Leaky Bucket Algorithm Explained | Smooth Traffic & Rate Limiting Made Simple #RateLimiting

In this video, we break down the Leaky Bucket Algorithm using a simple, real-world analogy.

1. Imagine a bucket with a small hole at the bottom, leaking water at a constant rate.
2. Water (requests) comes in from a tap, sometimes slow, sometimes heavy.
3. If the bucket overflows, excess water represents requests that are dropped or rejected.
4. This ensures that the server processes requests at a steady, predictable rate—no matter how bursty the traffic is.

We also look at logging systems as a practical example: logs are added to a bounded buffer and processed at a fixed rate, while excess logs are dropped when the buffer is full.

Whether you’re learning rate limiting, server throttling, or system design, this video makes it easy to understand!

#LeakyBucketAlgorithm #RateLimiting #ServerThrottling #SystemDesign #TrafficShaping #Networking #API #BackendDevelopment #LoggingSystem #TechTutorial #SoftwareEngineering #ProgrammingConcepts #ComputerScience #PerformanceOptimization #BurstTrafficHandling #QueueManagement #ServerCapacity #TechExplained #DevOps #WebDevelopment

Видео Leaky Bucket Algorithm Explained | Smooth Traffic & Rate Limiting Made Simple #RateLimiting канала SummarizedAI