Article available only in Spanish
1. Introducción
En este artículo se muestra cómo crear un Load Balancer sobre un cluster de Máquinas Virtuales Windows con Terraform en Azure.
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 Generales
En artículos anteriores vimos como crear clusters de máquinas virtuales Windows usando simplemente recursos del proveedor Azure para Terraform (azurerm) o mediante el uso de módulos de Terraform Registry. En cualquiera de los dos casos el resultado final era la creación de un availability set con dos update domains y dos fault domains sobre los cuales se ubicaban las máquinas virtuales como cluster de alta disponibilidad ante actualizaciones o fallos de hardware:
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)
Esto está bien, pero nos falta algo más. En concreto, echo de menos algún componente que nos permita distribuir tráfico sobre ambas máquinas virtuales de forma balanceada y teniendo en cuenta el estado de salud de cada máquina. En otras palabras, si las dos máquinas tienen buen estado de salud, el tráfico debería ser distribuido de forma equitativa según algún algoritmo predefinido y si alguna de ellas está inactiva o saturada el tráfico debería ser redirigido automáticamente a la máquina con buen estado de salud. Esto es precisamente lo que se pretende con la inclusión de un Load Balancer. En concreto, la distribución balanceada de tráfico a nivel TCP sobre un backend de servidores compuesto por nuestras máquinas virtuales con supervisión previa del estado de salud de cada servidor para ajustar la distribución del tráfico.
Por tanto, el objetivo de este artículo será mostrar como ampliar la infraestructura previamente creada en otros artículos anteriores para incluir un Load Balancer. Además veremos como usar este componente para acceder vía RDP a las máquinas virtuales mediante la definición de reglas NAT (Network Address Translation). Este procedimiento nos servirá para evitar la asignación directa de direcciones IP públicas a cada máquina virtual.
3. Configuración de Terraform
Como en los artículos anteriores de Terraform sobre creación de clusters de máquinas virtuales, la configuración de nuestro proyecto actual es la misma a la ya explicada en dichos artículos en lo que se refiere a la estructura del proyecto, fichero variables.tf y fichero terraform.tfvars por lo que no se volverá a incluir aquí. Puedes verlos en los enlaces referenciados en el capítulo 1.
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-hcl.tfstate"
}
}
# Crea grupo de recursos donde se incluirán la máquina virtual 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
}
# Crea una Azure Virtual Network para ubicar la subred que contendrá la máquina virtual.
resource "azurerm_virtual_network" "vnet" {
name = "${var.prefix}-vnet"
address_space = ["10.0.0.0/16"]
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
tags = var.azure_new_resource_group_tags
}
# Crea una subnet en la Azure Virtual Network anterior para ubicar la máquina virtual. En Azure es obligatorio crear una subred donde ubicar la máquina virtual.
resource "azurerm_subnet" "subnet1" {
name = "${var.prefix}-subnet1"
resource_group_name = azurerm_resource_group.rg.name
virtual_network_name = azurerm_virtual_network.vnet.name
address_prefix = "10.0.0.0/24"
}
# Crea una dirección IP pública para el Load balancer que distribuye tráfico sobre las máquinas virtuales
resource "azurerm_public_ip" "lb_public_ip1" {
name = "${var.prefix}-lb-public-ip1"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
allocation_method = "Static"
tags = var.azure_new_resource_group_tags
}
# Crea tarjetas de red (NIC) a asociar a cada máquina virtual
resource "azurerm_network_interface" "nic" {
count = 2
name = "${var.prefix}-nic${count.index}"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
ip_configuration {
name = "${var.prefix}-nic-conf"
subnet_id = azurerm_subnet.subnet1.id
private_ip_address_allocation = "dynamic"
}
}
# Crea un Network Security Group para controlar el tráfico permitido a nivel de subred.
# Se configura para aceptar tráfico TCP entrante en los puertos 3389 (RDP) y 80 (HTTP).
resource "azurerm_network_security_group" "nsg1" {
name = "${var.prefix}-nsg1"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
security_rule {
name = "RDP"
priority = 100
direction = "Inbound"
access = "Allow"
protocol = "Tcp"
source_port_range = "*"
destination_port_range = "3389"
source_address_prefix = "*"
destination_address_prefix = "*"
}
security_rule {
name = "TCP_80"
priority = 200
direction = "Inbound"
access = "Allow"
protocol = "Tcp"
source_port_range = "*"
destination_port_range = "80"
source_address_prefix = "*"
destination_address_prefix = "*"
