Patch #4118 for typos
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@@ -180,7 +180,7 @@ the only other supported resource metric is memory. These resources do not chan
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to cluster, and should always be available, as long as Heapster is deployed.
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You can also specify resource metrics in terms of direct values, instead of as percentages of the
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requested value. To do so, use the `targetAverageValue` field insted of the `targetAverageUtilization`
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requested value. To do so, use the `targetAverageValue` field instead of the `targetAverageUtilization`
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field.
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There are two other types of metrics, both of which are considered *custom metrics*: pod metrics and
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@@ -296,7 +296,7 @@ Conditions:
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Type Status Reason Message
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---- ------ ------ -------
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AbleToScale True ReadyForNewScale the last scale time was sufficiently old as to warrant a new scale
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ScalingActive True ValidMetricFound the HPA was able to succesfully calculate a replica count from pods metric http_requests
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ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from pods metric http_requests
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ScalingLimited False DesiredWithinRange the desired replica count is within the acceptible range
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Events:
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```
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@@ -307,8 +307,8 @@ whether or not any backoff-related conditions would prevent scaling. The second
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indicates whether or not the HPA is enabled (i.e. the replica count of the target is not zero) and
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is able to calculate desired scales. When it is `False`, it generally indicates problems with
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fetching metrics. Finally, the last condition, `ScalingLimitted`, indicates that the desired scale
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was capped by the maximum or minimum of the HorizontalPodAutoscaler. This is an indicatation that
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you may wish to raise or lower the mimimum or maximum replica count constrains on your
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was capped by the maximum or minimum of the HorizontalPodAutoscaler. This is an indication that
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you may wish to raise or lower the minimum or maximum replica count constraints on your
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HorizontalPodAutoscaler.
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## Appendix: Other possible scenarios
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