?? How to deploy an app on a VPS and automate the process with Docker, GitHub Actions, and AWS ECR! ??

Deploying a production-ready application can be a daunting task, especially when aiming for seamless automation. Today, I'm excited to share a comprehensive guide on how to achieve this using Docker, GitHub Actions, and AWS ECR.

What You'll Learn:

• Preparing Your Server: From installing Docker and Docker Compose to setting up AWS CLI credentials, we'll cover everything you need to get your server ready.
• AWS ECR Setup: Learn how to create a private registry, configure IAM credentials, and integrate AWS ECR with your deployment pipeline.
• Creating the Application Runner Script: Discover how to write a shell script that automates the process of logging into AWS, pulling the latest Docker images, and restarting your services.
• Docker Compose Configuration: Set up a docker-compose.yml file to manage your application and its dependencies like Redis and PostgreSQL.
• Setting Up a Linux Service: Ensure your application restarts automatically by creating a systemd service.
• Nginx Configuration: Use Nginx as a reverse proxy to manage traffic and improve your application's performance and security.
• Build Pipeline with GitHub Actions: Automate the building, tagging, and pushing of Docker images to AWS ECR, and deploy your application with a simple push to your GitHub repository.

Preparing the Server

The first step involves configuring your server for Docker and Docker Compose. This includes installing these tools and setting them up to run as a non-root user. Follow the official installation guides for a smooth setup.

AWS ECR Setup

Using AWS ECR as your Docker registry simplifies the process of storing and retrieving Docker images. Create a private registry, configure IAM credentials, and set up AWS CLI on your server. This will enable you to push and pull Docker images securely.

Application Runner Script

The redeploy.sh script is crucial for automating the deployment process. It logs into AWS, pulls the latest Docker image, and restarts the Docker service. This script ensures that your application is always up-to-date with the latest code changes.

Docker Compose Configuration

Define your application's services and dependencies in a docker-compose.yml file. This setup includes configurations for web, Redis, and PostgreSQL services. Docker Compose will manage the lifecycle of these services, ensuring they work together seamlessly.

Setting Up a Linux Service

Create a systemd service to ensure your application starts automatically with the server. This involves writing a service file and enabling it to run on boot. Systemd will manage the starting and stopping of your application services.

Nginx Configuration

Set up Nginx as a reverse proxy to manage incoming traffic to your application. Configure Nginx to listen on port 80 and forward requests to your application running on a specific port. This setup improves your application's performance and provides additional security features.

Build Pipeline with GitHub Actions

Automate your build and deployment process using GitHub Actions. Create a workflow file that checks out your code, configures AWS credentials, builds and pushes Docker images, and restarts your services via SSH. This pipeline will trigger on every push to the deploy/main branch, ensuring continuous delivery of your application.

Conclusion

By following this guide, you'll be able to deploy your application on a VPS and automate the entire process with Docker, GitHub Actions, and AWS ECR. This approach ensures reliability, scalability, and ease of management for your production applications.

Feel free to reach out if you have any questions or need assistance in implementing this within your organization. I'm here to help you streamline your deployment process, allowing you to focus on your core tasks and unlock the full potential of your applications.

Read the full article here: https://blog.adonissimo.com/how-to-deploy-a-production-app-on-a-vps-and-automate-the-process-with-docker-github-actions-and-aws-ecr

#DevOps #Docker #GitHubActions #AWS #ECR #Automation #VPS #Nginx #Deployment #CI/CD