Deploying Containerized Apps to AWS with Docker and CI/CD
A practical guide to deploying Docker containers on AWS with automated pipelines, from development to production.
Deploying applications consistently across different environments is one of the biggest challenges in software development. Docker containers solve this by packaging your application with all its dependencies. Here's how I set up a complete CI/CD pipeline for AWS deployments.
The Docker Setup
Every project starts with a well-crafted Dockerfile. For Node.js applications, I use multi-stage builds to keep the final image small:
The first stage installs all dependencies and builds the application. The second stage only copies the built artifacts, resulting in images that are 80% smaller.
AWS Architecture
For most applications, I use the following AWS services:
- **ECS Fargate**: Serverless container orchestration
- **ECR**: Private container registry
- **Application Load Balancer**: Traffic distribution and SSL termination
- **RDS**: Managed PostgreSQL database
- **ElastiCache**: Redis for caching and sessions
CI/CD Pipeline
Using GitHub Actions, the pipeline runs on every push:
- **Test**: Run unit and integration tests
- **Build**: Create Docker image with git SHA as tag
- **Push**: Upload to Amazon ECR
- **Deploy**: Update ECS service with new image
Zero-Downtime Deployments
ECS rolling deployments ensure zero downtime. The new containers must pass health checks before old containers are terminated. I configure minimum healthy percent at 100% and maximum at 200% for smooth transitions.
Monitoring and Alerts
CloudWatch collects logs and metrics. I set up alarms for: - CPU and memory utilization above 80% - Error rate exceeding 1% - Response time above 500ms
This setup has served me well across multiple projects, handling everything from startups to enterprise applications.
David Sampson
Senior Full Stack Engineer