Rate limiting with Code

Описание: 🎥 System Design Playlist | Day 15
In this episode, the focus is on rate limiting, a core mechanism for building stable, secure, and scalable backend systems.

🚀 Topics Covered:
🔹 Why rate limiting is required in modern distributed systems
🔹 Token Bucket Algorithm – handling bursts efficiently
🔹 Leaky Bucket Algorithm – ensuring steady request flow
🔹 Fixed Window Counter – simple but with edge-case issues
🔹 Sliding Window Log – precise but memory intensive
🔹 Sliding Window Counter – optimized hybrid approach
🔹 Trade-offs, real-world use cases, and implementation insights

⏱️ Timestamps:
00:00 – Overview
00:29 – Why we need Rate Limiting
02:50 – Token Bucket Algorithm
11:20 – Leaky Bucket Algorithm
19:30 – Fixed Window Counter
24:54 – Sliding Window Log
30:30 – Sliding Window Counter
39:40 – Summary

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💡 Watch till the end to understand how large-scale systems protect themselves from abuse and maintain performance using rate limiting strategies

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#SystemDesign #RateLimiting #BackendDevelopment #Scalability #APIs #DistributedSystems #DevOps #SoftwareEngineering