Problems / Real world, hard

Ride dispatch: 30,000 location pings a second

Asked at Uber and Lyft. Drivers ping their location every few seconds, riders ask for ETAs and request rides, and all of it goes through one API to one PostGIS database. At 10 s a concert lets out and traffic rises 80%.

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Your goals

Success ≥ 99.5%, p99 ≤ 800 ms and Apdex ≥ 0.90 through the surge, for at most $26,000 a month.

Test cases

Like a coding problem, a solution has to pass every case, not just the one it was built for. Submit in the lab runs all 4; 1 of them are hidden until then.

  1. As given. The problem’s own traffic, scheduled failures and seed.
  2. A slow dependency. The main data store or model answers twice as slowly for part of the run.
  3. A server dies. One replica of the service with the most replicas is killed for part of the run.

The traffic

30,000 requests a second for 20 seconds: 85% ping (writes), 10% eta (reads), 5% match (writes).

The system

What each component does in this design, and what calls it. The simulator mimics each one from these settings.

ComponentIts job hereSettings
Load balancerLoad balancerTraffic enters here.Calls Dispatch API.Layer 4 balancers route by IP and port; layer 7 balancers read HTTP and can route by path or header.–
Dispatch APIApp serviceLoad balancer forwards to it.Calls Drivers and trips (Postgres with PostGIS).Little's law: throughput ≈ concurrency ÷ latency. 200 slots at 50 ms serve about 4,000 req/s.16 replicas × 100 slots · timeout 1.0 s
Drivers and trips (Postgres with PostGIS)SQL databaseDispatch API calls it.Postgres runs one process per connection, which is why poolers like PgBouncer sit in front of busy databases.32 vCPU · 800 connections

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