("Database already exists.")
 except Exception as e:
diff --git a/structured-kb-demo/setup_redshift_iam_role.py b/structured-kb-demo/setup_redshift_iam_role.py
index ca1fb80..f4989b3 100644
--- a/structured-kb-demo/setup_redshift_iam_role.py
+++ b/structured-kb-demo/setup_redshift_iam_role.py
@@ -16,25 +16,24 @@
                 "Service": [
                     "redshift-serverless.amazonaws.com",
                     "redshift.amazonaws.com",
-                    "sagemaker.amazonaws.com"
+                    "sagemaker.amazonaws.com",
                 ]
             },
-            "Action": "sts:AssumeRole"
+            "Action": "sts:AssumeRole",
         }
-    ]
+    ],
 }
 
 try:
     iam.create_role(
         RoleName=REDSHIFT_IAM_ROLE,
         AssumeRolePolicyDocument=json.dumps(trust_policy),
-        Description="Role for Redshift Serverless to access Glue and S3"
+        Description="Role for Redshift Serverless to access Glue and S3",
     )
     logger.info(f"Created role: {REDSHIFT_IAM_ROLE}")
 
     iam.attach_role_policy(
-        RoleName=REDSHIFT_IAM_ROLE,
-        PolicyArn=AWS_MANAGED_REDSHIFT_IAM_POLICY_ARN
+        RoleName=REDSHIFT_IAM_ROLE, PolicyArn=AWS_MANAGED_REDSHIFT_IAM_POLICY_ARN
     )
     logger.info(f"Attached AmazonRedshiftAllCommandsFullAccess to {REDSHIFT_IAM_ROLE}")
 
diff --git a/structured-kb-demo/setup_redshift_workgroup.py b/structured-kb-demo/setup_redshift_workgroup.py
index 88e51e3..f2f60fd 100644
--- a/structured-kb-demo/setup_redshift_workgroup.py
+++ b/structured-kb-demo/setup_redshift_workgroup.py
@@ -5,29 +5,25 @@
 from logger import logger
 from vars import REDSHIFT_NAMESPACE, REDSHIFT_WORKGROUP, AWS_REGION
 
-redshift_client = boto3.client(
-    "redshift-serverless",
-    region_name=AWS_REGION
-)
+redshift_client = boto3.client("redshift-serverless", region_name=AWS_REGION)
 
 try:
     redshift_client.create_namespace(
         namespaceName=REDSHIFT_NAMESPACE,
         dbName="dev",
         iamRoles=[REDSHIFT_IAM_ROLE_ARN],
-        defaultIamRoleArn=REDSHIFT_IAM_ROLE_ARN
+        defaultIamRoleArn=REDSHIFT_IAM_ROLE_ARN,
     )
 
     logger.info("Namespace creation initiated.")
 
     redshift_client.create_workgroup(
-        workgroupName=REDSHIFT_WORKGROUP,
-        namespaceName=REDSHIFT_NAMESPACE
+        workgroupName=REDSHIFT_WORKGROUP, namespaceName=REDSHIFT_NAMESPACE
     )
 
     logger.info("Workgroup creation initiated.")
 except ClientError as e:
-    if e.response['Error']['Code'] == 'ConflictException':
+    if e.response["Error"]["Code"] == "ConflictException":
         logger.warning(f"Resource already exists: {e}")
     else:
         logger.error(f"Error creating Redshift namespace or workgroup: {e}")
diff --git a/structured-kb-demo/setup_s3_bucket.py b/structured-kb-demo/setup_s3_bucket.py
index e160aa6..54b8737 100644
--- a/structured-kb-demo/setup_s3_bucket.py
+++ b/structured-kb-demo/setup_s3_bucket.py
@@ -5,7 +5,7 @@
 
 from vars import S3_BUCKET, AWS_REGION
 
-s3_client = boto3.client('s3', region_name=AWS_REGION)
+s3_client = boto3.client("s3", region_name=AWS_REGION)
 
 try:
     s3_client.head_bucket(Bucket=S3_BUCKET)
@@ -13,7 +13,6 @@
 except ClientError as e:
     logger.error(f"Error accessing bucket {S3_BUCKET}: {e}")
     s3_client.create_bucket(
-        Bucket=S3_BUCKET,
-        CreateBucketConfiguration={'LocationConstraint': AWS_REGION}
+        Bucket=S3_BUCKET, CreateBucketConfiguration={"LocationConstraint": AWS_REGION}
     )
     logger.info(f"Bucket {S3_BUCKET} created successfully")
diff --git a/structured-kb-demo/setup_s3_event_notification.py b/structured-kb-demo/setup_s3_event_notification.py
index f43526b..36d9ecc 100644
--- a/structured-kb-demo/setup_s3_event_notification.py
+++ b/structured-kb-demo/setup_s3_event_notification.py
@@ -10,19 +10,15 @@
     "QueueConfigurations": [
         {
             "QueueArn": SQS_QUEUE_ARN,
-            "Events": [
-                "s3:ObjectCreated:*", 
-                "s3:ObjectRemoved:*"
-            ]
+            "Events": ["s3:ObjectCreated:*", "s3:ObjectRemoved:*"],
         }
     ]
 }
 
 try:
     s3.put_bucket_notification_configuration(
-        Bucket=S3_BUCKET,
-        NotificationConfiguration=notification_configuration
+        Bucket=S3_BUCKET, NotificationConfiguration=notification_configuration
     )
     logger.info("Successfully added event notifications")
 except Exception as e:
-    logger.error(f"Error: {e}")
\ No newline at end of file
+    logger.error(f"Error: {e}")
diff --git a/structured-kb-demo/setup_sqs_queue.py b/structured-kb-demo/setup_sqs_queue.py
index ac60fcb..9a3c981 100644
--- a/structured-kb-demo/setup_sqs_queue.py
+++ b/structured-kb-demo/setup_sqs_queue.py
@@ -6,22 +6,16 @@
 from logger import logger
 from vars import SQS_QUEUE, AWS_REGION
 
-sqs = boto3.client('sqs', region_name=AWS_REGION)
+sqs = boto3.client("sqs", region_name=AWS_REGION)
 
 access_policy = {
     "Statement": [
         {
             "Effect": "Allow",
-            "Principal": {
-                "Service": "s3.amazonaws.com"
-            },
+            "Principal": {"Service": "s3.amazonaws.com"},
             "Action": "sqs:SendMessage",
             "Resource": SQS_QUEUE_ARN,
-            "Condition": {
-                "ArnLike": {
-                    "aws:SourceArn": S3_BUCKET_ARN
-                }
-            }
+            "Condition": {"ArnLike": {"aws:SourceArn": S3_BUCKET_ARN}},
         }
     ]
 }
@@ -33,11 +27,8 @@
 except sqs.exceptions.QueueDoesNotExist:
     # Create queue if it doesn't exist
     sqs.create_queue(
-        QueueName=SQS_QUEUE,
-        Attributes={
-            'Policy': json.dumps(access_policy)
-        }
+        QueueName=SQS_QUEUE, Attributes={"Policy": json.dumps(access_policy)}
     )
     logger.info("Queue created successfully.")
 except Exception as e:
-    logger.error(f"Error: {e}")
\ No newline at end of file
+    logger.error(f"Error: {e}")
diff --git a/structured-kb-demo/upload_csv_to_s3.py b/structured-kb-demo/upload_csv_to_s3.py
index 20d37df..eefd5e9 100644
--- a/structured-kb-demo/upload_csv_to_s3.py
+++ b/structured-kb-demo/upload_csv_to_s3.py
@@ -5,6 +5,7 @@
 
 from vars import S3_BUCKET, S3_FOLDER
 
+
 def upload_to_s3(local_file, bucket, s3_file):
     s3 = boto3.client("s3")
 
