Oh! yesterday it got merged. Apologies , I missed the recent commit @Gyula.
Thanks for the update On Thu, Feb 16, 2023 at 3:17 PM Gyula Fóra <gyula.f...@gmail.com> wrote: > Max recently moved the autoscaler logic in a separate submodule, did you > see that? > > > https://github.com/apache/flink-kubernetes-operator/commit/5bb8e9dc4dd29e10f3ba7c8ce7cefcdffbf92da4 > > Gyula > > On Thu, Feb 16, 2023 at 10:27 AM Samrat Deb <decordea...@gmail.com> wrote: > > > Hi , > > > > *Context:* > > Auto Scaling was introduced in Flink as part of FLIP-271[1]. > > It discusses one of the important aspects to provide a robust default > > scaling algorithm. > > a. Ensure scaling yields effective usage of assigned task slots. > > b. Ramp up in case of any backlog to ensure it gets processed in a > > timely manner > > c. Minimize the number of scaling decisions to prevent costly > rescale > > operation > > The flip intends to add an auto scaling framework based on 6 major > metrics > > and contains different types of threshold to trigger the scaling. > > > > Thread[2] discusses a different problem: why autoscaler is part of the > > operator instead of jobmanager at runtime. > > The Community decided to keep the autoscaling logic in the > > flink-kubernetes-operator. > > > > *Proposal: * > > In this discussion, I want to put forward a thought of extracting out the > > auto scaling logic into a new submodule in flink-kubernetes-operator > > repository[3], > > which will be independent of any resource manager/Operator. > > Currently the Autoscaling algorithm is very tightly coupled with the > > kubernetes API. > > This makes the autoscaling core algorithm not so easily extensible for > > different available resource managers like YARN, Mesos etc. > > A Separate autoscaling module inside the flink kubernetes operator will > > help other resource managers to leverage the autoscaling logic. > > > > [1] > > > https://cwiki.apache.org/confluence/display/FLINK/FLIP-271%3A+Autoscaling > > [2] https://lists.apache.org/thread/pvfb3fw99mj8r1x8zzyxgvk4dcppwssz > > [3] https://github.com/apache/flink-kubernetes-operator > > > > > > Bests, > > Samrat > > >
