How is this the schedulers fault? Is this not just your resource requests being wildly off? Mapping directly to a "fly machine" just means your "fly machine" utilization will be low
Even if my Pods were perfectly sized, a large percent of the VMs running the Pod was underutilized because the Pods were poorly distributed across the Nodes
Someone else linked GKE Autopilot which manages all of that for you. So if you’re using GKE I don’t see much improvement, since you lose out on k8s features like persistent volumes and DaemonSets.