Let’s assume the following scenario:
I have a cluster with 100 CPU cores and 100 Pods each having a request of 1 CPU.
If I schedule the 101st Pod if a request of 1 CPU this will no longer be schedulable, as per my understanding.
Now, further assume that I as cluster operator have observed that pods on average only consume .3 CPU in reality. It would be beneficial if scheduling further pods instances was possible.
Can I somehow apply a global correction factor that disregards CPU requests to some degree and allows me to overcommit the available resources?