GCP Infrastructure Deployment
This section guides you through deploying the GCP infrastructure foundation required for AI/Run CodeMie using Terraform automation.
If you already have a provisioned GKE cluster with all required GCP services (networking, storage, databases, etc.), you can skip this section and proceed directly to Components Deployment.
Overview
The Terraform deployment is organized into two distinct phases, each with its own set of resources and purpose:
- Terraform State Backend - Infrastructure for storing Terraform state files securely
- Core Platform Infrastructure - Main GCP resources for running AI/Run CodeMie
Phase 1: Terraform State Backend
The state backend is deployed first to provide secure, centralized storage for Terraform state files.
| Resource | Purpose |
|---|---|
| Storage Bucket | Google Cloud Storage bucket for storing Terraform state files with versioning |
The Terraform state backend enables:
- Team Collaboration: Multiple engineers can work on infrastructure simultaneously
- State Locking: Prevents concurrent modifications that could corrupt state
- Versioning: Maintains history of infrastructure changes
- Security: State files contain sensitive data and require secure storage
Phase 2: Core Platform Infrastructure
The core platform infrastructure provisions all GCP resources needed to run AI/Run CodeMie. This is the main deployment phase and following GCP resources will be deployed:
Compute & Orchestration
| Resource | Purpose |
|---|---|
| GKE Cluster | Private or public Kubernetes cluster for running AI/Run CodeMie workloads |
| Node Pools | Managed node groups for application workloads |
| Bastion Host | Management VM for secure cluster access (optional, for private clusters) |
Networking
| Resource | Purpose |
|---|---|
| VPC Network | Virtual Private Cloud for isolated network environment |
| Subnets | Network segmentation for GKE nodes and pods |
| Cloud NAT | Provides consistent outbound public IP for internet connectivity |
| Cloud Router | Enables dynamic routing for VPC |
| DNS Zones | Name resolution for CodeMie components (public or private) |
| Firewall Rules | Network access control and traffic filtering |
Data & Storage
| Resource | Purpose |
|---|---|
| Cloud SQL (PostgreSQL) | Managed PostgreSQL database service for CodeMie application data with private connectivity |
| Cloud Storage Buckets | Optional persistent storage for CodeMie application data and artifacts |
Some components like Cloud Storage buckets or public DNS zones may be optional depending on your deployment configuration and requirements.
Security & Identity
| Resource | Purpose |
|---|---|
| Cloud KMS Key | Encryption key for encrypting and decrypting sensitive data in AI/Run CodeMie |
| Service Accounts | Identity for accessing GCP services (Vertex AI, Cloud Storage, etc.) |
| IAM Role Bindings | Role-based access control for service accounts |
| Private Service Access | Secure, private network access to Cloud SQL |
Terraform Modules
The core platform infrastructure leverages proven Terraform modules from the community to ensure reliability, security, and best practices:
- terraform-google-modules/service-accounts
- terraform-google-modules/kms
- terraform-google-modules/network
- terraform-google-modules/cloud-nat
- terraform-google-modules/kubernetes-engine
- terraform-google-modules/bastion-host
- terraform-google-modules/cloud-dns
- TerraformFoundation/sql-db/google/private_service_access
- TerraformFoundation/sql-db/google/postgresql
Next Steps
With the infrastructure resources defined, you are now ready to proceed with the deployment of the GCP infrastructure.
Continue to the Infrastructure Deployment Guide to execute the deployment process and provision all required GCP resources for AI/Run CodeMie.