Exercise - Seed a storage account and database

  • 14 minutes

You updated your workflow to build and deploy your website's application to the Azure App Service app defined in your Bicep file. But the smoke test job is failing because the database isn't working yet. In this unit, you'll deploy a new Azure SQL logical server and database, and you'll configure your workflow to build and deploy the database's schema. You'll also update your workflow to add some sample product data for your test environment so that your team can try out the website.

In the process, you'll:

  • Add a blob container to the Azure storage account.
  • Add an Azure SQL logical server and database.
  • Update the build job to build the database project into a DACPAC file.
  • Add new variables and secrets for the Azure SQL logical server and database.
  • Update your workflow to use the new variables and secrets.
  • Add new workflow steps to deploy your DACPAC file.
  • Run the workflow and view the website.

Add a storage container

Your Bicep file already defines a storage account, but it doesn't define a blob container. Here, you add a blob container to your Bicep file. You also provide the name of the storage account and blob container to the application by using its configuration settings. That way, the app knows which storage account to access.

  1. In Visual Studio Code, open the main.bicep file in the deploy folder.

  2. Below the variables that define resource names (near line 27), add a new variable definition for the blob storage container's name:

    var storageAccountImagesBlobContainerName = 'toyimages'

  3. Update the storageAccount resource to define the blob container:

    resource storageAccount 'Microsoft.Storage/storageAccounts@2022-09-01' = {
  name: storageAccountName
  location: location
  kind: 'StorageV2'
  sku: environmentConfigurationMap[environmentType].storageAccount.sku

  resource blobService 'blobServices' = {
    name: 'default'

    resource storageAccountImagesBlobContainer 'containers' = {
      name: storageAccountImagesBlobContainerName

      properties: {
        publicAccess: 'Blob'
      }
    }
  }
}

  4. Update the app's appSettings property to add two new application settings, one for the storage account name and one for the blob container name:

    resource appServiceApp 'Microsoft.Web/sites@2022-03-01' = {
  name: appServiceAppName
  location: location
  properties: {
    serverFarmId: appServicePlan.id
    httpsOnly: true
    siteConfig: {
      appSettings: [
        {
          name: 'APPINSIGHTS_INSTRUMENTATIONKEY'
          value: applicationInsights.properties.InstrumentationKey
        }
        {
          name: 'APPLICATIONINSIGHTS_CONNECTION_STRING'
          value: applicationInsights.properties.ConnectionString
        }
        {
          name: 'ReviewApiUrl'
          value: reviewApiUrl
        }
        {
          name: 'ReviewApiKey'
          value: reviewApiKey
        }
        {
          name: 'StorageAccountName'
          value: storageAccount.name
        }
        {
          name: 'StorageAccountBlobEndpoint'
          value: storageAccount.properties.primaryEndpoints.blob
        }
        {
          name: 'StorageAccountImagesContainerName'
          value: storageAccount::blobService::storageAccountImagesBlobContainer.name
        }
      ]
    }
  }
}

  5. At the end of the file contents, add new outputs to expose the names of the storage account and blob container:

    output storageAccountName string = storageAccount.name
output storageAccountImagesBlobContainerName string = storageAccount::blobService::storageAccountImagesBlobContainer.name

  6. Save your changes to the file.

  7. Commit your changes to your Git repository, but don't push them yet. In the Visual Studio Code terminal, run the following commands:

    git add .
git commit -m "Add storage container"

Add an Azure SQL logical server and database

Your Bicep file doesn't currently deploy an Azure SQL logical server or database. In this section, you add these resources to your Bicep file.

  1. In the main.bicep file, add two new parameters below the reviewApiKey parameter near the top of the file:

    @description('The administrator login username for the SQL server.')
param sqlServerAdministratorLogin string

@secure()
@description('The administrator login password for the SQL server.')
param sqlServerAdministratorLoginPassword string

  2. Below the variables that define resource names, add new variables to define the names of your Azure SQL logical server and database:

    var sqlServerName = 'toy-website-${resourceNameSuffix}'
var sqlDatabaseName = 'Toys'

  3. Below the variables you just added, define a new variable that creates a connection string for the application to access the database:

    // Define the connection string to access Azure SQL.
var sqlDatabaseConnectionString = 'Server=tcp:${sqlServer.properties.fullyQualifiedDomainName},1433;Initial Catalog=${sqlDatabase.name};Persist Security Info=False;User ID=${sqlServerAdministratorLogin};Password=${sqlServerAdministratorLoginPassword};MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=False;Connection Timeout=30;'

    Note

    For simplicity, the application uses the administrator login and password to access the database. This isn't good practice for a production solution, though. It's better to use an App Service managed identity to access the database, and grant the managed identity the minimum permissions needed by the application. We link to more information in the Summary page at the end of the module.