}
tags = var.azure_new_resource_group_tags
}
# Se asocia la Network Security Group (NSG) y la subred creada anteriormente.
# Así, las reglas contenidas en la NSG para filtrar tráfico aplican a toda la subred.
resource "azurerm_subnet_network_security_group_association" "association" {
subnet_id = azurerm_subnet.subnet1.id
network_security_group_id = azurerm_network_security_group.nsg1.id
}
# Crea Availability Set para incluir las máquinas virtuales como cluster de alta disponibilidad
resource "azurerm_availability_set" "avset1" {
name = "${var.prefix}-avset1"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
platform_fault_domain_count = 2
platform_update_domain_count = 2
managed = true
}
# Data source para referenciar el Azure Key Vault que contiene nuestros 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 el 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 el 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
}
# Crea el cluster de máquinas virtuales
resource "azurerm_windows_virtual_machine" "vms" {
count = 2
name = "${var.prefix}-${count.index}"
resource_group_name = azurerm_resource_group.rg.name
location = azurerm_resource_group.rg.location
availability_set_id = azurerm_availability_set.avset1.id
admin_username = data.azurerm_key_vault_secret.vm_username.value
admin_password = data.azurerm_key_vault_secret.vm_password.value
size = var.vm_size
network_interface_ids = [element(azurerm_network_interface.nic.*.id, count.index)]
os_disk {
name = "${var.prefix}_${count.index}"
caching = "ReadWrite"
storage_account_type = "Standard_LRS"
}
source_image_reference {
publisher = "MicrosoftWindowsServer"
offer = "WindowsServer"
sku = "2019-Datacenter"
version = "latest"
}
tags = var.azure_new_resource_group_tags
}
# Instala IIS mediante una extensión de máquina virtual.
resource "azurerm_virtual_machine_extension" "iis-windows-vm-extension" {
count = 2
name = "${var.prefix}-vm-${count.index}-extension"
virtual_machine_id = azurerm_windows_virtual_machine.vms[count.index].id
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
}
# Crea Load Balancer para distribuir tráfico sobre las máquinas virtuales
resource "azurerm_lb" "lb1" {
name = "${var.prefix}-lb1"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
# Configura el Frontend del Load balancer con su dirección IP pública
frontend_ip_configuration {
name = "${var.prefix}-lb-frontend-conf1"
public_ip_address_id = azurerm_public_ip.lb_public_ip1.id
}
}
# Crea backend de soporte al Load Balancer y que contendrá las máquinas virtuales
resource "azurerm_lb_backend_address_pool" "backend1" {
resource_group_name = azurerm_resource_group.rg.name
loadbalancer_id = azurerm_lb.lb1.id
name = "${var.prefix}-backend1"
}
# Configura el backend para incluir las máquinas virtuales vía NICs
resource "azurerm_network_interface_backend_address_pool_association" "backend_association" {
count = 2
ip_configuration_name = "${var.prefix}-nic-conf"
network_interface_id = azurerm_network_interface.nic[count.index].id
backend_address_pool_id = azurerm_lb_backend_address_pool.backend1.id
}
# Crea regla en el Load Balancer para dirigir tráfico HTTP al backend
resource "azurerm_lb_rule" "lb_http_rule" {
resource_group_name = azurerm_resource_group.rg.name
loadbalancer_id = azurerm_lb.lb1.id
name = "HTTPRule"
protocol = "Tcp"
frontend_port = 80
backend_port = 80
frontend_ip_configuration_name = "${var.prefix}-lb-frontend-conf1"
backend_address_pool_id = azurerm_lb_backend_address_pool.backend1.id
probe_id = azurerm_lb_probe.probe1.id
depends_on = [azurerm_lb_probe.probe1]
}
# Check en el Load Balancer para comprobar disponiblidad y estado de salud de cada máquina virtual (health probe)
resource "azurerm_lb_probe" "probe1" {
resource_group_name = azurerm_resource_group.rg.name
loadbalancer_id = azurerm_lb.lb1.id
name = "HTTP"
port = 80
}
# Reglas NAT (Network Address Translation) en el Load Balancer para permitir acceso RDP (puerto 3389) mediante uso externo de otros puertos (50001, 50002)
resource "azurerm_lb_nat_rule" "nat_rule" {
count = 2
resource_group_name = azurerm_resource_group.rg.name
loadbalancer_id = azurerm_lb.lb1.id
name = "RDPAccess-${count.index}"
protocol = "Tcp"
frontend_port = 50001 + count.index
backend_port = 3389
frontend_ip_configuration_name = "${var.prefix}-lb-frontend-conf1"
}
# Configura asociación entre NICs (VMs) y reglas NAT
resource "azurerm_network_interface_nat_rule_association" "nat_rule_association" {
count = 2
ip_configuration_name = "${var.prefix}-nic-conf"
network_interface_id = azurerm_network_interface.nic[count.index].id
nat_rule_id = azurerm_lb_nat_rule.nat_rule[count.index].id
}
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 Cluster de Máquinas Virtuales Windows por lo que iré directamente a verificar el resultado de la creación de infraestructura en Azure tras la ejecución de los comandos terraform init
, terraform plan
y terraform apply
.
