Deploying Java Spring Apps with Docker & AWS ECS: Beyond the Basics

Deploying Java Spring Apps with Docker & AWS ECS: Beyond the Basics

After exploring AWS API Gateway, Lambda, and EC2, let’s dive into containerizing Java Spring apps with Docker and deploying them at scale using Amazon ECS (Elastic Container Service). No “Hello World” here—let’s tackle real-world scenarios!


Why Docker + ECS?

  • Consistency: Docker ensures your Spring app runs the same in dev, test, and production.
  • Scalability: ECS automates scaling and manages clusters of containers.
  • Hybrid-Ready: Integrates seamlessly with API Gateway, ALB, and RDS.


Step 1: Dockerize a Spring Boot App (Production-Ready)

Let’s containerize a Spring app with a PostgreSQL dependency.

1. Dockerfile (Multi-stage build for lean images):


2. docker-compose.yml (Local dev with DB):


Key Tips:

  • Use .dockerignore to exclude build files.
  • Always pin versions (e.g., postgres:14, not postgres:latest).


Step 2: Deploy to AWS ECS

1. Push to ECR (Elastic Container Registry):


2. Create an ECS Task Definition:


3. Set Up ECS Cluster & Service:

  • Use Fargate to avoid managing EC2 instances.
  • Attach a load balancer (ALB) to route traffic to containers.
  • Integrate with RDS for managed PostgreSQL.


Step 3: Connect to API Gateway

Recall our previous API Gateway setup! Instead of Lambda or EC2, route traffic to the ECS service via the ALB:

  1. Create a VPC Link in API Gateway for private integration.
  2. Add a New Route (e.g., /ecs/orders) pointing to the ALB.
  3. Secure with JWT: Reuse your Cognito authorizer from earlier.


Advanced Tips

CI/CD Pipeline:

  • Use AWS CodePipeline + CodeBuild to automate Docker image builds on Git push.

Monitoring:

  • Enable CloudWatch Container Insights for ECS.
  • Track API Gateway metrics (4xx/5xx errors) linked to ECS.

Cost Optimization:

  • Scale ECS tasks based on CPU/memory usage.
  • Use Spot Instances for non-critical tasks.


When to Choose ECS Over Lambda/EC2?

  • ECS: Long-running apps with complex dependencies (e.g., Spring + Redis + DB).
  • Lambda: Event-driven, short-lived tasks (e.g., image processing).
  • EC2: Full control over OS or legacy apps not yet containerized.


Final Thoughts

Combining Docker, ECS, and Spring lets you deploy scalable, portable Java apps while leveraging AWS’s fully managed ecosystem. Paired with API Gateway, this becomes a powerhouse for microservices architectures.

Your Turn! Have you used ECS for Java workloads? What challenges did you face? Let’s chat below! ??

#AWS #Docker #Java #SpringBoot #CloudComputing

Fabricio Dorneles

Senior Front-end Developer | React - NextJS - Typescript - NodeJS - AWS

1 周

Great Insights! Thanks for the content!

Gabriel Levindo

Android Developer | Mobile Software Engineer | Kotlin | Jetpack Compose | XML

1 周

Great content!! Thanks for sharing!!

Paulo Henrique Oliveira dos Santos

Software Engineer | React | Node

1 周

I appreciate this, Fabio

Eduardo Neto

Senior Fullstack Developer | Java, Angular & React Specialist | Oracle & AWS Certified

1 周

Love this insight!

Julio César

Senior Software Engineer | Java | Spring Boot | React | Angular | AWS | APIs

1 周

Excellent Resume!

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