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API Rate Limiting & Scalability Patterns · Lesson

In-Memory Rate Limiter Design

Design and implement a basic in-memory rate limiter, suitable for single-instance applications, using common programming patterns.

Intro to In-Memory Limiting

Welcome to designing an in-memory rate limiter! This is the simplest type of rate limiter, perfect for understanding the core concepts.

An in-memory rate limiter stores all its tracking data (like how many requests a user has made) directly in the application's RAM, not in a separate database or service.

This makes it fast and easy to set up, but it comes with specific limitations we'll explore.

Why Use In-Memory?

In-memory rate limiters are ideal for:

  • Single-instance applications: Where your application runs on just one server.
  • Quick prototypes: To test rate limiting concepts without complex infrastructure.
  • Non-critical APIs: Where occasional dropped requests due to server restarts are acceptable.

They are simple to implement because they don't need to communicate with external data stores.

All lessons in this course

  1. In-Memory Rate Limiter Design
  2. Distributed Rate Limiting with Redis
  3. Handling Rate Limit Exceedance
  4. Testing and Monitoring Your Rate Limiter
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