🔥 How Rate Limiting and Throttling Saves Your API Server From CRASHING!

In a high-traffic system, too many requests hitting a server at once can lead to slow performance or downtime. That’s where Rate Limiting & Throttling come in! These techniques ensure system stability by managing API traffic efficiently. In this video, we’ll break down their differences, use cases, and real-world implementation in Java using Token Bucket & Leaky Bucket algorithms. Learn how to prevent API overload, improve performance, and choose the best strategy for your backend. Whether you're building APIs, working with cloud microservices, or designing scalable systems, this deep dive into Rate Limiting & Throttling will help you optimize API performance like a pro. 🚀

  / bytemonk  

📌 Timestamps
00:00 – Introduction: Why API Traffic Control Matters
00:39 – What is Rate Limiting? How It Works
01:20 – What is Throttling? The Key Differences
02:14 – When to Use Rate Limiting vs. Throttling
03:41 – Token Bucket Algorithm: Rate Limiting in Action
04:36 – Leaky Bucket Algorithm: How Throttling Works
07:11 – Key Takeaway


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