Usa los siguientes ejemplos para implementar backends de muestra con Cloud CDN habilitado.
Si es la primera vez que usas Terraform para Google Cloud, consulta Comienza a usar Terraform.
Usa un bucket de Cloud Storage
En el siguiente ejemplo, se configura Cloud CDN con una red bucket de Cloud Storage. La muestra también incluye balanceo de cargas y de configuración de almacenamiento en caché. Los parámetros de configuración se pueden modificar según sea necesario.
Para obtener detalles sobre cada sección de la muestra, consulta Configura un bucket de backend.
# Cloud Storage bucket
resource "random_id" "bucket_prefix" {
byte_length = 8
}
resource "google_storage_bucket" "default" {
name = "${random_id.bucket_prefix.hex}-my-bucket"
location = "us-east1"
uniform_bucket_level_access = true
storage_class = "STANDARD"
// delete bucket and contents on destroy.
force_destroy = true
// Assign specialty files
website {
main_page_suffix = "index.html"
not_found_page = "404.html"
}
}
# make bucket public
resource "google_storage_bucket_iam_member" "default" {
bucket = google_storage_bucket.default.name
role = "roles/storage.objectViewer"
member = "allUsers"
}
resource "google_storage_bucket_object" "index_page" {
name = "index-page"
bucket = google_storage_bucket.default.name
content = <<-EOT
<html><body>
<h1>Congratulations on setting up Google Cloud CDN with Storage backend!</h1>
</body></html>
EOT
}
resource "google_storage_bucket_object" "error_page" {
name = "404-page"
bucket = google_storage_bucket.default.name
content = <<-EOT
<html><body>
<h1>404 Error: Object you are looking for is no longer available!</h1>
</body></html>
EOT
}
# image object for testing, try to access http://<your_lb_ip_address>/test.jpg
resource "google_storage_bucket_object" "test_image" {
name = "test-object"
# Uncomment and add valid path to an object.
# source = "/path/to/an/object"
# content_type = "image/jpeg"
# Delete after uncommenting above source and content_type attributes
content = "Data as string to be uploaded"
content_type = "text/plain"
bucket = google_storage_bucket.default.name
}
# reserve IP address
resource "google_compute_global_address" "default" {
name = "example-ip"
}
# forwarding rule
resource "google_compute_global_forwarding_rule" "default" {
name = "http-lb-forwarding-rule"
ip_protocol = "TCP"
load_balancing_scheme = "EXTERNAL"
port_range = "80"
target = google_compute_target_http_proxy.default.id
ip_address = google_compute_global_address.default.id
}
# http proxy
resource "google_compute_target_http_proxy" "default" {
name = "http-lb-proxy"
url_map = google_compute_url_map.default.id
}
# url map
resource "google_compute_url_map" "default" {
name = "http-lb"
default_service = google_compute_backend_bucket.default.id
}
# backend bucket with CDN policy with default ttl settings
resource "google_compute_backend_bucket" "default" {
name = "cat-backend-bucket"
description = "Contains beautiful images"
bucket_name = google_storage_bucket.default.name
enable_cdn = true
cdn_policy {
cache_mode = "CACHE_ALL_STATIC"
client_ttl = 3600
default_ttl = 3600
max_ttl = 86400
negative_caching = true
serve_while_stale = 86400
}
}Usa MIG y encabezados personalizados
Puedes usar recursos de Terraform para abrir un balanceador de cargas HTTP externo con un servicio de backend para Cloud CDN, así como una solicitud personalizada y encabezados de respuesta.
Para obtener información sobre la configuración del balanceador de cargas, consulta la guía de configuración principal.
