Hi Flink team, This is Lijuan. I am working on our flink job to realize autoscaling. We are currently using flink version of 1.16.1, and using flink operator version of 1.5.0. I have some questions need to confirm with you.
1 - It seems for flink job using flink operator to realize autoscaling, the only option to realize autoscaling is to enable the Autoscaler feature, and KEDA won’t work, right? 2 - I noticed from the document that we need to upgrade to flink version of 1.17 to use Autoscaler. But I also noticed that the updated version for flink operator is 1.7 now. Shall we upgrade from 1.5.0 to 1.7 to enable Autoscaler? 3 – I have done a lot of search, and also read the Autoscaler Algorithm page. But I am still not very sure about the list of metrics observed automatically. * Will it include CPU load, memory, throughput and kafka consumer lag? Could you please provide the whole list of monitored metrics? - Is this config related to kafka consumer lag? kubernetes.operator.job.autoscaler.backlog-processing.lag-threshold Thanks a lot for the help! Best, Lijuan
