Predictive autoscaling on K8s
These are presumably proprietary tools for EC2 and GCE respectively. The need for predictive VM autoscaling is pretty strong for Virtual Machines since provisioning time can be measured in the 10's of minutes depending on the configuration.
Conversely, application spin-up time in Kubernetes is typically measured in seconds. Predictive scaling for the Kubernetes HPA might have limited practical benefit.
Now using cloud provider predictive autoscaling to scale out the VMs running a Kubernetes cluster based upon ML could be pretty interesting.