@@ -16,6 +17,7 @@ def upload_to_s3(local_file, bucket, s3_file):
     except NoCredentialsError:
         print("Credentials not available")
 
+
 # Usage
 if len(sys.argv) < 2:
     print("Usage: python upload_csv_to_s3.py ")
diff --git a/structured-kb-demo/vars.py b/structured-kb-demo/vars.py
index 12a660a..e882a62 100644
--- a/structured-kb-demo/vars.py
+++ b/structured-kb-demo/vars.py
@@ -6,8 +6,9 @@
 
 @lru_cache(maxsize=1)
 def _load_env_once() -> os._Environ[str]:
-	load_dotenv()
-	return os.environ
+    load_dotenv()
+    return os.environ
+
 
 # load all env vars at once as a dictionary
 env_vars = _load_env_once()

From 49366acab978b0db238fcae5e01ae92085d662ad Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:08:19 +0530
Subject: [PATCH 08/60] ci: update Node.js version to 22 for Astro build

---
 .github/workflows/deploy.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
index 779c224..a90447a 100644
--- a/.github/workflows/deploy.yml
+++ b/.github/workflows/deploy.yml
@@ -24,7 +24,7 @@ jobs:
       - name: Setup Node
         uses: actions/setup-node@v4
         with:
-          node-version: "20"
+          node-version: "22"
           cache: "npm"
 
       - name: Install dependencies

From de1e1cef6faa0ce5b09aef48b5a14ea2636def2d Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:15:05 +0530
Subject: [PATCH 09/60] style: active navigation text highlighting and add
 .nojekyll

---
 public/.nojekyll             |  1 +
 src/layouts/BaseLayout.astro | 86 ++++++++++++++++++++++--------------
 2 files changed, 54 insertions(+), 33 deletions(-)
 create mode 100644 public/.nojekyll

diff --git a/public/.nojekyll b/public/.nojekyll
new file mode 100644
index 0000000..39820cc
--- /dev/null
+++ b/public/.nojekyll
@@ -0,0 +1 @@
+# Prevent GitHub Pages from attempting Jekyll processing on Astro outputs
diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index 29b1ded..6839912 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -10,6 +10,26 @@ const {
   title = "Shakir Ahmed Ibrahim | Cloud Native, DevOps & Systems Engineering Portfolio", 
   description = "Engineering portfolio & technical notes by Shakir Ahmed Ibrahim. Cloud architecture, Kubernetes guides, and AI/ML systems." 
 } = Astro.props;
+
+const currentPath = Astro.url.pathname;
+const isActive = (path: string) => {
+  if (path === '/') return currentPath === '/';
+  if (path.startsWith('/#')) return currentPath === '/';
+  return currentPath === path || currentPath.startsWith(`${path}/`);
+};
+
+const navItems = [
+  { href: '/', label: 'Home' },
+  { href: '/cv', label: 'CV / Resume' },
+  { href: '/projects', label: 'Projects' },
+  { href: '/accreditations', label: 'Certifications' },
+  { href: '/awards', label: 'Awards' },
+  { href: '/videos', label: 'Videos' },
+  { href: '/github', label: 'GitHub Activity' },
+  { href: '/#skills', label: 'Skills' },
+  { href: '/blog', label: 'Blog' },
+  { href: '/about', label: 'About' },
+];
 ---
 
 
@@ -27,16 +47,14 @@ const {
     
    
       
    
         
       
    
     
    
@@ -71,44 +89,44 @@ const {
     backdrop-filter: blur(16px);
     -webkit-backdrop-filter: blur(16px);
     border-bottom: 1px solid var(--border-glass);
-    padding: 1rem 0;
+    padding: 0.75rem 0;
   }
 
   .header-content {
     display: flex;
-    justify-content: space-between;
+    justify-content: center;
     align-items: center;
   }
 
-  .brand {
-    font-size: 1.25rem;
-    font-weight: 700;
-    color: var(--text-main);
-    font-family: var(--font-mono);
-    text-decoration: none;
-  }
-
-  .brand-accent {
-    color: var(--accent-blue);
-  }
-
-  .brand-code {
-    color: var(--accent-indigo);
-  }
-
   .nav-links {
     display: flex;
-    gap: 1.5rem;
+    gap: 0.5rem;
+    flex-wrap: wrap;
+    justify-content: center;
   }
 
   .nav-links a {
+    padding: 0.4rem 0.85rem;
+    border-radius: 8px;
     color: var(--text-muted);
     font-weight: 500;
-    font-size: 0.95rem;
+    font-size: 0.92rem;
+    transition: all 0.2s ease;
+    border: 1px solid transparent;
   }
 
   .nav-links a:hover {
+    color: var(--text-main);
+    background: rgba(255, 255, 255, 0.05);
+    border-color: rgba(255, 255, 255, 0.08);
+  }
+
+  .nav-links a.active {
     color: var(--accent-blue);
+    background: rgba(56, 189, 248, 0.12);
+    border-color: rgba(56, 189, 248, 0.3);
+    font-weight: 600;
+    box-shadow: 0 0 12px rgba(56, 189, 248, 0.15);
   }
 
   .site-main {
@@ -142,9 +160,11 @@ const {
       gap: 1rem;
     }
     .nav-links {
-      flex-wrap: wrap;
-      justify-content: center;
-      gap: 1rem;
+      gap: 0.35rem;
+    }
+    .nav-links a {
+      font-size: 0.85rem;
+      padding: 0.35rem 0.65rem;
     }
   }
 

From 70438e61f07b7059a642190899da04f3ec56dd48 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:24:45 +0530
Subject: [PATCH 10/60] feat: add BoutiqueBot project and screenshots for all
 featured projects

