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Merge pull request #105593 from Gabilehner/patch-1
Update manage-cluster-horizontal-scaling.md
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articles/data-explorer/manage-cluster-horizontal-scaling.md

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@@ -54,13 +54,14 @@ When your cluster approaches a state of over-utilization, scale out to maintain
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* The number of cluster instances is below the maximum number of instances defined by the user.
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* The cache utilization is high for over an hour.
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* The CPU is high for over an hour.
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* The ingestion utilization is high for over an hour.
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> [!NOTE]
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> The scale out logic doesn't currently consider the ingestion utilization metric. If this metric is important for your use case, use [custom autoscale](#custom-autoscale).
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**Scale in**
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When your cluster approaches a state of under-utilization, scale in to lower costs but maintain performance. Multiple metrics are used to verify that it's safe to scale in the cluster. The following rules are evaluated daily for 7 days before scale in is performed:
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When your cluster approaches a state of under-utilization, scale in to lower costs but maintain performance. Multiple metrics are used to verify that it's safe to scale in the cluster. The following rules are evaluated hourly for 6 hours before scale in is performed:
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* The number of instances is above 2 and above the minimum number of instances defined.
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* To ensure that there's no overloading of resources, the following metrics must be verified before scale in is performed:
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* Cache utilization isn't high

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