Operator / SRE
Deploy, monitor, and maintain the platform in production. Runbooks, health checks, incident response, and configuration reference.
Graph OLAP Platform
Platform overview
Section titled “Platform overview”The Graph OLAP Platform provides graph-based analytics over OLAP data sources. It federates queries across Starburst (Trino), materialises results into FalkorDB and RyuGraph for graph traversal, and exposes a Python SDK for analysts working in JupyterHub. The platform runs on Kubernetes (GKE) with Helm-managed deployments and ArgoCD-driven continuous delivery.
Architect
System design, data model, authorization model, and architectural decisions. C4 diagrams, component boundaries, and non-functional requirements.
Developer
Service internals for control-plane, export-worker, and graph wrappers.
Analyst
Python SDK, Jupyter notebook tutorials, graph algorithms, and query patterns. Getting started guide, core concepts, and API reference.
Key documents
Section titled “Key documents” Known Issues Current defects, workarounds, and resolution status.
Configuration Reference Environment variables, feature flags, and tunables for each service.
Service Catalogue All deployed services, endpoints, health checks, and ownership.
Incident Response Escalation procedures, severity definitions, and response runbook.
SDK Getting Started Install the Python SDK, connect to the platform, and run your first query.
See the FAQ for answers to common operator and analyst questions about FalkorDB, SDK configuration,