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The CDK Construct Library for AWS::AppRunner

Project description

AWS::AppRunner Construct Library

---

cdk-constructs: Experimental

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


This module is part of the AWS Cloud Development Kit project.

import aws_cdk.aws_apprunner_alpha as apprunner

Introduction

AWS App Runner is a fully managed service that makes it easy for developers to quickly deploy containerized web applications and APIs, at scale and with no prior infrastructure experience required. Start with your source code or a container image. App Runner automatically builds and deploys the web application and load balances traffic with encryption. App Runner also scales up or down automatically to meet your traffic needs. With App Runner, rather than thinking about servers or scaling, you have more time to focus on your applications.

Service

The Service construct allows you to create AWS App Runner services with ECR Public, ECR or Github with the source property in the following scenarios:

  • Source.fromEcr() - To define the source repository from ECR.
  • Source.fromEcrPublic() - To define the source repository from ECR Public.
  • Source.fromGitHub() - To define the source repository from the Github repository.
  • Source.fromAsset() - To define the source from local asset directory.

The Service construct implements IGrantable.

ECR Public

To create a Service with ECR Public:

apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    )
)

ECR

To create a Service from an existing ECR repository:

import aws_cdk.aws_ecr as ecr


apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr(
        image_configuration=apprunner.ImageConfiguration(port=80),
        repository=ecr.Repository.from_repository_name(self, "NginxRepository", "nginx"),
        tag_or_digest="latest"
    )
)

To create a Service from local docker image asset directory built and pushed to Amazon ECR:

You can specify whether to enable continuous integration from the source repository with the autoDeploymentsEnabled flag.

import aws_cdk.aws_ecr_assets as assets


image_asset = assets.DockerImageAsset(self, "ImageAssets",
    directory=path.join(__dirname, "docker.assets")
)
apprunner.Service(self, "Service",
    source=apprunner.Source.from_asset(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        asset=image_asset
    ),
    auto_deployments_enabled=True
)

GitHub

To create a Service from the GitHub repository, you need to specify an existing App Runner Connection.

See Managing App Runner connections for more details.

apprunner.Service(self, "Service",
    source=apprunner.Source.from_git_hub(
        repository_url="https://github.com/aws-containers/hello-app-runner",
        branch="main",
        configuration_source=apprunner.ConfigurationSourceType.REPOSITORY,
        connection=apprunner.GitHubConnection.from_connection_arn("CONNECTION_ARN")
    )
)

Use codeConfigurationValues to override configuration values with the API configuration source type.

apprunner.Service(self, "Service",
    source=apprunner.Source.from_git_hub(
        repository_url="https://github.com/aws-containers/hello-app-runner",
        branch="main",
        configuration_source=apprunner.ConfigurationSourceType.API,
        code_configuration_values=apprunner.CodeConfigurationValues(
            runtime=apprunner.Runtime.PYTHON_3,
            port="8000",
            start_command="python app.py",
            build_command="yum install -y pycairo && pip install -r requirements.txt"
        ),
        connection=apprunner.GitHubConnection.from_connection_arn("CONNECTION_ARN")
    )
)

IAM Roles

You are allowed to define instanceRole and accessRole for the Service.

instanceRole - The IAM role that provides permissions to your App Runner service. These are permissions that your code needs when it calls any AWS APIs. If not defined, a new instance role will be generated when required.

To add IAM policy statements to this role, use addToRolePolicy():

import aws_cdk.aws_iam as iam


service = apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    )
)

service.add_to_role_policy(iam.PolicyStatement(
    effect=iam.Effect.ALLOW,
    actions=["s3:GetObject"],
    resources=["*"]
))

accessRole - The IAM role that grants the App Runner service access to a source repository. It's required for ECR image repositories (but not for ECR Public repositories). If not defined, a new access role will be generated when required.

See App Runner IAM Roles for more details.

