Merge da2f5aedc7 into 4cc6253d5c

.devcontainer/devcontainer.json

@@ -0,0 +1,4 @@
+{
+  "image": "mcr.microsoft.com/devcontainers/universal:2",
+  "features": {}
+}

.github/workflows/alibabacloud.yml

@@ -0,0 +1,122 @@
+# 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 "main" 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: [ "main" ]
+
+# 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/azure-webapps-python.yml

@@ -0,0 +1,86 @@
+# This workflow will build and push a Python application to an Azure Web App when a commit is pushed to your default branch.
+#
+# This workflow assumes you have already created the target Azure App Service web app.
+# For instructions see https://docs.microsoft.com/en-us/azure/app-service/quickstart-python?tabs=bash&pivots=python-framework-flask
+#
+# To configure this workflow:
+#
+# 1. Download the Publish Profile for your Azure Web App. You can download this file from the Overview page of your Web App in the Azure Portal.
+#    For more information: https://docs.microsoft.com/en-us/azure/app-service/deploy-github-actions?tabs=applevel#generate-deployment-credentials
+#
+# 2. Create a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE, paste the publish profile contents as the value of the secret.
+#    For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
+#
+# 3. Change the value for the AZURE_WEBAPP_NAME. Optionally, change the PYTHON_VERSION environment variables below.
+#
+# For more information on GitHub Actions for Azure: https://github.com/Azure/Actions
+# For more information on the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
+# For more samples to get started with GitHub Action workflows to deploy to Azure: https://github.com/Azure/actions-workflow-samples
+
+name: Build and deploy Python app to Azure Web App
+
+env:
+  AZURE_WEBAPP_NAME: your-app-name  # set this to the name of your Azure Web App
+  PYTHON_VERSION: '3.8'              # set this to the Python version to use
+
+on:
+  push:
+    branches: [ "main" ]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python version
+        uses: actions/setup-python@v3.0.0
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+          cache: 'pip'
+
+      - name: Create and start virtual environment
+        run: |
+          python -m venv venv
+          source venv/bin/activate
+
+      - name: Install dependencies
+        run: pip install -r requirements.txt
+
+      # Optional: Add step to run tests here (PyTest, Django test suites, etc.)
+
+      - name: Upload artifact for deployment jobs
+        uses: actions/upload-artifact@v4
+        with:
+          name: python-app
+          path: |
+            .
+            !venv/
+
+  deploy:
+    permissions:
+      contents: none
+    runs-on: ubuntu-latest
+    needs: build
+    environment:
+      name: 'Development'
+      url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}
+
+    steps:
+      - name: Download artifact from build job
+        uses: actions/download-artifact@v4
+        with:
+          name: python-app
+          path: .
+
+      - name: 'Deploy to Azure Web App'
+        id: deploy-to-webapp
+        uses: azure/webapps-deploy@v2
+        with:
+          app-name: ${{ env.AZURE_WEBAPP_NAME }}
+          publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}

.github/workflows/c-cpp.yml

@@ -0,0 +1,23 @@
+name: C/C++ CI
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: configure
+      run: ./configure
+    - name: make
+      run: make
+    - name: make check
+      run: make check
+    - name: make distcheck
+      run: make distcheck

