API Rate Limiting Algorithms | Token Bucket, Leaky Bucket, Fixed Window, Sliding Window Approach
Learn how to design a robust rate limiter for APIs using various algorithms - Token Bucket, Leaky Bucket (Leaking Bucket), Sliding Window, and Fixed Window Counters. Whether preparing for an interview, working on microservices, or implementing rate limiting in a real-world scenario, this video covers everything you need to know.
Hi, I am Gourav Dhar, and I am a software developer. In this video, I compare rate-limiting algorithms such as the Token Bucket, Leaky Bucket, Fixed Window Counter, and Sliding Window Log Approach. Dive into the details of rate limiting for APIs and enhance your system design skills today!
This video is part of the System Design playlist - make sure to check out other videos in this playlist too. Don't forget to subscribe to my channel @codewithgd for more such content.
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Contents Covered in this video
00:00 Intro
00:26 Why Rate Limit?
02:18 Token Bucket
06: 00 Leaky Bucker
08:27 Fixed Window Counter
11:38 Sliding Window Log Approach
