whentimeslows/website
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

clean up use of word: simply

Browse Source
This commit is contained in:
Karen Bradshaw
2021-02-04 16:41:29 -05:00
parent 39edec0aac
commit 3fd65482e8
38 changed files with 283 additions and 218 deletions
Download Patch File Download Diff File Expand all files Collapse all files
content/en/docs/concepts/workloads/controllers/replicationcontroller.md
+4 -4
View File
@@ -180,16 +180,16 @@ delete`](/docs/reference/generated/kubectl/kubectl-commands#delete). Kubectl wi
for it to delete each pod before deleting the ReplicationController itself. If this kubectl
command is interrupted, it can be restarted.
When using the REST API or go client library, you need to do the steps explicitly (scale replicas to
When using the REST API or Go client library, you need to do the steps explicitly (scale replicas to
0, wait for pod deletions, then delete the ReplicationController).
### Deleting just a ReplicationController
### Deleting only a ReplicationController
You can delete a ReplicationController without affecting any of its pods.
Using kubectl, specify the `--cascade=false` option to [`kubectl delete`](/docs/reference/generated/kubectl/kubectl-commands#delete).
When using the REST API or go client library, simply delete the ReplicationController object.
When using the REST API or Go client library, you can delete the ReplicationController object.
Once the original is deleted, you can create a new ReplicationController to replace it. As long
as the old and new `.spec.selector` are the same, then the new one will adopt the old pods.
@@ -240,7 +240,7 @@ Pods created by a ReplicationController are intended to be fungible and semantic
## Responsibilities of the ReplicationController
The ReplicationController simply ensures that the desired number of pods matches its label selector and are operational. Currently, only terminated pods are excluded from its count. In the future, [readiness](https://issue.k8s.io/620) and other information available from the system may be taken into account, we may add more controls over the replacement policy, and we plan to emit events that could be used by external clients to implement arbitrarily sophisticated replacement and/or scale-down policies.
The ReplicationController ensures that the desired number of pods matches its label selector and are operational. Currently, only terminated pods are excluded from its count. In the future, [readiness](https://issue.k8s.io/620) and other information available from the system may be taken into account, we may add more controls over the replacement policy, and we plan to emit events that could be used by external clients to implement arbitrarily sophisticated replacement and/or scale-down policies.
The ReplicationController is forever constrained to this narrow responsibility. It itself will not perform readiness nor liveness probes. Rather than performing auto-scaling, it is intended to be controlled by an external auto-scaler (as discussed in [#492](https://issue.k8s.io/492)), which would change its `replicas` field. We will not add scheduling policies (for example, [spreading](https://issue.k8s.io/367#issuecomment-48428019)) to the ReplicationController. Nor should it verify that the pods controlled match the currently specified template, as that would obstruct auto-sizing and other automated processes. Similarly, completion deadlines, ordering dependencies, configuration expansion, and other features belong elsewhere. We even plan to factor out the mechanism for bulk pod creation ([#170](https://issue.k8s.io/170)).