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Feature Request: Allow individual values of scale-down-utilization-threshold for CPU and memory #1317
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Sounds reasonable to me, with a caveat that we already have too many parameters which are hard to tweak. @MaciekPytel, WDYT? |
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. |
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/remove-lifecycle stale |
Issues go stale after 90d of inactivity. If this issue is safe to close now please do so with Send feedback to sig-testing, kubernetes/test-infra and/or fejta. |
/remove-lifecycle stale |
Issues go stale after 90d of inactivity. If this issue is safe to close now please do so with Send feedback to sig-testing, kubernetes/test-infra and/or fejta. |
/remove-lifecycle stale |
Issues go stale after 90d of inactivity. If this issue is safe to close now please do so with Send feedback to sig-testing, kubernetes/test-infra and/or fejta. |
/remove-lifecycle stale |
Issues go stale after 90d of inactivity. If this issue is safe to close now please do so with Send feedback to sig-testing, kubernetes/test-infra and/or fejta. |
/remove-lifecycle stale |
Issues go stale after 90d of inactivity. If this issue is safe to close now please do so with Send feedback to sig-testing, kubernetes/test-infra and/or fejta. |
/remove-lifecycle stale |
@aleksandra-malinowska may I kindly ask if you see a chance for this feature to be added? |
Issues go stale after 90d of inactivity. If this issue is safe to close now please do so with Send feedback to sig-testing, kubernetes/test-infra and/or fejta. |
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@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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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.
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