# VPC
resource "google_compute_network" "default" {
name = "l7-xlb-network"
provider = google-beta
auto_create_subnetworks = false
}
# backend subnet
resource "google_compute_subnetwork" "default" {
name = "l7-xlb-subnet"
provider = google-beta
ip_cidr_range = "10.0.1.0/24"
region = "us-central1"
network = google_compute_network.default.id
}
# reserved IP address
resource "google_compute_global_address" "default" {
provider = google-beta
name = "l7-xlb-static-ip"
}
# forwarding rule
resource "google_compute_global_forwarding_rule" "default" {
name = "l7-xlb-forwarding-rule"
provider = google-beta
ip_protocol = "TCP"
load_balancing_scheme = "EXTERNAL"
port_range = "80"
target = google_compute_target_http_proxy.default.id
ip_address = google_compute_global_address.default.id
}
# http proxy
resource "google_compute_target_http_proxy" "default" {
name = "l7-xlb-target-http-proxy"
provider = google-beta
url_map = google_compute_url_map.default.id
}
# url map
resource "google_compute_url_map" "default" {
name = "l7-xlb-url-map"
provider = google-beta
default_service = google_compute_backend_service.default.id
}
# backend service with custom request and response headers
resource "google_compute_backend_service" "default" {
name = "l7-xlb-backend-service"
provider = google-beta
protocol = "HTTP"
port_name = "my-port"
load_balancing_scheme = "EXTERNAL"
timeout_sec = 10
enable_cdn = true
custom_request_headers = ["X-Client-Geo-Location: {client_region_subdivision}, {client_city}"]
custom_response_headers = ["X-Cache-Hit: {cdn_cache_status}"]
health_checks = [google_compute_health_check.default.id]
backend {
group = google_compute_instance_group_manager.default.instance_group
balancing_mode = "UTILIZATION"
capacity_scaler = 1.0
}
}
# instance template
resource "google_compute_instance_template" "default" {
name = "l7-xlb-mig-template"
provider = google-beta
machine_type = "e2-small"
tags = ["allow-health-check"]
network_interface {
network = google_compute_network.default.id
subnetwork = google_compute_subnetwork.default.id
access_config {
# add external ip to fetch packages
}
}
disk {
source_image = "debian-cloud/debian-12"
auto_delete = true
boot = true
}
# install nginx and serve a simple web page
metadata = {
startup-script = <<-EOF1
#! /bin/bash
set -euo pipefail
export DEBIAN_FRONTEND=noninteractive
apt-get update
apt-get install -y nginx-light jq
NAME=$(curl -H "Metadata-Flavor: Google" "http://metadata.google.internal/computeMetadata/v1/instance/hostname")
IP=$(curl -H "Metadata-Flavor: Google" "http://metadata.google.internal/computeMetadata/v1/instance/network-interfaces/0/ip")
METADATA=$(curl -f -H "Metadata-Flavor: Google" "http://metadata.google.internal/computeMetadata/v1/instance/attributes/?recursive=True" | jq 'del(.["startup-script"])')
cat <<EOF > /var/www/html/index.html
<pre>
Name: $NAME
IP: $IP
Metadata: $METADATA
</pre>
EOF
EOF1
}
lifecycle {
create_before_destroy = true
}
}
# health check
resource "google_compute_health_check" "default" {
name = "l7-xlb-hc"
provider = google-beta
http_health_check {
port_specification = "USE_SERVING_PORT"
}
}
# MIG
resource "google_compute_instance_group_manager" "default" {
name = "l7-xlb-mig1"
provider = google-beta
zone = "us-central1-c"
named_port {
name = "http"
port = 8080
}
version {
instance_template = google_compute_instance_template.default.id
name = "primary"
}
base_instance_name = "vm"
target_size = 2
}
# allow access from health check ranges
resource "google_compute_firewall" "default" {
name = "l7-xlb-fw-allow-hc"
provider = google-beta
direction = "INGRESS"
network = google_compute_network.default.id
source_ranges = ["130.211.0.0/22", "35.191.0.0/16"]
allow {
protocol = "tcp"
}
target_tags = ["allow-health-check"]
}