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How to Deploy Containerized Apps on AWS Using ECR and Docker

Lisa Kudrow
Lisa KudrowOriginal
2025-02-09 12:10:09313browse

Deploying Containerized Applications on AWS: A Step-by-Step Guide

How to Deploy Containerized Apps on AWS Using ECR and Docker

This tutorial walks you through deploying your containerized applications to the scalable and robust platform offered by Amazon Web Services (AWS), leveraging Amazon Elastic Container Service (ECS), Elastic Container Registry (ECR), and Docker.

Step 1: Establishing Your AWS Presence

Before you begin, ensure you have an active AWS account. If not, navigate to the AWS website and create one, providing the necessary personal, billing, and payment details.

Step 2: Setting Up Your Docker Image Repository (ECR)

To store your Docker images, you'll need an ECR repository:

  1. Access the AWS Management Console.
  2. Open the Amazon ECR console.
  3. Select "Repositories."
  4. Choose "Create repository."
  5. Assign a name to your repository and click "Create repository."

Step 3: Uploading Your Docker Images to ECR

Next, push your Docker images to your newly created ECR repository:

  1. Install the AWS Command Line Interface (CLI) on your local machine.
  2. Within the AWS Management Console, navigate to "Users" and create a new user, granting them the permissions required to push images to your ECR repository.
  3. Open your terminal and execute the following commands:
<code class="language-bash">aws configure
aws ecr get-login --no-include-email --region $(aws configure get region) # For Linux/macOS</code>

This generates a Docker login command. Execute this command to authenticate your Docker client with your ECR registry.

  1. Tag your Docker image with the ECR repository URI.
  2. Deploy your image using:
<code class="language-bash">docker push <your_ecr_uri>:<your_image_tag></your_image_tag></your_ecr_uri></code>

Step 4: Defining Your ECS Task

To deploy your containers on AWS, create an ECS task definition:

  1. Access the Amazon ECS console.
  2. From the navigation pane, choose "Task Definitions."
  3. Select "Create new Task Definition."
  4. Choose "EC2 Launch Type."
  5. Name your task definition and specify the Docker image URI.
  6. Configure port mappings (if needed).
  7. Click "Create."

Step 5: Creating Your ECS Cluster

An ECS cluster logically groups your Amazon EC2 instances for task execution:

  1. Open the Amazon ECS console.
  2. Navigate to "Clusters" in the navigation pane.
  3. Choose "Create Cluster."
  4. Select "EC2 Linux Networking."
  5. Name your cluster, selecting a VPC and subnets.
  6. Click "Create."

Step 6: Launching Container Instances

To run container instances, launch an Amazon EC2 instance with appropriate IAM permissions:

  1. In the Amazon EC2 console, choose "Launch Instances."
  2. Select a Docker-compatible Amazon Machine Image (AMI).
  3. Launch the instance within the same VPC and subnets as your ECS cluster.
  4. Assign the necessary IAM role to your instance's IAM profile.
  5. Connect to the instance via SSH.
  6. Use the following commands to integrate the instance into your ECS cluster:
<code class="language-bash">aws configure
aws ecr get-login --no-include-email --region $(aws configure get region) # For Linux/macOS</code>

Step 7: Deploying Your Containers

Finally, create a service to run your containers:

  1. Open the Amazon ECS console.
  2. Select the cluster you created.
  3. Choose "Services" from the navigation pane.
  4. Select "Create."
  5. Provide a service name.
  6. Specify the task definition.
  7. Set the desired number of tasks.
  8. Choose the service launch type.
  9. Click "Create Service."

Your containerized application is now deployed on AWS using ECS! For pre-configured setups with common AWS integrations, explore AWS boilerplates.

Frequently Asked Questions

  • ECR Security: Secure ECR access using IAM, encrypt data at rest and in transit, utilize TLS 1.2 or higher, and regularly audit your configurations.

  • Container Performance Monitoring: Use tools like docker inspect, Prometheus, Grafana, or AWS's built-in monitoring services.

  • Docker Image Build Debugging: Use the docker build --debug flag, consult Docker's official documentation, and leverage Kubernetes logging if applicable.

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