Leaky Bucket

What is Rate Limiting?

Rate limiting is the practice of capping how many requests a client can make to a service within a given time window, protecting the system from overload and a…

How to Design a Rate Limiter?

A rate limiter is designed by choosing an algorithm (token bucket, leaky bucket, fixed window, or sliding window log) that tracks request counts per client key…

What Are the Main Rate Limiting Algorithms?

The main rate limiting algorithms are token bucket, leaky bucket, fixed window counter, sliding window log, and sliding window counter, each trading off burst…

Token Bucket vs Leaky Bucket: What Is the Difference?

Token bucket allows bursts of traffic up to a stored capacity of accumulated tokens while enforcing a long-run average rate, whereas leaky bucket forces reques…

Rate Limiting in Distributed Systems

Rate limiting caps how many requests a client, service, or API key can make within a time window, protecting backend systems from overload, abuse, and cascadin…