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Best practices for handling API rate limits in production?
I'm working on a web application that makes frequent API calls to a third-party service, and I'm starting to hit rate limits during peak usage times.
Current Situation:
- ~500 requests per minute during busy periods
- Getting 429 errors about 10-15% of the time
- Using a simple retry mechanism with exponential backoff
What I've Tried:
- Implemented basic caching for repeated requests
- Added request queuing with delays
- Set up monitoring for rate limit headers
The retry logic helps, but I'm wondering if there are better architectural patterns I should consider. Has anyone dealt with similar issues at scale?
Any suggestions for:
- More sophisticated rate limiting strategies?
- Better caching approaches?
- Monitoring tools you'd recommend?
Thanks in advance for any insights!
- Supra
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1Current Situation: ~500 requests per minute during busy periods Getting 429 errors about 10-15% of the time Using a simple retry mechanism with exponential backoff
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