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Investigate your data streams and address lifecycle management needs in the Data Streams view.
The value in the Indices column indicates the number of backing indices. Click this number to drill down into details.
A value in the data retention column indicates that the data stream is managed by a data stream lifecycle policy. This value is the time period for which your data is guaranteed to be stored. Data older than this period can be deleted by {{es}} at a later time.
In {{es-serverless}}, indices matching the logs-*-* pattern use the logsDB index mode by default. The logsDB index mode creates a logs data stream.
:::{image} /manage-data/images/serverless-management-data-stream.png :alt: Data stream details :screenshot: :::
- To view more information about a data stream, such as its generation or its current index lifecycle policy, click the stream’s name. From this view, you can navigate to Discover to further explore data within the data stream.
- To view information about the stream’s backing indices, click the number in the Indices column.
- A value in the Data retention column indicates that the data stream is managed by a data stream lifecycle policy. This value is the time period for which your data is guaranteed to be stored. Data older than this period can be deleted by {{es}} at a later time.
- To modify the data retention value, select a data stream, open the Manage menu, and click Edit data retention. On {{stack}}, this action is only available if your data stream is managed by a data stream lifecycle.
serverless: ga
stack: preview =9.1, ga 9.2+
The Streams page provides a centralized interface for managing your data in {{kib}}. It consolidates common data management tasks and eliminates the need for manual configuration of multiple applications and components. A stream maps directly to an {{es}} data stream, for example logs-myapp-default. Any changes that you make on the Streams page are automatically propagated to the associated data stream.
:::{image} /manage-data/images/data-stream-management-streams.png :alt: The Streams page :screenshot: :::
You can perform the following data management tasks on the Streams page:
- define parsing and field extraction logic
- configure data retention policies
- manually adjust index settings
- manage and update field mappings
- identify failed and degraded documents
- partition data into child streams {applies_to}
stack: preview 9.2+{applies_to}serverless: preview