---
 .../boutique_bot_screenshot_1786124950528.jpg | Bin 0 -> 643383 bytes
 .../brailleboard_screenshot_1786124966684.jpg | Bin 0 -> 591930 bytes
 .../cricscore_screenshot_1786124994883.jpg    | Bin 0 -> 544817 bytes
 .../notes_app_screenshot_1786125224920.jpg    | Bin 0 -> 632440 bytes
 .../school_admin_screenshot_1786125016041.jpg | Bin 0 -> 616362 bytes
 .../shop_app_screenshot_1786125244408.jpg     | Bin 0 -> 594592 bytes
 src/data/projects.ts                          |  15 ++++++++++
 src/pages/projects.astro                      |  28 +++++++++++++++++-
 8 files changed, 42 insertions(+), 1 deletion(-)
 create mode 100644 public/images/projects/boutique_bot_screenshot_1786124950528.jpg
 create mode 100644 public/images/projects/brailleboard_screenshot_1786124966684.jpg
 create mode 100644 public/images/projects/cricscore_screenshot_1786124994883.jpg
 create mode 100644 public/images/projects/notes_app_screenshot_1786125224920.jpg
 create mode 100644 public/images/projects/school_admin_screenshot_1786125016041.jpg
 create mode 100644 public/images/projects/shop_app_screenshot_1786125244408.jpg

diff --git a/public/images/projects/boutique_bot_screenshot_1786124950528.jpg b/public/images/projects/boutique_bot_screenshot_1786124950528.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..630d8edcbaf4f50f47b6ce7ef3fe9324155f91ac
GIT binary patch
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zPj)#clFClJuYcrr_em~fAJZ}$dU$0N^B{4-to@&n#k!Ej*`)B&G;uH!yn^`
SWRDE`yOmb>S2kgO4*nmqm>U@Y

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HcmV?d00001

diff --git a/src/data/projects.ts b/src/data/projects.ts
index fb77121..5dfccee 100644
--- a/src/data/projects.ts
+++ b/src/data/projects.ts
@@ -4,16 +4,27 @@ export interface Project {
   description: string;
   articleUrl: string;
   repoUrl?: string;
+  image?: string;
   techStack: string[];
 }
 
 export const featuredProjects: Project[] = [
+  {
+    title: "BoutiqueBot - Automated Retail & Telegram E-Commerce Bot",
+    name: "boutiquebot",
+    description: "Automated e-commerce & retail bot with real-time stock notifications, instant order alerts via Telegram, and automated inventory sync.",
+    articleUrl: "https://www.youtube.com/watch?v=LjT4EP2kYHo",
+    repoUrl: "https://github.com/networkandcode/boutique-bot",
+    image: "/images/projects/boutique_bot_screenshot_1786124950528.jpg",
+    techStack: ["Node.js", "Telegram Bot API", "E-Commerce", "Automation"]
+  },
   {
     title: "BrailleBoard Web Application",
     name: "brailleboard",
     description: "Text-to-Braille conversion web application built with Appwrite backend, Next.js frontend, and Web Speech API for accessibility.",
     articleUrl: "https://networkandcode.hashnode.dev/text-to-braille-webpp-with-appwrite-nextjs-and-web-speech-api",
     repoUrl: "https://github.com/networkandcode/brailleboard",
+    image: "/images/projects/brailleboard_screenshot_1786124966684.jpg",
     techStack: ["Next.js", "Appwrite", "Web Speech API", "React"]
   },
   {
@@ -22,6 +33,7 @@ export const featuredProjects: Project[] = [
     description: "Live cricket match scoring app with real-time score updates, match stats, and database management.",
     articleUrl: "https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730",
     repoUrl: "https://github.com/networkandcode/cricscore",
+    image: "/images/projects/cricscore_screenshot_1786124994883.jpg",
     techStack: ["Next.js", "Appwrite", "TailwindCSS", "Node.js"]
   },
   {
@@ -30,6 +42,7 @@ export const featuredProjects: Project[] = [
     description: "Full-stack notes application featuring instant search, dynamic tags, and cloud database persistence.",
     articleUrl: "https://dev.to/networkandcode/notes-app-with-nextjs-2l4g",
     repoUrl: "https://github.com/networkandcode/notes-app",
+    image: "/images/projects/notes_app_screenshot_1786125224920.jpg",
     techStack: ["Next.js", "Serverless", "React", "REST API"]
   },
   {
@@ -38,6 +51,7 @@ export const featuredProjects: Project[] = [
     description: "Comprehensive school administrative dashboard deployed on Linode cloud with student records, attendance, and role-based access.",
     articleUrl: "https://networkandcode.hashnode.dev/school-admin-app-with-nextjs-on-linode",
     repoUrl: "https://github.com/networkandcode/sms",
+    image: "/images/projects/school_admin_screenshot_1786125016041.jpg",
     techStack: ["Next.js", "TypeScript", "Linode Cloud", "Docker"]
   },
   {
@@ -46,6 +60,7 @@ export const featuredProjects: Project[] = [
     description: "E-commerce web application backed by HarperDB NoSQL/SQL database and Next.js frontend rendering.",
     articleUrl: "https://networkandcode.hashnode.dev/online-shop-with-nextjs-and-harperdb",
     repoUrl: "https://github.com/networkandcode/shop",
+    image: "/images/projects/shop_app_screenshot_1786125244408.jpg",
     techStack: ["Next.js", "HarperDB", "GraphQL", "React"]
   }
 ];
diff --git a/src/pages/projects.astro b/src/pages/projects.astro
index 4ccc854..effa0a0 100644
--- a/src/pages/projects.astro
+++ b/src/pages/projects.astro
@@ -24,6 +24,11 @@ import { featuredProjects } from '../data/projects';
     
        
       {featuredProjects.map(proj => (
         
        
+          {proj.image && (
+            
        
+              {`${proj.title}
+            
        
+          )}
           
        
             {proj.name}
             
        
@@ -36,7 +41,7 @@ import { featuredProjects } from '../data/projects';
           
        {proj.description}
        
           
        
             
-              Read Technical Case Study →
+              {proj.articleUrl.includes('youtube') ? 'Watch Demo Video →' : 'Read Case Study →'}
             
             {proj.repoUrl && (
               
@@ -121,6 +126,27 @@ import { featuredProjects } from '../data/projects';
     flex-direction: column;
     justify-content: space-between;
     gap: 1.25rem;
+    overflow: hidden;
+  }
+
+  .card-image-wrapper {
+    width: calc(100% + 3.5rem);
+    margin: -1.75rem -1.75rem 0.5rem -1.75rem;
+    height: 180px;
+    overflow: hidden;
+    background: rgba(15, 23, 42, 0.6);
+    border-bottom: 1px solid var(--border-glass);
+  }
+
+  .project-image {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+    transition: transform 0.4s ease;
+  }
+
+  .project-card:hover .project-image {
+    transform: scale(1.04);
   }
 
   .card-top {

From 229687dafbff9830c7e1207741647960c7748c28 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:26:04 +0530
Subject: [PATCH 11/60] refactor: show contributed repos on github page, remove
 CV from header and featured projects from home page

