Dev tools · September 18, 2025
Distributed Rate Limiter – 50K+ RPS, Redis-Backed, Production-Ready
Hi HN! I built a distributed rate limiter using the token bucket algorithm with Redis backing. Key highlights: • 50,000+ requests/second throughput with <2ms P95 latency • Redis-backed distributed state for multi-instance deployments • 18 REST API endpoints for rate limiting, config, and monitoring • 265+ tests including load tests and integration tests • Docker/Kubernetes ready with comprehensive documentation Built with Java 21 + Spring Boot. Perfect for protecting APIs, microservices, or SaaS platforms from abuse. The pain point I solved: existing solutions were either too…
What it does
In the maker’s words, at launch
Hi HN! I built a distributed rate limiter using the token bucket algorithm with Redis backing. Key highlights: • 50,000+ requests/second throughput with <2ms P95 latency • Redis-backed distributed state for multi-instance deployments • 18 REST API endpoints for rate limiting, config, and monitoring • 265+ tests including load tests and integration tests • Docker/Kubernetes ready with comprehensive documentation Built with Java 21 + Spring Boot. Perfect for protecting APIs, microservices, or SaaS platforms from abuse. The pain point I solved: existing solutions were either too simple (in-memory only) or too complex (enterprise-only). This fills the gap with a production-ready, easy-to-deploy solution. Try it: Download the JAR, start Redis, and you're rate limiting in 30 seconds. Would love feedback on the API design and performance characteristics! GitHub: https://github.com/uppnrise/distributed-rate-limiter
Does the same job
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