Django Notes App - CI/CD Pipeline

A comprehensive DevOps project implementing a complete CI/CD pipeline for a Django-React notes application. Features automated Jenkins pipeline with Docker containerization, multi-container orchestration using Docker Compose, Nginx reverse proxy configuration, MySQL database integration, and automated deployment with health checks and service dependency management.

OVERVIEW

A production-ready CI/CD pipeline implementation for a full-stack Django Notes application, demonstrating enterprise-level DevOps practices. The project showcases end-to-end automation from code commit to production deployment using industry-standard tools and best practices. The infrastructure is built on a multi-container architecture orchestrated with Docker Compose, featuring three core services: a Django REST API backend served with Gunicorn, a MySQL database with persistent volume storage, and an Nginx reverse proxy for load balancing and static file serving. The application uses environment-based configuration management, health checks for service reliability, and wait-for-it scripts to ensure proper service dependency ordering. The Jenkins CI/CD pipeline automates the entire deployment lifecycle through four key stages: automated code checkout from GitHub repository, Docker image building with optimized multi-layer caching, automated push to Docker Hub registry with credential management, and zero-downtime deployment to production servers. The pipeline leverages Jenkins shared libraries for reusable automation functions, ensuring consistency and maintainability across deployments. Key DevOps features include container health monitoring with configurable intervals and retry logic, database migration automation during container startup, static file collection and optimization, network isolation using Docker bridge networks, volume persistence for database data, reverse proxy configuration with proper header forwarding, and comprehensive logging and monitoring capabilities. The project demonstrates proficiency in containerization strategies, infrastructure as code principles, continuous integration and deployment workflows, service orchestration, and production-grade application deployment practices.