Rate limiting keeps your systems fast, fair, and secure—but not all limiters are created equal. In this session, Raphael De Lio breaks down how to build powerful, efficient rate limiters with Redis. Learn why rate limiting goes far beyond blocking bad actors, how Redis makes it effortless at scale, and which algorithms—leaky bucket, token bucket, fixed window, or sliding window—fit your use case best.
6 minutes
Key topics
Why rate limiting is essential
How Redis makes rate limiting fast, scalable, and reliable.
The most popular algorithms—Leaky Bucket, Token Bucket, Fixed Window, and Sliding Window methods—and how to pick the right one for your needs
