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
- Advanced Cache Patterns
- Session Management with Redis
- Rate Limiting and Anti-Patterns
- Cache Invalidation Strategies