---
 src/data/githubStats.ts      |  65 ++++++++++++++++++--
 src/layouts/BaseLayout.astro |   1 -
 src/pages/github.astro       | 112 +++++++++++++++++++++++++++++++++--
 src/pages/index.astro        |  30 ----------
 4 files changed, 167 insertions(+), 41 deletions(-)

diff --git a/src/data/githubStats.ts b/src/data/githubStats.ts
index d106f50..0885bb4 100644
--- a/src/data/githubStats.ts
+++ b/src/data/githubStats.ts
@@ -1,17 +1,23 @@
-export interface ContributionStat {
-  year: string;
-  count: number;
-  level: number;
+export interface ContributedRepo {
+  name: string;
+  fullName: string;
+  url: string;
+  description: string;
+  language: string;
+  role: string;
+  stars?: number;
 }
 
 export interface RepoSummary {
   totalRepos: number;
+  contributedReposCount: number;
   topLanguages: { name: string; percentage: number; color: string }[];
   categories: { name: string; count: number }[];
 }
 
 export const githubProfileSummary: RepoSummary = {
   totalRepos: 64,
+  contributedReposCount: 6,
   topLanguages: [
     { name: "JavaScript / TypeScript", percentage: 42, color: "#f97316" },
     { name: "Python", percentage: 28, color: "#fbbf24" },
@@ -26,6 +32,57 @@ export const githubProfileSummary: RepoSummary = {
   ]
 };
 
+export const contributedRepositories: ContributedRepo[] = [
+  {
+    name: "networkandcode.github.io",
+    fullName: "networkandcode/networkandcode.github.io",
+    url: "https://github.com/networkandcode/networkandcode.github.io",
+    description: "Official engineering portfolio & technical notes website built with Astro, TypeScript, and modern responsive styling.",
+    language: "Astro / TypeScript",
+    role: "Maintainer & Lead Developer"
+  },
+  {
+    name: "boutique-bot",
+    fullName: "networkandcode/boutique-bot",
+    url: "https://github.com/networkandcode/boutique-bot",
+    description: "Automated e-commerce & retail bot with real-time stock notifications, instant order alerts via Telegram, and automated inventory sync.",
+    language: "Node.js / JavaScript",
+    role: "Creator & Maintainer"
+  },
+  {
+    name: "brailleboard",
+    fullName: "networkandcode/brailleboard",
+    url: "https://github.com/networkandcode/brailleboard",
+    description: "Text-to-Braille conversion web application built with Appwrite backend, Next.js frontend, and Web Speech API for accessibility.",
+    language: "TypeScript / Next.js",
+    role: "Creator & Lead Developer"
+  },
+  {
+    name: "cricscore",
+    fullName: "networkandcode/cricscore",
+    url: "https://github.com/networkandcode/cricscore",
+    description: "Live cricket match scoring app with real-time score updates, match stats, and database management.",
+    language: "TypeScript / Next.js",
+    role: "Creator & Maintainer"
+  },
+  {
+    name: "notes-app",
+    fullName: "networkandcode/notes-app",
+    url: "https://github.com/networkandcode/notes-app",
+    description: "Full-stack serverless notes application featuring instant search, dynamic tags, and cloud database persistence.",
+    language: "TypeScript / React",
+    role: "Creator & Maintainer"
+  },
+  {
+    name: "sms",
+    fullName: "networkandcode/sms",
+    url: "https://github.com/networkandcode/sms",
+    description: "Comprehensive school administrative dashboard deployed on Linode cloud with student records, attendance, and role-based access.",
+    language: "TypeScript / Next.js",
+    role: "Creator & Maintainer"
+  }
+];
+
 // Generated monthly contribution matrix for activity graph
 export const monthlyContributions = [
   { month: "Jan 2025", count: 48 },
diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index 6839912..c5d9b23 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -20,7 +20,6 @@ const isActive = (path: string) => {
 
 const navItems = [
   { href: '/', label: 'Home' },
-  { href: '/cv', label: 'CV / Resume' },
   { href: '/projects', label: 'Projects' },
   { href: '/accreditations', label: 'Certifications' },
   { href: '/awards', label: 'Awards' },
diff --git a/src/pages/github.astro b/src/pages/github.astro
index 0f33168..a5a3609 100644
--- a/src/pages/github.astro
+++ b/src/pages/github.astro
@@ -1,6 +1,6 @@
 ---
 import BaseLayout from '../layouts/BaseLayout.astro';
-import { githubProfileSummary, monthlyContributions } from '../data/githubStats';
+import { githubProfileSummary, monthlyContributions, contributedRepositories } from '../data/githubStats';
 
 const maxContrib = Math.max(...monthlyContributions.map(m => m.count));
 ---
@@ -9,9 +9,9 @@ const maxContrib = Math.max(...monthlyContributions.map(m => m.count));
   
        
     
        
       
        🐙 Open Source Activity
        
-      
        GitHub Profile & Contributions
        
+      
        Contributed Repositories & Activity
        
       
        
-        Summary of 64+ public repositories, open-source projects, AI/ML agents, and continuous contribution history.
+        Repositories where networkandcode has contributed code, built features, and maintained active projects.
       
        
 
       
        
@@ -21,14 +21,39 @@ const maxContrib = Math.max(...monthlyContributions.map(m => m.count));
             github.com/networkandcode →
           
         
        
-        {githubProfileSummary.totalRepos} Public Repositories
+        {contributedRepositories.length} Contributed Repositories
       
        
     
 
+    
+    
        
+      
        Repositories Contributed To
        
+      
        Direct code contributions, open-source projects, and maintained repositories by networkandcode.
        
+
+      
        
+        {contributedRepositories.map(repo => (
+          
        
+            
        
+              
        
+                📦
+                {repo.fullName}
+              
        
+              {repo.role}
+            
        
+            
        {repo.description}
        
+            
        
+              {repo.language}
+              View Repo →
+            
        
+          
        
+        ))}
+      
        
+    
        
+
     
     
        
       
        
-        
        Contribution Activity Graph (Recent Months)
        
+        
        Contribution Activity Graph
        
         
        Consistent commits across Cloud Native, Observability, and Agentic AI projects.
        
 
         
        
@@ -162,7 +187,82 @@ const maxContrib = Math.max(...monthlyContributions.map(m => m.count));
     margin-bottom: 1.75rem;
   }
 
-  /* Contribution Graph Styling */
+  /* Contributed Repo Cards */
+  .repo-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(320px, 1fr));
+    gap: 1.25rem;
+    margin-bottom: 2rem;
+  }
+
+  .repo-card {
+    display: flex;
+    flex-direction: column;
+    justify-content: space-between;
+    gap: 0.85rem;
+  }
+
+  .repo-card-top {
+    display: flex;
+    justify-content: space-between;
+    align-items: flex-start;
+    gap: 0.5rem;
+  }
+
+  .repo-name-group {
+    display: flex;
+    align-items: center;
+    gap: 0.4rem;
+  }
+
+  .repo-icon {
+    font-size: 1.1rem;
+  }
+
+  .repo-title {
+    font-weight: 700;
+    font-size: 1.05rem;
+    color: var(--text-main);
+  }
+
+  .repo-title:hover {
+    color: var(--accent-blue);
+  }
+
+  .role-badge {
+    background: rgba(56, 189, 248, 0.1);
+    color: var(--accent-blue);
+    border: 1px solid rgba(56, 189, 248, 0.25);
+    font-size: 0.75rem;
+    padding: 0.15rem 0.5rem;
+    border-radius: 6px;
+    white-space: nowrap;
+  }
+
+  .repo-desc {
+    color: var(--text-muted);
+    font-size: 0.9rem;
+    line-height: 1.5;
+  }
+
+  .repo-card-bottom {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    border-top: 1px solid var(--border-glass);
+    padding-top: 0.75rem;
+  }
+
+  .lang-tag {
+    font-size: 0.75rem;
+    color: var(--text-muted);
+  }
+
+  .repo-link {
+    font-size: 0.85rem;
+    font-weight: 600;
+    color: var(--accent-blue);
+  }
   .graph-container {
     display: flex;
     justify-content: space-between;
diff --git a/src/pages/index.astro b/src/pages/index.astro
index 5efa851..f76ca09 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -142,36 +142,6 @@ const totalProjects = featuredProjects.length;
     
        
   
        
 
-  
-  
        
-    
        
-      
        
-        
        
-          
        Featured Projects
        
-          
        Full-stack applications, accessibility tools, and cloud platforms built by Shakir.
        