  4. Near the end of the file contents, above the outputs, add the Azure SQL logical server and database resources:

    resource sqlServer 'Microsoft.Sql/servers@2022-05-01-preview' = {
  name: sqlServerName
  location: location
  properties: {
    administratorLogin: sqlServerAdministratorLogin
    administratorLoginPassword: sqlServerAdministratorLoginPassword
  }
}

resource sqlServerFirewallRule 'Microsoft.Sql/servers/firewallRules@2022-05-01-preview' = {
  parent: sqlServer
  name: 'AllowAllWindowsAzureIps'
  properties: {
    endIpAddress: '0.0.0.0'
    startIpAddress: '0.0.0.0'
  }
}

resource sqlDatabase 'Microsoft.Sql/servers/databases@2022-05-01-preview' = {
  parent: sqlServer
  name: sqlDatabaseName
  location: location
  sku: environmentConfigurationMap[environmentType].sqlDatabase.sku
}

  5. Update the environmentConfigurationMap variable to define the SKUs to use for your database for each environment:

    var environmentConfigurationMap = {
  Production: {
    appServicePlan: {
      sku: {
        name: 'S1'
        capacity: 1
      }
    }
    storageAccount: {
      sku: {
        name: 'Standard_LRS'
      }
    }
    sqlDatabase: {
      sku: {
        name: 'Standard'
        tier: 'Standard'
      }
    }
  }
  Test: {
    appServicePlan: {
      sku: {
        name: 'F1'
      }
    }
    storageAccount: {
      sku: {
        name: 'Standard_GRS'
      }
    }
    sqlDatabase: {
      sku: {
        name: 'Standard'
        tier: 'Standard'
      }
    }
  }
}

  6. Add another app setting to your App Service app for the database connection string:

    resource appServiceApp 'Microsoft.Web/sites@2022-03-01' = {
  name: appServiceAppName
  location: location
  properties: {
    serverFarmId: appServicePlan.id
    httpsOnly: true
    siteConfig: {
      appSettings: [
        {
          name: 'APPINSIGHTS_INSTRUMENTATIONKEY'
          value: applicationInsights.properties.InstrumentationKey
        }
        {
          name: 'APPLICATIONINSIGHTS_CONNECTION_STRING'
          value: applicationInsights.properties.ConnectionString
        }
        {
          name: 'ReviewApiUrl'
          value: reviewApiUrl
        }
        {
          name: 'ReviewApiKey'
          value: reviewApiKey
        }
        {
          name: 'StorageAccountName'
          value: storageAccount.name
        }
        {
          name: 'StorageAccountBlobEndpoint'
          value: storageAccount.properties.primaryEndpoints.blob
        }
        {
          name: 'StorageAccountImagesContainerName'
          value: storageAccount::blobService::storageAccountImagesBlobContainer.name
        }
        {
          name: 'SqlDatabaseConnectionString'
          value: sqlDatabaseConnectionString
        }
      ]
    }
  }
}

  7. At the bottom of the file, add outputs to expose the host name of the Azure SQL logical server and the name of the database:

    output appServiceAppName string = appServiceApp.name
output appServiceAppHostName string = appServiceApp.properties.defaultHostName
output storageAccountName string = storageAccount.name
output storageAccountImagesBlobContainerName string = storageAccount::blobService::storageAccountImagesBlobContainer.name
output sqlServerFullyQualifiedDomainName string = sqlServer.properties.fullyQualifiedDomainName
output sqlDatabaseName string = sqlDatabase.name

  8. Save your changes to the file.

Add new build steps for the database project

Your website developers have prepared a Visual Studio database project that deploys and configures your website database table. Here, you update your workflow build called workflow to build the database project into a DACPAC file and upload it as a workflow artifact.

  1. Open the build.yml file in the .github/workflows folder.

  2. To build the Visual Studio database project and upload the generated DACPAC file as a workflow artifact, add the build-database job:

    name: build-website

on:
  workflow_call:

jobs:
  build-application:
    name: Build application
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3

    - name: Install .NET Core
      uses: actions/setup-dotnet@v3
      with:
        dotnet-version: 3.1

    - name: Build publishable website
      run: |
        dotnet publish --configuration Release
      working-directory: ./src/ToyCompany/ToyCompany.Website

    - name: Zip publishable website
      run: |
        zip -r publish.zip .
      working-directory: ./src/ToyCompany/ToyCompany.Website/bin/Release/netcoreapp3.1/publish

    - name: Upload website as workflow artifact
      uses: actions/upload-artifact@v3
      with:
        name: website
        path: ./src/ToyCompany/ToyCompany.Website/bin/Release/netcoreapp3.1/publish/publish.zip

  build-database:
    name: Build database
    runs-on: windows-latest
    steps:
    - uses: actions/checkout@v3

    - name: Prepare MSBuild
      uses: microsoft/setup-msbuild@v1.1

    - name: Build database project
      working-directory: ./src/ToyCompany/ToyCompany.Database
      run: MSBuild.exe ToyCompany.Database.sqlproj -property:Configuration=Release

    - name: Upload website as workflow artifact
      uses: actions/upload-artifact@v3
      with:
        name: database
        path: ./src/ToyCompany/ToyCompany.Database/bin/Release/ToyCompany.Database.dacpac

    The build-database job uses a Windows runner. Currently, Visual Studio database projects must be built on the Windows operating system.

