Distributed Rate Limiting with Redis & GCRA in Golang
Pillar Architecture Guide: This article is part of the High-throughput Go Framework Benchmarks: Gin, Fiber, Kratos series. Please refer to the original article for a comprehensive overview of the architecture. Prerequisite: Before reading this chapter, review Chapter 2: The 3 Caching Vulnerabilities. Chapter 3: Distributed Rate Limiting with Redis & GCRA Algorithm Executive Summary & Quick Answer: Distributed rate limiting in microservice architectures requires centralized state management in Redis to avoid load-balancer bypasses. Implementing the Generic Cell Rate Algorithm (GCRA) via atomic Lua scripts tracks Theoretical Arrival Times (TAT) using a single 64-bit integer per user key, guaranteeing sub-millisecond execution. ...