-        
        
-        View All Projects →
-      
        
-
-      
        
-        {featuredProjects.map(proj => (
-          
        
-            
        
-              {proj.name}
-            
        
-            
        {proj.title}
        
-            
        {proj.description}
        
-            
        
-              {proj.techStack.map(tag => (
-                {tag}
-              ))}
-            
        
-            Read Technical Case Study →
-          
        
-        ))}
-      
        
-    
        
-  
        
 
   
   
        

From 8a840c00a786f283947609445c49e3053ffbe8b8 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:29:39 +0530
Subject: [PATCH 12/60] fix: use actual YouTube and dev.to article screenshots
 for projects

---
 .../images/projects/boutique_bot_screenshot.jpg | Bin 0 -> 9583 bytes
 public/images/projects/cricscore_screenshot.png | Bin 0 -> 53112 bytes
 src/data/projects.ts                            |   4 ++--
 3 files changed, 2 insertions(+), 2 deletions(-)
 create mode 100644 public/images/projects/boutique_bot_screenshot.jpg
 create mode 100644 public/images/projects/cricscore_screenshot.png

diff --git a/public/images/projects/boutique_bot_screenshot.jpg b/public/images/projects/boutique_bot_screenshot.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..ed359cbb396362731a6e992a212f61c53604696c
GIT binary patch
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zzMM1fPv?~9bIOgwo!<8DiyLe^#Ri&%2$wL_DZRA4D8T-+Wj{rI{dFpDFxSA7RcLsJ
zxng*{82QaA#rXj>P=DT{CQ%Gh$o~|FNqky214Mo7{#*DO!v8ErRsk1ab}l!?&hYH4
zrW;dI0sN~0P?G}XY0gCO$=ccV!sC;dIh~<)XB@})d5l1an26{tR?!H9#>zgW^Wjrn
zWW|8P%H<7Mwq^8M!tNX=ZP{OLPJ}BQ>H}|^C~=B74^<2
zr}|VBVvNg?a$mr-^QjM3A|9%`E)A^Q^k?Hpe0ZZVyP2OICefD(QTzEYIY*8TU(lxB
zCLX_U7VN)Ruvi|-@d!2FB+>TXJOQD|Am-1r(!zbxl%S6xaMa)YFvbzTe&}VNAe6Ed
zqNc9^bk>5TqRxYunOIPFA*KWZbfoCmq|Y>$K7bve;w!q9MhgKhuaW>quoaYuP@#Zo
zLI1u|R-c0`P6v0p$wwm=uHm-ueu91{hWYHTYUx{yf`DNZKKbTHO$;)B5faRpDwFC|
zK=O?Dq@h8M>}TrfulCXq^HbFA{Fx7ZkwPcTX`z}aJ=*X+68O477DBz_LidQ2d^1{1{$p$eXb2gBf>{e7;E!60%vlt)I$EJl!cWs^s5jiV-S*JpVnx!PB7CymdaYY
zORlN4mz!_bIBYp}^z3(xgfH-gj+uoVCLV#Q17eS3^c>1n%LC}p0Z`s$q`#(pP!q|F
z()5&=Tv}(~oEYjb7MU3MC41QNAUT6-lji8l
zR?t=^nX`J|dcWm%}sdMv_@AJHhB
zj6g!+(Za|+2?JkhI6nCl2}ZC8kC
z75-G_)n4RCTsuEv16v8Z6QH5X7fGAQC)0mF*B;EX8(bPOBg%rXs6~xpEWG?IeQ%3D
z?H|%c)hT^&8ff`teDRBS6ow}J4STjh%WZ?+cB#W^bKThG?h+v^^MDX{
ziCZ4U?+S`{C2zG0&PG~T2CEVTne8FdRagtm>w9`y)CU)O@u$2>o@_mP8#Sx-HKTVH
zx1ELFHx;I>w4g)WVvjT|epjs%G+FP#6eDffHat>tPne02Y{eTaLOj21+)mI9e6C&a
zN}8DE_fWfSz#b=D=TB5T{wwnR8~%M8*1ddzSt5svGZbz7V)NG2d+~KmN1#pIn}6B+
zgQkzTy4G{wf2f5!b$xtk$jv<|rIZ!?Xm5QuDyrK;vEr2a17UufCH#+TM0(Sd-Ji4d3@a)$w6afH=Ht6yt9m
z`U^isc6EuR(KY@;_qY`lHdP(WYZ?*Gt~6=zM`_M&dC4Bb`dzBpRV9X|`ms3j3+x&w
zYz1*QJn1nc*&bIWiX6V}#*R0fwvq-)l=E(j4{17>TmS77^?oE9G3UR1<^S#9{14;;
B{wx3h

literal 0
HcmV?d00001

diff --git a/src/data/projects.ts b/src/data/projects.ts
index 5dfccee..eb12231 100644
--- a/src/data/projects.ts
+++ b/src/data/projects.ts
@@ -15,7 +15,7 @@ export const featuredProjects: Project[] = [
     description: "Automated e-commerce & retail bot with real-time stock notifications, instant order alerts via Telegram, and automated inventory sync.",
     articleUrl: "https://www.youtube.com/watch?v=LjT4EP2kYHo",
     repoUrl: "https://github.com/networkandcode/boutique-bot",
-    image: "/images/projects/boutique_bot_screenshot_1786124950528.jpg",
+    image: "/images/projects/boutique_bot_screenshot.jpg",
     techStack: ["Node.js", "Telegram Bot API", "E-Commerce", "Automation"]
   },
   {
@@ -33,7 +33,7 @@ export const featuredProjects: Project[] = [
     description: "Live cricket match scoring app with real-time score updates, match stats, and database management.",
     articleUrl: "https://dev.to/networkandcode/cricket-scoring-app-using-appwrite-nextjs-3730",
     repoUrl: "https://github.com/networkandcode/cricscore",
-    image: "/images/projects/cricscore_screenshot_1786124994883.jpg",
+    image: "/images/projects/cricscore_screenshot.png",
     techStack: ["Next.js", "Appwrite", "TailwindCSS", "Node.js"]
   },
   {

From 7cf9da4d7f4218ed6f747691312f09d2439c9871 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:30:25 +0530
Subject: [PATCH 13/60] style: remove Skills link from header navigation

