Real-Time Ride-Hailing Architecture: Uber & Grab Stack
Real-Time Ride-Hailing Architecture: Matching, Spatial Indexing & Websockets Answer-First: Real-time ride-hailing platforms like Uber and Grab process millions of GPS updates per second using hexagonal spatial partitioning (Uber H3), Kafka stream ingestion, in-memory matching engines (DISCO), dynamic surge pricing algorithms, and persistent push gateways (RAMEN/WebSockets) to complete driver-passenger matching under 3 seconds. Scaling matching engines to millions of geographic updates using H3 indexing. Designing low-latency push notification gateways to dispatch driver routes. The moment you open the Uber or Grab app, a cascade of real-time systems activates simultaneously: your phone begins transmitting GPS coordinates, a geospatial index updates your location, a matching engine re-evaluates nearby driver availability, a pricing model recalculates the fare based on supply-demand ratios, and a push notification pipeline prepares to deliver your match confirmation in under 3 seconds. ...