Problems / Scaling, medium
A ledger service is 60% writes at 1,500 req/s on a 2-vCPU database. Read replicas won’t help writes.
Free to open. Runs in your browser, no sign-up.
Success ≥ 99%, p99 ≤ 500 ms.
1,500 requests a second for 30 seconds: 40% reads, 60% writes.
What each component does in this design, and what calls it. The simulator mimics each one from these settings.
| Component | Its job here | Settings |
|---|---|---|
| Load balancerLoad balancer | Traffic 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 service | Load 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 database | API calls it.Postgres runs one process per connection, which is why poolers like PgBouncer sit in front of busy databases. | 2 vCPU · 60 connections |
Try it first. Open one hint at a time if you get stuck.
Replicas copy writes too; they don’t absorb them.
Scale the primary up.
Give the database more vCPU (vertical scaling), e.g. "give the database 8 vcpu".