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1. Introducción
En este artículo se muestra cómo crear un cluster de máquinas virtuales Windows con Terraform en Azure con uso de módulos externos de Terraform Registry.
Si no estás familiarizado con Terraform, recomiendo eches un vistazo a los artículos previos de este blog listados a continuación, ya que se hace uso de diferentes elementos importantes previamente explicados en ellos:
2. Consideraciones Previas
En el artículo Terraform: Creación de Cluster de Máquinas Virtuales Windows vimos como crear un cluster de máquinas virtuales Windows usando solamente recursos del proveedor de Azure para Terraform (azurerm). En este artículo se muestra cómo crear el mismo cluster pero haciendo uso de módulos de Terraform Registry para Azure. El uso de módulos nos permite reutilizar código con características comunes, escribir mucho menos código en nuestros proyectos y en definitiva "no volver a reinventar la rueda" en nuestros proyectos.
No obstante, el uso de módulos externos requiere de la verificación de los componentes que nos permite generar, los componentes que crea por defecto y hasta que punto podemos parametrizar todos estos componentes ya que no siempre permiten definir una infraestructura exactamente como nosotros necesitamos. Saber utilizar los parametros de entrada, salida y dependencias de los módulos y comprender la lista de recursos que generan es fundamental cuando se trabaja con ellos. Una vez conocido bien todo lo que el módulo nos permite generar podemos complementar la infraestructura desplegada usando nuestro propio código HCL.
En este artículo voy a usar los módulos Terraform Azure RM Compute y Terraform Azure RM for Network de Terraform Registry. El primero nos permite crear máquinas virtuales y el segundo recursos de redes.
3. Configuración de Terraform
La configuración de nuestro proyecto de Terraform es la misma a la ya explicada en el artículo Terraform: Creación de Cluster de Máquinas Virtuales Windows en Azure en lo que se refiere a la estructura del proyecto, fichero variables.tf y fichero terraform.tfvars por lo que no volveré a incluirlos. Puedes verlos en el enlace anterior.
Este es el contenido de nuestro fichero main.tf con las explicaciones de cada bloque:
# Referencia al proveedor de Azure y configuración del service principal.
# El valor de client_secret será asignado a traves de la variable de entorno ARM_CLIENT_SECRET.
provider "azurerm" {
# Non-beta version >= 2.5.0 and < 3.0.0
version = "~>2.5"
# Configure service principal
subscription_id = var.azure_terraform_sp["subscription_id"]
client_id = var.azure_terraform_sp["client_id"]
tenant_id = var.azure_terraform_sp["tenant_id"]
# Required. Leave it empty if non-used.
features {}
}
# Referencia al blob (key) del contenedor (container_name) en la storage account de Azure (storage_account_name)
# para almacenar de forma remota y centralizada el estado de nuestro proyecto de Terraform.
# Este bloque no permite el uso de variables.
# El valor del atributo access_key es asignado mediante la variable de entorno ARM_ACCESS_KEY.
terraform {
backend "azurerm" {
resource_group_name = "jm-inn-core-rg"
storage_account_name = "jminnstgacc"
container_name = "terraform"
key = "tf-learn-vms-cluster-registry-modules.tfstate"
}
}
# Crea grupo de recursos donde se incluirán las máquinas virtuales y resto de componentes
resource "azurerm_resource_group" "rg" {
name = var.azure_new_resource_group["name"]
location = var.azure_new_resource_group["location"]
tags = var.azure_new_resource_group_tags
}
# Data source para referenciar Azure Key Vault con secretos de usuario y contraseña
data "azurerm_key_vault" "kv" {
name = var.azure_key_vault_name
resource_group_name = var.azure_key_vault_resource_group_name
}
# Data Source para obtener nombre de usuario administrador guardado en Azure Key Vault
data "azurerm_key_vault_secret" "vm_username" {
name = "vm-username-default"
key_vault_id = data.azurerm_key_vault.kv.id
}
# Data Source para obtener password de usuario administrador guardado en Azure Key Vault
data "azurerm_key_vault_secret" "vm_password" {
name = "vm-password-default"
key_vault_id = data.azurerm_key_vault.kv.id
}
# Módulo Terraform Azure RM Compute de Terraform Registry para creación de máquinas virtuales y recursos de computación.
# Referencia al módulo Terraform Azure RM for Network para ubicar las máquinas virtuales en la red virtual vía tarjetas de red (NICs)
module "vms" {
source = "Azure/compute/azurerm"
version = "3.5.0"
resource_group_name = azurerm_resource_group.rg.name
location = azurerm_resource_group.rg.location
tags = azurerm_resource_group.rg.tags
admin_username = data.azurerm_key_vault_secret.vm_username.value
admin_password = data.azurerm_key_vault_secret.vm_password.value
vm_size = var.vm_size
vm_os_simple = "WindowsServer"
is_windows_image = "true"
remote_port = "3389"
nb_instances = 2
nb_public_ip = 2
public_ip_dns = ["${var.prefix}-ip1", "${var.prefix}-ip2"]
vnet_subnet_id = module.network.vnet_subnets[0]
vm_hostname = var.prefix
}
# Módulo Terraform Azure RM for Network de Terraform Registry para creación de recursos de red
module "network" {
source = "Azure/network/azurerm"
version = "3.1.1"
resource_group_name = azurerm_resource_group.rg.name
vnet_name = "${var.prefix}-vnet"
}
# Regla de seguridad que permite tráfico entrante TCP en el puerto 80. No es posible crearla directamente en el módulo utilizado Terraform Azure RM Compute.
