Hi Team, need your help with this. I am deploying ray on Kubernetes running out of Docker Desktop. I have followed example mentioned at Deploying Ray Serve — Ray v2.0.0.dev0 Here is error logged while ray submit. ❯ ray submit example-full.yaml deploy.py 2022-01-06 18:07:22,800 INFO util.py:282 --…

Hi @lihost , this is a known issue that’s being tracked here . It seems to be an issue with local K8s setups because another user reported it on minikube.

Hi @shrekris , thank you for the updates. While this is being resolved, would you suggest any workaround to this so that we can test our deployments before moving to prod?

Yes, I have put in place the work-around - Downgrading Docker Desktop to 4.2.0

Error computing CPU usage of Ray Kubernetes pod - Docker Desktop

Ray Serve

simon-mo January 13, 2022, 12:41am 4

Turns out there’s another thread solving the same error: Logging error computing CPU usage of Ray Kubernetes Please take a look there!

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Error computing CPU usage of Ray Kubernetes pod - Docker Desktop

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