Hi, I have a few questions on in-place rescaling support in Flink k8s operator.
1. Seems it is in the development roadmap <https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/docs/development/roadmap/>. Is there a plan for developing it? Any discussion threads that I can follow? 2. I noticed that the standalone autoscaler <https://github.com/apache/flink-kubernetes-operator/blob/44dd679a5952569a7ae36395202fdf609130fdef/flink-autoscaler-standalone/src/main/java/org/apache/flink/autoscaler/standalone/realizer/RescaleApiScalingRealizer.java#L117> has the logic to trigger in-place rescaling through rescale api. But it does not check if the Flink cluster has some task slots resources to accommodate that request. Is that right? In other words, if it asks for more parallelism than what the cluster current task slots can accommodate, the rescale would not happen? 3. To automatically increase task slots resources in the cluster to fulfill the in-place rescaling request who asks for more parallelism than what the current available task slots, I would assume that Flink k8s operator needs a way to somehow add more task manager Pods without invoking the full job restart. Is that something we already support or to be developed? Thank you! Jiazhou
