deployment-gcp-cloud-run-setup

You can provision a production-grade GCP Cloud Run deployment using Terraform modules that segment dev, staging, and prod environments. The deployment is executed end-to-end via a Makefile, applying configurations for Cloud Run, Firestore, Pub/Sub, and Workflows.

Yes, managing Firestore and Pub/Sub as code is supported through dedicated Terraform modules. This ties together Firestore, Pub/Sub, and Workflows with Cloud Run to provision a complete, scalable, and production-grade GCP infrastructure setup.

The best way to configure canary deployments for Cloud Run is using environment-specific Terraform configurations that support traffic splitting. This allows you to route a portion of traffic to new versions across dev, staging, and prod environments.

You can bootstrap GCP Cloud Run infrastructure by running the command 'make deploy STAGE=dev' in the Makefile. This triggers the Terraform scripts to provision Cloud Run resources, Firestore, Pub/Sub, and Workflows for the specified environment.

Yes, the Terraform setup supports end-to-end deployment workflows that include GCP Workflows. It applies infrastructure as code to provision and integrate Workflows alongside Cloud Run, Firestore, and Pub/Sub for a complete deployment.

You need dedicated Terraform modules for each service to properly bootstrap the infrastructure. The setup provides specific modules for Cloud Run, Firestore, Pub/Sub, and Workflows to ensure scalable and production-grade environment segmentation.