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@@ -252,7 +252,7 @@ changes. The cloud service will add more resources to the cluster based on Elast
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Elasticsearch by itself cannot automatically scale.
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Autoscaling recommendations are tailored for the user [based on user defined policies][], composed of data
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-roles (hot, frozen, etc) and [deciders][]. There's a public [webinar on autoscaling][], as well as the
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+roles (hot, frozen, etc.) and [deciders][]. There's a public [webinar on autoscaling][], as well as the
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public [Autoscaling APIs] docs.
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Autoscaling's current implementation is based primary on storage requirements, as well as memory capacity
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@@ -332,7 +332,7 @@ problems in the cluster. It uses [an algorithm defined here][]. Some examples ar
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[an algorithm defined here]: https://github.com/elastic/elasticsearch/blob/v8.13.2/x-pack/plugin/autoscaling/src/main/java/org/elasticsearch/xpack/autoscaling/storage/ReactiveStorageDeciderService.java#L158-L176
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The `ProactiveStorageDeciderService` maintains a forecast window that [defaults to 30 minutes][]. It only
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-runs on data streams (ILM, rollover, etc), not regular indexes. It looks at past [index changes][] that
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+runs on data streams (ILM, rollover, etc.), not regular indexes. It looks at past [index changes][] that
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took place within the forecast window to [predict][] resources that will be needed shortly.
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[defaults to 30 minutes]: https://github.com/elastic/elasticsearch/blob/v8.13.2/x-pack/plugin/autoscaling/src/main/java/org/elasticsearch/xpack/autoscaling/storage/ProactiveStorageDeciderService.java#L32
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