---
 src/layouts/BaseLayout.astro | 1 -
 1 file changed, 1 deletion(-)

diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index c5d9b23..263bf9d 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -25,7 +25,6 @@ const navItems = [
   { href: '/awards', label: 'Awards' },
   { href: '/videos', label: 'Videos' },
   { href: '/github', label: 'GitHub Activity' },
-  { href: '/#skills', label: 'Skills' },
   { href: '/blog', label: 'Blog' },
   { href: '/about', label: 'About' },
 ];

From 2ee1dc3fe008dcc5350a942425e382388a13cb5e Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:31:12 +0530
Subject: [PATCH 14/60] style: move GitHub Activity from header navigation to
 Home page hero actions

---
 src/layouts/BaseLayout.astro | 1 -
 src/pages/index.astro        | 1 +
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index 263bf9d..00801f6 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -24,7 +24,6 @@ const navItems = [
   { href: '/accreditations', label: 'Certifications' },
   { href: '/awards', label: 'Awards' },
   { href: '/videos', label: 'Videos' },
-  { href: '/github', label: 'GitHub Activity' },
   { href: '/blog', label: 'Blog' },
   { href: '/about', label: 'About' },
 ];
diff --git a/src/pages/index.astro b/src/pages/index.astro
index f76ca09..cf30197 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -104,6 +104,7 @@ const totalProjects = featuredProjects.length;
           Open Official CV (Google Doc) →
         
         Explore Projects
+        GitHub Activity
         Certifications
       
        
     
        

From 6f41d8cc903a5d13223fde92dd649ca86c11264f Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:31:46 +0530
Subject: [PATCH 15/60] style: remove accreditations/certifications and awards
 section from homepage

---
 src/pages/index.astro | 39 ---------------------------------------
 1 file changed, 39 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index cf30197..55e1a6d 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -144,46 +144,7 @@ const totalProjects = featuredProjects.length;
   
    
 
 
-  
-  
    
-    
    
-      
    
-        
-        
    
-          
    
-            
    📜 Verified Accreditations
    
-            
    Industry Certifications
    
-            
    Credentialed by Google Cloud, AWS, Grafana, GitHub, Neo4j, and TensorFlow.
    
-            
      
-              {accreditations.slice(0, 5).map(c => (
-                
    • 
-                  • {c.name} ({c.issuer})
-                
      • 
-              ))}
-            
    
-          
    
-          View All 8 Certifications →
-        
    
 
-        
-        
    
-          
    
-            
    🏆 Honors & Awards
    
-            
    Recognitions Vault
    
-            
    21 awards including UST Global Pinnacle Performance & Mphasis Individual Excellence awards.
    
-            
      
-              {awardsAndCertificates.slice(0, 5).map(a => (
-                
    • 
-                  • {a.title} ({a.organization})
-                
      • 
-              ))}
-            
    
-          
    
-          Explore 21 Awards Catalog →
-        
    
-      
    
-    
    
-  
    
 
   
   
    

From 0f3cb8d7d6cc124f893ab5fd6e24a81f72f8362f Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:32:17 +0530
Subject: [PATCH 16/60] style: remove youtube and opensource contributions
 section from homepage

---
 src/pages/index.astro | 47 -------------------------------------------
 1 file changed, 47 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 55e1a6d..293b420 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -146,54 +146,7 @@ const totalProjects = featuredProjects.length;
 
 
 
-  
-  
    
-    
    
-      
    
-        
-        
    
-          
    
-            ▶ YouTube Channel
-            
    @kubetrain Tutorials
    
-            
    30 video tutorials covering Kubernetes, Agentic AI, OpenTelemetry, and Docker.
    
-            
    
-              {youtubeVideos.slice(0, 3).map(v => (
-                
-                  ▶
-                  {v.title}
-                
-              ))}
-            
    
-          
    
-          Watch All 30 Videos →
-        
    
 
-        
-        
    
-          
    
-            🐙 Open Source
-            
    GitHub Contributions
    
-            
    Active contributor across {githubProfileSummary.totalRepos} repositories in TypeScript, Python, and Go.
    
-            
    
-              
    
-                64
-                Public Repos
-              
    
-              
    
-                42%
-                TS / JS
-              
    
-              
    
-                28%
-                Python
-              
    
-            
    
-          
    
-          View GitHub Contribution Graph →
-        
    
-      
    
-    
    
-  
    
 
   
   
    

From 7eda9ba4959999c1a5796c4291be8b974aa4ae0c Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Fri, 7 Aug 2026 23:42:23 +0530
Subject: [PATCH 17/60] style: remove Latest Articles & Engineering Notes
 section from homepage

---
 src/pages/index.astro | 23 -----------------------
 1 file changed, 23 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 293b420..e669810 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -148,30 +148,7 @@ const totalProjects = featuredProjects.length;
 
 
 
-  
-  
    
-    
    
-      
    
-        
    
-          
    Latest Articles & Engineering Notes
    
-          
    Technical guides synced live from dev.to/networkandcode.
    
-        
    
-        All {totalPosts} Articles →
-      
    
 
-      
    
-        {recentPosts.map(post => (
-          
-        ))}
-      
    
-    
    
-  
    
 
 
 

From 323aba0c9224b19f3aaa5433615a3c7c42f2d103 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:02:40 +0530
Subject: [PATCH 28/60] style: link home page metric numbers to their
 respective pages

---
 src/pages/index.astro | 27 +++++++++++++++++++--------
 1 file changed, 19 insertions(+), 8 deletions(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 7320a20..92da6e8 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -73,25 +73,25 @@ const totalProjects = featuredProjects.length;
 
       
       
    
-        
    
+        
           {totalPosts}
           Articles
-        
    
+        
         
    
-        
    
+        
           {totalCerts}
           Certifications
-        
    
+        
         
    
-        
    
+        
           {totalAwards}
           Awards
-        
    
+        
         
    
-        
    
+        
           {totalVideos}
           Video Tutorials
-        
    
+        
       
    
 
       
    
@@ -194,6 +194,17 @@ const totalProjects = featuredProjects.length;
     display: flex;
     flex-direction: column;
     align-items: center;
+    text-decoration: none;
+    transition: transform 0.2s ease;
+  }
+
+  .metric-link:hover {
+    transform: translateY(-2px);
+  }
+
+  .metric-link:hover .metric-num {
+    color: var(--accent-indigo);
+    text-shadow: 0 0 12px var(--glow-indigo);
   }
 
   .metric-num {

From f85d2faa571245df0d2dd018d8c0eda819700426 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:05:27 +0530
Subject: [PATCH 29/60] feat: add Work Achievements page parsed directly from
 CV work experience

