Merge pull request #195 from ethomson/cloud
Add cloud starter workflows
This commit is contained in:
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# This workflow will build and push a new container image to Amazon ECR,
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# and then will deploy a new task definition to Amazon ECS, on every push
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# to the master branch.
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#
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# To use this workflow, you will need to complete the following set-up steps:
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#
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# 1. Create an ECR repository to store your images.
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# For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
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# Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
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# Replace the value of `aws-region` in the workflow below with your repository's region.
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#
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# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
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# For example, follow the Getting Started guide on the ECS console:
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# https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
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# Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
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#
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# 3. Store your ECS task definition as a JSON file in your repository.
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# The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
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# Replace the value of `task-definition` in the workflow below with your JSON file's name.
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# Replace the value of `container-name` in the workflow below with the name of the container
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# in the `containerDefinitions` section of the task definition.
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#
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# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
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# See the documentation for each action used below for the recommended IAM policies for this IAM user,
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# and best practices on handling the access key credentials.
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on:
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push:
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branches:
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- master
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name: Deploy to Amazon ECS
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jobs:
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deploy:
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name: Deploy
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v1
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- name: Configure AWS credentials
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uses: aws-actions/configure-aws-credentials@v1
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with:
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aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
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aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
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aws-region: us-east-2
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- name: Login to Amazon ECR
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id: login-ecr
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uses: aws-actions/amazon-ecr-login@v1
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- name: Build, tag, and push image to Amazon ECR
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id: build-image
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env:
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ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
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ECR_REPOSITORY: my-ecr-repo
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IMAGE_TAG: ${{ github.sha }}
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run: |
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# Build a docker container and
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# push it to ECR so that it can
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# be deployed to ECS.
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docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
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docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
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echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
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- name: Fill in the new image ID in the Amazon ECS task definition
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id: task-def
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uses: aws-actions/amazon-ecs-render-task-definition@v1
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with:
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task-definition: task-definition.json
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container-name: sample-app
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image: ${{ steps.build-image.outputs.image }}
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- name: Deploy Amazon ECS task definition
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uses: aws-actions/amazon-ecs-deploy-task-definition@v1
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with:
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task-definition: ${{ steps.task-def.outputs.task-definition }}
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service: sample-app-service
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cluster: default
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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.
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#
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# To configure this workflow:
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#
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# 1. Set up a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE with the value of your Azure publish profile.
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#
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# 2. Change the values for the AZURE_WEBAPP_NAME, AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables (below).
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#
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# For more information on GitHub Actions for Azure, refer to https://github.com/Azure/Actions
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# For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples
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on:
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push:
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branches:
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- master
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env:
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AZURE_WEBAPP_NAME: your-app-name # set this to your application's name
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AZURE_WEBAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
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NODE_VERSION: '10.x' # set this to the node version to use
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jobs:
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build-and-deploy:
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name: Build and Deploy
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@master
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- name: Use Node.js ${{ env.NODE_VERSION }}
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uses: actions/setup-node@v1
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with:
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node-version: ${{ env.NODE_VERSION }}
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- name: npm install, build, and test
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run: |
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# Build and test the project, then
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# deploy to Azure Web App.
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npm install
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npm run build --if-present
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npm run test --if-present
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- name: 'Deploy to Azure WebApp'
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uses: azure/webapps-deploy@v1
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with:
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app-name: ${{ env.AZURE_WEBAPP_NAME }}
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publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
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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.
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#
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# To configure this workflow:
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#
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# 1. Ensure that your repository contains the necessary configuration for your Google Kubernetes Engine cluster, including deployment.yml, kustomization.yml, service.yml, etc.
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#
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# 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.
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#
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# 3. Change the values for the GKE_ZONE, GKE_CLUSTER and IMAGE environment variables (below).
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name: Build and Deploy to GKE
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on:
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push:
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branches:
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- master
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# Environment variables available to all jobs and steps in this workflow
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env:
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GKE_PROJECT: ${{ secrets.GKE_PROJECT }}
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GKE_EMAIL: ${{ secrets.GKE_EMAIL }}
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GITHUB_SHA: ${{ github.sha }}
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GKE_ZONE: us-west1-a
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GKE_CLUSTER: example-gke-cluster
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IMAGE: gke-test
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jobs:
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setup-build-publish-deploy:
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name: Setup, Build, Publish, and Deploy
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@master
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# Setup gcloud CLI
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- uses: GoogleCloudPlatform/github-actions/setup-gcloud@master
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with:
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version: '270.0.0'
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service_account_email: ${{ secrets.GKE_EMAIL }}
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service_account_key: ${{ secrets.GKE_KEY }}
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# Configure docker to use the gcloud command-line tool as a credential helper
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- run: |
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# Set up docker to authenticate
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# via gcloud command-line tool.
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gcloud auth configure-docker
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# Build the Docker image
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- name: Build
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run: |
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docker build -t gcr.io/"$GKE_PROJECT"/"$IMAGE":"$GITHUB_SHA" \
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--build-arg GITHUB_SHA="$GITHUB_SHA" \
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--build-arg GITHUB_REF="$GITHUB_REF" .
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# Push the Docker image to Google Container Registry
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- name: Publish
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run: |
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docker push gcr.io/$GKE_PROJECT/$IMAGE:$GITHUB_SHA
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# Set up kustomize
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- name: Set up Kustomize
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run: |
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curl -o kustomize --location https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
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chmod u+x ./kustomize
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# Deploy the Docker image to the GKE cluster
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- name: Deploy
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run: |
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gcloud container clusters get-credentials $GKE_CLUSTER --zone $GKE_ZONE --project $GKE_PROJECT
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./kustomize edit set image gcr.io/$GKE_PROJECT/$IMAGE:${GITHUB_SHA}
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./kustomize build . | kubectl apply -f -
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kubectl rollout status deployment/gke-test
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kubectl get services -o wide
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@@ -0,0 +1,6 @@
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{
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"name": "Deploy to Amazon ECS",
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"description": "Deploy a container to an Amazon ECS service powered by AWS Fargate or Amazon EC2.",
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"iconName": "aws",
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"categories": null
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}
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{
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"name": "Deploy Node.js to Azure Web App",
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"description": "Build a Node.js project and deploy it to an Azure Web App.",
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"iconName": "azure",
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"categories": null
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}
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{
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"name": "Build and Deploy to GKE",
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"description": "Build a docker container, publish it to Google Container Registry, and deploy to GKE.",
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"iconName": "googlegke",
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"categories": null
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}
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