Create an Azure virtual machine scale set using Terraform

บทความ
10/27/2023

Terraform enables the definition, preview, and deployment of cloud infrastructure. Using Terraform, you create configuration files using HCL syntax. The HCL syntax allows you to specify the cloud provider - such as Azure - and the elements that make up your cloud infrastructure. After you create your configuration files, you create an execution plan that allows you to preview your infrastructure changes before they're deployed. Once you verify the changes, you apply the execution plan to deploy the infrastructure.

Azure virtual machine scale sets allow you to configure identical VMs. The number of VM instances can adjust based on demand or a schedule. For more information, see Automatically scale a virtual machine scale set in the Azure portal.

In this article, you learn how to:

Set up a Terraform deployment
Use variables and outputs for Terraform deployment
Create and deploy network infrastructure
Create and deploy a virtual machine scale set and attach it to the network
Create and deploy a jumpbox to connect to the VMs via SSH

1. Configure your environment

Azure subscription: If you don't have an Azure subscription, create a free account before you begin.

Configure Terraform: If you haven't already done so, configure Terraform using one of the following options:

Create an SSH key pair: For more information, see How to create and use an SSH public and private key pair for Linux VMs in Azure.

2. Implement the Terraform code

Create a directory in which to test the sample Terraform code and make it the current directory.

Create a file named main.tf and insert the following code:

terraform {
  required_version = ">=0.12"

  required_providers {
    azurerm = {
      source  = "hashicorp/azurerm"
      version = "~>3.0"
    }
  }
}

provider "azurerm" {
  features {
    resource_group {
      prevent_deletion_if_contains_resources = false
    }
  }
}

resource "random_password" "password" {
  count  = var.admin_password == null ? 1 : 0
  length = 20
}

locals {
  admin_password = try(random_password.password[0].result, var.admin_password)
}

resource "azurerm_resource_group" "vmss" {
  name     = var.resource_group_name
  location = var.location
  tags     = var.tags
}

resource "random_string" "fqdn" {
  length  = 6
  special = false
  upper   = false
  numeric = false
}

resource "azurerm_virtual_network" "vmss" {
  name                = "vmss-vnet"
  address_space       = ["10.0.0.0/16"]
  location            = var.location
  resource_group_name = azurerm_resource_group.vmss.name
  tags                = var.tags
}

resource "azurerm_subnet" "vmss" {
  name                 = "vmss-subnet"
  resource_group_name  = azurerm_resource_group.vmss.name
  virtual_network_name = azurerm_virtual_network.vmss.name
  address_prefixes     = ["10.0.2.0/24"]
}

resource "azurerm_public_ip" "vmss" {
  name                = "vmss-public-ip"
  location            = var.location
  resource_group_name = azurerm_resource_group.vmss.name
  allocation_method   = "Static"
  domain_name_label   = random_string.fqdn.result
  tags                = var.tags
}

resource "azurerm_lb" "vmss" {
  name                = "vmss-lb"
  location            = var.location
  resource_group_name = azurerm_resource_group.vmss.name

  frontend_ip_configuration {
    name                 = "PublicIPAddress"
    public_ip_address_id = azurerm_public_ip.vmss.id
  }

  tags = var.tags
}

resource "azurerm_lb_backend_address_pool" "bpepool" {
  loadbalancer_id = azurerm_lb.vmss.id
  name            = "BackEndAddressPool"
}

resource "azurerm_lb_probe" "vmss" {
  loadbalancer_id     = azurerm_lb.vmss.id
  name                = "ssh-running-probe"
  port                = var.application_port
}

resource "azurerm_lb_rule" "lbnatrule" {
  loadbalancer_id                = azurerm_lb.vmss.id
  name                           = "http"
  protocol                       = "Tcp"
  frontend_port                  = var.application_port
  backend_port                   = var.application_port
  backend_address_pool_ids       = [azurerm_lb_backend_address_pool.bpepool.id]
  frontend_ip_configuration_name = "PublicIPAddress"
  probe_id                       = azurerm_lb_probe.vmss.id
}

resource "azurerm_virtual_machine_scale_set" "vmss" {
  name                = "vmscaleset"
  location            = var.location
  resource_group_name = azurerm_resource_group.vmss.name
  upgrade_policy_mode = "Manual"

  sku {
    name     = "Standard_DS1_v2"
    tier     = "Standard"
    capacity = 2
  }

  storage_profile_image_reference {
    publisher = "Canonical"
    offer     = "UbuntuServer"
    sku       = "16.04-LTS"
    version   = "latest"
  }

  storage_profile_os_disk {
    name              = ""
    caching           = "ReadWrite"
    create_option     = "FromImage"
    managed_disk_type = "Standard_LRS"
  }

  storage_profile_data_disk {
    lun           = 0
    caching       = "ReadWrite"
    create_option = "Empty"
    disk_size_gb  = 10
  }

  os_profile {
    computer_name_prefix = "vmlab"
    admin_username       = var.admin_user
    admin_password       = local.admin_password
    custom_data          = file("web.conf")
  }

  os_profile_linux_config {
    disable_password_authentication = false
  }

  network_profile {
    name    = "terraformnetworkprofile"
    primary = true

    ip_configuration {
      name                                   = "IPConfiguration"
      subnet_id                              = azurerm_subnet.vmss.id
      load_balancer_backend_address_pool_ids = [azurerm_lb_backend_address_pool.bpepool.id]
      primary                                = true
    }
  }

