Distributed Rate Limiting Explained | Protect Your Systems from Traffic Spikes

🚨 One traffic spike can crash your entire system. Distributed Rate Limiting prevents that.

Learn how it works — and Like, Share, and Subscribe to Perfology for weekly performance & system design breakdowns.

Rate limiting is easy on a single server.

But how do you enforce rate limits across multiple services, regions, and instances?

In this fast-paced 6-minute session, we break down Distributed Rate Limiting with simple examples and real-world system design patterns used by high-scale platforms.

💡 What you’ll learn:

What rate limiting is (with real examples)

Why traditional rate limiting fails at scale

Distributed rate limiting architectures

Token bucket, leaky bucket & sliding window

Redis and cache-based global limiters

Design trade-offs for performance & reliability

Perfect for:
Backend Engineers • SREs • DevOps • Architects • Performance Engineers

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Performance Engineering • Observability • Cloud • DevOps • Scalable System Design

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