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https://issues.apache.org/jira/browse/FLINK-31866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maximilian Michels resolved FLINK-31866.
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Resolution: Fixed
> Autoscaler metric trimming reduces the number of metric observations on
> recovery
> --------------------------------------------------------------------------------
>
> Key: FLINK-31866
> URL: https://issues.apache.org/jira/browse/FLINK-31866
> Project: Flink
> Issue Type: Bug
> Components: Autoscaler, Kubernetes Operator
> Reporter: Maximilian Michels
> Assignee: Maximilian Michels
> Priority: Major
> Labels: pull-request-available
> Fix For: kubernetes-operator-1.5.0
>
>
> The autoscaler uses a ConfigMap to store past metric observations which is
> used to re-initialize the autoscaler state in case of failures or upgrades.
> Whenever trimming of the ConfigMap occurs, we need to make sure we also
> update the timestamp for the start of the metric collection, so any removed
> observations can be compensated with by collecting new ones. If we don't do
> this, the metric window will effectively shrink due to removing observations.
> This can lead to triggering scaling decisions when the operator gets
> redeployed due to the removed items.
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