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Merge pull request #23900 from varadaprasanth/patch-4 

Pod object is formatted
pull/23917/head
Kubernetes Prow Robot 2020-09-15 18:03:20 -07:00 committed by GitHub
parent 02b9c7b7d2 d455c7f5fd
commit 2d340079bf
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content/en/docs/tasks/run-application/horizontal-pod-autoscale.md
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@ -15,7 +15,7 @@ weight: 90
<!-- overview --> <!-- overview -->
The Horizontal Pod Autoscaler automatically scales the number of pods The Horizontal Pod Autoscaler automatically scales the number of Pods
in a replication controller, deployment, replica set or stateful set based on observed CPU utilization (or, with in a replication controller, deployment, replica set or stateful set based on observed CPU utilization (or, with
[custom metrics](https://git.k8s.io/community/contributors/design-proposals/instrumentation/custom-metrics-api.md) [custom metrics](https://git.k8s.io/community/contributors/design-proposals/instrumentation/custom-metrics-api.md)
support, on some other application-provided metrics). Note that Horizontal support, on some other application-provided metrics). Note that Horizontal
@ -45,16 +45,16 @@ obtains the metrics from either the resource metrics API (for per-pod resource m
or the custom metrics API (for all other metrics). or the custom metrics API (for all other metrics).
* For per-pod resource metrics (like CPU), the controller fetches the metrics * For per-pod resource metrics (like CPU), the controller fetches the metrics
from the resource metrics API for each pod targeted by the HorizontalPodAutoscaler. from the resource metrics API for each Pod targeted by the HorizontalPodAutoscaler.
Then, if a target utilization value is set, the controller calculates the utilization Then, if a target utilization value is set, the controller calculates the utilization
value as a percentage of the equivalent resource request on the containers in value as a percentage of the equivalent resource request on the containers in
each pod. If a target raw value is set, the raw metric values are used directly. each Pod. If a target raw value is set, the raw metric values are used directly.
The controller then takes the mean of the utilization or the raw value (depending on the type The controller then takes the mean of the utilization or the raw value (depending on the type
of target specified) across all targeted pods, and produces a ratio used to scale of target specified) across all targeted Pods, and produces a ratio used to scale
the number of desired replicas. the number of desired replicas.
Please note that if some of the pod's containers do not have the relevant resource request set, Please note that if some of the Pod's containers do not have the relevant resource request set,
CPU utilization for the pod will not be defined and the autoscaler will CPU utilization for the Pod will not be defined and the autoscaler will
not take any action for that metric. See the [algorithm not take any action for that metric. See the [algorithm
details](#algorithm-details) section below for more information about details](#algorithm-details) section below for more information about
how the autoscaling algorithm works. how the autoscaling algorithm works.
@ -65,7 +65,7 @@ or the custom metrics API (for all other metrics).
* For object metrics and external metrics, a single metric is fetched, which describes * For object metrics and external metrics, a single metric is fetched, which describes
the object in question. This metric is compared to the target the object in question. This metric is compared to the target
value, to produce a ratio as above. In the `autoscaling/v2beta2` API value, to produce a ratio as above. In the `autoscaling/v2beta2` API
version, this value can optionally be divided by the number of pods before the version, this value can optionally be divided by the number of Pods before the
comparison is made. comparison is made.
The HorizontalPodAutoscaler normally fetches metrics from a series of aggregated APIs (`metrics.k8s.io`, The HorizontalPodAutoscaler normally fetches metrics from a series of aggregated APIs (`metrics.k8s.io`,