.github/workflows/codeql.yml

@@ -0,0 +1,100 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL Advanced"
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+  schedule:
+    - cron: '24 20 * * 3'
+
+jobs:
+  analyze:
+    name: Analyze (${{ matrix.language }})
+    # Runner size impacts CodeQL analysis time. To learn more, please see:
+    #   - https://gh.io/recommended-hardware-resources-for-running-codeql
+    #   - https://gh.io/supported-runners-and-hardware-resources
+    #   - https://gh.io/using-larger-runners (GitHub.com only)
+    # Consider using larger runners or machines with greater resources for possible analysis time improvements.
+    runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
+    permissions:
+      # required for all workflows
+      security-events: write
+
+      # required to fetch internal or private CodeQL packs
+      packages: read
+
+      # only required for workflows in private repositories
+      actions: read
+      contents: read
+
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+        - language: actions
+          build-mode: none
+        - language: python
+          build-mode: none
+        # CodeQL supports the following values keywords for 'language': 'actions', 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift'
+        # Use `c-cpp` to analyze code written in C, C++ or both
+        # Use 'java-kotlin' to analyze code written in Java, Kotlin or both
+        # Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
+        # To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
+        # see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
+        # If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
+        # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v4
+
+    # Add any setup steps before running the `github/codeql-action/init` action.
+    # This includes steps like installing compilers or runtimes (`actions/setup-node`
+    # or others). This is typically only required for manual builds.
+    # - name: Setup runtime (example)
+    #   uses: actions/setup-example@v1
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v3
+      with:
+        languages: ${{ matrix.language }}
+        build-mode: ${{ matrix.build-mode }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+
+        # For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
+        # queries: security-extended,security-and-quality
+
+    # If the analyze step fails for one of the languages you are analyzing with
+    # "We were unable to automatically build your code", modify the matrix above
+    # to set the build mode to "manual" for that language. Then modify this step
+    # to build your code.
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
+    - if: matrix.build-mode == 'manual'
+      shell: bash
+      run: |
+        echo 'If you are using a "manual" build mode for one or more of the' \
+          'languages you are analyzing, replace this with the commands to build' \
+          'your code, for example:'
+        echo '  make bootstrap'
+        echo '  make release'
+        exit 1
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v3
+      with:
+        category: "/language:${{matrix.language}}"

.github/workflows/django.yml

@@ -0,0 +1,30 @@
+name: Django CI
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      max-parallel: 4
+      matrix:
+        python-version: [3.7, 3.8, 3.9]
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install Dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+    - name: Run Tests
+      run: |
+        python manage.py test

.github/workflows/go.yml

@@ -0,0 +1,28 @@
+# This workflow will build a golang project
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-go
+
+name: Go
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Go
+      uses: actions/setup-go@v4
+      with:
+        go-version: '1.20'
+
+    - name: Build
+      run: go build -v ./...
+
+    - name: Test
+      run: go test -v ./...

