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Support Autoscaling replicatedJob #570
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cc: @andreyvelich @ahg-g |
/kind feature |
Thanks @tenzen-y, support for scale subresource was part of the original JobSet design https://bit.ly/k8s-jobset but we haven't been able to prioritize it yet. We will likely need other developers to do the implementation here, since I am currently busy with other work. |
Yeah, actually during JobSet design in https://bit.ly/k8s-jobset, I mentioned the scale subresource :) |
@tenzen-y it would be helpful if you or others could take this on, a short KEP would be great so we can align on the API changes to JobSet |
Yeah, definitely should create a small KEP. Once I find the time, I will try to assign this issue to me. |
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What would you like to be added:
I would like to support scale subresource and the metrics corresponding to HPA resource like this:
Why is this needed:
In the machine learning field, we often support elastically scaling worker nodes such as PyTorch Elastic.
Here is Kubeflow TrainingOperator Example: https://github.com/kubeflow/training-operator/blob/e31d11faa9f6ce5111b60c01079d39295589e0ef/pkg/apis/kubeflow.org/v1/pytorch_types.go#L98-L135
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