  3. Save your changes to the file.

Define the secrets

You need to securely store your Azure SQL logical server's administrator password for each environment. You decide to use GitHub secrets to protect the information.

  1. In your browser, go to Settings > Secrets > Actions.

    Screenshot of GitHub that shows the Secrets menu item under the Settings category.

  2. Select the New repository secret button.

  3. Enter SQL_SERVER_ADMINISTRATOR_LOGIN_PASSWORD_TEST as the secret name, and SecurePassword!111 as the value.

    Screenshot of GitHub showing a new secret.

  4. Select Add secret.

  5. Repeat the process to add another secret named SQL_SERVER_ADMINISTRATOR_LOGIN_PASSWORD_PRODUCTION as the secret name, and SecurePassword!999 as the value. Select Add secret.

Add the secrets and inputs to your workflow

  1. In Visual Studio Code, open the deploy.yml file in the .github/workflows folder.

  2. At the top of the file, define a new input named sqlServerAdministratorLogin, and a new secret named sqlServerAdministratorLoginPassword:

    name: deploy

on:
  workflow_call:
    inputs:
      environmentType:
        required: true
        type: string
      resourceGroupName:
        required: true
        type: string
      reviewApiUrl:
        required: true
        type: string
      sqlServerAdministratorLogin:
        required: true
        type: string
    secrets:
      AZURE_CLIENT_ID:
        required: true
      AZURE_TENANT_ID:
        required: true
      AZURE_SUBSCRIPTION_ID:
        required: true
      reviewApiKey:
        required: true
      sqlServerAdministratorLoginPassword:
        required: true

  3. Save your changes to the file.

  4. Open the workflow.yml file.

  5. In the deploy-test definition, define a value for the sqlServerAdministratorLogin input, and propagate the value for the sqlServerAdministratorLoginPassword secret:

    # Deploy to the test environment.
deploy-test:
  uses: ./.github/workflows/deploy.yml
  needs: [build, lint]
  with:
    environmentType: Test
    resourceGroupName: ToyWebsiteTest
    reviewApiUrl: https://sandbox.contoso.com/reviews
    sqlServerAdministratorLogin: TestToyCompanyAdmin
  secrets:
    AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID_TEST }}
    AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
    AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    reviewApiKey: ${{ secrets.REVIEW_API_KEY_TEST }}
    sqlServerAdministratorLoginPassword: ${{ secrets.SQL_SERVER_ADMINISTRATOR_LOGIN_PASSWORD_TEST }}

  6. Repeat the process in the deploy-production definition, with the production environment's values:

    # Deploy to the production environment.
deploy-production:
  uses: ./.github/workflows/deploy.yml
  needs:
  - lint
  - build
  - deploy-test
  with:
    environmentType: Production
    resourceGroupName: ToyWebsiteProduction
    reviewApiUrl: https://api.contoso.com/reviews
    sqlServerAdministratorLogin: ToyCompanyAdmin
  secrets:
    AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID_PRODUCTION }}
    AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
    AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    reviewApiKey: ${{ secrets.REVIEW_API_KEY_PRODUCTION }}
    sqlServerAdministratorLoginPassword: ${{ secrets.SQL_SERVER_ADMINISTRATOR_LOGIN_PASSWORD_PRODUCTION }}

  7. Save your changes to the file.

Add parameter values and outputs

The Bicep file now has two new mandatory parameters: sqlServerAdministratorLogin and sqlServerAdministratorLoginPassword. Here, you propagate those parameter values from your workflow inputs and secrets, for the validate and deploy jobs. You also propagate the Bicep deployments's outputs to the job's outputs.

