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GA data stream lifecycles in documentation
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This commit removes the warning about techincal preview for the data stream lifecycle documentation pages.
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dakrone committed Apr 17, 2024
1 parent 223e7f8 commit a8371ea
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<titleabbrev>Delete Data Stream Lifecycle</titleabbrev>
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preview::[]

Deletes the lifecycle from a set of data streams.

[[delete-lifecycle-api-prereqs]]
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<titleabbrev>Explain Data Stream Lifecycle</titleabbrev>
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Retrieves the current data stream lifecycle status for one or more data stream backing indices.

[[explain-lifecycle-api-prereqs]]
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<titleabbrev>Get Data Stream Lifecycle</titleabbrev>
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Gets stats about the execution of data stream lifecycle.

[[get-lifecycle-stats-api-prereqs]]
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}
]
}
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<titleabbrev>Get Data Stream Lifecycle</titleabbrev>
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Gets the lifecycle of a set of data streams.

[[get-lifecycle-api-prereqs]]
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<titleabbrev>Put Data Stream Lifecycle</titleabbrev>
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Configures the data stream lifecycle for the targeted data streams.

[[put-lifecycle-api-prereqs]]
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2 changes: 0 additions & 2 deletions docs/reference/data-streams/lifecycle/index.asciidoc
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[[data-stream-lifecycle]]
== Data stream lifecycle

preview::[]

A data stream lifecycle is the built-in mechanism data streams use to manage their lifecycle. It enables you to easily
automate the management of your data streams according to your retention requirements. For example, you could configure
the lifecycle to:
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[[tutorial-manage-data-stream-retention]]
=== Tutorial: Data stream retention

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In this tutorial, we are going to go over the data stream lifecycle retention, define it, go over how it can be configured and how
it can be applied. Keep in mind, the following options apply only to data streams that are managed by the data stream lifecycle.

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IMPORTANT: We use the `generation_time` instead of the creation time because this ensures that all data in the backing
index have passed the retention period. As a result, the retention period is not the exact time data get deleted, but
the minimum time data will be stored.
the minimum time data will be stored.
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[[tutorial-manage-existing-data-stream]]
=== Tutorial: Update existing data stream

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To update the lifecycle of an existing data stream you do the following actions:

. <<set-lifecycle>>
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[[tutorial-manage-new-data-stream]]
=== Tutorial: Create a data stream with a lifecycle

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To create a data stream with a built-in lifecycle, follow these steps:

. <<create-index-template-with-lifecycle>>
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[[tutorial-migrate-data-stream-from-ilm-to-dsl]]
=== Tutorial: Migrate ILM managed data stream to data stream lifecycle

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In this tutorial we'll look at migrating an existing data stream from Index Lifecycle Management ({ilm-init}) to
In this tutorial we'll look at migrating an existing data stream from Index Lifecycle Management ({ilm-init}) to
data stream lifecycle. The existing {ilm-init} managed backing indices will continue
to be managed by {ilm-init} until they age out and get deleted by {ilm-init}; however,
the new backing indices will be managed by data stream lifecycle.
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