Merge pull request #195 from ethomson/cloud

Add cloud starter workflows
This commit is contained in:
Edward Thomson
2019-11-14 06:42:11 -08:00
committed by GitHub
6 changed files with 217 additions and 0 deletions
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# This workflow will build and push a new container image to Amazon ECR,
# and then will deploy a new task definition to Amazon ECS, on every push
# to the master branch.
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ECR repository to store your images.
# For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
# Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
# Replace the value of `aws-region` in the workflow below with your repository's region.
#
# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
# For example, follow the Getting Started guide on the ECS console:
# https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
# Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
#
# 3. Store your ECS task definition as a JSON file in your repository.
# The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
# Replace the value of `task-definition` in the workflow below with your JSON file's name.
# Replace the value of `container-name` in the workflow below with the name of the container
# in the `containerDefinitions` section of the task definition.
#
# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
# See the documentation for each action used below for the recommended IAM policies for this IAM user,
# and best practices on handling the access key credentials.
on:
push:
branches:
- master
name: Deploy to Amazon ECS
jobs:
deploy:
name: Deploy
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v1
- 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-2
- 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: my-ecr-repo
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@v1
with:
task-definition: task-definition.json
container-name: sample-app
image: ${{ steps.build-image.outputs.image }}
- name: Deploy Amazon ECS task definition
uses: aws-actions/amazon-ecs-deploy-task-definition@v1
with:
task-definition: ${{ steps.task-def.outputs.task-definition }}
service: sample-app-service
cluster: default
wait-for-service-stability: true
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# This workflow will build and push a node.js application to an Azure Web App on every push to the master branch.
#
# To configure this workflow:
#
# 1. Set up a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE with the value of your Azure publish profile.
#
# 2. Change the values for the AZURE_WEBAPP_NAME, AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables (below).
#
# For more information on GitHub Actions for Azure, refer to https://github.com/Azure/Actions
# For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples
on:
push:
branches:
- master
env:
AZURE_WEBAPP_NAME: your-app-name # set this to your application's name
AZURE_WEBAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
NODE_VERSION: '10.x' # set this to the node version to use
jobs:
build-and-deploy:
name: Build and Deploy
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@master
- name: Use Node.js ${{ env.NODE_VERSION }}
uses: actions/setup-node@v1
with:
node-version: ${{ env.NODE_VERSION }}
- name: npm install, build, and test
run: |
# Build and test the project, then
# deploy to Azure Web App.
npm install
npm run build --if-present
npm run test --if-present
- name: 'Deploy to Azure WebApp'
uses: azure/webapps-deploy@v1
with:
app-name: ${{ env.AZURE_WEBAPP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}
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# This workflow will build a docker container, publish it to Google Container Registry, and deploy it to GKE.
#
# To configure this workflow:
#
# 1. Ensure that your repository contains the necessary configuration for your Google Kubernetes Engine cluster, including deployment.yml, kustomization.yml, service.yml, etc.
#
# 2. Set up secrets in your workspace: GKE_PROJECT with the name of the project, GKE_EMAIL with the service account email, GKE_KEY with the service account key.
#
# 3. Change the values for the GKE_ZONE, GKE_CLUSTER and IMAGE environment variables (below).
name: Build and Deploy to GKE
on:
push:
branches:
- master
# Environment variables available to all jobs and steps in this workflow
env:
GKE_PROJECT: ${{ secrets.GKE_PROJECT }}
GKE_EMAIL: ${{ secrets.GKE_EMAIL }}
GITHUB_SHA: ${{ github.sha }}
GKE_ZONE: us-west1-a
GKE_CLUSTER: example-gke-cluster
IMAGE: gke-test
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@master
# Setup gcloud CLI
- uses: GoogleCloudPlatform/github-actions/setup-gcloud@master
with:
version: '270.0.0'
service_account_email: ${{ secrets.GKE_EMAIL }}
service_account_key: ${{ secrets.GKE_KEY }}
# Configure docker to use the gcloud command-line tool as a credential helper
- run: |
# Set up docker to authenticate
# via gcloud command-line tool.
gcloud auth configure-docker
# Build the Docker image
- name: Build
run: |
docker build -t gcr.io/"$GKE_PROJECT"/"$IMAGE":"$GITHUB_SHA" \
--build-arg GITHUB_SHA="$GITHUB_SHA" \
--build-arg GITHUB_REF="$GITHUB_REF" .
# Push the Docker image to Google Container Registry
- name: Publish
run: |
docker push gcr.io/$GKE_PROJECT/$IMAGE:$GITHUB_SHA
# Set up kustomize
- name: Set up Kustomize
run: |
curl -o kustomize --location https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
chmod u+x ./kustomize
# Deploy the Docker image to the GKE cluster
- name: Deploy
run: |
gcloud container clusters get-credentials $GKE_CLUSTER --zone $GKE_ZONE --project $GKE_PROJECT
./kustomize edit set image gcr.io/$GKE_PROJECT/$IMAGE:${GITHUB_SHA}
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/gke-test
kubectl get services -o wide
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{
"name": "Deploy to Amazon ECS",
"description": "Deploy a container to an Amazon ECS service powered by AWS Fargate or Amazon EC2.",
"iconName": "aws",
"categories": null
}
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{
"name": "Deploy Node.js to Azure Web App",
"description": "Build a Node.js project and deploy it to an Azure Web App.",
"iconName": "azure",
"categories": null
}
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{
"name": "Build and Deploy to GKE",
"description": "Build a docker container, publish it to Google Container Registry, and deploy to GKE.",
"iconName": "googlegke",
"categories": null
}