Eliiomai Tutorials

Understanding API Rate Limiting

Learn how to protect your APIs from abuse and overuse through intelligent rate limiting strategies.

What is API Rate Limiting?

API rate limiting is a technique to control the frequency of requests that a client can make per unit time. It prevents abuse, ensures fair usage, and maintains system stability.

Key Concepts

  • Requests per second (RPS): Number of allowed requests per second
  • Rate limit headers: X-RateLimit-Remaining and X-RateLimit-Reset
  • Throttling: Managing traffic flow rather than hard rate limits

Rate Limiting Strategies

Token Bucket

Stores excess capacity in a "bucket" to absorb traffic surges. New tokens added at fixed rate.

Leaky Bucket

Processes requests at fixed rate even during traffic bursts. Prevents sustained high volumes.

Best Practices

Client-Side Handling

  • Implement retry-with-exponential-backoff
  • Display rate limit warnings in UI
  • Cache responses when safe

Server-Side Handling

  • Use distributed rate limiting for scale
  • Provide informative 429 responses
  • Monitor and log abuse patterns