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clean up turnkey cloud solutions

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This commit is contained in:
Karen Bradshaw
2020-10-28 11:19:25 -04:00
parent a31ed022c1
commit dd618cff39
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content/en/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough.md
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@@ -16,34 +16,32 @@ in a replication controller, deployment, replica set or stateful set based on ob
(or, with beta support, on some other, application-provided metrics).
This document walks you through an example of enabling Horizontal Pod Autoscaler for the php-apache server.
For more information on how Horizontal Pod Autoscaler behaves, see the
For more information on how Horizontal Pod Autoscaler behaves, see the
[Horizontal Pod Autoscaler user guide](/docs/tasks/run-application/horizontal-pod-autoscale/).
## {{% heading "prerequisites" %}}
This example requires a running Kubernetes cluster and kubectl, version 1.2 or later.
[metrics-server](https://github.com/kubernetes-sigs/metrics-server) monitoring needs to be deployed in the cluster
to provide metrics via the resource metrics API, as Horizontal Pod Autoscaler uses this API to collect metrics. The instructions for deploying this are on the GitHub repository of [metrics-server](https://github.com/kubernetes-sigs/metrics-server), if you followed [getting started on GCE guide](/docs/setup/production-environment/turnkey/gce/),
metrics-server monitoring will be turned-on by default.
[Metrics server](https://github.com/kubernetes-sigs/metrics-server) monitoring needs to be deployed
in the cluster to provide metrics through the [Metrics API](https://github.com/kubernetes/metrics).
Horizontal Pod Autoscaler uses this API to collect metrics. To learn how to deploy the metrics-server,
see the [metrics-server documentation](https://github.com/kubernetes-sigs/metrics-server#deployment).
To specify multiple resource metrics for a Horizontal Pod Autoscaler, you must have a Kubernetes cluster
and kubectl at version 1.6 or later. Furthermore, in order to make use of custom metrics, your cluster
must be able to communicate with the API server providing the custom metrics API. Finally, to use metrics
not related to any Kubernetes object you must have a Kubernetes cluster at version 1.10 or later, and
you must be able to communicate with the API server that provides the external metrics API.
To specify multiple resource metrics for a Horizontal Pod Autoscaler, you must have a
Kubernetes cluster and kubectl at version 1.6 or later. To make use of custom metrics, your cluster
must be able to communicate with the API server providing the custom Metrics API.
Finally, to use metrics not related to any Kubernetes object you must have a
Kubernetes cluster at version 1.10 or later, and you must be able to communicate
with the API server that provides the external Metrics API.
See the [Horizontal Pod Autoscaler user guide](/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-custom-metrics) for more details.
<!-- steps -->
## Run & expose php-apache server
## Run and expose php-apache server
To demonstrate Horizontal Pod Autoscaler we will use a custom docker image based on the php-apache image.
The Dockerfile has the following content:
To demonstrate Horizontal Pod Autoscaler we will use a custom docker image based on the php-apache image. The Dockerfile has the following content:
```
```dockerfile
FROM php:5-apache
COPY index.php /var/www/html/index.php
RUN chmod a+rx index.php
@@ -51,7 +49,7 @@ RUN chmod a+rx index.php
It defines an index.php page which performs some CPU intensive computations:
```
```php
<?php
$x = 0.0001;
for ($i = 0; $i <= 1000000; $i++) {
@@ -66,11 +64,12 @@ using the following configuration:
{{< codenew file="application/php-apache.yaml" >}}
Run the following command:
```shell
kubectl apply -f https://k8s.io/examples/application/php-apache.yaml
```
```
deployment.apps/php-apache created
service/php-apache created
@@ -90,6 +89,7 @@ See [here](/docs/tasks/run-application/horizontal-pod-autoscale/#algorithm-detai
```shell
kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10
```
```
horizontalpodautoscaler.autoscaling/php-apache autoscaled
```
@@ -99,10 +99,10 @@ We may check the current status of autoscaler by running:
```shell
kubectl get hpa
```
```
NAME REFERENCE TARGET MINPODS MAXPODS REPLICAS AGE
php-apache Deployment/php-apache/scale 0% / 50% 1 10 1 18s
```
Please note that the current CPU consumption is 0% as we are not sending any requests to the server
@@ -122,10 +122,10 @@ Within a minute or so, we should see the higher CPU load by executing:
```shell
kubectl get hpa
```
```
NAME REFERENCE TARGET MINPODS MAXPODS REPLICAS AGE
php-apache Deployment/php-apache/scale 305% / 50% 1 10 1 3m
```
Here, CPU consumption has increased to 305% of the request.
@@ -134,6 +134,7 @@ As a result, the deployment was resized to 7 replicas:
```shell
kubectl get deployment php-apache
```
```
NAME READY UP-TO-DATE AVAILABLE AGE
php-apache 7/7 7 7 19m
@@ -157,6 +158,7 @@ Then we will verify the result state (after a minute or so):
```shell
kubectl get hpa
```
```
NAME REFERENCE TARGET MINPODS MAXPODS REPLICAS AGE
php-apache Deployment/php-apache/scale 0% / 50% 1 10 1 11m
@@ -165,6 +167,7 @@ php-apache Deployment/php-apache/scale 0% / 50% 1 10 1
```shell
kubectl get deployment php-apache
```
```
NAME READY UP-TO-DATE AVAILABLE AGE
php-apache 1/1 1 1 27m
@@ -176,8 +179,6 @@ Here CPU utilization dropped to 0, and so HPA autoscaled the number of replicas
Autoscaling the replicas may take a few minutes.
{{< /note >}}
<!-- discussion -->
## Autoscaling on multiple metrics and custom metrics
@@ -419,7 +420,8 @@ we can use `kubectl describe hpa`:
```shell
kubectl describe hpa cm-test
```
```shell
```
Name: cm-test
Namespace: prom
Labels: <none>
@@ -474,8 +476,7 @@ We will create the autoscaler by executing the following command:
```shell
kubectl create -f https://k8s.io/examples/application/hpa/php-apache.yaml
```
```
horizontalpodautoscaler.autoscaling/php-apache created
```