This chapter covers ride-sharing scale: active drivers, ride requests per minute, location update frequency, matching latency SLA.

This chapter covers key questions: geofencing regions, surge pricing, driver acceptance timeout, trip state machine.

This chapter covers polling-based driver location and brute-force nearest driver search — why it breaks at city scale.

This chapter covers geohash-based spatial indexing with WebSocket driver streams and event-driven trip state machine.

This chapter covers two approaches: geohash grid vs S2 geometry library for spatial indexing — accuracy vs complexity.

This chapter covers how Uber and Lyft handle driver location, matching, and pricing in real time.

This chapter covers geospatial indexing fundamentals, idempotent trip events, surge pricing as a reliability signal.

This chapter covers driver location lag causing wrong matches, trip state machine deadlocks, payment race conditions.