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Deploying to Amazon Elastic Container Service

You can deploy to Amazon Elastic Container Service (ECS) as part of your continuous deployment (CD) workflows.

GitHub Actions se encuentra disponible con GitHub Free, GitHub Pro, GitHub Free para organizaciones, GitHub Team, GitHub Enterprise Cloud, y GitHub One. GitHub Actions no se encuentra disponible para repositorios privados que pertenezcan a cuentas que utilicen planes tradicionales por repositorio. Para obtener más información, consulta la sección "Productos de GitHub".

En este artículo

Introduction

This guide explains how to use GitHub Actions to build a containerized application, push it to Amazon Elastic Container Registry (ECR), and deploy it to Amazon Elastic Container Service (ECS).

On every new release in your GitHub repository, the GitHub Actions workflow builds and pushes a new container image to Amazon ECR, and then deploys a new task definition to Amazon ECS.

Prerequisites

Before creating your GitHub Actions workflow, you will first need to complete the following setup steps for Amazon ECR and ECS:

  1. Create an Amazon ECR repository to store your images.

    For example, using the AWS CLI:

    Shell
    aws ecr create-repository \
        --repository-name MY_ECR_REPOSITORY \
        --region MY_AWS_REGION

    Ensure that you use the same Amazon ECR repository name (represented here by MY_ECR_REPOSITORY) for the ECR_REPOSITORY variable in the workflow below.

    Ensure that you use the same AWS region value for the AWS_REGION (represented here by MY_AWS_REGION) variable in the workflow below.

  2. Create an Amazon ECS task definition, cluster, and service.

    For details, follow the Getting started wizard on the Amazon ECS console, or the Getting started guide in the Amazon ECS documentation.

    Ensure that you note the names you set for the Amazon ECS service and cluster, and use them for the ECS_SERVICE and ECS_CLUSTER variables in the workflow below.

  3. Store your Amazon ECS task definition as a JSON file in your GitHub repository.

    The format of the file should be the same as the output generated by:

    Shell
    aws ecs register-task-definition --generate-cli-skeleton

    Ensure that you set the ECS_TASK_DEFINITION variable in the workflow below as the path to the JSON file.

    Ensure that you set the CONTAINER_NAME variable in the workflow below as the container name in the containerDefinitions section of the task definition.

  4. Create GitHub Actions secrets named AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY to store the values for your Amazon IAM access key.

    For more information on creating secrets for GitHub Actions, see "Encrypted secrets."

    See the documentation for each action used below for the recommended IAM policies for the IAM user, and methods for handling the access key credentials.

Creating the workflow

Once you've completed the prerequisites, you can proceed with creating the workflow.

The following example workflow demonstrates how to build a container image and push it to Amazon ECR. It then updates the task definition with the new image ID, and deploys the task definition to Amazon ECS.

Ensure that you provide your own values for all the variables in the env key of the workflow.

YAML
name: Deploy to Amazon ECS

on:
  release:
    types: [ created ]

env:
  AWS_REGION: MY_AWS_REGION                   # set this to your preferred AWS region, e.g. us-west-1
  ECR_REPOSITORY: MY_ECR_REPOSITORY           # set this to your Amazon ECR repository name
  ECS_SERVICE: MY_ECS_SERVICE                 # set this to your Amazon ECS service name
  ECS_CLUSTER: MY_ECS_CLUSTER                 # set this to your Amazon ECS cluster name
  ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # set this to the path to your Amazon ECS task definition
                                               # file, e.g. .aws/task-definition.json
  CONTAINER_NAME: MY_CONTAINER_NAME           # set this to the name of the container in the
                                               # containerDefinitions section of your task definition

defaults:
  run:
    shell: bash

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v2

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v1
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: ${{ env.AWS_REGION }}

      - name: Login to Amazon ECR
        id: login-ecr
        uses: aws-actions/amazon-ecr-login@v1

      - name: Build, tag, and push image to Amazon ECR
        id: build-image
        env:
          ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
          IMAGE_TAG: ${{ github.sha }}
        run: |
          # Build a docker container and
          # push it to ECR so that it can
          # be deployed to ECS.
          docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
          docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
          echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"

      - name: Fill in the new image ID in the Amazon ECS task definition
        id: task-def
        uses: aws-actions/amazon-ecs-render-task-definition@v1
        with:
          task-definition: ${{ env.ECS_TASK_DEFINITION }}
          container-name: ${{ env.CONTAINER_NAME }}
          image: ${{ steps.build-image.outputs.image }}

      - name: Deploy Amazon ECS task definition
        uses: aws-actions/amazon-ecs-deploy-task-definition@v1
        with:
          task-definition: ${{ steps.task-def.outputs.task-definition }}
          service: ${{ env.ECS_SERVICE }}
          cluster: ${{ env.ECS_CLUSTER }}
          wait-for-service-stability: true

Additional resources

For more information on the services used in these examples, see the following documentation:

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