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* separating GKE Standard and Autopilot Modules * Changes for Updating the terraform and provide versions * Changes for Autopilot Readme * Changes for Autopilot Variable * Changes for Autopilot Readme * Changes for Autopilot Readme * Changes for Blueprint * Changes for Blueprint ReadMe * Changes for gke-standard-cluster dependency * Changes for gke-standard-cluster in gke-fleet * Changes for gke-standard-cluster in cluster-mesh-gke-fleet-api * python formatting * python formatting * python formatting * GKE module naming convention * Readme Changes * test module * Removing comment code from Autopilot |
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| README.md | ||
README.md
Terraform end-to-end blueprints for Google Cloud
This section provides networking blueprints that implement core patterns or features, data solutions blueprints that demonstrate how to integrate data services in complete scenarios, cloud operations blueprints that leverage specific products to meet specific operational needs, GKE and Serverless blueprints, and factories that implement resource factories for the repetitive creation of specific resources.
Currently available blueprints:
- apigee - Apigee Hybrid on GKE, Apigee X analytics in BigQuery, Apigee network patterns
- cloud operations - Active Directory Federation Services, Cloud Asset Inventory feeds for resource change tracking and remediation, Fine-grained Cloud DNS IAM via Service Directory, Cloud DNS & Shared VPC design, Delegated Role Grants, Networking Dashboard, Managing on-prem service account keys by uploading public keys, Compute Image builder with Hashicorp Packer, Packer example, Compute Engine quota monitoring, Scheduled Cloud Asset Inventory Export to Bigquery, Configuring workload identity federation with Terraform Cloud/Enterprise workflows, TCP healthcheck and restart for unmanaged GCE instances, Migrate for Compute Engine (v5) blueprints, Configuring workload identity federation to access Google Cloud resources from apps running on Azure
- data solutions - GCE and GCS CMEK via centralized Cloud KMS, Cloud Composer version 2 private instance, supporting Shared VPC and external CMEK key, Cloud SQL instance with multi-region read replicas, Data Platform, Spinning up a foundation data pipeline on Google Cloud using Cloud Storage, Dataflow and BigQuery, #SQL Server Always On Groups blueprint, Data Playground, MLOps with Vertex AI, Shielded Folder, BigQuery ML and Vertex AI Pipeline
- factories - The why and the how of Resource Factories, Google Cloud Identity Group Factory, Google Cloud BQ Factory, Google Cloud VPC Firewall Factory, Minimal Project Factory
- GKE - Binary Authorization Pipeline Blueprint, Storage API, Multi-cluster mesh on GKE (fleet API), GKE Multitenant Blueprint, Shared VPC with GKE support, GKE Autopilot
- networking - Calling a private Cloud Function from On-premises, Decentralized firewall management, Decentralized firewall validator, Network filtering with Squid, GLB and multi-regional daisy-chaining through hybrid NEGs, Hybrid connectivity to on-premise services through PSC, HTTP Load Balancer with Cloud Armor, Hub and Spoke via VPN, Hub and Spoke via VPC Peering, Internal Load Balancer as Next Hop, Network filtering with Squid with isolated VPCs using Private Service Connect, On-prem DNS and Google Private Access, PSC Producer, PSC Consumer, Shared VPC with optional GKE cluster
- serverless - Creating multi-region deployments for API Gateway, Cloud Run series
- third party solutions - OpenShift on GCP user-provisioned infrastructure, Wordpress deployment on Cloud Run
For more information see the individual README files in each section.