Docker Jenkins CI/CD Pipeline

Overview

This project demonstrates the implementation of a Continuous Integration and Continuous Deployment (CI/CD) pipeline using Jenkins, Docker, GitHub, and Python.

The pipeline automates the process of building, testing, and deploying a containerized Python application whenever code changes are pushed to the GitHub repository.

Features

• Automated build process using Jenkins
• Docker containerization
• GitHub integration
• Continuous Integration workflow
• Automated deployment pipeline
• Reproducible application environment

Tech Stack

• Jenkins
• Docker
• Python
• GitHub
• GitHub Actions

Project Structure

.
├── .github/
│   └── workflows/
├── Dockerfile
├── Jenkinsfile
├── app.py
├── requirements.txt
└── README.md

CI/CD Workflow

1. Developer pushes code to GitHub.
2. Jenkins detects repository changes.
3. Jenkins pulls the latest source code.
4. Application dependencies are installed.
5. Docker image is built.
6. Container is created and deployed.
7. Deployment status is reported.

Pipeline Architecture

Developer
    |
    v
 GitHub Repository
    |
    v
 Jenkins Pipeline
    |
    +----> Build Stage
    |
    +----> Test Stage
    |
    +----> Docker Image Build
    |
    +----> Deployment
    |
    v
 Running Container

Docker Build

Build the Docker image:

docker build -t python-cicd-app .

Run the container:

docker run -p 5000:5000 python-cicd-app

Jenkins Pipeline

The Jenkins pipeline is defined in the Jenkinsfile and automates:

• Source code retrieval
• Build execution
• Docker image creation
• Deployment

Learning Outcomes

Through this project, I gained practical experience in:

• CI/CD concepts
• Jenkins automation
• Docker containerization
• Pipeline orchestration
• DevOps workflow implementation
• GitHub integration

Future Improvements

• Add automated testing
• Deploy to AWS EC2
• Push Docker images to Docker Hub
• Add monitoring and logging
• Implement Kubernetes deployment

Author

Gaurav Singh

B.Tech Computer Science Engineering (Cloud Computing & Virtualization)

AWS Cloud Practitioner | DevOps Enthusiast | Full Stack Developer