Marián Košťál

In one of my post I wrote about creating infrastructure for Azure WebJob using PowerShell. It is imperative approach using PowerShell cmdlets. More DevOps friendly alternative to this is to use declarative approach together with infrastructure as code approach using Terraform. Infrastructure for Azure WebJob consists of following resources:

• App Service Plan – scalable cluster of web servers
• Web App – hosting environment running on App Service plan
• Storage Account – stores data about Azure WebJob execution
• Application Insights – monitoring

To create required Azure resources create file named main.tf and place following content into it:

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"
}

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
}

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"  
}

Then run terraform init command to download providers and initialize state. To see planned infrastructure changes run the terraform plan command. As a final step the infrastructure will be created using terraform apply command.
Azure WebJob requires some additional settings which can be done manually using Azure Portal, but it is possible to implement them in code. Next code snippet shows changes in azurerm_app_service resource where is disabled client affinity, added site config, instrumentation key for Application Insights and connection strings to Storage Account:

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"
  }  
}

With this changes are Azure resources prepared for deployment of Azure WebJob.

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.