Could you elaborate? What is “cloud pro user autoscaler” are you referring to the managed version of ClearML vs self-hosted? The ClearML-agent mentions two “flavors” of k8s integration as I understand it: a daemon ClearML-agent to spin up up sibling containers vs direct mapping to k8s jobs. Does the ClearML-agent helm chart allow you to chose or is only set up for the k8s glue method? I’ve seen some people have some troubles with the k8 glue method, so I was going to try and have a single daemon agent inside k8s for the services queue, but then use the autoscaler.py to spin up external EC2 instances to run the actually jobs. Is that a valid approach?