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Expand Up @@ -29,7 +29,7 @@ For any existing managed index in your cluster, you can access the ILM policy ap
:::{tip}
{{es}} comes with many built-in ILM policies. For standard Observability or Security use cases, you will have two {{ilm-init}} policies configured automatically: `logs@lifecycle` for logs and `metrics@lifecycle` for metrics.

To learn how to create a specialized ILM policy for any data stream, such as those created when you install an Elastic Integration, refer to our tutorial [Customize built-in policies](/manage-data/lifecycle/index-lifecycle-management/tutorial-automate-rollover.md).
To learn how to create a specialized ILM policy for any data stream, such as those created when you install an Elastic Integration, refer to our tutorial [Customize built-in policies](/manage-data/lifecycle/index-lifecycle-management/tutorial-customize-built-in-policies.md).
:::

**To view the current lifecycle status for a datastream:**
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Expand Up @@ -39,7 +39,7 @@ When an index is rolled over, the previous index’s age is updated to reflect t

## Automatic rollover [ilm-automatic-rollover]

{{ilm-init}} and the data stream lifecycle (in [preview]]) enable you to automatically roll over to a new index based on conditions like the index size, document count, or age. When a rollover is triggered, a new index is created, the write alias is updated to point to the new index, and all subsequent updates are written to the new index.
{{ilm-init}} and the data stream lifecycle enable you to automatically roll over to a new index based on conditions like the index size, document count, or age. When a rollover is triggered, a new index is created, the write alias is updated to point to the new index, and all subsequent updates are written to the new index.

::::{tip}
Rolling over to a new index based on size, document count, or age is preferable to time-based rollovers. Rolling over at an arbitrary time often results in many small indices, which can have a negative impact on performance and resource usage.
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