Best practices for handling API rate limits and implementing retry mechanisms

I’m dealing with API rate limiting in my application and looking for established patterns to handle this effectively. Currently, my retry mechanism implementation feels messy and difficult to maintain.

Questions:

  1. What are the recommended best practices for handling API rate limits in production applications?
  2. How should retry mechanisms be implemented to handle rate limit responses efficiently?
  3. Are there any well-tested libraries or patterns that handle this elegantly?

Current approach: I’m currently implementing my own retry logic, but it’s becoming increasingly complex and hard to maintain.

Hello there @ethanolle1,

We have our article about rate limits here :smile:

We do not have a specific recommendation on how to handle the API limits other than what is exposed there.

You can avoid hitting the limit using a mechanism that checks your available quota. Then you can use your own retry mechanism for when you do hit the limit.

We do not have specific libraries recommended by monday’s team, but maybe some other user has a suggestion :crossed_fingers:

Cheers,
Matias