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0x2b5c...8ceb.
Sep 04, 2025
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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:

  1. More sophisticated rate limiting strategies?
  2. Better caching approaches?
  3. Monitoring tools you'd recommend?

Thanks in advance for any insights!

  • Supra
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Supra connect multiple innovations into architecture that vertically integrates MultiVM smart contract support and native services: such as price feed oracles, on-chain randomness, cross-chain communications, and automation.

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