部署到 Amazon Elastic Container Service

简介

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) when a release is created.

在 GitHub 仓库的每个新版本上，GitHub Actions 工作流程将生成新的容器映像并将其推送到 Amazon ECR，然后将新的任务定义部署到 Amazon ECS。

基本要求

在创建 GitHub Actions 工作流程之前，首先需要对 Amazon ECR 和 ECS 完成以下设置步骤：

1. 创建 Amazon ECR 仓库以存储映像。

   例如，使用 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.

5. Optionally, configure a deployment environment. Environments are used to describe a general deployment target like production, staging, or development. When a GitHub Actions workflow deploys to an environment, the environment is displayed on the main page of the repository. You can use environments to require approval for a job to proceed, restrict which branches can trigger a workflow, or limit access to secrets. For more information about creating environments, see "Using environments for deployment."

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.

If you configured a deployment environment, change the value of environment to be the name of your environment. If you did not configure an environment, delete the environment key.

# 此工作流使用未经 GitHub 认证的操作。
# 它们由第三方提供，并受
# 单独的服务条款、隐私政策和支持
# 文档管理。

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

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

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

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@13d241b293754004c80624b5567555c4a39ffbe3
        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@aaf69d68aa3fb14c1d5a6be9ac61fe15b48453a2

      - 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@97587c9d45a4930bf0e3da8dd2feb2a463cf4a3a
        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@de0132cf8cdedb79975c6d42b77eb7ea193cf28e
        with:
          task-definition: ${{ steps.task-def.outputs.task-definition }}
          service: ${{ env.ECS_SERVICE }}
          cluster: ${{ env.ECS_CLUSTER }}
          wait-for-service-stability: true

其他资源

For the original starter workflow, see aws.yml in the GitHub Actions starter-workflows repository.

有关这些示例中使用的服务的详细信息，请参阅以下文档：

• Amazon AWS 文档中的“IAM 中的安全最佳实践”。
• 正式 AWS“配置 AWS 凭据”操作。
• 正式 AWS Amazon ECR“登录”操作。
• 正式 AWS Amazon ECS“渲染任务定义”操作。
• 正式 AWS Amazon ECS“部署任务定义”操作。