- 🎯 I'm a Cloud Architect and an IT Trainer.
- 👨💻 Get In Touch at k.bindesh@gmail.com
- ⚡ Technology Stack: Public Cloud (AWS, Azure), DevOps, Kubernetes, Salesforce, Python, Cloud Security.
| Category | Technologies |
|---|---|
| Languages | Python, Apex, HTML/CSS |
| Artificial Intelligence | Prompt Engineering, GenAI, GitHub CoPilot, K8sGPT, Checkov AI |
| Public Cloud | AWS, Microsoft Azure |
| Container Tech | Docker, Docker Compose, Kubernetes, Helm, Istio, AgroCD |
| Tools | Git, Docker, Jenkins, GitHub, SonarQube, Nexus |
| CRM | Salesforce |
I belive in Pragmatic Engineering- 12+ years of industry experience translates into building business solutions that prioritizes maintainability, scalability, and strict security over fleeting trends.
Learn by Doing- Every repository here is built to serve a dual purpose → solving real-world automation challenges while functioning as clean, readable reference architecture for the students I train.
Automation-First Mindset- If I have to perform a manual task more than twice, I build a pipeline, write an Ansible playbook, or construct a Terraform module to handle it safely.
Clear Documentation- I treat my lab documents, inline code comments, and technical schemas with the same architectural discipline as the actual codebase.
Continous Feedback Loops- I rely on strict multi-stage container validation, aggressive linting, and automated unit testing inside my CI/CD setups to catch failures early.
| S.No. | Project Name | Description | Tools used | Learning Outcome | Link |
|---|---|---|---|---|---|
| 01 | Create customized cloud infrastructure using Hashicorp Terraform | Focus on provisioning your base cloud infrastructure using code and automating the foundation of your environment | Git/ GitHub, Terraform, Jenkins | You master cloud infrastructure provisioning, state file management, and basic automation | Lab Document |
| 02 | Create an end-to-end Jenkins based CD pipeline for building and deploying Apps on VM | Tie all components together into a single automated pipeline that takes raw code from a developer and drops it smoothly into VM (test/prod) | Git/ GitHub, Jenkins, SonarQube, Nexus, AWS | You will master creating automated CI/CD Pipeline flows for conventional Applications | Lab Document |
| 03 | Create an end-to-end Jenkins based CD pipeline for building and deploying Docker Apps | Tie all components together into a single automated pipeline that takes raw code from a developer and drops it smoothly on Docker Host | Git/ GitHub, Jenkins, SonarQube, Docker, Docker Hub, AWS | You learn how to securely build and deploy containerized application on Docker Host through an automated pipeline | Lab Document |
| 04 | Create an end-to-end Jenkins based CD pipeline for building and deploying Apps on Kubernetes cluster | Tie all components together into a single automated pipeline that takes raw code from a developer and drops it smoothly on Kubernetes cluster | Git/ GitHub, Jenkins, SonarQube, Docker, Docker Hub, eksctl, kubectl, AWS CLI, Kubernetes | You learn how to securely build and deploy containerized application on Kubernetes cluster through an automated pipeline | Lab Document |
| 05 | Automated AI Log Analyzer & Incident Summary Bot | An event-driven pipeline that captures failed build logs in Jenkins, uses an LLM API to diagnose the RC, and automatically trigger alerts with exact, actionable troubleshooting steps | Git/GitHub, Docker, Jenkins, AI (OpenAI API / Claude API), AWS |
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Lab Document |