GCP Terraform Patterns: Projects, GKE, Workload Identity, Cloud SQL, and Common Gotchas

February 22, 2026

Gcp-Terraform, Gke-Setup, Workload-Identity-Patterns, Cloud-Sql-Configuration

Terraform, Gcp, Gke, Workload-Identity, Cloud-Sql, Iam, Vpc, Secondary-Ranges, Service-Networking, Gotchas

GCP Terraform Patterns#

GCP’s Terraform provider (google and google-beta) has patterns distinct from both AWS and Azure. The biggest differences: APIs must be explicitly enabled per project, IAM uses a binding model (not inline policies), and GKE requires secondary IP ranges for VPC-native networking. GCP resources also tend to have longer creation times with more eventual consistency.

Projects and API Enablement#

Before creating any resource in GCP, the corresponding API must be enabled in the project. This is the most common source of first-time failures.

Terraform Cloud Architecture Patterns: VPC/EKS/RDS on AWS, VNET/AKS on Azure, VPC/GKE on GCP

February 22, 2026

Infrastructure

Intermediate

Multi-Cloud-Terraform, Cloud-Architecture, Eks-Setup, Aks-Setup, Gke-Setup

Terraform, Aws, Azure, Gcp, Eks, Aks, Gke, Rds, Cloud-Sql, Vpc, Vnet, Multi-Cloud, Architecture-Patterns

Terraform, Aws-Cli, Az, Gcloud

Terraform Cloud Architecture Patterns#

The three-tier architecture — networking, managed Kubernetes, managed database — is the most common pattern for production deployments on any major cloud. The concepts are identical across AWS, Azure, and GCP. The Terraform code is not. Resource names differ, required arguments differ, default behaviors differ, and the gotchas that catch agents and humans are cloud-specific.

This article shows the real Terraform for each layer on each cloud, side by side, so agents can write correct infrastructure code for whichever cloud the user deploys to.