Merge pull request #24415 from sftim/20201007_remove_cluster_management_task

Remove cluster management task
This commit is contained in:
Kubernetes Prow Robot
2020-11-20 06:52:51 -08:00
committed by GitHub
11 changed files with 140 additions and 241 deletions
@@ -92,9 +92,8 @@ Controllers that interact with external state find their desired state from
the API server, then communicate directly with an external system to bring
the current state closer in line.
(There actually is a controller that horizontally scales the
nodes in your cluster. See
[Cluster autoscaling](/docs/tasks/administer-cluster/cluster-management/#cluster-autoscaling)).
(There actually is a [controller](https://github.com/kubernetes/autoscaler/)
that horizontally scales the nodes in your cluster.)
The important point here is that the controller makes some change to bring about
your desired state, and then reports current state back to your cluster's API server.
@@ -338,5 +338,4 @@ for more information.
* Read the [Node](https://git.k8s.io/community/contributors/design-proposals/architecture/architecture.md#the-kubernetes-node)
section of the architecture design document.
* Read about [taints and tolerations](/docs/concepts/scheduling-eviction/taint-and-toleration/).
* Read about [cluster autoscaling](/docs/tasks/administer-cluster/cluster-management/#cluster-autoscaling).
@@ -39,8 +39,6 @@ Before choosing a guide, here are some considerations:
## Managing a cluster
* [Managing a cluster](/docs/tasks/administer-cluster/cluster-management/) describes several topics related to the lifecycle of a cluster: creating a new cluster, upgrading your cluster's master and worker nodes, performing node maintenance (e.g. kernel upgrades), and upgrading the Kubernetes API version of a running cluster.
* Learn how to [manage nodes](/docs/concepts/architecture/nodes/).
* Learn how to set up and manage the [resource quota](/docs/concepts/policy/resource-quotas/) for shared clusters.
@@ -321,9 +321,7 @@ Pod may be created that fits on the same Node. In this case, the scheduler will
schedule the higher priority Pod instead of the preemptor.
This is expected behavior: the Pod with the higher priority should take the place
of a Pod with a lower priority. Other controller actions, such as
[cluster autoscaling](/docs/tasks/administer-cluster/cluster-management/#cluster-autoscaling),
may eventually provide capacity to schedule the pending Pods.
of a Pod with a lower priority.
### Higher priority Pods are preempted before lower priority pods