Best Practices for Handling 429 Rate-Limiting with @kubernetes/client-node

General Discussions
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Hi Kubernetes Community,

I’m using the @kubernetes/client-node library to interact with the Kubernetes API server and want to prepare for scenarios where I might encounter 429 Too Many Requests errors due to API rate-limiting.

I have a few questions about handling this scenario effectively:

  1. Does @kubernetes/client-node provide a built-in mechanism for retrying requests after receiving a 429 response?
  2. If the API server sends a Retry-After header, how should I implement logic to respect it when using this library?
  3. Are there any general best practices or patterns for managing rate limits when working with the Kubernetes API through @kubernetes/client-node?

I haven’t encountered this issue yet but want to ensure my implementation is robust enough to handle such cases. Any advice, examples, or pointers to relevant documentation would be very helpful.

Thanks in advance for your guidance!