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rakeshjha33/README.md

Hi there, I'm Rakesh Jha 👋

I am a Platform & Site Reliability Engineer focused on building secure, scalable, and automated infrastructure ecosystems. I specialize in Linux internals, container orchestration, GitOps deployment lifecycles, and proactive system telemetry.

  • 🚀 Currently scaling high-fidelity infrastructure sandboxes and optimizing CI/CD test gates.
  • 💡 Deeply passionate about Infrastructure as Code (IaC), zero-downtime release engineering, and systems risk mitigation.

🛠️ Technical Ecosystem

Languages & Scripting Java Python Bash Linux

DevOps & GitOps Docker Kubernetes ArgoCD Jenkins GitHub Actions

Cloud & Infrastructure as Code AWS Terraform Git

Observability & Telemetry Prometheus Grafana

🚀 Featured Sandbox Architectures & Repositories

1. Automated GitOps Engine & Verified Release Pipeline

An automated delivery framework handling multi-stage syntax compilation, structural code linting, and automated verification gates.

  • Impact: Integrated declarative reconciliation loops using ArgoCD to synchronize live cluster states with repository manifests, systematically preventing manual environment drift.
  • Tech Stack: ArgoCD, Jenkins, GitHub Actions, Docker, Git

2. Multi-Container Platform Isolation & Observability System

A containerized decoupled microservices network designed to maximize security boundaries and provide end-to-end infrastructure visibility.

  • Impact: Implemented custom virtual network bridges to eliminate public host interface exposure, and configured Prometheus/Grafana metrics dashboards to track compute resource thresholds under simulated load.
  • Tech Stack: Kubernetes, Docker Compose, Python, Prometheus, Grafana

3. Infrastructure Sandbox & Resource Governance Platform

A risk-averse, production-grade staging environment built to validate application scalability and cloud asset metrics with zero production footprint.

  • Impact: Leveraged Terraform to provision isolated compute clusters, deploying custom automated Python telemetry daemons to detect resource bottlenecks and route alerts to communication channels.
  • Tech Stack: Terraform, AWS/Cloud Compute, Linux Utilities, Grafana Cloud

📊 Let's Connect!

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  1. aws-cloud-resource-monitor aws-cloud-resource-monitor Public

    AWS-Cloud-Resource Monitoring

    CSS 1

  2. aws-three-tier-vpc aws-three-tier-vpc Public

    A production-grade AWS infrastructure featuring a custom VPC, private subnets, an Auto Scaling Group, and an Application Load Balancer.

    HTML 1

  3. Automated-GitOps-Engine-CI-CD-Release-Pipeline Automated-GitOps-Engine-CI-CD-Release-Pipeline Public

    In This project I am using Jenkins for Continous Integration and Argo CD for Continous deployment of a simple python todo application.

    Python 1

  4. Multi-Container-Platform-Isolation-and-Microservices-Network Multi-Container-Platform-Isolation-and-Microservices-Network Public

    Containerized a decoupled software application ecosystem.

    JavaScript 1