Why architecture matters here

Rate limits fail when they're too coarse (hurt everyone) or too fine (miss abuse). Architecture matters because algorithm + store + fairness combine.

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The architecture: every piece explained

The top strip is core. Request. Token bucket. Sliding window. Distributed store.

The middle row is UX. Client fairness. 429 + Retry-After. Emergency shutoff. Multi-region.

The lower rows are ops. Metrics. Fallback. Ops — governance + audit + drills.

Rate limit — token bucket + sliding window + distributed store + fairnessthrottle without hurting good actorsRequestkeyed by user / IP / APIToken bucketburst + steadySliding windowpreciseDistributed storeRedis / cell-localClient fairnessper-tier caps429 + Retry-AfterexplicitEmergency shutoffkill switchMulti-regiondistributed rateMetricsthrottle + retry rateFallbackdegrade gracefullyOps — governance + audit + drillsfairsignalsafescalewatchdegradedegradeoperateoperate
Rate limit architecture with fairness + fallback.
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End-to-end flow

End-to-end: request keyed by user_id. Token bucket allows 100/min + burst 20. Redis stores counter. Free tier vs pro tier get different caps. 429 returned with Retry-After. Emergency kill switch shuts down abuse fast.