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When I deploy to Amazon ECS the upper limit of the resource geometry of my service is checked and if it exceeds that upper limit available of the underlying clu
by nickbauman 8y ago
When I deploy to Amazon ECS the upper limit of the resource geometry of my service is checked and if it exceeds that upper limit available of the underlying cluster, it refuses to deploy. I understand k8s has similar features. It reads like Azure doesn't have their k8s configured correctly.
- markbnj 8y agoIf the containers in a pod request more ram than is available on any node in the cluster then the pod will fail to schedule and will remain in pending state, which can be seen in the events for the controller (replicaset, daemonset, etc) using, for example `kubectl describe replicaset myreplicaset.` We've gotten ourselves into this situation a few times on GKE. It's easily resolvable by tuning the resource requests or scaling the nodepool and has no adverse effect on the operation of the cluster.