🔥 Cách giới hạn tốc độ và điều chỉnh giúp API Server của bạn KHÔNG BỊ SẬP!

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. 🚀

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📌 Timestamps

00:00 – Introduction: Why API Traffic Control Matters

00:55 – What is Rate Limiting? How It Works

02:10 – What is Throttling? The Key Differences

03:25 – When to Use Rate Limiting vs. Throttling

04:30 – Token Bucket Algorithm: Rate Limiting in Action

05:45 – Leaky Bucket Algorithm: How Throttling Works

07:07 – Key Takeaway

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