  1. Open the deploy.yml file.

  2. Update the validate job's Run preflight validation step to add the new parameters:

    jobs:
  validate:
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v3
     - uses: azure/login@v1
       name: Sign in to Azure
       with:
         client-id: ${{ secrets.AZURE_CLIENT_ID }}
         tenant-id: ${{ secrets.AZURE_TENANT_ID }}
         subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
     - if: inputs.environmentType != 'Production'
       uses: azure/arm-deploy@v1
       name: Run preflight validation
       with:
         deploymentName: ${{ github.run_number }}
         resourceGroupName: ${{ inputs.resourceGroupName }}
         template: ./deploy/main.bicep
         parameters: >
           environmentType=${{ inputs.environmentType }}
           reviewApiUrl=${{ inputs.reviewApiUrl }}
           reviewApiKey=${{ secrets.reviewApiKey }}
           sqlServerAdministratorLogin=${{ inputs.sqlServerAdministratorLogin }}
           sqlServerAdministratorLoginPassword=${{ secrets.sqlServerAdministratorLoginPassword }}
         deploymentMode: Validate

  3. Update the Run what-if step to add the new parameters:

    - if: inputs.environmentType == 'Production'
  uses: azure/arm-deploy@v1
  name: Run what-if
  with:
    failOnStdErr: false
    resourceGroupName: ${{ inputs.resourceGroupName }}
    template: ./deploy/main.bicep
    parameters: >
      environmentType=${{ inputs.environmentType }}
      reviewApiUrl=${{ inputs.reviewApiUrl }}
      reviewApiKey=${{ secrets.reviewApiKey }}
      sqlServerAdministratorLogin=${{ inputs.sqlServerAdministratorLogin }}
      sqlServerAdministratorLoginPassword=${{ secrets.sqlServerAdministratorLoginPassword }}
    additionalArguments: --what-if

  4. Update the deploy job's Deploy Bicep file step to add the new parameters:

    deploy:
  needs: validate
  environment: ${{ inputs.environmentType }}
  runs-on: ubuntu-latest
  outputs:
    appServiceAppName: ${{ steps.deploy.outputs.appServiceAppName }}
    appServiceAppHostName: ${{ steps.deploy.outputs.appServiceAppHostName }}
  steps:
  - uses: actions/checkout@v3
  - uses: azure/login@v1
    name: Sign in to Azure
    with:
      client-id: ${{ secrets.AZURE_CLIENT_ID }}
      tenant-id: ${{ secrets.AZURE_TENANT_ID }}
      subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
  - uses: azure/arm-deploy@v1
    id: deploy
    name: Deploy Bicep file
    with:
      failOnStdErr: false
      deploymentName: ${{ github.run_number }}
      resourceGroupName: ${{ inputs.resourceGroupName }}
      template: ./deploy/main.bicep
      parameters: >
         environmentType=${{ inputs.environmentType }}
         reviewApiUrl=${{ inputs.reviewApiUrl }}
         reviewApiKey=${{ secrets.reviewApiKey }}
         sqlServerAdministratorLogin=${{ inputs.sqlServerAdministratorLogin }}
         sqlServerAdministratorLoginPassword=${{ secrets.sqlServerAdministratorLoginPassword }}

  5. In the deploy job's definition, add new outputs for the Bicep file's outputs:

    deploy:
  needs: validate
  environment: ${{ inputs.environmentType }}
  runs-on: ubuntu-latest
  outputs:
    appServiceAppName: ${{ steps.deploy.outputs.appServiceAppName }}
    appServiceAppHostName: ${{ steps.deploy.outputs.appServiceAppHostName }}
    storageAccountName: ${{ steps.deploy.outputs.storageAccountName }}
    storageAccountImagesBlobContainerName: ${{ steps.deploy.outputs.storageAccountImagesBlobContainerName }}
    sqlServerFullyQualifiedDomainName: ${{ steps.deploy.outputs.sqlServerFullyQualifiedDomainName }}
    sqlDatabaseName: ${{ steps.deploy.outputs.sqlDatabaseName }}

Add database and data seed jobs

In this section, you define the steps that are required to deploy the database components of your website. First, you add a step to deploy the DACPAC file that the workflow previously built. Then, you add sample data to the database and storage account, but only for non-production environments.

  1. Below the deploy-website job, add a new job to deploy the DACPAC file:

    deploy-database:
  needs: deploy
  environment: ${{ inputs.environmentType }}
  runs-on: ubuntu-latest
  steps:
  - uses: actions/download-artifact@v3
  - uses: azure/login@v1
    name: Sign in to Azure
    with:
      client-id: ${{ secrets.AZURE_CLIENT_ID }}
      tenant-id: ${{ secrets.AZURE_TENANT_ID }}
      subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
  - uses: azure/sql-action@v1.2
    name: Deploy DACPAC to database
    with:
      server-name: ${{ needs.deploy.outputs.sqlServerFullyQualifiedDomainName }}
      connection-string: ${{ format('Server={0};Initial Catalog={1};User Id={2};Password={3};', needs.deploy.outputs.sqlServerFullyQualifiedDomainName, needs.deploy.outputs.sqlDatabaseName, inputs.sqlServerAdministratorLogin, secrets.sqlServerAdministratorLoginPassword) }}
      dacpac-package: database/ToyCompany.Database.dacpac

