Abhishek Singh designs 1M+ RPS limiter

- Abhishek Singh posted a detailed design thread for a distributed rate limiter targeting 1M+ requests per second, covering token buckets, Redis sharding, hot‑key mitigation, multi‑region consistency and failure recovery patterns. - The thread walks through sharded Redis topologies, token‑bucket coordination, hot‑key routing, failure scenarios and the tradeoffs of enforcing strict global throttles versus local allowances across regions at scale in production. - The guidance is practical for consumer API platforms that need predictable throttling under bursty traffic, hot‑key storms and cross‑region fallback strategies. (x.com)