📄️ 01 · Quickstart
Bootstrap a local NoETL cluster, run the spike e2e, and read the diagnostic telemetry — about 15 minutes.
📄️ 02 · GKE Production Deploy
Provision a GKE cluster, deploy the NoETL stack with Vertex AI as the triage backend, configure Auth0 + ingress + TLS, and run the spike against the cloud cluster. About 1–2 hours.
📄️ 03 · Self-Troubleshooting Playbook
Compose a parent playbook that dispatches a failing sub-playbook, gets a structured diagnosis attached automatically, and routes downstream behavior on the diagnosis category. About 30 minutes.
📄️ 04 · Frontend Onboarding
Long-form walkthrough for building a frontend that talks to the NoETL gateway: Auth0 flow, session token storage, GraphQL executePlaybook calls, SSE for live updates, error handling, and production hardening. About 45 minutes.
📄️ 05 · Add a new MCP backend
Advanced. Build a new MCP backend behind the JSON-RPC contract used by mcp/ollama and mcp/vertex-ai. Worked example: AWS Bedrock or Azure OpenAI. About 2 hours.