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HPA docs use 500 million cores for CPU scaling examples
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openshift-cherrypick-robot
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@@ -106,7 +106,7 @@ spec:
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name: cpu <9>
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target:
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type: Utilization <10>
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averageValue: 500Mi <11>
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averageValue: 500m <11>
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----
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<1> Use the `autoscaling/v2beta2` API.
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<2> Specify a name for this horizontal pod autoscaler object.
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@@ -131,10 +131,12 @@ $ oc create -f <file-name>.yaml
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. Verify that the horizontal pod autoscaler was created:
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+
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----
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$ oc get hpa hpa-resource-metrics-memory
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$ oc get hpa cpu-autoscale
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NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
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cpu-autoscale ReplicationController/example 173m/500m 1 10 1 20m
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NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
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oc get hpa hpa-resource-metrics-memory ReplicationController/example 2441216/500Mi 1 10 1 20m
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----
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For example, the following command creates a horizontal pod autoscaler that maintains between 3 and 7 replicas of the Pods that are controlled by the `image-registry` DeploymentConfig in order to maintain an average CPU utilization of 75% across all Pods.
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@@ -168,8 +168,8 @@ horizontalpodautoscaler.autoscaling/hpa-resource-metrics-memory created
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----
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$ oc get hpa hpa-resource-metrics-memory
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NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
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oc get hpa hpa-resource-metrics-memory ReplicationController/example 2441216/500Mi 1 10 1 20m
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NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
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hpa-resource-metrics-memory ReplicationController/example 2441216/500Mi 1 10 1 20m
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----
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+
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----
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