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[DOCS] Updates AD at scale piece with autoscaling detail. (elastic#2275)
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docs/en/stack/ml/anomaly-detection/anomaly-detection-scale.asciidoc

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@@ -56,7 +56,7 @@ increasing the number of nodes in your environment.
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In {ecloud}, you can enable {ref}/xpack-autoscaling.html[autoscaling] so that
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the {ml} nodes in your cluster scale up or down based on current {ml}
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memory requirements. The {ecloud} infrastructure allows you to create
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memory and CPU requirements. The {ecloud} infrastructure allows you to create
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{ml-jobs} up to the size that fits on the maximum node size that the
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cluster can scale to (usually somewhere between 58GB and 64GB) rather than what
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would fit in the current cluster. If you attempt to use autoscaling outside of

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