This acts like one app is the only app running on device, which in the case of k8s, clearly isn't the case.

If you want to get scheduled on a node for execution after a node failure, your resource requests need to fit / pack somewhere.

The more accurately modeled application limits are, the better cluster packing gets.

This impacts cost.