Building Efficient Rate Limiters: Choosing the Right Algorithm for Your Architecture

Rate limiting is critical for maintaining system stability and preventing service degradation in modern distributed systems. Understanding the trade-offs between different algorithms—token bucket, sliding window, leaky bucket—helps engineers design systems that balance performance with fairness. This guide provides practical insights into implementing rate limiting strategies that scale effectively while protecting backend resources.