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Redis Caching & Messaging (Pub/Sub, Streams) · Lesson

Rate Limiting and Anti-Patterns

Design and implement effective rate-limiting mechanisms using Redis to protect your APIs and services.

Why Rate Limit?

Rate limiting is a crucial technique to control the frequency of requests an application receives. Think of it as a bouncer at a club, letting only a certain number of people in at a time.

It protects your APIs and services from:

  • Abuse: Preventing malicious attacks like brute-force attempts.
  • Overload: Ensuring your servers aren't overwhelmed by too many requests.
  • Fair Usage: Distributing access fairly among all users.

Rate Limiting Concepts

When we talk about rate limiting, a few key terms come up:

  • Limit: The maximum number of requests allowed.
  • Window: The time period over which the limit applies (e.g., 60 seconds).
  • Burst: A sudden spike in requests.

Different algorithms exist, like Fixed Window and Sliding Window, each with its own trade-offs.

All lessons in this course

  1. Advanced Cache Patterns
  2. Session Management with Redis
  3. Rate Limiting and Anti-Patterns
  4. Cache Invalidation Strategies
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