Esta es la lista de recursos más importantes en relación al tema que nos ocupa creados en Azure:
![](data:image/png;base64,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)
Como se ve se ha creado un Load Balancer llamado vm-cl-lb-lb1 de forma adicional al cluster de máquinas virtuales formado por el availability set vm-cl-lb-avset1 y las máquinas virtuales vm-cl-lb-0 y vm-cl-lb-1. No aparece en la lista pero también se crea una Azure Virtual Network para conectar las tarjetas de red (NIC) de cada máquina virtual. En la siguiente imagen se puede ver de forma más clara el esquema de componentes de la red creada:
![](data:image/png;base64,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)
Esta es la información principal de nuestro Load Balancer. Se referencia el backend pool, health probe para evaluar el estado de salud de cada máquina virtual en el backend pool, regla de balanceo de carga para distribuir tráfico TCP en el puerto 80 desde el frontend del Load Balancer al backend pool, reglas NAT para proporcionar servicios de port-forwarding y la dirección IP pública del Load Balancer sobre la cual estableceremos todas las comunicaciones (HTTP, RDP):
![](data:image/png;base64,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)
El Backend Pool asociado al Load Balancer está formado por el cluster de máquinas virtuales vm-cl-lb-0 y vm-cl-lb-1 como se puede apreciar en la siguiente imagen. Las máquinas virtuales no tienen ninguna dirección IP pública asignada, solo direcciones IP privadas:
![](data:image/png;base64,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)
Las reglas del Load Balancer para distribuir tráfico entrante son las siguientes:
![](data:image/png;base64,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)
Unicamente existe una regla denominada HTTPRule cuyas funciones son:
- Permanecer a la escucha de tráfico TCP en el puerto 80 en la dirección IP pública asociada al Load Balancer.
- Reenviar el tráfico entrante en el Load Balancer según el punto anterior al backend de servidores de forma balanceada. El tráfico se reenvía mediante una nueva comunicación TCP en el puerto 80 de modo que los IIS alojados en las máquinas virtuales puedan responder a estas peticiones. El tráfico que llega a las máquinas virtuales lo hace por medio del Load Balancer, de hecho no hemos creado direcciones IP públicas para ellas.
- Consultar la regla de chequeo (health probe) de evaluación de estado de salud de las máquinas virtuales, para descartar el envío a aquellas en estado no disponible debido a fallos o sobrecarga.
Al acceder vía browser a la dirección IP pública del Load Balancer, éste distribuirá el tráfico de forma balanceada según un algoritmo de tipo hash basado en los siguientes parámetros de la comunicación:
- IP Origen
- Puerto Origen
- IP Destino
- Puerto Destino
- Protocolo para mapear flujos TCP entrantes a backend de servidores
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)
En nuestro caso la dirección IP destino (única IP pública del Load Balancer), el puerto destino (80) y el protocolo (TCP) serán siempre los mismos pero la dirección IP Origen y el puerto origen será distinto según el cliente y la conexión. Por ello, el tráfico será distribuido a diferentes máquinas en el backend pool. Tienes explicaciones mucho más detalladas en la documentación del modo de distribución de Azure Load Balancer por lo que no me voy a extender más si bien te recomiendo le eches un vistazo al concepto de session affinity que te permitirá distribuir tráfico entrante de una IP origen siempre a la misma IP destino a través del Load Balancer. Esto puede ser necesario en algún escenario concreto.
Las reglas NAT (Network Address Translation) asociadas al Load Balancer son las siguientes:
![](data:image/png;base64,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)
En este caso las reglas NAT nos permiten "redireccionar" o "reenviar" tráfico IP de modo que el Load Balancer sea capaz de escuchar tráfico TCP en una dirección IP y puerto para crear una nueva conexión TCP en otra dirección IP y puerto. Esta funcionalidad nos permite acceder a las máquinas virtuales internas por medio del Load Balancer mediante su dirección IP pública y la configuración de varios puertos:
IP Pública + Puerto 50001 -> IP Privada 10.0.0.4 (vm-cl-lb-0) + Puerto 3389 (RDP)
IP Pública + Puerto 50002 -> IP Privada 10.0.0.5 (vm-cl-lb-1) + Puerto 3389 (RDP)
Para verificar el correcto funcionamiento de las regals NAT he creado dos ficheros con las conexiones RDP a la dirección IP pública del Load Balancer en los puertos 50001 y 50002:
![](data:image/png;base64,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)
Contenido del fichero vm-cl-lb-50001.rdp:
full address:s:52.233.157.69:50001
prompt for credentials:i:1
administrative session:i:1
Contenido del fichero vm-cl-lb-50002.rdp:
full address:s:52.233.157.69:50002
prompt for credentials:i:1
administrative session:i:1
Al acceder con cada uno de ellos ambos funcionan correctamente :)