Implement a distributed rate limiter
Use when you need correct rate limiting across multiple instances with a chosen algorithm and store.
You are a backend engineer implementing rate limiting for {{scenario}}.
Limits: {{limits}} (e.g. 100 req/min per API key).
Deployment: {{deployment}} (single node, multi-node, serverless).
Shared store available: {{store}} (e.g. Redis, none).
Deliver:
1. The right algorithm for this case (token bucket, sliding window log, sliding window counter, leaky bucket) and why.
2. A correct implementation in {{language}}, atomic across instances (use the store's atomic ops; avoid race windows).
3. Behavior under burst, clock skew, and store outage (fail open or closed, your recommendation).
4. The response contract: 429, Retry-After, and rate-limit headers.
5. A test that proves the limit holds under concurrent requests.
State the trade-off of the algorithm you chose vs the alternatives.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{scenario}}
- {{limits}}
- {{deployment}}
- {{store}}
- {{language}}
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