.github/workflows/google.yml

@@ -0,0 +1,116 @@
+# This workflow will build a docker container, publish it to Google Container
+# Registry, and deploy it to GKE when there is a push to the "main"
+# branch.
+#
+# To configure this workflow:
+#
+# 1. Enable the following Google Cloud APIs:
+#
+#    - Artifact Registry (artifactregistry.googleapis.com)
+#    - Google Kubernetes Engine (container.googleapis.com)
+#    - IAM Credentials API (iamcredentials.googleapis.com)
+#
+#    You can learn more about enabling APIs at
+#    https://support.google.com/googleapi/answer/6158841.
+#
+# 2. Ensure that your repository contains the necessary configuration for your
+#    Google Kubernetes Engine cluster, including deployment.yml,
+#    kustomization.yml, service.yml, etc.
+#
+# 3. Create and configure a Workload Identity Provider for GitHub:
+#    https://github.com/google-github-actions/auth#preferred-direct-workload-identity-federation.
+#
+#    Depending on how you authenticate, you will need to grant an IAM principal
+#    permissions on Google Cloud:
+#
+#    - Artifact Registry Administrator (roles/artifactregistry.admin)
+#    - Kubernetes Engine Developer (roles/container.developer)
+#
+#    You can learn more about setting IAM permissions at
+#    https://cloud.google.com/iam/docs/manage-access-other-resources
+#
+# 5. Change the values in the "env" block to match your values.
+
+name: 'Build and Deploy to GKE'
+
+on:
+  push:
+    branches:
+      - '"main"'
+
+env:
+  PROJECT_ID: 'my-project' # TODO: update to your Google Cloud project ID
+  GAR_LOCATION: 'us-central1' # TODO: update to your region
+  GKE_CLUSTER: 'cluster-1' # TODO: update to your cluster name
+  GKE_ZONE: 'us-central1-c' # TODO: update to your cluster zone
+  DEPLOYMENT_NAME: 'gke-test' # TODO: update to your deployment name
+  REPOSITORY: 'samples' # TODO: update to your Artifact Registry docker repository name
+  IMAGE: 'static-site'
+  WORKLOAD_IDENTITY_PROVIDER: 'projects/123456789/locations/global/workloadIdentityPools/my-pool/providers/my-provider' # TODO: update to your workload identity provider
+
+jobs:
+  setup-build-publish-deploy:
+    name: 'Setup, Build, Publish, and Deploy'
+    runs-on: 'ubuntu-latest'
+    environment: 'production'
+
+    permissions:
+      contents: 'read'
+      id-token: 'write'
+
+    steps:
+      - name: 'Checkout'
+        uses: 'actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332' # actions/checkout@v4
+
+      # Configure Workload Identity Federation and generate an access token.
+      #
+      # See https://github.com/google-github-actions/auth for more options,
+      # including authenticating via a JSON credentials file.
+      - id: 'auth'
+        name: 'Authenticate to Google Cloud'
+        uses: 'google-github-actions/auth@f112390a2df9932162083945e46d439060d66ec2' # google-github-actions/auth@v2
+        with:
+          workload_identity_provider: '${{ env.WORKLOAD_IDENTITY_PROVIDER }}'
+
+      # Authenticate Docker to Google Cloud Artifact Registry
+      - name: 'Docker Auth'
+        uses: 'docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567' # docker/login-action@v3
+        with:
+          username: 'oauth2accesstoken'
+          password: '${{ steps.auth.outputs.auth_token }}'
+          registry: '${{ env.GAR_LOCATION }}-docker.pkg.dev'
+
+      # Get the GKE credentials so we can deploy to the cluster
+      - name: 'Set up GKE credentials'
+        uses: 'google-github-actions/get-gke-credentials@6051de21ad50fbb1767bc93c11357a49082ad116' # google-github-actions/get-gke-credentials@v2
+        with:
+          cluster_name: '${{ env.GKE_CLUSTER }}'
+          location: '${{ env.GKE_ZONE }}'
+
+      # Build the Docker image
+      - name: 'Build and push Docker container'
+        run: |-
+          DOCKER_TAG="${GAR_LOCATION}-docker.pkg.dev/${PROJECT_ID}/${REPOSITORY}/${IMAGE}:${GITHUB_SHA}"
+
+          docker build \
+            --tag "${DOCKER_TAG}" \
+            --build-arg GITHUB_SHA="${GITHUB_SHA}" \
+            --build-arg GITHUB_REF="${GITHUB_REF}" \
+            .
+
+          docker push "${DOCKER_TAG}"
+
+      # Set up kustomize
+      - name: 'Set up Kustomize'
+        run: |-
+          curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/kustomize%2Fv5.4.3/kustomize_v5.4.3_linux_amd64.tar.gz
+          chmod u+x ./kustomize
+
+      # Deploy the Docker image to the GKE cluster
+      - name: 'Deploy to GKE'
+        run: |-
+          # replacing the image name in the k8s template
+          ./kustomize edit set image LOCATION-docker.pkg.dev/PROJECT_ID/REPOSITORY/IMAGE:TAG=$GAR_LOCATION-docker.pkg.dev/$PROJECT_ID/$REPOSITORY/$IMAGE:$GITHUB_SHA
+          ./kustomize build . | kubectl apply -f -
+          kubectl rollout status deployment/$DEPLOYMENT_NAME
+          kubectl get services -o wide

