I have a few kubefiles defining Kubernetes services and deployments. When I create a cluster of 4 nodes on GCP (never changes), all the small kube-system pods are spread across the nodes instead of filling one at a time. Same with the pods created when I apply my kubefiles.
The problem is sometimes I have plenty of available total CPU for a deployment, but its pods can't be provisioned because no single node has that much free. It's fragmented, and it would obviously fit if the kube-system pods all went into one node instead of being spread out.
I can avoid problems by using bigger/fewer nodes, but I feel like I shouldn't have to do that. I'd also rather not deal with pod affinity settings for such a basic testing setup. Is there a solution to this, maybe a setting to have it prefer filling nodes in order? Like using an already opened carton of milk instead of opening a fresh one each time.
Haven't tested this, but the order I apply files in probably matters, meaning applying the biggest CPU users first could help. But that seems like a hack.
I know there's some discussion on rescheduling that gets complicated because they're dealing with a dynamic node pool, and it seems like they don't have it ready, so I'm guessing there's no way to have it rearrange my pods dynamically.
