Run Spring Boot Docker image on AWS ECS | Amazon Elastic Container Service | JavaTechie

Introduction

This tutorial will guide you through the process of running a Spring Boot microservice Docker image on AWS Elastic Container Service (ECS). By following these steps, you will learn how to deploy your application in a cloud environment, ensuring scalability and reliability.

Step 1: Prepare Your Spring Boot Application

• Ensure you have a Spring Boot application ready for Docker deployment.
• Update your pom.xml file to include the necessary dependencies for Docker. If you are using Spring Boot 2.3.0.M1, make sure your configuration is correct.

Step 2: Create a Dockerfile

• In the root directory of your Spring Boot application, create a file named Dockerfile.

• Add the following content to your Dockerfile:

  FROM openjdk:11-jre-slim
  VOLUME /tmp
  COPY target/your-app-name.jar app.jar
  ENTRYPOINT ["java","-jar","/app.jar"]
  

• Replace your-app-name.jar with the actual name of your JAR file.

Step 3: Build the Docker Image

• Open your terminal and navigate to the root directory of your Spring Boot application.

• Run the following command to build your Docker image:

  docker build -t your-docker-image-name .
  

• Replace your-docker-image-name with a name relevant to your application.

Step 4: Test the Docker Image Locally

• To verify that your Docker image is functioning as expected, run the following command:

  docker run -p 8080:8080 your-docker-image-name
  

• Access the application at http://localhost:8080 in your web browser.

Step 5: Push the Docker Image to a Container Registry

• Log in to Amazon ECR (Elastic Container Registry) using the AWS CLI:

  aws ecr get-login-password --region your-region | docker login --username AWS --password-stdin your-account-id.dkr.ecr.your-region.amazonaws.com
  

• Tag your Docker image for ECR:

  docker tag your-docker-image-name:latest your-account-id.dkr.ecr.your-region.amazonaws.com/your-repo-name:latest
  

• Push the image to ECR:

  docker push your-account-id.dkr.ecr.your-region.amazonaws.com/your-repo-name:latest
  

Step 6: Create an ECS Cluster

• Go to the AWS Management Console and navigate to ECS.
• Click on "Clusters" and then "Create Cluster."
• Select the appropriate cluster template (e.g., EC2 Linux + Networking) and provide a name for your cluster.
• Configure other options (like instance type, number of instances) as needed, then create the cluster.

Step 7: Create a Task Definition

• In the ECS console, go to "Task Definitions" and click on "Create new Task Definition."
• Choose "Fargate" or "EC2" based on your requirements.
• Specify the task definition name and add container details:
  • Container name
  • Image URI (from ECR)
  • Memory and CPU limits
  • Port mappings (e.g., container port 8080)

Step 8: Launch the Service

• After creating the task definition, navigate to your ECS cluster.
• Click on "Services" and then "Create."
• Select the launch type, number of tasks, and service name. Choose the task definition you created earlier.
• Configure load balancer settings if needed, then create the service.

Conclusion

You have successfully deployed a Spring Boot microservice Docker image on AWS ECS. Key takeaways include preparing your application, creating a Dockerfile, building and pushing your Docker image, and configuring ECS to run your service.

Next steps could involve exploring AWS features such as auto-scaling, monitoring, and logging to enhance your application's performance and reliability. For further learning, check the resources provided in the video description.