Using aws ecr with codepipeline

Question

Pulumi · Accepted Answer

When integrating AWS Elastic Container Registry (ECR) with AWS CodePipeline, the basic idea is to create a continuous delivery pipeline that automates the build and deployment process for a Docker-based application hosted in an ECR repository. AWS ECR is a Docker container registry service that allows for easy storage, management, and deployment of Docker container images, while AWS CodePipeline is a continuous delivery service that automates the software release process.

In typical usage, you would:

Push the source code to a version-controlled source repository like AWS CodeCommit or GitHub.
Use AWS CodeBuild to build a Docker image from the source code and push it to AWS ECR.
Create a deployment pipeline in AWS CodePipeline which triggers when changes are committed to the source repository.
Define stages in AWS CodePipeline, including:
- Source: Where the source code is fetched from.
- Build/ Test: Where the application is built, and tests are run.
- Deploy: Where the application is deployed to the AWS service such as AWS ECS.

Below is a Pulumi program written in TypeScript that demonstrates how to create an AWS ECR repository and set up a basic CodePipeline for a Docker-based application.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Create an AWS ECR repository to store Docker images.
const repo = new aws.ecr.Repository("my-repo", {
    // Pulumi will auto-name the resource, but you can specify a name with `name: "my-custom-name"`
    imageScanningConfiguration: { scanOnPush: true }, // Enabling image scanning for vulnerabilities.
});

// AWS CodeBuild project to build and push the Docker image to ECR.
const project = new aws.codebuild.Project("my-project", {
    // Define the environment where the build will take place
    environment: {
        computeType: "BUILD_GENERAL1_SMALL", // Choose the compute size for the build environment
        image: "aws/codebuild/standard:4.0", // Use a pre-defined build image
        type:  "LINUX_CONTAINER", // Type of build environment
        privilegedMode: true, // Enable this flag to build Docker images
        // Environment variables can be provided to the build here
    },
    // Source configuration (e.g., from a CodeCommit repo or GitHub)
    source: {
        type: "CODECOMMIT",
        location: "<CODECOMMIT_REPO_URL>", // Replace with the actual CodeCommit repo URL
    },
    // Define the buildspec, either inline or by providing the path to the buildspec file
    buildspec: `
version: 0.2
phases:
  pre_build:
    commands:
      - echo Logging in to Amazon ECR...
      - aws ecr get-login-password --region ${aws.config.region} | docker login --username AWS --password-stdin ${repo.repositoryUrl}
  build:
    commands:
      - echo Build started on `date`
      - echo Building the Docker image...
      - docker build -t ${repo.name} .
      - docker tag ${repo.name}:latest ${repo.repositoryUrl}:latest
  post_build:
    commands:
      - echo Build completed on `date`
      - echo Pushing the Docker image...
      - docker push ${repo.repositoryUrl}:latest
artifacts:
  files:
    - '**/*'
`,
    // You can provide a service role here or it will be auto-created
});

// Creating a CodePipeline to manage builds and deployments
const pipeline = new aws.codepipeline.Pipeline("my-pipeline", {
    roleArn: "<ROLE_FOR_CODEPIPELINE>", // Specify the ARN of an existing IAM role that CodePipeline can use or create a new role
    artifactStores: [{
        location: "<BUCKET_NAME>", // The name of the S3 bucket where artifacts are stored
        region: aws.config.region,
        type: "S3",
    }],
    stages: [
        {
            name: "Source",
            actions: [{
                name: "Source",
                category: "Source",
                // ...

                // Add more configuration and actions as needed for the source stage
            }],
        },
        {
            name: "Build",
            actions: [{
                // ...

                // Add configuration for the build action, which uses the AWS CodeBuild project defined above
            }],
        },
        {
            // Define additional stages such as 'Test' and 'Deploy' according to your needs
        },
    ],
    // ...
    // Additional pipeline settings would go here
});

// Export the names of the resources
export const repositoryName = repo.name;
export const repositoryUrl = repo.repositoryUrl;
export const codebuildProjectName = project.name;
export const codepipelineName = pipeline.name;

This code does the following:

Defines an AWS ECR repository called my-repo.
Creates an AWS CodeBuild project called my-project to build a Docker image and push it to the defined ECR repository. It uses an environment suitable for building Docker images and includes a build specification (buildspec).
Sets up an AWS CodePipeline called my-pipeline, which orchestrates the build and deployment process. The pipeline stages are placeholders in this example, and you would need to configure them according to your source repository, build, and deployment needs.

Make sure to replace placeholder values (e.g., <CODECOMMIT_REPO_URL>, <ROLE_FOR_CODEPIPELINE>, <BUCKET_NAME>) with actual values from your AWS environment. You'll also need to add action configurations for each stage.

Before running this program, authenticate to your AWS account and configure Pulumi with appropriate credentials, if you haven't already done so. Additionally, create the necessary resources (like IAM roles and S3 buckets) and permissions required for CodeBuild and CodePipeline if they don't already exist.