Problems / Databases, hard

Stale reads and lost updates

A profile service reads from replicas that lag 1.5 seconds and updates popular rows with read-then-write. Users see old profiles, and some edits vanish.

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Your goals

No stale reads, no lost updates, success ≥ 99%.

The traffic

1,500 requests a second for 30 seconds: 60% reads, 40% 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 API.Layer 4 balancers route by IP and port; layer 7 balancers read HTTP and can route by path or header.–
APIApp serviceLoad balancer forwards to it.Calls Postgres.Little's law: throughput ≈ concurrency ÷ latency. 200 slots at 50 ms serve about 4,000 req/s.3 replicas × 200 slots · timeout 1.0 s
PostgresSQL databaseAPI calls it.Postgres runs one process per connection, which is why poolers like PgBouncer sit in front of busy databases.8 vCPU · 60 connections · 2 read replicas

Hints

Try it first. Open one hint at a time if you get stuck.

Hint 1

Two different correctness bugs, two different settings on the database.

Hint 2

Lost updates come from the write mode; stale reads from where reads go after a write.

Hint 3

Atomic conditional updates, and read-your-writes routing.

One way to solve it

Set the write mode to atomic conditional updates and route read-your-writes traffic to the primary.

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