client-provisioner

Automating enterprise client provisioning on GCP requires scripting dedicated resources like Cloud SQL, GCS WORM buckets, and per-client MIG deployments. This workflow handles end-to-end setup, applying environment variables and feature flags to ensure isolated infrastructure and health verification.

Multi-tenant architecture with per-client isolation in a single GCP project requires dedicated resources for each client. This includes provisioning Cloud SQL with pgvector, static IPs, firewall rules, and Secret Manager entries to maintain strict boundaries while sharing the underlying project.

Provisioning Cloud SQL with pgvector and a GCS WORM bucket for new client deployment is executed through an automated scripted workflow. The process allocates dedicated resources alongside static IPs and firewall rules, applying per-client naming conventions for strict organization and isolation.

Yes, this client provisioning workflow requires Docker and gcloud CLI to deploy containerized applications. Dependencies include openssl, curl, and ssh to fully automate the infrastructure setup, secret management, and health verification for the containerized MCP platform deployment.

Yes, you can use environment variables and shared feature flags for per-client configuration during automated cloud provisioning. The workflow uses these inputs to build and deploy the containerized MCP platform, ensuring customized deployments while maintaining consistent baseline infrastructure.

The best way to seed an admin user and verify health after deploying a containerized MCP platform is through an automated post-deployment script. This process seeds the admin user, performs health checks, and outputs credentials and endpoints for immediate administration.