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Rate Limiting, Throttling and Quota Management Questions

Protecting API capacity and enforcing fair use: rate-limiting algorithms (token bucket, leaky bucket, fixed/sliding window), per-client quotas, throttling responses (429 semantics, Retry-After), and tiered plan enforcement. Covers where to enforce limits (gateway vs. service), distributed counters, and graceful degradation under load.

MediumTechnical
94 practiced

Implement a small in-memory rate limiter middleware in TypeScript (Node/Express) that limits requests per user per minute. Emphasize clear naming, testability, and handling of edge cases like clock skew and missing user id. Provide one unit test example.

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