1. Using aws ecr with elasticbeanstalk

    TypeScript

    To deploy an application using AWS Elastic Beanstalk with a Docker image stored in Amazon Elastic Container Registry (ECR), you need to accomplish several steps:

    1. Create an ECR repository to store your Docker images.
    2. Build and push your Docker image to the ECR repository.
    3. Create an Elastic Beanstalk application.
    4. Create a new application version for Elastic Beanstalk using the Docker image from ECR.
    5. Deploy the application version to an Elastic Beanstalk environment.

    Below is a TypeScript program using Pulumi that sets up the necessary infrastructure for this workflow.

    This program assumes that you have Docker installed and configured on your local machine, as well as AWS credentials configured properly for Pulumi to use.

    import * as aws from "@pulumi/aws"; import * as pulumi from "@pulumi/pulumi"; // Create an ECR Repository to store Docker images. const repo = new aws.ecr.Repository("my-repo", {}); // Grant Elastic Beanstalk access to ECR Repository. const beanstalkRole = new aws.iam.Role("beanstalkRole", { assumeRolePolicy: aws.iam.assumeRolePolicyForPrincipal({ Service: "elasticbeanstalk.amazonaws.com", }), }); new aws.iam.RolePolicyAttachment("beanstalkECRReadOnly", { policyArn: "arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryReadOnly", role: beanstalkRole, }); // Here we would have the code to build and push a Docker image to the ECR repository. // This step usually consists of executing a `docker build` and a `docker push` command, where the Docker image is tagged with the ECR repository URL. // // Replace `DOCKER_IMAGE` with the name of your Docker image and `DOCKER_TAG` with the tag for your image, typically 'latest'. // This step is left as an exercise for the reader, as it is beyond the scope of Pulumi. // `docker build -t ${repo.repositoryUrl}:DOCKER_TAG .` // `aws ecr get-login-password --region us-west-2 | docker login --username AWS --password-stdin ${repo.repositoryUrl}` // `docker push ${repo.repositoryUrl}:DOCKER_TAG` // Create an Elastic Beanstalk Application. const app = new aws.elasticbeanstalk.Application("my-app", {}); // Create a Configuration Template for the Application. const configTemplate = new aws.elasticbeanstalk.ConfigurationTemplate("my-app-config", { application: app.name, solutionStackName: "64bit Amazon Linux 2018.03 v2.15.0 running Docker 18.06.1-ce", // Configure the Docker image in the Elastic Beanstalk Environment. setting: [ { namespace: "aws:elasticbeanstalk:container:docker", name: "ImageName", value: `${repo.repositoryUrl}:DOCKER_TAG`, // Set the image URL with tag. }, { namespace: "aws:elasticbeanstalk:container:docker", name: "Ports", value: "80:80", // Port mapping from host to Docker container. }, ], }); // Create an Elastic Beanstalk Environment to deploy the application version. const env = new aws.elasticbeanstalk.Environment("my-app-env", { application: app.name, templateName: configTemplate.name, settings: [ { namespace: "aws:ec2:vpc", name: "VPCId", value: "vpc-xxxxxx" }, // Specify your VPC ID { namespace: "aws:ec2:vpc", name: "Subnets", value: "subnet-xxxxxx" }, // Specify your subnet IDs // Additional Elastic Beanstalk environment settings, if necessary. ], }); // Output the ECR repository URL and the Elastic Beanstalk Environment endpoint. export const repositoryUrl = repo.repositoryUrl; export const appEndpoint = env.endpointUrl;

    The above Pulumi program defines the following resources:

    • An ECR repository to store your Docker images.
    • An IAM role for Elastic Beanstalk with read-only access to ECR repositories.
    • An Elastic Beanstalk application and a configuration template specifying the Docker image to use and port bindings.
    • An Elastic Beanstalk environment where your application version will be deployed.

    After you replace DOCKER_TAG with your specific tag, vpc-xxxxxx and subnet-xxxxxx with your VPC and subnet identifiers respectively, this program will be able to provision the necessary AWS resources for your Elastic Beanstalk application.

    To execute this Pulumi program, you would first build and push your Docker image to the created ECR repository, then run pulumi up to create the Elastic Beanstalk application and environment. The Docker image is referenced in the configuration template used by Elastic Beanstalk.

    Ensure you have Pulumi installed, your AWS provider is correctly configured, and that you've logged into the Pulumi service before running the program. Once you run it, Pulumi will provide you with details on the created resources, including the repository URL and the Elastic Beanstalk environment endpoint.


  2. Rewrite this program in Python

    Python

    Below is the Pulumi program translated into Python, which sets up an AWS EC2 Container Registry (ECR) repository, an Elastic Beanstalk application, and its environment with appropriate roles and policies.

    import pulumi import pulumi_aws as aws # Create an ECR Repository to store Docker images. repo = aws.ecr.Repository("my-repo") # Grant Elastic Beanstalk access to ECR Repository. beanstalk_role = aws.iam.Role("beanstalkRole", assume_role_policy=aws.iam.get_policy_document( statements=[ aws.iam.GetPolicyDocumentStatementArgs( effect="Allow", principals=[ aws.iam.GetPolicyDocumentStatementPrincipalArgs( type="Service", identifiers=["elasticbeanstalk.amazonaws.com"] ) ], actions=["sts:AssumeRole"] ) ] ).json, ) aws.iam.RolePolicyAttachment("beanstalkECRReadOnly", policy_arn="arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryReadOnly", role=beanstalk_role.name ) # Create an Elastic Beanstalk Application. app = aws.elasticbeanstalk.Application("my-app") # Create a Configuration Template for the Application. config_template = aws.elasticbeanstalk.ConfigurationTemplate("my-app-config", application=app.name, solution_stack_name="64bit Amazon Linux 2018.03 v2.15.0 running Docker 18.06.1-ce", settings=[ aws.elasticbeanstalk.ConfigurationTemplateSettingArgs( namespace="aws:elasticbeanstalk:container:docker", name="ImageName", value=f"{repo.repository_url}:DOCKER_TAG", # Set the image URL with tag. ), aws.elasticbeanstalk.ConfigurationTemplateSettingArgs( namespace="aws:elasticbeanstalk:container:docker", name="Ports", value="80:80", # Port mapping from host to Docker container. ), ] ) # Create an Elastic Beanstalk Environment to deploy the application version. env = aws.elasticbeanstalk.Environment("my-app-env", application=app.name, template_name=config_template.name, settings=[ aws.elasticbeanstalk.EnvironmentSettingArgs( namespace="aws:ec2:vpc", name="VPCId", value="vpc-xxxxxx" # Specify your VPC ID ), aws.elasticbeanstalk.EnvironmentSettingArgs( namespace="aws:ec2:vpc", name="Subnets", value="subnet-xxxxxx" # Specify your subnet IDs ), # Additional Elastic Beanstalk environment settings, if necessary. ] ) # Output the ECR repository URL and the Elastic Beanstalk Environment endpoint. pulumi.export("repositoryUrl", repo.repository_url) pulumi.export("appEndpoint", env.endpoint_url)

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