autoscaler
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kubernetes
Feature Request: Allow individual values of scale-down-utilization-threshold for CPU and memory
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.
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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@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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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.
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