Tag: Azure CLI

Create infrastructure for Azure WebJob using Bicep

In my previous posts I wrote about creating infrastructure for Azure WebJob using PowerShell or Terraform. Most recent approach for creating Azure resources is Azure Bicep. Bicep is a Domain Specific Language (DSL) for deploying Azure resources declaratively. Bicep code is transpiled to standard ARM Template. Bicep file for creating infrastructure for Azure WebJob is:

var baseName = resourceGroup().name
var baseNameLower = toLower(baseName)

resource appServicePlan 'Microsoft.Web/serverfarms@2018-02-01' = {
  name: baseName
  location: resourceGroup().location
  sku: {
    name: 'B1'
    capacity: 1
  }
}

resource appService 'Microsoft.Web/sites@2018-11-01' = {
  name: baseNameLower
  location: resourceGroup().location
  properties: {
    serverFarmId: appServicePlan.id
    clientAffinityEnabled: false
  }
}

resource config 'Microsoft.Web/sites/config@2018-11-01' = {
  parent: appService
  name: 'web'
  properties: {
    use32BitWorkerProcess: false
    alwaysOn: true
  }
}

resource appSettings 'Microsoft.Web/sites/config@2018-11-01' = {
  parent: appService
  name: 'appsettings'
  properties: {
    APPINSIGHTS_INSTRUMENTATIONKEY: appInsights.properties.InstrumentationKey
  }
}

resource connectionStrings 'Microsoft.Web/sites/config@2018-11-01' = {
  parent: appService
  name: 'connectionstrings'
  properties: {
    AzureWebJobsDashboard: {
      value: 'DefaultEndpointsProtocol=https;AccountName=${baseNameLower};AccountKey=${listKeys(storageAccounts.id, '2019-06-01').keys[0].value};EndpointSuffix=${environment().suffixes.storage}'
      type: 'Custom'
    }
    AzureWebJobsStorage: {
      value: 'DefaultEndpointsProtocol=https;AccountName=${baseNameLower};AccountKey=${listKeys(storageAccounts.id, '2019-06-01').keys[0].value};EndpointSuffix=${environment().suffixes.storage}'
      type: 'Custom'
    }
  }
}

resource storageAccounts 'Microsoft.Storage/storageAccounts@2019-06-01' = {
  name: baseNameLower
  location: resourceGroup().location
  kind: 'StorageV2'
  sku: {
    name: 'Standard_LRS'
    tier: 'Standard'
  }
}

resource appInsights 'Microsoft.Insights/components@2015-05-01' = {
  name: baseName
  location: resourceGroup().location
  kind: 'web'
  properties: {
    Application_Type: 'web'
  }
}

Resource group is then deployed using standart Azure CLI commands like using ARM template:

az group create --name WebJobTest --location westeurope
az deployment group create --resource-group WebJobTest --template-file azuredeploy.bicep --verbose

Deploy Azure WebJob using Terraform

In my previous post I wrote about creating infrastructure for Azure WebJob using Terraform. Using that solution is created empty infrastructure ready for deployment of Azure WebJob, but the deployment of Azure WebJob have to be done separately.


Udemy course: Migrate Windows service to Azure

Terraform provides also options to deploy Azure WebJob immediately after required Azure resources are created. It is posible by combination of Terraform provisioner together with Azure CLI command az webapp deployment as demonstrated in following code snippet:

resource "null_resource" "webjob" {
  provisioner "local-exec" {
    when = create
    command = "az webapp deployment source config-zip -g ${var.resource_group_name} -n ${var.resource_group_name} --src ${var.deployment_package}"
  }
  depends_on = [ azurerm_app_service.as ]
}

Terraform provisioner is executed locally at creation of resource and is placed in null_resource which has dependency on azurerm_app_service.as resource. Complete main.tf file which is responsible for creating Azure resources and then deployment of Azure WebJob is:

terraform {
  required_providers {
    azurerm = {
      source = "hashicorp/azurerm"
      version = ">= 2.0"
    }
  }
}

provider "azurerm" {
  features {}
}

variable "resource_group_name" {
  type = string
  description = "Resource group name"
  default = "WinServiceToAzureTest"
}

variable "location_name" {
  type = string
  description = "Resource location"
  default = "westeurope"
}

variable "deployment_package" {
  type = string
  description = "Deployment package"
  default = "Publish.zip"
}

resource "azurerm_resource_group" "rg" {
  name = var.resource_group_name
  location = var.location_name
}

resource "azurerm_app_service_plan" "asp" {
  name = var.resource_group_name
  location = azurerm_resource_group.rg.location
  resource_group_name = azurerm_resource_group.rg.name
  sku {
    tier = "Basic"
    size = "B1"
  }
}