  2. Below the job you just added, and above the smoke-test job, define a new job to seed the database with sample data.

    seed-database:
  needs:
  - deploy
  - deploy-database
  environment: ${{ inputs.environmentType }}
  runs-on: ubuntu-latest
  steps:
  - uses: actions/checkout@v3
  - uses: azure/login@v1
    name: Sign in to Azure
    with:
      client-id: ${{ secrets.AZURE_CLIENT_ID }}
      tenant-id: ${{ secrets.AZURE_TENANT_ID }}
      subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
  - if: inputs.environmentType != 'Production'
    uses: azure/sql-action@v1.2
    name: Add test data to database
    with:
      server-name: ${{ needs.deploy.outputs.sqlServerFullyQualifiedDomainName }}
      connection-string: ${{ format('Server={0};Initial Catalog={1};User Id={2};Password={3};', needs.deploy.outputs.sqlServerFullyQualifiedDomainName, needs.deploy.outputs.sqlDatabaseName, inputs.sqlServerAdministratorLogin, secrets.sqlServerAdministratorLoginPassword) }}
      sql-file: 'deploy/sample-data/Toys.sql'

    Notice that the Add test data to database step has a condition applied to it. That is, it runs only for non-production environments. The condition is applied to the step, not to the whole job, so that later jobs can depend on this job regardless of the environment type.

  3. Below the job you just added, and above the smoke-test job, define another job to upload some sample toy images to the blob container by using Azure CLI:

    seed-storage-account:
  needs: deploy
  environment: ${{ inputs.environmentType }}
  runs-on: ubuntu-latest
  steps:
  - uses: actions/checkout@v3
  - uses: azure/login@v1
    name: Sign in to Azure
    with:
      client-id: ${{ secrets.AZURE_CLIENT_ID }}
      tenant-id: ${{ secrets.AZURE_TENANT_ID }}
      subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
  - if: inputs.environmentType != 'Production'
    uses: azure/CLI@v1
    name: Upload sample images
    with:
      inlineScript: |
          az storage blob upload-batch \
            --account-name ${{ needs.deploy.outputs.storageAccountName }} \
            --destination ${{ needs.deploy.outputs.storageAccountImagesBlobContainerName }} \
            --source 'deploy/sample-data/toyimages'

    Notice that this job uses an Ubuntu runner, because the azure/cli action requires Linux to run. But the build-database job you defined earlier uses a Windows runner to build the database project. This workflow is a good example of using various operating systems to achieve your requirements.

Update the dependencies for the smoke test job

  1. Update the smoke-test job's dependencies to ensure it runs after all of the deployment steps are completed:

    smoke-test:
  runs-on: ubuntu-latest
  needs:
  - deploy
  - deploy-website
  - deploy-database
  - seed-database
  - seed-storage-account
  steps:
  - uses: actions/checkout@v3
  - run: |
      $container = New-PesterContainer `
        -Path 'deploy/Website.Tests.ps1' `
        -Data @{ HostName = '${{needs.deploy.outputs.appServiceAppHostName}}' }
      Invoke-Pester `
        -Container $container `
        -CI
    name: Run smoke tests
    shell: pwsh

  2. Save your changes to the file.

Verify files and commit your changes

  1. Verify that your main.bicep file looks like this:

    @description('The location into which your Azure resources should be deployed.')
param location string = resourceGroup().location

@description('Select the type of environment you want to provision. Allowed values are Production and Test.')
@allowed([
  'Production'
  'Test'
])
param environmentType string

@description('A unique suffix to add to resource names that need to be globally unique.')
@maxLength(13)
param resourceNameSuffix string = uniqueString(resourceGroup().id)

@description('The URL to the product review API.')
param reviewApiUrl string

@secure()
@description('The API key to use when accessing the product review API.')
param reviewApiKey string

@description('The administrator login username for the SQL server.')
param sqlServerAdministratorLogin string

@secure()
@description('The administrator login password for the SQL server.')
param sqlServerAdministratorLoginPassword string

// Define the names for resources.
var appServiceAppName = 'toy-website-${resourceNameSuffix}'
var appServicePlanName = 'toy-website'
var logAnalyticsWorkspaceName = 'workspace-${resourceNameSuffix}'
var applicationInsightsName = 'toywebsite'
var storageAccountName = 'mystorage${resourceNameSuffix}'
var storageAccountImagesBlobContainerName = 'toyimages'
var sqlServerName = 'toy-website-${resourceNameSuffix}'
var sqlDatabaseName = 'Toys'

