Update docs with HPA v2 stable.
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Joe Burnett
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@@ -62,7 +62,7 @@ or the custom metrics API (for all other metrics).
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* For object metrics and external metrics, a single metric is fetched, which describes
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the object in question. This metric is compared to the target
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value, to produce a ratio as above. In the `autoscaling/v2beta2` API
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value, to produce a ratio as above. In the `autoscaling/v2` API
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version, this value can optionally be divided by the number of Pods before the
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comparison is made.
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@@ -161,18 +161,17 @@ fluctuating metric values.
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## API Object
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The Horizontal Pod Autoscaler is an API resource in the Kubernetes `autoscaling` API group.
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The current stable version, which only includes support for CPU autoscaling,
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can be found in the `autoscaling/v1` API version.
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The beta version, which includes support for scaling on memory and custom metrics,
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can be found in `autoscaling/v2beta2`. The new fields introduced in `autoscaling/v2beta2`
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are preserved as annotations when working with `autoscaling/v1`.
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The Horizontal Pod Autoscaler is an API resource in the Kubernetes
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`autoscaling` API group. The current stable version can be found in
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the `autoscaling/v2` API version which includes support for scaling on
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memory and custom metrics. The new fields introduced in
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`autoscaling/v2` are preserved as annotations when working with
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`autoscaling/v1`.
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When you create a HorizontalPodAutoscaler API object, make sure the name specified is a valid
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[DNS subdomain name](/docs/concepts/overview/working-with-objects/names#dns-subdomain-names).
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More details about the API object can be found at
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[HorizontalPodAutoscaler Object](/docs/reference/generated/kubernetes-api/{{< param "version" >}}/#horizontalpodautoscaler-v1-autoscaling).
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[HorizontalPodAutoscaler Object](/docs/reference/generated/kubernetes-api/{{< param "version" >}}/#horizontalpodautoscaler-v2-autoscaling).
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## Support for Horizontal Pod Autoscaler in kubectl
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@@ -299,7 +298,7 @@ the old container name from the HPA specification.
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## Support for multiple metrics
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Kubernetes 1.6 adds support for scaling based on multiple metrics. You can use the `autoscaling/v2beta2` API
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Kubernetes 1.6 adds support for scaling based on multiple metrics. You can use the `autoscaling/v2` API
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version to specify multiple metrics for the Horizontal Pod Autoscaler to scale on. Then, the Horizontal Pod
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Autoscaler controller will evaluate each metric, and propose a new scale based on that metric. The largest of the
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proposed scales will be used as the new scale.
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@@ -313,9 +312,11 @@ custom metrics is still available, these metrics will not be available for use b
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annotations for specifying which custom metrics to scale on are no longer honored by the Horizontal Pod Autoscaler controller.
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{{< /note >}}
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Kubernetes 1.6 adds support for making use of custom metrics in the Horizontal Pod Autoscaler.
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You can add custom metrics for the Horizontal Pod Autoscaler to use in the `autoscaling/v2beta2` API.
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Kubernetes then queries the new custom metrics API to fetch the values of the appropriate custom metrics.
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You can also use a HorizontalPodAutoscaler to change the scale of a
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workload based on custom metrics. You can add custom metrics for the
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Horizontal Pod Autoscaler to use in the `autoscaling/v2` API.
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Kubernetes then queries the new custom metrics API to fetch the values
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of the appropriate custom metrics.
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See [Support for metrics APIs](#support-for-metrics-apis) for the requirements.
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@@ -349,12 +350,14 @@ and [the walkthrough for using external metrics](/docs/tasks/run-application/hor
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Starting from
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[v1.18](https://github.com/kubernetes/enhancements/blob/master/keps/sig-autoscaling/853-configurable-hpa-scale-velocity/README.md)
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the `v2beta2` API allows scaling behavior to be configured through the HPA
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`behavior` field. Behaviors are specified separately for scaling up and down in
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`scaleUp` or `scaleDown` section under the `behavior` field. A stabilization
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window can be specified for both directions which prevents the flapping of the
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number of the replicas in the scaling target. Similarly specifying scaling
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policies controls the rate of change of replicas while scaling.
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the `v2beta2` API (and from v1.23 the `v2` API) allows scaling
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behavior to be configured through the HPA `behavior` field. Behaviors
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are specified separately for scaling up and down in `scaleUp` or
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`scaleDown` section under the `behavior` field. A stabilization window
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can be specified for both directions which prevents the flapping of
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the number of the replicas in the scaling target. Similarly specifying
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scaling policies controls the rate of change of replicas while
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scaling.
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### Scaling Policies
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