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Rate Limiter Config

Verified

by Community

Helps you implement API rate limiting using token bucket, sliding window, or fixed window algorithms. Covers per-user limits, tier-based throttling, rate limit headers, retry-after responses, and distributed rate limiting with Redis.

ratelimitingapithrottlingprotectionredis

Rate Limiter Config

Configure API rate limiting to protect services and ensure fair usage with appropriate algorithms and headers.

Usage

Describe your API traffic patterns and protection needs, and this skill will configure rate limiting.

Examples

  • "Implement token bucket rate limiting for my REST API"
  • "Set up tier-based rate limits: free 100/hr, pro 1000/hr"
  • "Configure distributed rate limiting with Redis for a multi-server setup"

Guidelines

  • Include RateLimit headers in responses so clients can self-throttle
  • Return 429 Too Many Requests with Retry-After header
  • Use sliding window algorithm for smoother rate enforcement
  • Set different limits per endpoint based on resource cost
  • Log rate limit events for monitoring and capacity planning