// Define the connection string to access Azure SQL.
var sqlDatabaseConnectionString = 'Server=tcp:${sqlServer.properties.fullyQualifiedDomainName},1433;Initial Catalog=${sqlDatabase.name};Persist Security Info=False;User ID=${sqlServerAdministratorLogin};Password=${sqlServerAdministratorLoginPassword};MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=False;Connection Timeout=30;'

// Define the SKUs for each component based on the environment type.
var environmentConfigurationMap = {
  Production: {
    appServicePlan: {
      sku: {
        name: 'S1'
        capacity: 1
      }
    }
    storageAccount: {
      sku: {
        name: 'Standard_LRS'
      }
    }
    sqlDatabase: {
      sku: {
        name: 'Standard'
        tier: 'Standard'
      }
    }
  }
  Test: {
    appServicePlan: {
      sku: {
        name: 'F1'
      }
    }
    storageAccount: {
      sku: {
        name: 'Standard_GRS'
      }
    }
    sqlDatabase: {
      sku: {
        name: 'Standard'
        tier: 'Standard'
      }
    }
  }
}

resource appServicePlan 'Microsoft.Web/serverfarms@2022-03-01' = {
  name: appServicePlanName
  location: location
  sku: environmentConfigurationMap[environmentType].appServicePlan.sku
}

resource appServiceApp 'Microsoft.Web/sites@2022-03-01' = {
  name: appServiceAppName
  location: location
  properties: {
    serverFarmId: appServicePlan.id
    httpsOnly: true
    siteConfig: {
      appSettings: [
        {
          name: 'APPINSIGHTS_INSTRUMENTATIONKEY'
          value: applicationInsights.properties.InstrumentationKey
        }
        {
          name: 'APPLICATIONINSIGHTS_CONNECTION_STRING'
          value: applicationInsights.properties.ConnectionString
        }
        {
          name: 'ReviewApiUrl'
          value: reviewApiUrl
        }
        {
          name: 'ReviewApiKey'
          value: reviewApiKey
        }
        {
          name: 'StorageAccountName'
          value: storageAccount.name
        }
        {
          name: 'StorageAccountBlobEndpoint'
          value: storageAccount.properties.primaryEndpoints.blob
        }
        {
          name: 'StorageAccountImagesContainerName'
          value: storageAccount::blobService::storageAccountImagesBlobContainer.name
        }
        {
          name: 'SqlDatabaseConnectionString'
          value: sqlDatabaseConnectionString
        }
      ]
    }
  }
}

resource logAnalyticsWorkspace 'Microsoft.OperationalInsights/workspaces@2022-10-01' = {
  name: logAnalyticsWorkspaceName
  location: location
}

resource applicationInsights 'Microsoft.Insights/components@2020-02-02' = {
  name: applicationInsightsName
  location: location
  kind: 'web'
  properties: {
    Application_Type: 'web'
    Request_Source: 'rest'
    Flow_Type: 'Bluefield'
    WorkspaceResourceId: logAnalyticsWorkspace.id
  }
}

resource storageAccount 'Microsoft.Storage/storageAccounts@2022-09-01' = {
  name: storageAccountName
  location: location
  kind: 'StorageV2'
  sku: environmentConfigurationMap[environmentType].storageAccount.sku

  resource blobService 'blobServices' = {
    name: 'default'

    resource storageAccountImagesBlobContainer 'containers' = {
      name: storageAccountImagesBlobContainerName

      properties: {
        publicAccess: 'Blob'
      }
    }
  }
}

resource sqlServer 'Microsoft.Sql/servers@2022-05-01-preview' = {
  name: sqlServerName
  location: location
  properties: {
    administratorLogin: sqlServerAdministratorLogin
    administratorLoginPassword: sqlServerAdministratorLoginPassword
  }
}

resource sqlServerFirewallRule 'Microsoft.Sql/servers/firewallRules@2022-05-01-preview' = {
  parent: sqlServer
  name: 'AllowAllWindowsAzureIps'
  properties: {
    endIpAddress: '0.0.0.0'
    startIpAddress: '0.0.0.0'
  }
}

resource sqlDatabase 'Microsoft.Sql/servers/databases@2022-05-01-preview' = {
  parent: sqlServer
  name: sqlDatabaseName
  location: location
  sku: environmentConfigurationMap[environmentType].sqlDatabase.sku
}

output appServiceAppName string = appServiceApp.name
output appServiceAppHostName string = appServiceApp.properties.defaultHostName
output storageAccountName string = storageAccount.name
output storageAccountImagesBlobContainerName string = storageAccount::blobService::storageAccountImagesBlobContainer.name
output sqlServerFullyQualifiedDomainName string = sqlServer.properties.fullyQualifiedDomainName
output sqlDatabaseName string = sqlDatabase.name

    If it doesn't, update it to match the file contents.

