index.asciidoc 914 B

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  1. [role="xpack"]
  2. [testenv="platinum"]
  3. [[xpack-autoscaling]]
  4. [chapter]
  5. = Autoscaling
  6. experimental[]
  7. The autoscaling feature enables an operator to configure tiers of nodes that
  8. self-monitor whether or not they need to scale based on an operator-defined
  9. policy. Then, via the autoscaling API, an Elasticsearch cluster can report
  10. whether or not it needs additional resources to meet the policy. For example, an
  11. operator could define a policy that a warm tier should scale on available disk
  12. space. Elasticsearch would monitor and forecast the available disk space in the
  13. warm tier, and if the forecast is such that the cluster will soon not be able to
  14. allocate existing and future shard copies due to disk space, then the
  15. autoscaling API would report that the cluster needs to scale due to disk space.
  16. It remains the responsibility of the operator to add the additional resources
  17. that the cluster signals it requires.