Registers an AWS App Runner Service and deploys the application using the source code of a given GitHub repository. Supports both source code and Docker image based service.
This github action supports two types of App Runner services: source code based and docker image based.
See action.yml for the full documentation for this action's inputs and outputs.
Source code is application code that App Runner builds and deploys for you. You point App Runner to a source code repository and choose a suitable runtime. App Runner builds an image that's based on the base image of the runtime and your application code. It then starts a service that runs a container based on this image.
Note: Only NodeJS, Python, and Java based services are supported.
Here is the sample for deploying a NodeJS based service:
name: Deploy to App Runner
on:
push:
branches: [ master ]
workflow_dispatch:
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- 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: us-east-1
- name: Deploy to App Runner
id: deploy-apprunner
uses: awslabs/amazon-app-runner-deploy@main
with:
service: app-runner-git-deploy-service
source-connection-arn: ${{ secrets.AWS_CONNECTION_SOURCE_ARN }}
repo: https://github.com/${{ github.repository }}
branch: ${{ github.ref }}
runtime: NODEJS_14
build-command: npm install
start-command: npm start
port: 18000
region: us-east-1
cpu : 1
memory : 2
wait-for-service-stability: true
- name: App Runner output
run: echo "App runner output ${{ steps.deploy-apprunner.outputs.service-id }}" Note:
- AWS_CONNECTION_SOURCE_ARN is the ARN of the source code connector in AWS App Runner, for more details refer to this documentation
Here, a source image (that could be a public or private container image stored in an image repository) can get used by App Runner to get the service running on a container. No build stage is necessary. Rather, you provide a ready-to-deploy image.
Here is the sample for deploying a App Runner service based on docker image:
name: Deploy to App Runner
on:
push:
branches: [ master ]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
with:
persist-credentials: false
- name: Configure AWS credentials
id: 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: us-east-1
- 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 }}
ECR_REPOSITORY: nodejs
IMAGE_TAG: ${{ github.sha }}
run: |
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: Deploy to App Runner Image
id: deploy-apprunner
uses: awslabs/amazon-app-runner-deploy@main
with:
service: app-runner-git-deploy-service
image: ${{ steps.build-image.outputs.image }}
access-role-arn: ${{ secrets.ROLE_ARN }}
region: us-east-1
cpu : 1
memory : 2
wait-for-service-stability: true
- name: App Runner output
run: echo "App runner output ${{ steps.deploy-apprunner.outputs.service-id }}" Note:
- The above example uses github action, to build the docker image, push it to AWS ECR and use the same for App Runner deployment
- ROLE_ARN is the Amazon Resource Name (ARN) of 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)
This action relies on the default behavior of the AWS SDK for Javascript to determine AWS credentials and region.
Use the aws-actions/configure-aws-credentials action to configure the GitHub Actions environment with environment variables containing AWS credentials and your desired region.
We recommend following Amazon IAM best practices for the AWS credentials used in GitHub Actions workflows, including:
- Do not store credentials in your repository's code. You may use GitHub Actions secrets to store credentials and redact credentials from GitHub Actions workflow logs.
- Create an individual IAM user with an access key for use in GitHub Actions workflows, preferably one per repository. Do not use the AWS account root user access key.
- Grant least privilege to the credentials used in GitHub Actions workflows. Grant only the permissions required to perform the actions in your GitHub Actions workflows. See the Permissions section below for the permissions required by this action.
- Rotate the credentials used in GitHub Actions workflows regularly.
- Monitor the activity of the credentials used in GitHub Actions workflows.
For Image based service this action requires the following minimum set of permissions:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"ecr:GetDownloadUrlForLayer",
"ecr:BatchGetImage",
"ecr:DescribeImages",
"ecr:GetAuthorizationToken",
"ecr:BatchCheckLayerAvailability"
],
"Resource": "*"
}
]
}This action emits debug logs to help troubleshoot deployment failures. To see the debug logs, create a secret named ACTIONS_STEP_DEBUG with value true in your repository.
This code is made available under the MIT-0 license, for details refer to LICENSE file.
If you would like to report a potential security issue in this project, please do not create a GitHub issue. Instead, please follow the instructions here or email AWS security directly.