
terraform-gcp
Provision GCP infrastructure with Terraform. Configure providers and deploy Google Cloud resources. Use when implementing IaC for GCP.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill terraform-gcp- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads terraform-gcp automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Terraform GCP
Provision and manage Google Cloud Platform infrastructure using Terraform with the hashicorp/google provider.
When to Use
- Defining GCP infrastructure as code for repeatable, auditable deployments
- Managing multi-environment setups (dev, staging, production) from a single codebase
- Provisioning complex resource graphs (VPC + GKE + Cloud SQL + IAM) in one plan
- Integrating infrastructure changes into CI/CD pipelines with plan/apply stages
Prerequisites
- Terraform >= 1.5 installed
- Google Cloud SDK or a service account key for CI
- A GCP project with billing enabled
gcloud auth application-default login # local dev
export GOOGLE_APPLICATION_CREDENTIALS="sa.json" # CI/CD
terraform version
Provider Configuration
# versions.tf
terraform {
required_version = ">= 1.5"
required_providers {
google = { source = "hashicorp/google"; version = "~> 5.0" }
google-beta = { source = "hashicorp/google-beta"; version = "~> 5.0" }
}
backend "gcs" { bucket = "my-project-tf-state"; prefix = "terraform/state" }
}
provider "google" { project = var.project_id; region = var.region }
provider "google-beta" { project = var.project_id; region = var.region }
# variables.tf
variable "project_id" { type = string }
variable "region" { type = string; default = "us-central1" }
variable "environment" {
type = string
validation {
condition = contains(["dev", "staging", "production"], var.environment)
error_message = "Must be dev, staging, or production."
}
}
Project Setup and State Bucket
gcloud storage buckets create gs://my-project-tf-state \
--location=us-central1 --uniform-bucket-level-access --public-access-prevention
gcloud storage buckets update gs://my-project-tf-state --versioning
terraform init
terraform plan -var="project_id=my-project" -var="environment=production" -out=tfplan
terraform apply tfplan
resource "google_project_service" "apis" {
for_each = toset([
"compute.googleapis.com", "container.googleapis.com",
"sqladmin.googleapis.com", "servicenetworking.googleapis.com",
"cloudfunctions.googleapis.com", "run.googleapis.com",
"secretmanager.googleapis.com", "artifactregistry.googleapis.com",
])
project = var.project_id
service = each.value
disable_dependent_services = false
disable_on_destroy = false
}
Networking Module
# modules/networking/main.tf
resource "google_compute_network" "vpc" {
name = "${var.environment}-vpc"
auto_create_subnetworks = false
routing_mode = "REGIONAL"
}
resource "google_compute_subnetwork" "main" {
name = "${var.environment}-main-subnet"
ip_cidr_range = var.subnet_cidr
region = var.region
network = google_compute_network.vpc.id
private_ip_google_access = true
log_config { aggregation_interval = "INTERVAL_5_SEC"; flow_sampling = 0.5 }
}
resource "google_compute_subnetwork" "gke" {
name = "${var.environment}-gke-subnet"
ip_cidr_range = var.gke_subnet_cidr
region = var.region
network = google_compute_network.vpc.id
private_ip_google_access = true
secondary_ip_range { range_name = "pods"; ip_cidr_range = var.pods_cidr }
secondary_ip_range { range_name = "services"; ip_cidr_range = var.services_cidr }
}
resource "google_compute_firewall" "allow_iap" {
name = "${var.environment}-allow-iap"
network = google_compute_network.vpc.name
allow { protocol = "tcp"; ports = ["22", "3389"] }
source_ranges = ["35.235.240.0/20"]
}
resource "google_compute_router" "router" {
name = "${var.environment}-router"
region = var.region
network = google_compute_network.vpc.id
}
resource "google_compute_router_nat" "nat" {
name = "${var.environment}-nat"
router = google_compute_router.router.name
region = var.region
nat_ip_allocate_option = "AUTO_ONLY"
source_subnetwork_ip_ranges_to_nat = "ALL_SUBNETWORKS_ALL_IP_RANGES"
log_config { enable = true; filter = "ERRORS_ONLY" }
}
output "vpc_id" { value = google_compute_network.vpc.id }
output "gke_subnet_id" { value = google_compute_subnetwork.gke.id }
GKE Cluster Module
# modules/gke/main.tf
resource "google_container_cluster" "primary" {
name = "${var.environment}-cluster"
location = var.region
release_channel { channel = var.release_channel }
workload_identity_config { workload_pool = "${var.project_id}.svc.id.goog" }
network = var.vpc_name
subnetwork = var.gke_subnet_name
ip_allocation_policy {
cluster_secondary_range_name = "pods"
services_secondary_range_name = "services"
}
private_cluster_config {
enable_private_nodes = true
master_ipv4_cidr_block = "172.16.0.0/28"
}
network_policy { enabled = true }
logging_config { enable_components = ["SYSTEM_COMPONENTS", "WORKLOADS"] }
monitoring_config {
enable_components = ["SYSTEM_COMPONENTS", "WORKLOADS"]
managed_prometheus { enabled = true }
}
remove_default_node_pool = true
initial_node_count = 1
}
resource "google_container_node_pool" "primary" {
name = "primary-pool"
cluster = google_container_cluster.primary.name
location = var.region
initial_node_count = var.initial_node_count
autoscaling { min_node_count = var.min_nodes; max_node_count = var.max_nodes }
management { auto_repair = true; auto_upgrade = true }
node_config {
machine_type = var.machine_type
disk_size_gb = 100
oauth_scopes = ["https://www.googleapis.com/auth/cloud-platform"]
shielded_instance_config { enable_secure_boot = true; enable_integrity_monitoring = true }
