Merge pull request #1139 from hyunchel/update-hpa-docs
Add missing commas, fix typos
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0c97a1d75e
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@ -120,13 +120,14 @@ all running pods. Example:
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alpha/target.custom-metrics.podautoscaler.kubernetes.io: '{"items":[{"name":"qps", "value": "10"}]}'
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alpha/target.custom-metrics.podautoscaler.kubernetes.io: '{"items":[{"name":"qps", "value": "10"}]}'
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```
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```
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In this case if there are 4 pods running and each of them reports qps metric to be equal to 15 HPA will start 2 additional pods so there will be 6 pods in total. If there are multiple metrics passed in the annotation or CPU is configured as well then HPA will use the biggest
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In this case, if there are four pods running and each pod reports a QPS metric of 15 or higher, horizontal pod autoscaling will start two additional pods (for a total of six pods running).
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number of replicas that comes from the calculations.
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If you specify multiple metrics in your annotation or if you set a target CPU utilization, horizontal pod autoscaling will scale to according to the metric that requires the highest number of replicas.
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If you do not specify a target for CPU utilization, Kubernetes defaults to an 80% utilization threshold for horizontal pod autoscaling.
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If you want to ensure that horizontal pod autoscaling calculates the number of required replicas based only on custom metrics, you should set the CPU utilization target to a very large value (such as 100000%). As this level of CPU utilization isn't possible, horizontal pod autoscaling will calculate based only on the custom metrics (and min/max limits).
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At this moment even if target CPU utilization is not specified a default of 80% will be used.
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To calculate number of desired replicas based only on custom metrics CPU utilization
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target should be set to a very large value (e.g. 100000%). Then CPU-related logic
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will want only 1 replica, leaving the decision about higher replica count to cusom metrics (and min/max limits).
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## Further reading
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## Further reading
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