I am learning about using Machine Learning for provisioning proactive resources on the Kubernetes and I have found some of the interesting articles about it on the internet(for instance for Thoth or Microscaler). I have also read about predictive autoscaling in AWS and GCP however only for VM's, not to use in the K8s clusters.
However I would like to understand more in-depth about the above solutions - how do they work internally and what is the possibility of moving that solutions to the K8s. Do You know where can I find informations about it? Or if that is even possible to find those information or they are hidden internally in those companies? Do You have any other scientific articles or solutions which are now available?