When it comes to API traffic, flexibility is key. In this video, Raphael De Lio breaks down the token bucket algorithm—one of the most adaptable ways to manage rate limiting with Redis. Learn how the algorithm controls request flow, why Redis is the perfect fit, and how to implement it step by step in Java with Jedis. You’ll also explore how commands like GET, SET, and MULTI/EXEC make token handling efficient and reliable, and how to test your implementation in real-world scenarios.
8 minutes
Key topics
How the token bucket algorithm works and its advantages
Using Redis commands like GET, SET, and MULTI/EXEC to manage token consumption
Building and testing a Java implementation with Jedis
