SEZ9 commented on issue #11663:
URL: https://github.com/apache/seatunnel/issues/11663#issuecomment-5215603453

   This is a substantial design effort — could you draft a design doc 
(SEIP-style) covering architecture (where the autoscaler loop runs, e.g., 
master node), metric collection, decision policy, and configuration surface? 
That would help move the discussion forward.
   
   Please clarify the initial target environment: will the first iteration only 
emit scaling recommendations (metrics/REST) for external actuators like 
Kubernetes HPA/operator, or also actively provision/terminate workers? 
Actuation differs significantly between K8s and bare-metal/standalone 
deployments.
   
   Scale-in safety needs careful design: how will the autoscaler drain a worker 
without disrupting running jobs? Please describe interaction with 
checkpointing/task restoration, and whether slot decommissioning (blocking new 
allocations on a draining worker) will be a prerequisite.
   
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