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Remove k8s version references for MetricsServer in resource-metrics-pipeline. (#17028)

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This commit is contained in:
Mitesh Jain
2019-10-23 20:48:16 +05:30
committed by Kubernetes Prow Robot
parent ff1f0c7398
commit 9b33cfd360
1 changed files with 3 additions and 5 deletions
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content/en/docs/tasks/debug-application-cluster/resource-metrics-pipeline.md
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@@ -8,7 +8,7 @@ content_template: templates/concept
{{% capture overview %}}
Starting from Kubernetes 1.8, resource usage metrics, such as container CPU and memory usage,
Resource usage metrics, such as container CPU and memory usage,
are available in Kubernetes through the Metrics API. These metrics can be either accessed directly
by user, for example by using `kubectl top` command, or used by a controller in the cluster, e.g.
Horizontal Pod Autoscaler, to make decisions.
@@ -40,16 +40,14 @@ The API requires metrics server to be deployed in the cluster. Otherwise it will
## Metrics Server
[Metrics Server](https://github.com/kubernetes-incubator/metrics-server) is a cluster-wide aggregator of resource usage data.
Starting from Kubernetes 1.8 it's deployed by default in clusters created by `kube-up.sh` script
It is deployed by default in clusters created by `kube-up.sh` script
as a Deployment object. If you use a different Kubernetes setup mechanism you can deploy it using the provided
[deployment yamls](https://github.com/kubernetes-incubator/metrics-server/tree/master/deploy).
It's supported in Kubernetes 1.7+ (see details below).
Metric server collects metrics from the Summary API, exposed by [Kubelet](/docs/admin/kubelet/) on each node.
Metrics Server registered in the main API server through
[Kubernetes aggregator](/docs/concepts/api-extension/apiserver-aggregation/),
which was introduced in Kubernetes 1.7.
[Kubernetes aggregator](/docs/concepts/api-extension/apiserver-aggregation/).
Learn more about the metrics server in [the design doc](https://github.com/kubernetes/community/blob/master/contributors/design-proposals/instrumentation/metrics-server.md).