Rate Limiter Design: How Twitter & Amazon Manage 1M Requests/Second | System Design Ep 8

Want to protect your API from being overwhelmed by traffic? Learn how to design a production-grade rate limiter used by companies like Twitter, Amazon, and Shopify!

System Design Playlist - https://www.youtube.com/playlist?list=PL8iJeTs2w53fz2K_gWrdozpLTE5VsEr67

📊 What You'll Learn:
✅ What is a Rate Limiter & Why It's Critical
✅ Benefits: Prevent DDoS, Reduce Costs, Protect Servers
✅ Server-Side vs Middleware vs Client-Side Implementation
✅ 5 Rate Limiting Algorithms Compared:
Token Bucket (Amazon, Stripe)
Leaking Bucket (Shopify)
Fixed Window Counter
Sliding Window Log
Sliding Window Counter
✅ High-Level Architecture Design
✅ HTTP 429 Response & Rate Limiter Headers
✅ Distributed Systems Challenges:
Race Conditions (Lua Scripts, Sorted Sets)
Synchronization Issues (Redis, Multi-Data Center)
✅ Hard vs Soft Limiting
✅ OSI Model Layer Considerations

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⏱️ Timestamps:
0:00 - Introduction to Rate Limiters
0:12 - What is a Rate Limiter?
1:12 - Benefits (DDoS Prevention, Cost Reduction)
3:06 - Requirements & Design Considerations
4:04 - Where to Place Rate Limiter
5:07 - API Gateway
5:59 - Algorithm 1: Token Bucket
8:01 - Algorithm 2: Leaking Bucket
9:44 - Algorithm 3: Fixed Window Counter
11:12 - Algorithm 4: Sliding Window Log
13:48 - Algorithm 5: Sliding Window Counter
14:59 - High-Level Architecture
17:02 - Complete Design Walkthrough
18:28 - Distributed Systems Challenges
18:53 - Race Conditions & Solutions
20:13 - Synchronization Issues
21:56 - Multi-Data Center Setup
22:02 - Hard vs Soft Limiting
23:09 - Rate Limiting at Different OSI Layers

Видео Rate Limiter Design: How Twitter & Amazon Manage 1M Requests/Second | System Design Ep 8 канала Vishal Kumar