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Note in ECK autoscaling docs how cpu/ram is scaled. (#1029)
From the existing ECK docs, it sounds as though CPU and Ram can be independently scaled with a "Decider" from Elasticsearch, but no such decider exists. This makes it clear that cpu/ram are scaled relative to the storage min/max settings. --------- Signed-off-by: Michael Montgomery <[email protected]> Co-authored-by: Peter Brachwitz <[email protected]>
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deploy-manage/autoscaling/autoscaling-in-eck.md

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@@ -20,6 +20,14 @@ Configure autoscaling for {{es}} deployments in {{eck}}. Learn how to enable aut
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ECK can leverage the [autoscaling API](https://www.elastic.co/docs/api/doc/elasticsearch/group/endpoint-autoscaling) introduced in {{es}} 7.11 to adjust automatically the number of Pods and the allocated resources in a tier. Currently, autoscaling is supported for {{es}} [data tiers](/manage-data/lifecycle/data-tiers.md) and machine learning nodes.
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### Supported Resources for Autoscaling per Elasticsearch Tier
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| Tiers | Storage | Memory | CPU |
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| --- | ---| --- | --- |
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| Data Nodes (except Frozen) | Yes | Calculated proportionally to the required amount of storage | Calculated proportionally to the required amount of memory
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| Frozen Nodes | Yes | Yes | Calculated proportionally to the required amount of memory
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| Machine Learning | No | Yes | Calculated proportionally to the required amount of memory
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### Enable autoscaling [k8s-enable]
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target:
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type: Utilization
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averageUtilization: 50
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```
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```

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