Auto Scaling Configuration

To associate an App Runner service with a custom Auto Scaling Configuration, define autoScalingConfiguration for the service.

auto_scaling_configuration = apprunner.AutoScalingConfiguration(self, "AutoScalingConfiguration",
    auto_scaling_configuration_name="MyAutoScalingConfiguration",
    max_concurrency=150,
    max_size=20,
    min_size=5
)

apprunner.Service(self, "DemoService",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    auto_scaling_configuration=auto_scaling_configuration
)

VPC Connector

To associate an App Runner service with a custom VPC, define vpcConnector for the service.

import aws_cdk.aws_ec2 as ec2


vpc = ec2.Vpc(self, "Vpc",
    ip_addresses=ec2.IpAddresses.cidr("10.0.0.0/16")
)

vpc_connector = apprunner.VpcConnector(self, "VpcConnector",
    vpc=vpc,
    vpc_subnets=vpc.select_subnets(subnet_type=ec2.SubnetType.PUBLIC),
    vpc_connector_name="MyVpcConnector"
)

apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    vpc_connector=vpc_connector
)

VPC Ingress Connection

To make your App Runner service private and only accessible from within a VPC use the isPubliclyAccessible property and associate it to a VpcIngressConnection resource.

To set up a VpcIngressConnection, specify a VPC, a VPC Interface Endpoint, and the App Runner service. Also you must set isPubliclyAccessible property in ther Service to false.

For more information, see Enabling Private endpoint for incoming traffic.

import aws_cdk.aws_ec2 as ec2

# vpc: ec2.Vpc


interface_vpc_endpoint = ec2.InterfaceVpcEndpoint(self, "MyVpcEndpoint",
    vpc=vpc,
    service=ec2.InterfaceVpcEndpointAwsService.APP_RUNNER_REQUESTS,
    private_dns_enabled=False
)

service = apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(
            port=8000
        ),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    is_publicly_accessible=False
)

apprunner.VpcIngressConnection(self, "VpcIngressConnection",
    vpc=vpc,
    interface_vpc_endpoint=interface_vpc_endpoint,
    service=service
)

Dual Stack

To use dual stack (IPv4 and IPv6) for your incoming public network configuration, set ipAddressType to IpAddressType.DUAL_STACK.

apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    ip_address_type=apprunner.IpAddressType.DUAL_STACK
)

Note: Currently, App Runner supports dual stack for only Public endpoint. Only IPv4 is supported for Private endpoint. If you update a service that's using dual-stack Public endpoint to a Private endpoint, your App Runner service will default to support only IPv4 for Private endpoint and fail to receive traffic originating from IPv6 endpoint.

Secrets Manager

To include environment variables integrated with AWS Secrets Manager, use the environmentSecrets attribute. You can use the addSecret method from the App Runner Service class to include secrets from outside the service definition.

import aws_cdk.aws_secretsmanager as secretsmanager
import aws_cdk.aws_ssm as ssm

# stack: Stack


secret = secretsmanager.Secret(stack, "Secret")
parameter = ssm.StringParameter.from_secure_string_parameter_attributes(stack, "Parameter",
    parameter_name="/name",
    version=1
)

service = apprunner.Service(stack, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(
            port=8000,
            environment_secrets={
                "SECRET": apprunner.Secret.from_secrets_manager(secret),
                "PARAMETER": apprunner.Secret.from_ssm_parameter(parameter),
                "SECRET_ID": apprunner.Secret.from_secrets_manager_version(secret, version_id="version-id"),
                "SECRET_STAGE": apprunner.Secret.from_secrets_manager_version(secret, version_stage="version-stage")
            }
        ),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    )
)

service.add_secret("LATER_SECRET", apprunner.Secret.from_secrets_manager(secret, "field"))

Use a customer managed key

To use a customer managed key for your source encryption, use the kmsKey attribute.

import aws_cdk.aws_kms as kms

# kms_key: kms.IKey


apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    kms_key=kms_key
)

HealthCheck

To configure the health check for the service, use the healthCheck attribute.

You can specify it by static methods HealthCheck.http or HealthCheck.tcp.

apprunner.Service(self, "Service",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    health_check=apprunner.HealthCheck.http(
        healthy_threshold=5,
        interval=Duration.seconds(10),
        path="/",
        timeout=Duration.seconds(10),
        unhealthy_threshold=10
    )
)

Observability Configuration

To associate an App Runner service with a custom observability configuration, use the observabilityConfiguration property.

observability_configuration = apprunner.ObservabilityConfiguration(self, "ObservabilityConfiguration",
    observability_configuration_name="MyObservabilityConfiguration",
    trace_configuration_vendor=apprunner.TraceConfigurationVendor.AWSXRAY
)

apprunner.Service(self, "DemoService",
    source=apprunner.Source.from_ecr_public(
        image_configuration=apprunner.ImageConfiguration(port=8000),
        image_identifier="public.ecr.aws/aws-containers/hello-app-runner:latest"
    ),
    observability_configuration=observability_configuration
)

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