---
 src/data/workExperience.ts   |  85 +++++++++++++++++
 src/layouts/BaseLayout.astro |   1 +
 src/pages/achievements.astro | 175 +++++++++++++++++++++++++++++++++++
 3 files changed, 261 insertions(+)
 create mode 100644 src/data/workExperience.ts
 create mode 100644 src/pages/achievements.astro

diff --git a/src/data/workExperience.ts b/src/data/workExperience.ts
new file mode 100644
index 0000000..5a044a9
--- /dev/null
+++ b/src/data/workExperience.ts
@@ -0,0 +1,85 @@
+export interface WorkRole {
+  company: string;
+  role: string;
+  location: string;
+  period: string;
+  highlights: string[];
+}
+
+export const workExperienceAchievements: WorkRole[] = [
+  {
+    company: "UST",
+    role: "Solution Architect I - Enterprise Solutions",
+    location: "Trivandrum, India",
+    period: "Jun 2019 – Present",
+    highlights: [
+      "Led development of AI chatbot with generative and agentic AI capabilities (observability, business insights, web automation, cost analysis with MCP tools and RAG).",
+      "Designed and developed an AI-powered Data Analytics agent with failure handling, retry logic, and improved UX for tool progress messages.",
+      "Built and deployed a FinOps agent with Langfuse integration for cost observability, including Helm-based deployment and Dockerized packaging on AWS.",
+      "Diagnosed and resolved production issues in a Slack-based conversational agent — fixing memory/context retention and message summarization capabilities.",
+      "Set up CDK infrastructure for FinOps cloud resources in AWS (Astra account), following IaC best practices.",
+      "Implemented Slack OAuth MCP for per-user credential management and integrated a Slack Remote MCP Server for seamless MCP framework communication.",
+      "Owned end-to-end development and delivery of microservices integrated with Envoy gateway and OIDC-based authentication with Keycloak.",
+      "Established GitHub Actions-based reusable workflows for application and infrastructure code.",
+      "Led development of observability stacks with 200+ reusable assets; managed Agile projects, mentored teams, and drove knowledge sharing.",
+      "Built OpenTelemetry compatible observability solutions with Helm charts, dashboards, and alerting templates for Grafana, Prometheus, Mimir, Loki, Tempo, and Keycloak on Kubernetes & GCP.",
+      "Implemented executive and operations hierarchical/drilldown dashboards for AKS, Confluent Kafka, APM, and Linux system metrics in Grafana.",
+      "Deployed Confluent Kafka on Kubernetes (CFK), integrated it with LDAPS, enabled RBAC, and implemented traffic routing with Istio in TLS pass-through mode.",
+      "Supported setup of CI/CD with Jenkins and Harness for 30+ microservices and their migration from OpenShift to AKS.",
+      "Provided solution for automated onebox deployments with ArgoCD, Argo Workflows, Helm, Jenkins, and Python.",
+      "Developed Apache Beam Dataflow jobs in Python to ingest data from GCP Pub/Sub to MongoDB.",
+      "Implemented DevOps environment on Azure with Terraform, Jenkins, Spinnaker, Helm, and Kubernetes (AKS)."
+    ]
+  },
+  {
+    company: "Juniper Networks",
+    role: "Product Consultant 3",
+    location: "Bangalore, India",
+    period: "4 Feb 2019 — 14 Jun 2019",
+    highlights: [
+      "Individual technical contributor for drafting LLDs/HLDs, simulating labs on VMM, and assisting ISP customers with deployment & support in testbeds/POCs and Production.",
+      "Executed design, validation, testing, deployment, acceptance testing, knowledge transfer, and post-installation support.",
+      "Installed AppFormix on standalone, Kubernetes, and VMware ESXi platforms.",
+      "Installed Contrail HealthBot in a multi-node environment using Docker Swarm.",
+      "Contributed to internal GIT Wiki with guides on installing HealthBot, AppFormix, and Contrail Networking in OpenStack environments.",
+      "Worked on JunOS Space/ServiceNow project fixing incident generation and SFTP access issues, and upgraded AI scripts on SRX."
+    ]
+  },
+  {
+    company: "Mphasis Ltd",
+    role: "Sr. Principal Infrastructure Engineer",
+    location: "Chennai, India",
+    period: "6 Sep 2016 — 18 Jan 2019",
+    highlights: [
+      "Led a team of 10+ members, managing task assignments, activity reports, performance ratings, and nominations — team contributed 40+ SOPs, 50+ client appreciations, and 20+ monthly awards.",
+      "Implemented LAN & WLAN setups of 50+ sites in APJ & EMEA with varying scopes (new setups, migrations, split-up & mergers, decommissioning).",
+      "Developed Python-based scripts/tools (CLI & GUI using Paramiko, Netmiko, Tkinter, Kivy) for day-to-day tasks: configuration templates, CMDB audits, bulk DNS/ping, and regex config pattern search.",
+      "Utilized multithreading and multiprocessing in Python code to accelerate network script execution time.",
+      "Automated SSH hardening on 3K+ HP Comware devices and TACACS domain/server migration for 5K+ HP Comware/Cisco IOS devices.",
+      "Conducted upskilling sessions on Python for network automation, Linux for networking, NETCONF, and OpenStack administration."
+    ]
+  },
+  {
+    company: "HCL Technologies / BRT India",
+    role: "Sr. Analyst / Sr. Network Engineer",
+    location: "Chennai, India",
+    period: "20 May 2013 — 12 Aug 2016",
+    highlights: [
+      "Part of the Global IT Networks Business Onboarding team: network design, implementation, and project coordination for business expansion, redesign, and migrations.",
+      "Designed end-to-end networks, prepared RFPs, HLDs, LLDs in Visio, and BOMs for LAN/WLAN/WAN inventory and links.",
+      "Implemented Microsoft Azure ExpressRoute setups, IPsec (Client-to-Site / Site-to-Site) / MPLS L3 VPNs, and shared/dedicated LANs.",
+      "Installed and configured new Cisco IOS and Juniper JunOS EX/MX devices, setting up OSPF and BGP routing protocols."
+    ]
+  },
+  {
+    company: "Gecom",
+    role: "Sr. Project Engineer",
+    location: "Bahrain",
+    period: "11 Jan 2010 — 11 Jan 2011",
+    highlights: [
+      "Site survey, installation, commissioning, documentation, maintenance, and support for modems/routers/WAPs/switches, PBX, CCTVs/DVRs, biometric infra, and Clipsal C-Bus intelligent lighting automation.",
+      "Orchestrated Clipsal C-Bus intelligent lighting automation wiring and switch event programming for Ministry projects and World Trade Center maintenance.",
+      "Deployed CCTV & Security Panel systems at ATMs and bank premises."
+    ]
+  }
+];
diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index 9348a8a..c04d3ec 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -20,6 +20,7 @@ const isActive = (path: string) => {
 
 const navItems = [
   { href: '/', label: 'Home' },
+  { href: '/achievements', label: 'Work Achievements' },
   { href: '/projects', label: 'Projects' },
   { href: '/accreditations', label: 'Certifications' },
   { href: '/awards', label: 'Awards' },
diff --git a/src/pages/achievements.astro b/src/pages/achievements.astro
new file mode 100644
index 0000000..2b95c67
--- /dev/null
+++ b/src/pages/achievements.astro
@@ -0,0 +1,175 @@
+---
+import BaseLayout from '../layouts/BaseLayout.astro';
+import { workExperienceAchievements } from '../data/workExperience';
+---
+
+
+  
    
+    
    
+      
    💼 Career Milestones
    
+      
    Work Achievements
    
+      
    
+        Hands-on technical milestones, cloud native deployments, AI engineering, and leadership achievements parsed directly from work experience.
+      
    
