Realtime Decision Platform

The Realtime Decision Platform is a production event-driven, multi-tenant decision platform for high-frequency data streams. This documentation section captures the architecture patterns that make it work — not a turnkey deployment manual, since the platform is delivered as a custom engagement.

In this section

• Architecture — Event-driven core, ML pipeline, multi-tenant model, observability layer, and how the pieces fit together.

At a glance

• Scale — ~100 000 SLOC Python, 7 daemons in production, 147 feature signals, 21 live dashboards.
• Stack — Python 3.13+, PostgreSQL 17, XGBoost + ONNX Runtime, Optuna, asyncpg, aiohttp.
• Properties — 51 % async functions, durable events, at-least-once delivery, cursor-tracked replay.

If you are evaluating whether this pattern fits your event-driven workload, Architecture is the right place to start. For business-level positioning, see the Realtime Decision Platform portfolio entry.