github/kubernetes
1
0
Fork 0
mirror of https://github.com/k3s-io/kubernetes.git synced 2025-09-05 19:21:37 +00:00
Code Issues Projects Releases Wiki Activity

Fix docs

Browse Source
This commit is contained in:
Deyuan Deng
2015-03-28 21:35:34 -04:00
committed by Deyuan Deng
parent 8a7a127352
commit f35dc54d62
3 changed files with 6 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/replication-controller.md
View File

@@ -34,7 +34,7 @@ Similarly, deleting a replication controller does not affect the pods it created
The replication controller 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://github.com/GoogleCloudPlatform/kubernetes/issues/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 replication controller 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://github.com/GoogleCloudPlatform/kubernetes/issues/492)), which would change its `replicas` field. We will not add scheduling policies (e.g., [spreading](https://github.com/GoogleCloudPlatform/kubernetes/issues/367#issuecomment-48428019)) to replication controller. 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 elsehwere. We even plan to factor out the mechanism for bulk pod creation ([#170](https://github.com/GoogleCloudPlatform/kubernetes/issues/170)).
The replication controller 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://github.com/GoogleCloudPlatform/kubernetes/issues/492)), which would change its `replicas` field. We will not add scheduling policies (e.g., [spreading](https://github.com/GoogleCloudPlatform/kubernetes/issues/367#issuecomment-48428019)) to replication controller. 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://github.com/GoogleCloudPlatform/kubernetes/issues/170)).
The replication controller is intended to be a composable building-block primitive. We expect higher-level APIs and/or tools to be built on top of it and other complementary primitives for user convenience in the future. The "macro" operations currently supported by kubectl (run-container, stop, resize, rollingupdate) are proof-of-concept examples of this. For instance, we could imagine something like [Asgard](http://techblog.netflix.com/2012/06/asgard-web-based-cloud-management-and.html) managing replication controllers, auto-scalers, services, scheduling policies, canaries, etc.