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Tweak Horizontal Pod Autoscaler documentation (#10596)

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* Use consistent terms

* Fix typo
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nownabe
2018-10-12 22:21:18 +09:00
committed by k8s-ci-robot
parent 9936ea6552
commit 753f57f0e6
1 changed files with 2 additions and 2 deletions
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content/en/docs/tasks/run-application/horizontal-pod-autoscale.md
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@@ -141,7 +141,7 @@ the magnitude of any potential scale.
Furthermore, if any not-yet-ready pods were present, and we would have
scaled up without factoring in missing metrics or not-yet-ready pods, we
conservatively assume the non-yet-ready pods are consuming 0% of the
conservatively assume the not-yet-ready pods are consuming 0% of the
desired metric, further dampening the magnitude of a scale up.
After factoring in the not-yet-ready pods and missing metrics, we
@@ -163,7 +163,7 @@ from the metrics APIs), scaling is skipped.
Finally, just before HPA scales the target, the scale reccomendation is recorded. The
controller considers all recommendations within a configurable window choosing the
highest recommendation from within that window. This value can be configured using the `--horizontal-pod-autoscaler-downscale-stabilization-window` flag, which defaults to 5 minutes.
This means that scaledowns will occur gradually, smothing out the impact of rapidly
This means that scaledowns will occur gradually, smoothing out the impact of rapidly
fluctuating metric values.
## API Object