Quickstart: Create a Windows-based Azure Kubernetes Service (AKS) cluster using Terraform
In this quickstart, you create an Azure Kubernetes cluster with a Windows node pool using Terraform. Azure Kubernetes Service (AKS) is a managed container orchestration service provided by Azure. It simplifies the deployment, scaling, and operations of containerized applications. The service uses Kubernetes, an open-source system for automating the deployment, scaling, and management of containerized applications. The Windows node pool allows you to run Windows containers in your Kubernetes cluster.
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.
- Generate a random resource group name.
- Create an Azure resource group.
- Create an Azure virtual network.
- Create an Azure Kubernetes cluster.
- Create an Azure Kubernetes cluster node pool.
Prerequisites
Create an Azure account with an active subscription. You can create an account for free.
Implement the Terraform code
Note
The sample code for this article is located in the Azure Terraform GitHub repo. You can view the log file containing the test results from current and previous versions of Terraform.
See more articles and sample code showing how to use Terraform to manage Azure resources
Create a directory in which to test and run the sample Terraform code and make it the current directory.
Create a file named
providers.tf
and insert the following code.terraform { required_version = ">= 1.0" required_providers { azurerm = { source = "hashicorp/azurerm" version = "~>3.0" } random = { source = "hashicorp/random" version = "~>3.0" } } } provider "azurerm" { features { } }
Create a file named
main.tf
and insert the following code.# Generate random resource group name resource "random_pet" "rg_name" { prefix = var.resource_group_name_prefix } resource "azurerm_resource_group" "rg" { location = var.resource_group_location name = random_pet.rg_name.id } resource "random_pet" "azurerm_kubernetes_cluster_name" { prefix = "cluster" } resource "random_pet" "azurerm_kubernetes_cluster_dns_prefix" { prefix = "dns" } resource "random_string" "azurerm_kubernetes_cluster_node_pool" { length = 6 special = false numeric = false lower = true upper = false } resource "azurerm_virtual_network" "vnet" { name = "myvnet" location = azurerm_resource_group.rg.location resource_group_name = azurerm_resource_group.rg.name address_space = ["10.1.0.0/16"] subnet { name = "subnet1" address_prefix = "10.1.1.0/24" } } resource "azurerm_kubernetes_cluster" "aks" { name = random_pet.azurerm_kubernetes_cluster_name.id location = azurerm_resource_group.rg.location resource_group_name = azurerm_resource_group.rg.name dns_prefix = random_pet.azurerm_kubernetes_cluster_dns_prefix.id identity { type = "SystemAssigned" } default_node_pool { name = "agentpool" vm_size = "Standard_D2_v2" node_count = var.node_count_linux vnet_subnet_id = element(tolist(azurerm_virtual_network.vnet.subnet), 0).id } windows_profile { admin_username = var.admin_username admin_password = var.admin_password } network_profile { network_plugin = "azure" load_balancer_sku = "standard" } } resource "azurerm_kubernetes_cluster_node_pool" "win" { name = random_string.azurerm_kubernetes_cluster_node_pool.result kubernetes_cluster_id = azurerm_kubernetes_cluster.aks.id vm_size = "Standard_D4s_v3" node_count = var.node_count_windows os_type = "Windows" }
Create a file named
variables.tf
and insert the following code.variable "resource_group_location" { type = string default = "eastus" description = "Location of the resource group." } variable "resource_group_name_prefix" { type = string default = "rg" description = "Prefix of the resource group name that's combined with a random ID so name is unique in your Azure subscription." } variable "node_count_linux" { type = number description = "The initial quantity of Linux nodes for the node pool." default = 1 } variable "node_count_windows" { type = number description = "The initial quantity of Windows nodes for the node pool." default = 1 } variable "admin_username" { type = string description = "The admin username for the Windows node pool." default = "azureuser" } variable "admin_password" { type = string description = "The admin password for the Windows node pool." default = "Passw0rd1234Us!" }
Create a file named
outputs.tf
and insert the following code.output "resource_group_name" { value = azurerm_resource_group.rg.name } output "kubernetes_cluster_name" { value = azurerm_kubernetes_cluster.aks.name } output "kubernetes_cluster_dns_prefix" { value = azurerm_kubernetes_cluster.aks.dns_prefix } output "kubernetes_cluster_node_pool_name" { value = azurerm_kubernetes_cluster_node_pool.win.name } output "kubernetes_cluster_kube_config_raw" { value = azurerm_kubernetes_cluster.aks.kube_config_raw sensitive = true }
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.
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.
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 ranterraform plan -out main.tfplan
. - If you specified a different filename for the
-out
parameter, use that same filename in the call toterraform apply
. - If you didn't use the
-out
parameter, callterraform apply
without any parameters.
Verify the results
Run kubectl get to print the cluster's nodes.
kubectl get node -o wide
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.
- The
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
Azure Kubernetes Service