Code Room
System designMedium
Question
Design a simple per-user API rate limiter for a small backend — say, allow each user 100 requests per minute, returning HTTP 429 when they exceed it. The backend runs as a couple of app instances behind a load balancer, so a user's requests can land on different instances. Cover the algorithm, where the counters live, and what happens when the limit is hit.
What a strong answer looks like
Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts — data model, bottlenecks, consistency, failure modes — and name the trade-offs you are making.
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