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Copy file name to clipboardExpand all lines: articles/azure-monitor/platform/autoscale-best-practices.md
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@@ -107,7 +107,7 @@ Similarly, when autoscale switches back to the default profile, it first checks
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### Considerations for scaling when multiple rules are configured in a profile
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There are cases where you may have to set multiple rules in a profile. The following autoscale rules are used by services when multiple rules are set.
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There are cases where you may have to set multiple rules in a profile. The following autoscale rules are used by the autoscale engine when multiple rules are set.
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On *scale-out*, autoscale runs if any rule is met.
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On *scale-in*, autoscale require all rules to be met.
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On the other hand, if CPU is 25% and memory is 51% autoscale does **not** scale-in. In order to scale-in, CPU must be 29% and Memory 49%.
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### Always select a safe default instance count
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The default instance count is important autoscale scales your service to that count when metrics are not available. Therefore, select a default instance count that's safe for your workloads.
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The default instance count is important because autoscale scales your service to that count when metrics are not available. Therefore, select a default instance count that's safe for your workloads.
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### Configure autoscale notifications
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Autoscale will post to the Activity Log if any of the following conditions occur:
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* Autoscale issues a scale operation
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* Autoscale service successfully completes a scale action
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* Autoscale issues a scale operation.
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* Autoscale service successfully completes a scale action.
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* Autoscale service fails to take a scale action.
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* Metrics are not available for autoscale service to make a scale decision.
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* Metrics are available (recovery) again to make a scale decision.
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