metadata = { disable-legacy-endpoints = "true" }
}
}
output "cluster_name" { value = google_container_cluster.primary.name }
output "cluster_endpoint" { value = google_container_cluster.primary.endpoint; sensitive = true }
Cloud SQL Module
# modules/cloud-sql/main.tf
resource "google_sql_database_instance" "main" {
name = "${var.environment}-db"
database_version = var.database_version
region = var.region
settings {
tier = var.tier
availability_type = var.environment == "production" ? "REGIONAL" : "ZONAL"
disk_type = "PD_SSD"
disk_size = var.disk_size
disk_autoresize = true
backup_configuration {
enabled = true
start_time = "02:00"
point_in_time_recovery_enabled = true
backup_retention_settings { retained_backups = var.environment == "production" ? 30 : 7 }
}
ip_configuration {
ipv4_enabled = false
private_network = var.vpc_id
require_ssl = true
}
database_flags { name = "max_connections"; value = var.max_connections }
}
deletion_protection = var.environment == "production"
depends_on = [var.private_vpc_connection]
}
resource "google_sql_database" "app" { name = var.database_name; instance = google_sql_database_instance.main.name }
resource "google_sql_user" "app" { name = var.db_user; instance = google_sql_database_instance.main.name; password = random_password.db.result }
resource "random_password" "db" { length = 32; special = true }
output "connection_name" { value = google_sql_database_instance.main.connection_name }
output "private_ip" { value = google_sql_database_instance.main.private_ip_address }
IAM and Service Accounts
resource "google_service_account" "gke_nodes" {
account_id = "${var.environment}-gke-nodes"
display_name = "GKE Node Pool SA"
}
resource "google_project_iam_member" "gke_nodes" {
for_each = toset([
"roles/logging.logWriter", "roles/monitoring.metricWriter",
"roles/artifactregistry.reader",
])
project = var.project_id
role = each.value
member = "serviceAccount:${google_service_account.gke_nodes.email}"
}
resource "google_service_account" "app" {
account_id = "${var.environment}-app"
display_name = "Application SA"
}
resource "google_service_account_iam_member" "workload_identity" {
service_account_id = google_service_account.app.name
role = "roles/iam.workloadIdentityUser"
member = "serviceAccount:${var.project_id}.svc.id.goog[myapp/app-ksa]"
}
Root Module Composition
module "networking" {
source = "./modules/networking"
project_id = var.project_id
environment = var.environment
region = var.region
}
module "gke" {
source = "./modules/gke"
project_id = var.project_id
environment = var.environment
region = var.region
vpc_name = module.networking.vpc_id
gke_subnet_name = module.networking.gke_subnet_id
node_sa_email = google_service_account.gke_nodes.email
depends_on = [module.networking]
}
module "database" {
source = "./modules/cloud-sql"
project_id = var.project_id
environment = var.environment
region = var.region
vpc_id = module.networking.vpc_id
database_version = "POSTGRES_16"
tier = "db-custom-4-16384"
private_vpc_connection = module.networking.private_vpc_connection
depends_on = [module.networking]
}
Environment Configuration
# environments/production.tfvars
project_id = "my-company-prod"
environment = "production"
region = "us-central1"
terraform plan -var-file=environments/production.tfvars -out=tfplan
terraform apply tfplan
CI/CD Integration
terraform init -input=false
terraform validate && terraform fmt -check
terraform plan -var-file=environments/${ENV}.tfvars -out=tfplan -input=false
terraform apply -input=false tfplan
# Import existing resources
terraform import google_compute_network.vpc projects/${PROJECT_ID}/global/networks/prod-vpc
# State management
terraform state list
terraform state mv google_compute_instance.old google_compute_instance.new
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
Error 403: Access Not Configured | API not enabled | Add API to google_project_service resources |
Error acquiring the state lock | Concurrent run or stale lock | Run terraform force-unlock LOCK_ID after verification |
Resource already exists | Created outside Terraform | Import with terraform import |
Quota exceeded | Project quota too low | Request increase in Cloud Console > Quotas |
| Plan shows destroy/recreate | Changed force-new attribute | Use moved blocks or terraform state mv |
Backend initialization required | Changed backend config | Run terraform init -migrate-state |
| Cycle in resource graph | Circular references | Refactor with data sources; split applies |
Related Skills
- gcp-networking - VPC and firewall resources managed by Terraform
- gcp-gke - GKE cluster provisioning with Terraform modules
- gcp-cloud-sql - Cloud SQL instance management via Terraform
- gcp-compute - Compute Engine resources defined in Terraform
- gcp-cloud-functions - Serverless function deployment with Terraform
FAQ
What does the terraform-gcp skill do?
Provision GCP infrastructure with Terraform. Configure providers and deploy Google Cloud resources. Use when implementing IaC for GCP.
How do I install terraform-gcp?
Run npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill terraform-gcp in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/terraform-gcp/ (personal) or .claude/skills/terraform-gcp/ (project).
Which AI agents can use terraform-gcp?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is terraform-gcp safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains terraform-gcp?
It is published by bagelhole in bagelhole/devops-security-agent-skills. It has 391 recorded installs.
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