Refs/heads/development

.github/workflows/alibabacloud.yml

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+# This workflow will build and push a new container image to Alibaba Cloud Container Registry (ACR),
+# and then will deploy it to Alibaba Cloud Container Service for Kubernetes (ACK), when there is a push to the "development" branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ACR repository to store your container images.
+#    You can use ACR EE instance for more security and better performance.
+#    For instructions see https://www.alibabacloud.com/help/doc-detail/142168.htm
+#
+# 2. Create an ACK cluster to run your containerized application.
+#    You can use ACK Pro cluster for more security and better performance.
+#    For instructions see https://www.alibabacloud.com/help/doc-detail/95108.htm
+#
+# 3. Store your AccessKey pair in GitHub Actions secrets named `ACCESS_KEY_ID` and `ACCESS_KEY_SECRET`.
+#    For instructions on setting up secrets see: https://developer.github.com/actions/managing-workflows/storing-secrets/
+#
+# 4. Change the values for the REGION_ID, REGISTRY, NAMESPACE, IMAGE, ACK_CLUSTER_ID, and ACK_DEPLOYMENT_NAME.
+#
+
+name: Build and Deploy to ACK
+
+on:
+  push:
+    branches: [ "development" ]
+
+# Environment variables available to all jobs and steps in this workflow.
+env:
+  REGION_ID: cn-hangzhou
+  REGISTRY: registry.cn-hangzhou.aliyuncs.com
+  NAMESPACE: namespace
+  IMAGE: repo
+  TAG: ${{ github.sha }}
+  ACK_CLUSTER_ID: clusterID
+  ACK_DEPLOYMENT_NAME: nginx-deployment
+
+  ACR_EE_REGISTRY: myregistry.cn-hangzhou.cr.aliyuncs.com
+  ACR_EE_INSTANCE_ID: instanceID
+  ACR_EE_NAMESPACE: namespace
+  ACR_EE_IMAGE: repo
+  ACR_EE_TAG: ${{ github.sha }}
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+
+    # 1.1 Login to ACR
+    - name: Login to ACR with the AccessKey pair
+      uses: aliyun/acr-login@v1
+      with:
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+
+    # 1.2 Build and push image to ACR
+    - name: Build and push image to ACR
+      run: |
+        docker build --tag "$REGISTRY/$NAMESPACE/$IMAGE:$TAG" .
+        docker push "$REGISTRY/$NAMESPACE/$IMAGE:$TAG"
+
+    # 1.3 Scan image in ACR
+    - name: Scan image in ACR
+      uses: aliyun/acr-scan@v1
+      with:
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        repository: "${{ env.NAMESPACE }}/${{ env.IMAGE }}"
+        tag: "${{ env.TAG }}"
+
+    # 2.1 (Optional) Login to ACR EE
+    - uses: actions/checkout@v4
+    - name: Login to ACR EE with the AccessKey pair
+      uses: aliyun/acr-login@v1
+      with:
+        login-server: "https://${{ env.ACR_EE_REGISTRY }}"
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
+
+    # 2.2 (Optional) Build and push image ACR EE
+    - name: Build and push image to ACR EE
+      run: |
+        docker build -t "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG" .
+        docker push "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG"
+    # 2.3 (Optional) Scan image in ACR EE
+    - name: Scan image in ACR EE
+      uses: aliyun/acr-scan@v1
+      with:
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
+        repository: "${{ env.ACR_EE_NAMESPACE}}/${{ env.ACR_EE_IMAGE }}"
+        tag: "${{ env.ACR_EE_TAG }}"
+
+    # 3.1 Set ACK context
+    - name: Set K8s context
+      uses: aliyun/ack-set-context@v1
+      with:
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        cluster-id: "${{ env.ACK_CLUSTER_ID }}"
+
+    # 3.2 Deploy the image to the ACK cluster
+    - name: Set up Kustomize
+      run: |-
+        curl -s "https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh"  | bash /dev/stdin 3.8.6
+    - name: Deploy
+      run: |-
+        ./kustomize edit set image REGISTRY/NAMESPACE/IMAGE:TAG=$REGISTRY/$NAMESPACE/$IMAGE:$TAG
+        ./kustomize build . | kubectl apply -f -
+        kubectl rollout status deployment/$ACK_DEPLOYMENT_NAME
+        kubectl get services -o wide