  2. Verify that your deploy.yml file looks like this:

    name: deploy

on:
  workflow_call:
    inputs:
      environmentType:
        required: true
        type: string
      resourceGroupName:
        required: true
        type: string
      reviewApiUrl:
        required: true
        type: string
      sqlServerAdministratorLogin:
        required: true
        type: string
    secrets:
      AZURE_CLIENT_ID:
        required: true
      AZURE_TENANT_ID:
        required: true
      AZURE_SUBSCRIPTION_ID:
        required: true
      reviewApiKey:
        required: true
      sqlServerAdministratorLoginPassword:
        required: true

jobs:
  validate:
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v3
     - uses: azure/login@v1
       name: Sign in to Azure
       with:
         client-id: ${{ secrets.AZURE_CLIENT_ID }}
         tenant-id: ${{ secrets.AZURE_TENANT_ID }}
         subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
     - if: inputs.environmentType != 'Production'
       uses: azure/arm-deploy@v1
       name: Run preflight validation
       with:
         deploymentName: ${{ github.run_number }}
         resourceGroupName: ${{ inputs.resourceGroupName }}
         template: ./deploy/main.bicep
         parameters: >
           environmentType=${{ inputs.environmentType }}
           reviewApiUrl=${{ inputs.reviewApiUrl }}
           reviewApiKey=${{ secrets.reviewApiKey }}
           sqlServerAdministratorLogin=${{ inputs.sqlServerAdministratorLogin }}
           sqlServerAdministratorLoginPassword=${{ secrets.sqlServerAdministratorLoginPassword }}
         deploymentMode: Validate
     - if: inputs.environmentType == 'Production'
       uses: azure/arm-deploy@v1
       name: Run what-if
       with:
         failOnStdErr: false
         resourceGroupName: ${{ inputs.resourceGroupName }}
         template: ./deploy/main.bicep
         parameters: >
           environmentType=${{ inputs.environmentType }}
           reviewApiUrl=${{ inputs.reviewApiUrl }}
           reviewApiKey=${{ secrets.reviewApiKey }}
           sqlServerAdministratorLogin=${{ inputs.sqlServerAdministratorLogin }}
           sqlServerAdministratorLoginPassword=${{ secrets.sqlServerAdministratorLoginPassword }}
         additionalArguments: --what-if

  deploy:
    needs: validate
    environment: ${{ inputs.environmentType }}
    runs-on: ubuntu-latest
    outputs:
      appServiceAppName: ${{ steps.deploy.outputs.appServiceAppName }}
      appServiceAppHostName: ${{ steps.deploy.outputs.appServiceAppHostName }}
      storageAccountName: ${{ steps.deploy.outputs.storageAccountName }}
      storageAccountImagesBlobContainerName: ${{ steps.deploy.outputs.storageAccountImagesBlobContainerName }}
      sqlServerFullyQualifiedDomainName: ${{ steps.deploy.outputs.sqlServerFullyQualifiedDomainName }}
      sqlDatabaseName: ${{ steps.deploy.outputs.sqlDatabaseName }}
    steps:
    - uses: actions/checkout@v3
    - uses: azure/login@v1
      name: Sign in to Azure
      with:
        client-id: ${{ secrets.AZURE_CLIENT_ID }}
        tenant-id: ${{ secrets.AZURE_TENANT_ID }}
        subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    - uses: azure/arm-deploy@v1
      id: deploy
      name: Deploy Bicep file
      with:
        failOnStdErr: false
        deploymentName: ${{ github.run_number }}
        resourceGroupName: ${{ inputs.resourceGroupName }}
        template: ./deploy/main.bicep
        parameters: >
           environmentType=${{ inputs.environmentType }}
           reviewApiUrl=${{ inputs.reviewApiUrl }}
           reviewApiKey=${{ secrets.reviewApiKey }}
           sqlServerAdministratorLogin=${{ inputs.sqlServerAdministratorLogin }}
           sqlServerAdministratorLoginPassword=${{ secrets.sqlServerAdministratorLoginPassword }}

  deploy-website:
    needs: deploy
    environment: ${{ inputs.environmentType }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/download-artifact@v3
    - uses: azure/login@v1
      name: Sign in to Azure
      with:
        client-id: ${{ secrets.AZURE_CLIENT_ID }}
        tenant-id: ${{ secrets.AZURE_TENANT_ID }}
        subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    - uses: azure/webapps-deploy@v2
      name: Deploy website
      with:
        app-name: ${{ needs.deploy.outputs.appServiceAppName }}
        package: website/publish.zip