  tags = var.tags
}

resource "azurerm_public_ip" "jumpbox" {
  name                = "jumpbox-public-ip"
  location            = var.location
  resource_group_name = azurerm_resource_group.vmss.name
  allocation_method   = "Static"
  domain_name_label   = "${random_string.fqdn.result}-ssh"
  tags                = var.tags
}

resource "azurerm_network_interface" "jumpbox" {
  name                = "jumpbox-nic"
  location            = var.location
  resource_group_name = azurerm_resource_group.vmss.name

  ip_configuration {
    name                          = "IPConfiguration"
    subnet_id                     = azurerm_subnet.vmss.id
    private_ip_address_allocation = "Dynamic"
    public_ip_address_id          = azurerm_public_ip.jumpbox.id
  }

  tags = var.tags
}

resource "azurerm_virtual_machine" "jumpbox" {
  name                  = "jumpbox"
  location              = var.location
  resource_group_name   = azurerm_resource_group.vmss.name
  network_interface_ids = [azurerm_network_interface.jumpbox.id]
  vm_size               = "Standard_DS1_v2"

  storage_image_reference {
    publisher = "Canonical"
    offer     = "UbuntuServer"
    sku       = "16.04-LTS"
    version   = "latest"
  }

  storage_os_disk {
    name              = "jumpbox-osdisk"
    caching           = "ReadWrite"
    create_option     = "FromImage"
    managed_disk_type = "Standard_LRS"
  }

  os_profile {
    computer_name  = "jumpbox"
    admin_username = var.admin_user
    admin_password = local.admin_password
  }

  os_profile_linux_config {
    disable_password_authentication = false
  }

  tags = var.tags
}

Create a file named variables.tf to contain the project variables and insert the following code:

variable "resource_group_name" {
  description = "Name of the resource group in which the resources will be created"
  default     = "myResourceGroup"
}

variable "location" {
  default     = "eastus"
  description = "Location where resources will be created"
}

variable "tags" {
  description = "Map of the tags to use for the resources that are deployed"
  type        = map(string)
  default = {
    environment = "codelab"
  }
}

variable "application_port" {
  description = "Port that you want to expose to the external load balancer"
  default     = 80
}

variable "admin_user" {
  description = "User name to use as the admin account on the VMs that will be part of the VM scale set"
  default     = "azureuser"
}

variable "admin_password" {
  description = "Default password for admin account"
  default     = null
  sensitive   = true
}

Create a file named output.tf to specify what values Terraform displays and insert the following code:

output "vmss_public_ip_fqdn" {
  value = azurerm_public_ip.vmss.fqdn
}

output "jumpbox_public_ip_fqdn" {
  value = azurerm_public_ip.jumpbox.fqdn
}

output "jumpbox_public_ip" {
  value = azurerm_public_ip.jumpbox.ip_address
}

Create a file named web.conf and insert the following code:
```
#cloud-config
packages:
 - nginx
```

3. Initialize Terraform

Run terraform init to initialize the Terraform deployment. This command downloads the Azure provider required to manage your Azure resources.

terraform init -upgrade

Key points:

The -upgrade parameter upgrades the necessary provider plugins to the newest version that complies with the configuration's version constraints.

4. Create a Terraform execution plan

Run terraform plan to create an execution plan.

terraform plan -out main.tfplan

Key points:

The terraform plan command creates an execution plan, but doesn't execute it. Instead, it determines what actions are necessary to create the configuration specified in your configuration files. This pattern allows you to verify whether the execution plan matches your expectations before making any changes to actual resources.
The optional -out parameter allows you to specify an output file for the plan. Using the -out parameter ensures that the plan you reviewed is exactly what is applied.

5. Apply a Terraform execution plan

Run terraform apply to apply the execution plan to your cloud infrastructure.

terraform apply main.tfplan

Key points:

The example terraform apply command assumes you previously ran terraform plan -out main.tfplan.
If you specified a different filename for the -out parameter, use that same filename in the call to terraform apply.
If you didn't use the -out parameter, call terraform apply without any parameters.

6. Verify the results

From the output of the terraform apply command, you see values for the following:
- Virtual machine FQDN
- Jumpbox FQDN
- Jumpbox IP address
Browse to the virtual machine URL to confirm a default page with the text Welcome to nginx!.
Use SSH to connect to the jumpbox VM using the user name defined in the variables file and the password you specified when you ran terraform apply. For example: ssh azureuser@<ip_address>.

7. Clean up resources

When you no longer need the resources created via Terraform, do the following steps:

Run terraform plan and specify the destroy flag.
```
terraform plan -destroy -out main.destroy.tfplan
```
Key points:
- The terraform plan command creates an execution plan, but doesn't execute it. Instead, it determines what actions are necessary to create the configuration specified in your configuration files. This pattern allows you to verify whether the execution plan matches your expectations before making any changes to actual resources.
- The optional -out parameter allows you to specify an output file for the plan. Using the -out parameter ensures that the plan you reviewed is exactly what is applied.
Run terraform apply to apply the execution plan.
```
terraform apply main.destroy.tfplan
```

Troubleshoot Terraform on Azure

Troubleshoot common problems when using Terraform on Azure

Next steps

Learn more about using Terraform in Azure

แชร์ผ่าน

Create an Azure virtual machine scale set using Terraform

1. Configure your environment

2. Implement the Terraform code

3. Initialize Terraform

4. Create a Terraform execution plan

5. Apply a Terraform execution plan

6. Verify the results

7. Clean up resources

Troubleshoot Terraform on Azure

Next steps

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