Rate Limiting Explained | Single Server vs Distributed (Redis) Tutorial 🚦💻

🚀 Learn Rate Limiting in APIs – Single Server & Distributed (Redis) Explained!

In this tutorial, we dive deep into rate limiting, why it’s crucial for APIs and backend security, and how to implement it in Node.js. You’ll learn:

✅ What Rate Limiting is and why it matters
✅ Problems caused without rate limiting
✅ Where Rate Limiting is used in real-life and technology
✅ Frontend vs Backend Rate Limiting
✅ HTTP Status Code 429 – Too Many Requests
✅ Single server vs multi-server approach
✅ Basic in-memory rate limiter (code example)
✅ Distributed rate limiting using Redis
✅ Real-life examples and analogies for easy understanding
💻 Who is this for:

Backend developers

API developers

Beginners learning Node.js / Redis

Anyone interested in secure and scalable systems

📌 Resources & Code Examples:

Redis Documentation: https://redis.io

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⏱ Timestamps
0:00 – Intro & Title Slide – Rate Limiting 🚦
1:00 – What is Rate Limiting – Concept + Real-life & Tech examples 💻
3:08 – Why Rate Limiting – Prevent abuse, protect server, ensure fair usage
4:56 – Problems Without Rate Limiting – DDoS, overload, brute-force attacks ⚠️
5:49 – Where Rate Limiting is Used – APIs, login, payments, search scraping 🏦
7:10 – Frontend vs Backend Rate Limiting – UX vs Security 🔐
8:23 – HTTP Status Code 429 – Too Many Requests explanation 🛑
9:28 – Topics To Be Covered in Next Class
🔖 Hashtags for SEO
#RateLimiting #APISecurity #nodejs
#Redis #BackendDevelopment #DistributedSystems
#systemdesign #RateLimitingTutorial #WebDevelopment