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kubernetes / autoscaler

Autoscaling components for Kubernetes
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Feature Request: Allow individual values of scale-down-utilization-threshold for CPU and memory #1317

Closed frittentheke closed 8 months ago

frittentheke commented 6 years ago

When adjusting scale down limits it's far less risky to go full on Mad Max on the CPU as a resource than it is when talking about memory: When you run out of CPU everything becomes slower, when running out of memory things begin to crash.

Currently the cluster-autoscaler does not allow individual values for CPU and memory, scale-down-utilization-threshold is always affecting both using the one with the higher value to determine if it can scale down more nodes. I suggest to allow for both resources to be configured to a different level, i.e. to allow a CPU headroom of only 10% while still only scaling down when there is more than 50% for memory still left.

This would not be a breaking change, nobody is forced to move away from one value for both. I simply believe some workloads differ greatly in their required headroom of CPU and memory. A more flexible configuration allows to run those clusters more efficiently in regards to cluster scaling.

aleksandra-malinowska commented 6 years ago

Sounds reasonable to me, with a caveat that we already have too many parameters which are hard to tweak. @MaciekPytel, WDYT?

losipiuk commented 6 years ago

Sounds reasonable to me.

If you are preparing a PR please just leave old configuration parameter which would serve as default value for the cpu/memory specific ones.

fejta-bot commented 5 years ago

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frittentheke commented 5 years ago

/remove-lifecycle stale

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legal90 commented 5 years ago

/remove-lifecycle stale

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frittentheke commented 5 years ago

/remove-lifecycle stale

fejta-bot commented 5 years ago

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frittentheke commented 5 years ago

/remove-lifecycle stale

fejta-bot commented 4 years ago

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frittentheke commented 4 years ago

/remove-lifecycle stale

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frittentheke commented 4 years ago

/remove-lifecycle stale

frittentheke commented 4 years ago

@aleksandra-malinowska may I kindly ask if you see a chance for this feature to be added? If not by yourself - would you accept a PR then?

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frittentheke commented 4 years ago

/remove-lifecycle stale

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frittentheke commented 4 years ago

/remove-lifecycle stale

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MaciekPytel commented 3 years ago

This is partly implemented by https://github.com/kubernetes/autoscaler/pull/3789. What will remain after it is merged will be adding integration for cloud providers.

frittentheke commented 3 years ago

/remove-lifecycle stale

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frittentheke commented 3 years ago

/remove-lifecycle stale

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frittentheke commented 3 years ago

/remove-lifecycle stale

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/lifecycle stale

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/lifecycle rotten

frittentheke commented 3 years ago

/remove-lifecycle rotten

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/lifecycle stale

frittentheke commented 2 years ago

/remove-lifecycle stale

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/lifecycle stale

frittentheke commented 2 years ago

/remove-lifecycle stale

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frittentheke commented 2 years ago

/remove-lifecycle stale

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frittentheke commented 2 years ago

/remove-lifecycle stale

frittentheke commented 2 years ago

@losipiuk @aleksandra-malinowska @MaciekPytel do you see any chance this feature could be discussed again and how this could be implemented without cluttering the already configuration with more and more settings.

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/lifecycle stale

frittentheke commented 1 year ago

/remove-lifecycle stale

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frittentheke commented 1 year ago

/remove-lifecycle stale

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/lifecycle rotten

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/close not-planned

k8s-ci-robot commented 8 months ago

@k8s-triage-robot: Closing this issue, marking it as "Not Planned".

In response to [this](https://github.com/kubernetes/autoscaler/issues/1317#issuecomment-2009782814): >The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs. > >This bot triages issues according to the following rules: >- After 90d of inactivity, `lifecycle/stale` is applied >- After 30d of inactivity since `lifecycle/stale` was applied, `lifecycle/rotten` is applied >- After 30d of inactivity since `lifecycle/rotten` was applied, the issue is closed > >You can: >- Reopen this issue with `/reopen` >- Mark this issue as fresh with `/remove-lifecycle rotten` >- Offer to help out with [Issue Triage][1] > >Please send feedback to sig-contributor-experience at [kubernetes/community](https://github.com/kubernetes/community). > >/close not-planned > >[1]: https://www.kubernetes.dev/docs/guide/issue-triage/ Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.