Use Cases
- Test API rate limiting behavior
- Handle 429 responses gracefully
- Implement basic backoff strategies
- Monitor rate limit headers
Simple Implementation
Setup Instructions
- Replace
/api/data
and/api/search
with your actual API endpoints - Adjust backoff times based on your API’s requirements
- Customize rate limit header names for your API
- Test with different request volumes to trigger rate limits
What This Tests
- Rate Limit Detection: Handles 429 status codes
- Backoff Strategy: Waits before retrying after rate limits
- Header Monitoring: Checks remaining request counts
- Recovery: Resumes requests after backoff period
Rate Limit Headers
Common headers to check:X-RateLimit-Remaining
: Requests left in current windowRetry-After
: Seconds to wait before retryingX-RateLimit-Reset
: When the limit resets
Simple Backoff Strategy
When rate limited (429 response):- Stop making requests
- Wait for the time specified in
Retry-After
header - Resume requests after backoff period
- Track how many times you hit limits
Best Practices
- Always respect the
Retry-After
header - Monitor remaining requests to avoid hitting limits
- Use exponential backoff for repeated rate limits
- Don’t retry immediately after being rate limited