This project demonstrates the design and implementation of a secure, end-to-end CI/CD pipeline using open-source DevSecOps tools, all running locally on a single Ubuntu server. The pipeline is fully containerized using Docker and Docker Compose, with Jenkins orchestrating automation, SonarQube performing static code analysis, and Trivy scanning container images and dependencies for vulnerabilities. The entire setup operates without cloud services or paid tools, providing a cost-free yet production-style DevSecOps learning environment.

This project demonstrates the complete CI/CD automation and deployment of a FullStack Blogging Application built with Spring Boot. The application is deployed on Amazon Elastic Kubernetes Service (EKS) using Terraform for Infrastructure as Code (IaC). The pipeline is managed through Jenkins and integrates with SonarQube for code quality checks, Nexus for artifact management, and Trivy for container image security scanning. The project also incorporates Prometheus and Grafana for monitoring and observability, delivering a production-ready DevOps workflow aligned with enterprise best practices.

This project demonstrates building and deploying a scalable 3-tier microservice-based Voting App using Azure DevOps CI/CD pipelines and ArgoCD GitOps workflows on Azure Kubernetes Service (AKS). The project covers end-to-end automation, from local development with Docker Compose to production-ready Kubernetes deployments, leveraging Azure’s cloud-native services and infrastructure best practices.

This project demonstrates how to deploy a full-stack, production-grade 3-tier application on AWS EKS using real-world components and best practices. The application stack includes a React frontend, Flask backend, and PostgreSQL database, deployed with high availability and secure cloud infrastructure.

This project focuses on building a robust CI/CD pipeline for deploying a Java-based application on Kubernetes. It demonstrates key DevOps principles including containerization, orchestration, and automation using industry-standard tools.

This project demonstrates a complete DevOps workflow for deploying a multi-tier application in a local environment. It covers containerization, orchestration, CI/CD integration, and essential DevOps practices to simulate production-like deployments locally.