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https://issues.apache.org/jira/browse/FLINK-34563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated FLINK-34563:
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Labels: pull-request-available (was: )
> Autoscaling decision improvement
> --------------------------------
>
> Key: FLINK-34563
> URL: https://issues.apache.org/jira/browse/FLINK-34563
> Project: Flink
> Issue Type: Improvement
> Components: Kubernetes Operator
> Affects Versions: kubernetes-operator-1.7.0
> Reporter: Yang LI
> Priority: Minor
> Labels: pull-request-available
>
> Hi, I'd like to propose a minor improvement based on my autoscaling
> experiments. The concept revolves around identifying the vertex with the
> highest level of parallelism and matching it to the maximum parallelism
> supported by our task manager.
> The primary goal of this enhancement is to prevent any task slots from
> remaining unused after the Flink autoscaler performs a rescaling operation.
> I've already tested this modification in a custom build of the operator,
> excluding the memory tuning feature. However, I believe it could be
> beneficial, especially in scenarios where the memory tuning feature is not
> enabled.
> And I have prepared this small pr also :)
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