.github/workflows/greetings.yml

@@ -0,0 +1,16 @@
+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/ibm.yml

@@ -0,0 +1,75 @@
+# This workflow will build a docker container, publish it to IBM Container Registry, and deploy it to IKS when there is a push to the "main" branch.
+#
+# To configure this workflow:
+#
+# 1. Ensure that your repository contains a Dockerfile
+# 2. Setup secrets in your repository by going to settings: Create ICR_NAMESPACE and IBM_CLOUD_API_KEY
+# 3. Change the values for the IBM_CLOUD_REGION, REGISTRY_HOSTNAME, IMAGE_NAME, IKS_CLUSTER, DEPLOYMENT_NAME, and PORT
+
+name: Build and Deploy to IKS
+
+on:
+  push:
+    branches: [ "main" ]
+
+# Environment variables available to all jobs and steps in this workflow
+env:
+  GITHUB_SHA: ${{ github.sha }}
+  IBM_CLOUD_API_KEY: ${{ secrets.IBM_CLOUD_API_KEY }}
+  IBM_CLOUD_REGION: us-south
+  ICR_NAMESPACE: ${{ secrets.ICR_NAMESPACE }}
+  REGISTRY_HOSTNAME: us.icr.io
+  IMAGE_NAME: iks-test
+  IKS_CLUSTER: example-iks-cluster-name-or-id
+  DEPLOYMENT_NAME: iks-test
+  PORT: 5001
+
+jobs:
+  setup-build-publish-deploy:
+    name: Setup, Build, Publish, and Deploy
+    runs-on: ubuntu-latest
+    environment: production
+    steps:
+
+    - name: Checkout
+      uses: actions/checkout@v4
+
+    # Download and Install IBM Cloud CLI
+    - name: Install IBM Cloud CLI
+      run: |
+        curl -fsSL https://clis.cloud.ibm.com/install/linux | sh
+        ibmcloud --version
+        ibmcloud config --check-version=false
+        ibmcloud plugin install -f kubernetes-service
+        ibmcloud plugin install -f container-registry
+
+    # Authenticate with IBM Cloud CLI
+    - name: Authenticate with IBM Cloud CLI
+      run: |
+        ibmcloud login --apikey "${IBM_CLOUD_API_KEY}" -r "${IBM_CLOUD_REGION}" -g default
+        ibmcloud cr region-set "${IBM_CLOUD_REGION}"
+        ibmcloud cr login
+
+    # Build the Docker image
+    - name: Build with Docker
+      run: |
+        docker build -t "$REGISTRY_HOSTNAME"/"$ICR_NAMESPACE"/"$IMAGE_NAME":"$GITHUB_SHA" \
+          --build-arg GITHUB_SHA="$GITHUB_SHA" \
+          --build-arg GITHUB_REF="$GITHUB_REF" .
+
+    # Push the image to IBM Container Registry
+    - name: Push the image to ICR
+      run: |
+        docker push $REGISTRY_HOSTNAME/$ICR_NAMESPACE/$IMAGE_NAME:$GITHUB_SHA
+
+    # Deploy the Docker image to the IKS cluster
+    - name: Deploy to IKS
+      run: |
+        ibmcloud ks cluster config --cluster $IKS_CLUSTER
+        kubectl config current-context
+        kubectl create deployment $DEPLOYMENT_NAME --image=$REGISTRY_HOSTNAME/$ICR_NAMESPACE/$IMAGE_NAME:$GITHUB_SHA --dry-run -o yaml > deployment.yaml
+        kubectl apply -f deployment.yaml
+        kubectl rollout status deployment/$DEPLOYMENT_NAME
+        kubectl create service loadbalancer $DEPLOYMENT_NAME --tcp=80:$PORT --dry-run -o yaml > service.yaml
+        kubectl apply -f service.yaml
+        kubectl get services -o wide

.github/workflows/msbuild.yml

@@ -0,0 +1,44 @@
+# 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.
+
+name: MSBuild
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+env:
+  # Path to the solution file relative to the root of the project.
+  SOLUTION_FILE_PATH: .
+
+  # Configuration type to build.
+  # You can convert this to a build matrix if you need coverage of multiple configuration types.
+  # https://docs.github.com/actions/learn-github-actions/managing-complex-workflows#using-a-build-matrix
+  BUILD_CONFIGURATION: Release
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: windows-latest
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Add MSBuild to PATH
+      uses: microsoft/setup-msbuild@v1.0.2
+
+    - name: Restore NuGet packages
+      working-directory: ${{env.GITHUB_WORKSPACE}}
+      run: nuget restore ${{env.SOLUTION_FILE_PATH}}
+
+    - name: Build
+      working-directory: ${{env.GITHUB_WORKSPACE}}
+      # Add additional options to the MSBuild command line here (like platform or verbosity level).
+      # See https://docs.microsoft.com/visualstudio/msbuild/msbuild-command-line-reference
+      run: msbuild /m /p:Configuration=${{env.BUILD_CONFIGURATION}} ${{env.SOLUTION_FILE_PATH}}

.github/workflows/pylint.yml

@@ -0,0 +1,23 @@
+name: Pylint
+
+on: [push]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.8", "3.9", "3.10"]
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pylint
+    - name: Analysing the code with pylint
+      run: |
+        pylint $(git ls-files '*.py')

.github/workflows/python-app.yml

@@ -0,0 +1,39 @@
+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python application
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.10"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest