Rate Limiting

Per-user rate limiting is implemented by applying configurable throttling rules per user, endpoint, and tier to protect authenticated APIs and public endpoints from abuse. This approach preserves service quality by preventing individual users from overwhelming system resources.

Distributed rate limiting uses Redis to maintain shared throttling state across multiple servers, ensuring consistent per-user and per-endpoint limits in distributed environments. This guarantees accurate request counting and API throttling when scaling horizontally.

Yes, you can configure distinct rate limits per tier to differentiate throughput capacity between standard and premium users. This tier-based API throttling allows premium users higher request volumes while maintaining strict limits on public APIs.

API throttling should include clear response headers that communicate rate limit status, remaining request quotas, and retry guidance. These headers provide clients with the necessary retry semantics to handle backpressure gracefully.

Login endpoints require rate limiting to prevent brute force attacks and credential stuffing by restricting request throughput per user. Applying per-endpoint throttling protects authentication APIs from automated abuse while preserving legitimate access.