.github/workflows/aws.yml

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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, when there is a push to the "development" 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 the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name.
+#    Replace the value of the `AWS_REGION` environment variable 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 value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service.
+#    Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster.
+#
+# 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 the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file.
+#    Replace the value of the `CONTAINER_NAME` environment variable 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.
+
+name: Deploy to Amazon ECS
+
+on:
+  push:
+    branches: [ "development" ]
+
+env:
+  AWS_REGION: MY_AWS_REGION                   # set this to your preferred AWS region, e.g. us-west-1
+  ECR_REPOSITORY: MY_ECR_REPOSITORY           # set this to your Amazon ECR repository name
+  ECS_SERVICE: MY_ECS_SERVICE                 # set this to your Amazon ECS service name
+  ECS_CLUSTER: MY_ECS_CLUSTER                 # set this to your Amazon ECS cluster name
+  ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # set this to the path to your Amazon ECS task definition
+                                               # file, e.g. .aws/task-definition.json
+  CONTAINER_NAME: MY_CONTAINER_NAME           # set this to the name of the container in the
+                                               # containerDefinitions section of your task definition
+
+permissions:
+  contents: read
+
+jobs:
+  deploy:
+    name: Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+
+    - 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: ${{ env.AWS_REGION }}
+
+    - 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 }}
+        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:$IMAGE_TAG
+        echo "image=$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" >> $GITHUB_OUTPUT
+
+    - 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: ${{ env.ECS_TASK_DEFINITION }}
+        container-name: ${{ env.CONTAINER_NAME }}
+        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: ${{ env.ECS_SERVICE }}
+        cluster: ${{ env.ECS_CLUSTER }}
+        wait-for-service-stability: true

.github/workflows/datadog-synthetics.yml

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+# This workflow will trigger Datadog Synthetic tests within your Datadog organisation
+# For more information on running Synthetic tests within your GitHub workflows see: https://docs.datadoghq.com/synthetics/cicd_integrations/github_actions/
+
+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+# To get started:
+
+# 1. Add your Datadog API (DD_API_KEY) and Application Key (DD_APP_KEY) as secrets to your GitHub repository. For more information, see: https://docs.datadoghq.com/account_management/api-app-keys/.
+# 2. Start using the action within your workflow
+
+name: Run Datadog Synthetic tests
+
+on:
+  push:
+    branches: [ "development" ]
+  pull_request:
+    branches: [ "development" ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+
+    # Run Synthetic tests within your GitHub workflow.
+    # For additional configuration options visit the action within the marketplace: https://github.com/marketplace/actions/datadog-synthetics-ci
+    - name: Run Datadog Synthetic tests
+      uses: DataDog/synthetics-ci-github-action@87b505388a22005bb8013481e3f73a367b9a53eb # v1.4.0
+      with:
+        api_key: ${{secrets.DD_API_KEY}}
+        app_key: ${{secrets.DD_APP_KEY}}
+        test_search_query: 'tag:e2e-tests' #Modify this tag to suit your tagging strategy
+
+

.github/workflows/greetings.yml

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+name: Greetings
+
+on: [pull_request_target, issues]
+
+jobs:
+  greeting:
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+    steps:
+    - uses: actions/first-interaction@v1
+      with:
+        repo-token: ${{ secrets.GITHUB_TOKEN }}
+        issue-message: "Message that will be displayed on users' first issue"
+        pr-message: "Message that will be displayed on users' first pull request"

.github/workflows/npm-gulp.yml

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+name: NodeJS with Gulp
+
+on:
+  push:
+    branches: [ "development" ]
+  pull_request:
+    branches: [ "development" ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    strategy:
+      matrix:
+        node-version: [18.x, 20.x, 22.x]
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Use Node.js ${{ matrix.node-version }}
+      uses: actions/setup-node@v4
+      with:
+        node-version: ${{ matrix.node-version }}
+
+    - name: Build
+      run: |
+        npm install
+        gulp

.github/workflows/npm-publish.yml

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+# This workflow will run tests using node and then publish a package to GitHub Packages when a release is created
+# For more information see: https://docs.github.com/en/actions/publishing-packages/publishing-nodejs-packages
+
+name: Node.js Package
+
+on:
+  release:
+    types: [created]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 20
+      - run: npm ci
+      - run: npm test
+
+  publish-npm:
+    needs: build
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          registry-url: https://registry.npmjs.org/
+      - run: npm ci
+      - run: npm publish
+        env:
+          NODE_AUTH_TOKEN: ${{secrets.npm_token}}