Merge pull request #31668 from Shubham82/fix-typo
Fix typo in Horizontal Pod Autoscaling.pull/31112/head
commit
108bae87c2
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@ -88,7 +88,7 @@ or the custom metrics API (for all other metrics).
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The common use for HorizontalPodAutoscaler is to configure it to fetch metrics from
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The common use for HorizontalPodAutoscaler is to configure it to fetch metrics from
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{{< glossary_tooltip text="aggregated APIs" term_id="aggregation-layer" >}}
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{{< glossary_tooltip text="aggregated APIs" term_id="aggregation-layer" >}}
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(`metrics.k8s.io`, `custom.metrics.k8s.io`, or `external.metrics.k8s.io`). The `metrics.k8s.io` API is
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(`metrics.k8s.io`, `custom.metrics.k8s.io`, or `external.metrics.k8s.io`). The `metrics.k8s.io` API is
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usually provided by an add on named Metrics Server, which needs to be launched separately.
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usually provided by an add-on named Metrics Server, which needs to be launched separately.
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For more information about resource metrics, see
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For more information about resource metrics, see
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[Metrics Server](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/#metrics-server).
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[Metrics Server](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/#metrics-server).
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@ -329,7 +329,7 @@ APIs, cluster administrators must ensure that:
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* The corresponding APIs are registered:
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* The corresponding APIs are registered:
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* For resource metrics, this is the `metrics.k8s.io` API, generally provided by [metrics-server](https://github.com/kubernetes-sigs/metrics-server).
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* For resource metrics, this is the `metrics.k8s.io` API, generally provided by [metrics-server](https://github.com/kubernetes-sigs/metrics-server).
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It can be launched as a cluster addon.
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It can be launched as a cluster add-on.
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* For custom metrics, this is the `custom.metrics.k8s.io` API. It's provided by "adapter" API servers provided by metrics solution vendors.
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* For custom metrics, this is the `custom.metrics.k8s.io` API. It's provided by "adapter" API servers provided by metrics solution vendors.
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Check with your metrics pipeline to see if there is a Kubernetes metrics adapter available.
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Check with your metrics pipeline to see if there is a Kubernetes metrics adapter available.
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@ -514,7 +514,7 @@ Finally, you can delete an autoscaler using `kubectl delete hpa`.
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In addition, there is a special `kubectl autoscale` command for creating a HorizontalPodAutoscaler object.
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In addition, there is a special `kubectl autoscale` command for creating a HorizontalPodAutoscaler object.
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For instance, executing `kubectl autoscale rs foo --min=2 --max=5 --cpu-percent=80`
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For instance, executing `kubectl autoscale rs foo --min=2 --max=5 --cpu-percent=80`
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will create an autoscaler for replication set *foo*, with target CPU utilization set to `80%`
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will create an autoscaler for ReplicaSet *foo*, with target CPU utilization set to `80%`
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and the number of replicas between 2 and 5.
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and the number of replicas between 2 and 5.
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## Implicit maintenance-mode deactivation
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## Implicit maintenance-mode deactivation
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@ -538,7 +538,7 @@ desired and could be troublesome when an HPA is active.
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Keep in mind that the removal of `spec.replicas` may incur a one-time
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Keep in mind that the removal of `spec.replicas` may incur a one-time
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degradation of Pod counts as the default value of this key is 1 (reference
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degradation of Pod counts as the default value of this key is 1 (reference
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[Deployment Replicas](/docs/concepts/workloads/controllers/deployment#replicas).
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[Deployment Replicas](/docs/concepts/workloads/controllers/deployment#replicas)).
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Upon the update, all Pods except 1 will begin their termination procedures. Any
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Upon the update, all Pods except 1 will begin their termination procedures. Any
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deployment application afterwards will behave as normal and respect a rolling
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deployment application afterwards will behave as normal and respect a rolling
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update configuration as desired. You can avoid this degradation by choosing one of the following two
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update configuration as desired. You can avoid this degradation by choosing one of the following two
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