Merge pull request #16136 from jszczepkowski/hpa-exmv

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k8s-merge-robot 2015-10-23 19:23:54 -07:00
commit c599025685
5 changed files with 6 additions and 4 deletions

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@ -20,7 +20,7 @@ refer to the docs that go with that version.
<strong> <strong>
The latest 1.0.x release of this document can be found The latest 1.0.x release of this document can be found
[here](http://releases.k8s.io/release-1.0/examples/extensions/horizontal-pod-autoscaling/README.md). [here](http://releases.k8s.io/release-1.0/docs/user-guide/horizontal-pod-autoscaling/README.md).
Documentation for other releases can be found at Documentation for other releases can be found at
[releases.k8s.io](http://releases.k8s.io). [releases.k8s.io](http://releases.k8s.io).
@ -52,7 +52,7 @@ It defines [index.php](image/index.php) page which performs some CPU intensive c
First, we will start a replication controller running the image and expose it as an external service: First, we will start a replication controller running the image and expose it as an external service:
```console ```console
$ kubectl create -f examples/extensions/horizontal-pod-autoscaling/rc-php-apache.yaml $ kubectl create -f docs/user-guide/horizontal-pod-autoscaling/rc-php-apache.yaml
replicationcontrollers/php-apache replicationcontrollers/php-apache
$ kubectl expose rc php-apache --port=80 --type=LoadBalancer $ kubectl expose rc php-apache --port=80 --type=LoadBalancer
@ -125,7 +125,7 @@ See [here](../../../docs/proposals/horizontal-pod-autoscaler.md#autoscaling-algo
We will create the autoscaler by executing the following command: We will create the autoscaler by executing the following command:
```console ```console
$ kubectl create -f examples/extensions/horizontal-pod-autoscaling/hpa-php-apache.yaml $ kubectl create -f docs/user-guide/horizontal-pod-autoscaling/hpa-php-apache.yaml
horizontalpodautoscaler "php-apache" created horizontalpodautoscaler "php-apache" created
``` ```
@ -201,6 +201,8 @@ php-apache php-apache gcr.io/google_containers/hpa-example run=php-apach
As we see, in the presented case CPU utilization dropped to 0, and the number of replicas dropped to 1. As we see, in the presented case CPU utilization dropped to 0, and the number of replicas dropped to 1.
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