AWS Elastic Beanstalk Multi-Container Docker Example: A Step-by-Step Guide

AWS Elastic Beanstalk simplifies the deployment and management of applications in the cloud. When combined with Docker, it becomes a powerful platform for deploying multi-container applications. This article provides a practical example of deploying a multi-container Docker application using AWS Elastic Beanstalk.


What Is AWS Elastic Beanstalk?

AWS Elastic Beanstalk is a managed service that:

  • Automates the provisioning of infrastructure.
  • Deploys and manages applications in various programming languages and environments.
  • Provides built-in support for Docker, including multi-container setups.

AWS Elastic Beanstalk Multi-Container Docker Example

Objective

We’ll deploy a multi-container application consisting of:

  1. A simple Node.js web server.
  2. A Redis container for caching.

Step 1: Prepare the Multi-Container Application

Directory Structure

Create the following directory structure:

multi-container-app/
├── Dockerfile
├── docker-compose.yml
└── app/
    └── index.js

Node.js Application

Create the index.js file in the app/ directory:

const express = require('express');
const redis = require('redis');

const app = express();
const client = redis.createClient({
  host: 'redis', // Docker service name
  port: 6379,
});

app.get('/', (req, res) => {
  client.incr('visits', (err, visits) => {
    if (err) return res.status(500).send('Error connecting to Redis');
    res.send(`Number of visits: ${visits}`);
  });
});

app.listen(3000, () => {
  console.log('Server is running on port 3000');
});

Dockerfile

Create the Dockerfile for the Node.js application:

FROM node:14
WORKDIR /usr/src/app
COPY app/ .
RUN npm install express redis
EXPOSE 3000
CMD ["node", "index.js"]

Docker Compose File

Create the docker-compose.yml file in the root directory:

version: '3'
services:
  web:
    build: .
    ports:
      - "80:3000"
    links:
      - redis
  redis:
    image: "redis:alpine"

Step 2: Initialize Elastic Beanstalk Environment

Install Elastic Beanstalk CLI

Ensure you have the AWS Elastic Beanstalk CLI installed:

pip install awsebcli

Initialize Elastic Beanstalk Project

Run the following command in the multi-container-app/ directory:

eb init
  • Application Name: Enter a name (e.g., multi-container-app).
  • Platform: Choose Docker.
  • Region: Select your preferred AWS region.

Step 3: Deploy the Multi-Container Application

Create an Environment

Run the following command to create an environment:

eb create multi-container-env

Deploy the Application

Once the environment is ready, deploy the application:

eb deploy

Verify Deployment

  1. Navigate to the Elastic Beanstalk Console.
  2. Find the URL of your environment and access it in your browser.
  3. You should see a message displaying the number of visits, powered by the Redis container.

Step 4: Monitor and Manage the Environment

Monitor the Application

  1. Use the Elastic Beanstalk dashboard to view health metrics.
  2. Access logs for debugging and troubleshooting.

Update the Application

Make changes to your application, then redeploy:

eb deploy

Terminate the Environment

To save costs when the environment is no longer needed:

eb terminate multi-container-env

Benefits of Using Elastic Beanstalk for Multi-Container Applications

  1. Simplified Management:
    • Automates resource provisioning, load balancing, and scaling.
  2. Seamless Integration:
    • Works well with AWS services like RDS, CloudWatch, and IAM.
  3. Support for Docker Compose:
    • Easily deploy and manage multi-container applications.

Best Practices

  1. Optimize Docker Images:
    • Use lightweight base images to minimize build time and resource usage.
  2. Monitor Costs:
    • Regularly review environment usage to optimize costs.
  3. Enable Logging:
    • Use AWS CloudWatch for centralized log monitoring.
  4. Secure Resources:
    • Apply IAM roles to restrict access to AWS resources.

Conclusion

AWS Elastic Beanstalk simplifies the deployment of multi-container Docker applications, enabling seamless scaling and management. This example demonstrated deploying a Node.js application with a Redis container. By leveraging Elastic Beanstalk’s automation capabilities, you can focus on building applications while AWS handles the infrastructure.