resource "azurerm_app_service" "as" {
  name = var.resource_group_name
  location = azurerm_resource_group.rg.location
  resource_group_name = azurerm_resource_group.rg.name
  app_service_plan_id = azurerm_app_service_plan.asp.id
  client_affinity_enabled = false
  site_config {
    use_32_bit_worker_process = false
    always_on = true
  }
  app_settings = {
    "APPINSIGHTS_INSTRUMENTATIONKEY" = azurerm_application_insights.ai.instrumentation_key
  }
  connection_string {
    name = "AzureWebJobsDashboard"
    type = "Custom"
    value = "DefaultEndpointsProtocol=https;AccountName=${lower(var.resource_group_name)};AccountKey=${azurerm_storage_account.sa.primary_access_key};EndpointSuffix=core.windows.net"
  }
  connection_string {
    name = "AzureWebJobsStorage"
    type = "Custom"
    value = "DefaultEndpointsProtocol=https;AccountName=${lower(var.resource_group_name)};AccountKey=${azurerm_storage_account.sa.primary_access_key};EndpointSuffix=core.windows.net"
  }  
}

resource "azurerm_storage_account" "sa" {
  name = lower(var.resource_group_name)
  location = azurerm_resource_group.rg.location
  resource_group_name = azurerm_resource_group.rg.name  
  account_tier = "Standard"
  account_replication_type = "LRS"
}

resource "azurerm_application_insights" "ai" {
  name = var.resource_group_name
  location = azurerm_resource_group.rg.location
  resource_group_name = azurerm_resource_group.rg.name
  application_type = "web"  
}

resource "null_resource" "webjob" {
  provisioner "local-exec" {
    when = create
    command = "az webapp deployment source config-zip -g ${var.resource_group_name} -n ${var.resource_group_name} --src ${var.deployment_package}"
  }
  depends_on = [ azurerm_app_service.as ]
}

If you are interested in Azure WebJobs and how to use them to migrage Windows service to Azure, take my Udemy course Migrate Windows service to Azure.

Convert Windows service to Azure Function

In the past I wrote a post how to migrate Windows service to Azure using Azure WebJobs. Another option for migration of Windows service to Azure is to use Azure Functions.


Udemy course: Migrate Windows service to Azure

Windows service I want to migrate to Azure acts as runtime for execution of scheduled jobs using Timer, which run every 60 seconds to execute scheduled jobs. JobSchedulerService execute JobExecutor.Execute() method every 60 seconds as visible in source code of Windows service:

public partial class JobSchedulerService : ServiceBase
{
    private Timer timer;

    public JobSchedulerService()
    {
        InitializeComponent();
    }

    protected override void OnStart(string[] args)
    {
        timer = new Timer();
        timer.Elapsed += OnTimer;
        timer.Interval = 60 * 1000;
        timer.Start();
    }

    protected override void OnStop()
    {
        timer.Stop();
    }

    private void OnTimer(object sender, ElapsedEventArgs e)
    {
        JobExecutor.Execute();
    }
}

To convert Windows service to Azure Function, add new project to Visual Studio solution:

Visual Studio - Add a new project

Select Azure Functions v1 (.NET Framework) as version, because Windows service is build on .NET Framework 4.7.2. Then select Timer trigger, none Storage Account and enter schedule “0 * * * * *”, which is CRON expression for triggering run every 60 seconds.

Visual Studio - Create a new Azure Functions Application

Code changes in function are simple, only call of JobExecutor.Execute() is added into Run method:

public static class JobSchedulerFunction
{
    [FunctionName("JobSchedulerFunction")]
    public static void Run([TimerTrigger("0 * * * * *")]TimerInfo timer, TraceWriter log)
    {
        JobExecutor.Execute();
    }
}

Next step is to create Azure resources to run Azure Function using Azure CLI:

# Before running this script check if Application Insights extension is installed:
# az extension show --name application-insights
# If not installed, install it by:
# az extension add --name application-insights

az group create --name WinServiceToAzureTest --location westeurope

az storage account create --resource-group WinServiceToAzureTest --name winservicetoazuretest --sku Standard_LRS --kind StorageV2
az monitor app-insights component create --resource-group WinServiceToAzureTest --app WinServiceToAzureTest --location westeurope --kind web

az functionapp create --name WinServiceToAzureTest --resource-group WinServiceToAzureTest --storage-account winservicetoazuretest --app-insights WinServiceToAzureTest --consumption-plan-location westeurope --runtime dotnet
az functionapp config appsettings set --name WinServiceToAzureTest --resource-group WinServiceToAzureTest --settings "FUNCTIONS_EXTENSION_VERSION=~1"

After finishing of run is created new Resource Group, Storage Account, Application Insights and finally Function App. Important part is here to set Azure Functions runtime to version 1 using application setting FUNCTIONS_EXTENSION_VERSION.
Deployment of Azure Functions to Azure can be done by combination of PowerShell and Azure CLI:

Compress-Archive -Path .\bin\Release\net472\* -DestinationPath WindowsServiceToAzure.Job.Function.zip
az functionapp deployment source config-zip --resource-group WinServiceToAzureTest --name WinServiceToAzureTest --src .\WindowsServiceToAzure.Job.Function.zip

After deployment is Azure Function running, which is visible on Function App dashboard:

Azure Portal - Function App

Azure Function integration diagram displays function input and outputs:

Azure Portal - Function Integration

Detailed logs about the activity of Azure Function is visible in monitor:

Azure Portal - Function Monitor

Cleanup of used Azure resources can be done using Azure CLI:

az group delete --name WinServiceToAzureTest --yes -y

If you are interested in Windows services and how to migrate them to Azure, take my Udemy course Migrate Windows service to Azure.