# Se asocia a la Network Security Group creada en el módulo "network".
resource "azurerm_network_security_rule" "rule_tcp_80" {
network_security_group_name = module.vms.network_security_group_name
resource_group_name = azurerm_resource_group.rg.name
name = "TCP_80"
priority = 200
direction = "Inbound"
access = "Allow"
protocol = "Tcp"
source_port_range = "*"
destination_port_range = "80"
source_address_prefix = "*"
destination_address_prefix = "*"
}
# Extensión para instalar IIS en las máquinas virtuales. No es posible hacerlo mediante el módulo Terraform Azure RM Compute.
resource "azurerm_virtual_machine_extension" "iis-windows-vm-extension" {
count = 2
name = "${var.prefix}-vm-${count.index}-extension"
virtual_machine_id = module.vms.vm_ids[count.index]
publisher = "Microsoft.Compute"
type = "CustomScriptExtension"
type_handler_version = "1.9"
settings = <<SETTINGS
{
"commandToExecute": "powershell Install-WindowsFeature -name Web-Server - IncludeManagementTools;"
}
SETTINGS
tags = var.azure_new_resource_group_tags
}
Como aspectos destacados vamos a comentar los siguientes:
- Los módulos utilizados crean infraestructura "por debajo" de forma transparente al usuario por lo que es importante leer muy bien la documentación asociada a cada módulo para entender qué recursos y cómo se están creando exactamente. Por ejemplo, el módulo Terraform Azure RM for Network crea una red virtual y una subred con rangos de direcciones establecidos por defecto (
10.0.0.0/16
y 10.0.0.0/24
respectivamente). Es posible que tengas que utilizar rangos diferentes. Por ello, sería necesario acudir a la documentación para ver que atributos de entrada pueden ser establecidos. Podrás comprobar que podríamos usar los atributos address_space
y subnet_prefixes
para fijar los rangos de red y subred respectivamente.
- El módulo Terraform Azure RM Compute para creación de máquinas virtuales nos permite establecer el número de máquinas virtuales a crear mediante el atributo
nb_instances
. En caso de modificar el valor por defecto ("1"), se crea un availability set para contener las máquinas virtuales cuyo identificador podría obtenerse mediante el atributo de salida availability_set_id
. En la documentación tienes la lista de recursos que puede crear el módulo según el valor del número de instancias. El atributo remote_port
nos permite fijar un puerto sobre el que se creará una regla en el Network Security Group asociado a la red que permite filtrar tráfico TCP entrante, en este caso sobre el puerto 3389 para permitir conexión RDP. Por último mediante el atributo vnet_subnet_id
podemos asignar la subred sobre la que se conectarán las máquinas virtuales vía tarjetas de red NIC (creadas de forma implicita por el módulo). El resto de atributos puedes verlos en la documentación del módulo.
- Si los módulos no ofrecen soporte para la creación de determinada infraestructura relacionada necesaria en tu proyecto siempre puedes añadir tu código HCL complementario propio una vez obtenidos los identificadores de los recursos generados, vía parámetros de salida del módulo o configurando data sources. Es el caso de la creación de la extensión para instalar IIS en las máquinas virtuales o la creación de la regla que permite tráfico TCP entrante en el puerto 80 de la Network Security Group asociada a la red virtual.
4. Ejecución de Terraform y Verificación en Azure
La ejecución de nuestro proyecto de Terraform sigue el mismo proceso que el ya explicado en el artículo Terraform: Creación de Máquinas Virtuales Windows en Azure por lo que iré directamente a verificar el resultado de la creación de infraestructura en Azure:
![](data:image/png;base64,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)
En la imagen superior vemos cómo se han creado las dos máquinas virtuales vm-cl-reg-md-vmWindows-0 y vm-cl-reg-md-vmWindows-1 junto con los componentes relacionados correspondientes. También vemos la existencia del availability set vm-cl-reg-md-avset. Si accedemos al availability set, podemos comprobar la existencia de dos fault domains y dos update domains, con cada máquina virtual en fault y update domains diferentes:
![](data:image/png;base64,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)
Por tanto, verificamos que el contenido creado con módulos de Terraform Registry es el mismo que el creado en el artículo Terraform: Creación de Cluster de Máquinas Virtuales Windows en el que solo usamos referencias directas a recursos del proveedor de Azure para Terraform. La diferencia en este artículo es que el código utilizado ha sido mucho menor.
Referencias