STANS Navigation System Deployment

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.

Requirements

You will containerize and deploy this traffic navigation system with proper DevOps practices.

Part 1: Fork and Setup

Fork the STANS repository to your GitHub account. Clone it locally and ensure you can run it with:

npm installnpm run dev

Part 2: Containerization

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)

• Expose port 80

• Include proper Nginx configuration for React routing (handle client-side routing)

• Not include development dependencies in the final image

Test your Docker image locally:

docker build -t stans-app .docker run -p 8080:80 stans-app

The containerized application will have Nginx serving the static files inside the container.

Part 3: CI/CD Pipeline

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

Part 4: Production Deployment

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)

Stretch Goals

• 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.