Deploy and manage the STANS system using Docker, Nginx, and CI/CD.
The goal of this project is to deploy and manage the STANS (Smart Traffic-Aware Navigation System) - a React/TypeScript application that calculates optimal routes using graph algorithms. You will learn containerization with Docker, CI/CD automation with GitHub Actions, and production deployment strategies, including security best practices.
You will containerize and deploy this traffic navigation system with proper DevOps practices.
Fork the STANS repository to your GitHub account. Clone it locally and ensure you can run it with:
Create a multi-stage Dockerfile for the STANS application:
Stage 1 : Build the React application ( npm run build )
Stage 2 : Serve the built static files using Nginx
The final Docker image should:
Be optimized for size (use Alpine-based images)
Include proper Nginx configuration for React routing (handle client-side routing)
Not include development dependencies in the final image
Test your Docker image locally:
The containerized application will have Nginx serving the static files inside the container.
Create a GitHub Actions workflow ( .github/workflows/deploy.yml ) that:
Triggers on push to the main branch
Runs basic validation (verify the build completes successfully)
Builds the Docker image
Pushes the image to Docker Hub or GitHub Container Registry
(Optional) Deploys to a remote server using SSH
Configure GitHub Secrets for:
Docker registry credentials
(Optional) SSH keys and server details
Deploy the containerized application to a cloud server:
Set up a Linux server on AWS, DigitalOcean, or another provider
Install Docker on the server
Pull and run your Docker image on the server
Set up SSL/TLS with Let's Encrypt using Certbot (configure Nginx on the host for SSL termination)
Configure the server firewall (allow ports 80, 443, and 22 only)
Ensure the container restarts automatically ( —restart=always )
Monitoring : Add Prometheus and Grafana to monitor container metrics
Logging : Implement centralized logging with ELK stack or similar
Health Checks : Add Docker health checks and configure automatic container restarts
Load Balancing : Deploy multiple instances behind a load balancer
Infrastructure as Code : Use Terraform or Ansible to automate the infrastructure setup
Kubernetes : Deploy the application to a Kubernetes cluster instead of a single server
After completing this project, you will have hands-on experience with containerization, CI/CD pipelines, and production deployment of a modern web application.