Fuyao Li created FLINK-27314:
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Summary: 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
Reporter: Fuyao Li
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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