[jira] [Updated] (FLINK-27314) Enable active resource management (reactive scaling) in Flink Kubernetes Operator

["Fuyao Li (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-27314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Fuyao Li updated FLINK-27314:
-----------------------------
    Component/s: Kubernetes Operator

> Enable active resource management (reactive scaling) in Flink Kubernetes Operator
> ---------------------------------------------------------------------------------
>
>                 Key: FLINK-27314
>                 URL: https://issues.apache.org/jira/browse/FLINK-27314
>             Project: Flink
>          Issue Type: New Feature
>          Components: Kubernetes Operator
>            Reporter: Fuyao Li
>            Priority: Major
>
> Generally, this task is a low priority task now.
> Flink has some system level Flink metrics, Flink kubernetes operator can detect these metrics and rescale automatically based checkpoint(similar to standalone reactive mode) and rescale policy configured by users.
> The rescale behavior can be based on CPU utilization or memory utilization.
>  # Before rescaling, Flink operator should check whether the cluster has enough resources, if not, the rescaling will be aborted.
>  # We can create a addition field to support this feature. The fields below is just a rough suggestion.
> {code:java}
> reactiveScaling:
>   enabled: boolean
>   scaleMetric:  enum ["CPU", "MEM"]
>     scaleDownThreshold:
>     scaleUpThreshold:
>     minimumLimit:
>     maximumLimit:
>     increasePolicy: <increase/decrease exponentially or linearly..>
> <some other timeout configuration...>{code}
>  



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