+    
    
+
+    
    
+      {workExperienceAchievements.map(job => (
+        
    
+          
    
+            
    
+              {job.company}
+              
    {job.role}
    
+            
    
+            
    
+              {job.period}
+              📍 {job.location}
+            
    
+          
    
+
+          
      
+            {job.highlights.map(item => (
+              
    • 
+                ▹
+                {item}
+              
      • 
+            ))}
+          
    
+        
    
+      ))}
+    
    
+  
    
+    
+
+

From 05c1f43ea2d7381b311e211049d2935e0f3bcf2d Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:07:56 +0530
Subject: [PATCH 30/60] refactor: rename Projects to Side Projects to clearly
 distinguish from work experience

---
 src/layouts/BaseLayout.astro |  2 +-
 src/pages/projects.astro     | 14 +++++++-------
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index c04d3ec..2feefc3 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -21,7 +21,7 @@ const isActive = (path: string) => {
 const navItems = [
   { href: '/', label: 'Home' },
   { href: '/achievements', label: 'Work Achievements' },
-  { href: '/projects', label: 'Projects' },
+  { href: '/projects', label: 'Side Projects' },
   { href: '/accreditations', label: 'Certifications' },
   { href: '/awards', label: 'Awards' },
   { href: '/videos', label: 'Videos' },
diff --git a/src/pages/projects.astro b/src/pages/projects.astro
index effa0a0..c408634 100644
--- a/src/pages/projects.astro
+++ b/src/pages/projects.astro
@@ -3,21 +3,21 @@ import BaseLayout from '../layouts/BaseLayout.astro';
 import { featuredProjects } from '../data/projects';
 ---
 
-
+
   
    
     
    
-      
    🚀 Built Applications
    
-      
    Featured Projects
    
+      
    🚀 Independent Applications
    
+      
    Side Projects
    
       
    
-        Hands-on web applications, accessibility tools, and full-stack projects parsed directly from official credentials.
+        Hands-on web applications, accessibility tools, Telegram bots, and full-stack side projects built independently outside of work.
       
    
 
       
    
         
    
-          
-          BrailleBoard, CricScore, Notes App, School Admin System, and Online Shop.
+          
+          BoutiqueBot, BrailleBoard, CricScore, Notes App, School Admin System, and Online Shop.
         
    
-        {featuredProjects.length} Built Projects
+        {featuredProjects.length} Side Projects
       
    
     
    
 

From a1fef34063675b3c75730470a3d4729436081b6f Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:08:57 +0530
Subject: [PATCH 31/60] style: rename Certifications to Accreditations &
 Certifications across navigation and home page

---
 src/layouts/BaseLayout.astro | 2 +-
 src/pages/index.astro        | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index 2feefc3..c9e1c66 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -22,7 +22,7 @@ const navItems = [
   { href: '/', label: 'Home' },
   { href: '/achievements', label: 'Work Achievements' },
   { href: '/projects', label: 'Side Projects' },
-  { href: '/accreditations', label: 'Certifications' },
+  { href: '/accreditations', label: 'Accreditations & Certifications' },
   { href: '/awards', label: 'Awards' },
   { href: '/videos', label: 'Videos' },
   { href: '/blog', label: 'Blog' },
diff --git a/src/pages/index.astro b/src/pages/index.astro
index 92da6e8..3bc2906 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -80,7 +80,7 @@ const totalProjects = featuredProjects.length;
         
    
         
           {totalCerts}
-          Certifications
+          Accreditations & Certifications
         
         
    
         

From 8fed9bd3648a29d32b8877b097ab945bea19f93e Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:11:26 +0530
Subject: [PATCH 32/60] style: remove DEV.to Partner Profile and Official text
 from blog archive banner

---
 src/pages/blog/index.astro | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/pages/blog/index.astro b/src/pages/blog/index.astro
index f4d26ba..9c3b8d7 100644
--- a/src/pages/blog/index.astro
+++ b/src/pages/blog/index.astro
@@ -60,8 +60,8 @@ const categoriesList = ['All', 'Agentic AI & LLMs', 'Kubernetes', 'Observability
 
       
    
         
    
-          
-          Official articles synced live from dev.to/networkandcode.
+          
+          Synced live from dev.to/networkandcode.
         
    
             
           Visit DEV.to Profile →

From 3d263029520a7c211168e9dad944fee2c71b3683 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:12:06 +0530
Subject: [PATCH 33/60] feat: add letter S SVG favicon for browser tab

---
 public/favicon.svg           | 17 +++++++++--------
 src/layouts/BaseLayout.astro |  1 +
 2 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/public/favicon.svg b/public/favicon.svg
index f157bd1..683f61d 100644
--- a/public/favicon.svg
+++ b/public/favicon.svg
@@ -1,9 +1,10 @@
-
-    
-    
+
+  
+    
+      
+      
+    
+  
+  
+  S
 
diff --git a/src/layouts/BaseLayout.astro b/src/layouts/BaseLayout.astro
index c9e1c66..2ae0945 100644
--- a/src/layouts/BaseLayout.astro
+++ b/src/layouts/BaseLayout.astro
@@ -34,6 +34,7 @@ const navItems = [
   
     
     
+    
     
     
     

From 3cd3b8909e66b7c67057d74e33a8f0941e7ed661 Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:13:31 +0530
Subject: [PATCH 34/60] style: change button label to CV on home page hero

---
 src/pages/index.astro | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/pages/index.astro b/src/pages/index.astro
index 3bc2906..c104c2b 100644
--- a/src/pages/index.astro
+++ b/src/pages/index.astro
@@ -96,7 +96,7 @@ const totalProjects = featuredProjects.length;
 
       
    
         
-          Open CV (Google Doc) →
+          CV →
         
         GitHub Profile →
         LinkedIn →

From 4cb822f36934868ebb228cfb7a2f5c0269dd8cec Mon Sep 17 00:00:00 2001
From: networkandcode 
Date: Sat, 8 Aug 2026 00:26:30 +0530
Subject: [PATCH 35/60] fix: replace project card images with authentic app UI
 screenshots from blog articles

---
 .../projects/brailleboard_screenshot.jpg       | Bin 0 -> 479760 bytes
 .../images/projects/notes_app_screenshot.png   | Bin 0 -> 138788 bytes
 .../projects/school_admin_screenshot.jpg       | Bin 0 -> 519190 bytes
 public/images/projects/shop_app_screenshot.jpg | Bin 0 -> 623645 bytes
 src/data/projects.ts                           |   8 ++++----
 5 files changed, 4 insertions(+), 4 deletions(-)
 create mode 100644 public/images/projects/brailleboard_screenshot.jpg
 create mode 100644 public/images/projects/notes_app_screenshot.png
 create mode 100644 public/images/projects/school_admin_screenshot.jpg
 create mode 100644 public/images/projects/shop_app_screenshot.jpg

diff --git a/public/images/projects/brailleboard_screenshot.jpg b/public/images/projects/brailleboard_screenshot.jpg
new file mode 100644
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