  deploy-database:
    needs: deploy
    environment: ${{ inputs.environmentType }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/download-artifact@v3
    - uses: azure/login@v1
      name: Sign in to Azure
      with:
        client-id: ${{ secrets.AZURE_CLIENT_ID }}
        tenant-id: ${{ secrets.AZURE_TENANT_ID }}
        subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    - uses: azure/sql-action@v1.2
      name: Deploy DACPAC to database
      with:
        server-name: ${{ needs.deploy.outputs.sqlServerFullyQualifiedDomainName }}
        connection-string: ${{ format('Server={0};Initial Catalog={1};User Id={2};Password={3};', needs.deploy.outputs.sqlServerFullyQualifiedDomainName, needs.deploy.outputs.sqlDatabaseName, inputs.sqlServerAdministratorLogin, secrets.sqlServerAdministratorLoginPassword) }}
        dacpac-package: database/ToyCompany.Database.dacpac

  seed-database:
    needs:
    - deploy
    - deploy-database
    environment: ${{ inputs.environmentType }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - uses: azure/login@v1
      name: Sign in to Azure
      with:
        client-id: ${{ secrets.AZURE_CLIENT_ID }}
        tenant-id: ${{ secrets.AZURE_TENANT_ID }}
        subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    - if: inputs.environmentType != 'Production'
      uses: azure/sql-action@v1.2
      name: Add test data to database
      with:
        server-name: ${{ needs.deploy.outputs.sqlServerFullyQualifiedDomainName }}
        connection-string: ${{ format('Server={0};Initial Catalog={1};User Id={2};Password={3};', needs.deploy.outputs.sqlServerFullyQualifiedDomainName, needs.deploy.outputs.sqlDatabaseName, inputs.sqlServerAdministratorLogin, secrets.sqlServerAdministratorLoginPassword) }}
        sql-file: 'deploy/sample-data/Toys.sql'

  seed-storage-account:
    needs: deploy
    environment: ${{ inputs.environmentType }}
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - uses: azure/login@v1
      name: Sign in to Azure
      with:
        client-id: ${{ secrets.AZURE_CLIENT_ID }}
        tenant-id: ${{ secrets.AZURE_TENANT_ID }}
        subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
    - if: inputs.environmentType != 'Production'
      uses: azure/CLI@v1
      name: Upload sample images
      with:
        inlineScript: |
            az storage blob upload-batch \
              --account-name ${{ needs.deploy.outputs.storageAccountName }} \
              --destination ${{ needs.deploy.outputs.storageAccountImagesBlobContainerName }} \
              --source 'deploy/sample-data/toyimages'

  smoke-test:
    runs-on: ubuntu-latest
    needs:
    - deploy
    - deploy-website
    - deploy-database
    - seed-database
    - seed-storage-account
    steps:
    - uses: actions/checkout@v3
    - run: |
        $container = New-PesterContainer `
          -Path 'deploy/Website.Tests.ps1' `
          -Data @{ HostName = '${{needs.deploy.outputs.appServiceAppHostName}}' }
        Invoke-Pester `
          -Container $container `
          -CI
      name: Run smoke tests
      shell: pwsh

    If it doesn't, update it to match the file contents.

  3. Save your changes to the file.

  4. Commit and push your changes to your Git repository. In the Visual Studio Code terminal, run the following commands:

    git add .
git commit -m "Add SQL database"
git push

Run the workflow

  1. In your browser, go to your workflow runs.

  2. Select the most recent run.

    Wait until all the jobs for the test environment finish successfully. Notice that the smoke test now also succeeds.

    Screenshot of GitHub Actions showing the workflow run's Smoke Test job for the test environment. The status shows that the job has succeeded.

  3. Wait until the workflow completes successfully, including the production deployment.

View the website

  1. Select the deploy-test / deploy-website job to open the workflow log.

  2. Select the Deploy website step.

    Hold down the Ctrl key (⌘ on macOS) and select the URL of the App Service app to open it in a new browser tab.

    Screenshot of GitHub Actions showing the workflow log for the test environment's deploy-website job. The URL of the App Service app is highlighted.

  3. Select Toys.

    Screenshot of the toy company website homepage, with the Toys link highlighted.

    Notice that sample data is displayed in the test environment.

    Screenshot of the test website's toy page, with the sample toys displayed.

  4. Repeat the preceding process for the deploy-production / deploy-website job's app.

    Notice that no sample data is displayed in the production environment.

    Screenshot of the production website's toy page, with no toys displayed.

Clean up resources

Now that you've completed the exercise, you'll want to remove the Azure resources so that you aren't billed for them.

In the Visual Studio Code terminal, run the following commands:

az group delete --resource-group ToyWebsiteTest --yes --no-wait
az group delete --resource-group ToyWebsiteProduction --yes --no-wait

The resource group is deleted in the background.

Remove-AzResourceGroup -Name ToyWebsiteTest -Force
Remove-AzResourceGroup -Name ToyWebsiteProduction -Force