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Update _posts/2024-05-16-Top-3-Scenarios-Where-Managing-Multiple-Clus…
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Co-authored-by: Nathan Bower <[email protected]>
Signed-off-by: Lu Yu <[email protected]>
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BionIT and natebower authored May 16, 2024
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Expand Up @@ -10,7 +10,7 @@ meta_keyword: OpenSearch multiple data source, OpenSearch Dashboards
meta_description: This blog provides a quick glance at the accumulated features of multi-data sources from version 2.4 to 2.14 and how these features empower your productivity with unified experience.
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OpenSearch Dashboards, the visualization tool for your OpenSearch data, offers the multiple data sources feature. This feature enables you to consolidate and visualize data from various OpenSearch clusters within a unified dashboard. By integrating disparate sources into a single view, multiple data sources streamlines data analysis workflows, eliminates the need for complex data consolidation processes, and enhances productivity. With the ability to connect to and visualize data from multiple OpenSearch clusters, you can unlock new levels of observability, governance, and data-driven decision-making.
OpenSearch Dashboards, the visualization tool for your OpenSearch data, offers the multiple data sources feature. This feature enables you to consolidate and visualize data from various OpenSearch clusters within a unified dashboard. By integrating disparate sources into a single view, the multiple data sources feature streamlines data analysis workflows, eliminates the need for complex data consolidation processes, and enhances productivity. With the ability to connect to and visualize data from multiple OpenSearch clusters, you can unlock new levels of observability, governance, and data-driven decision-making.

The multiple data sources feature is available in OpenSearch versions 2.4 and later. The feature supports authentication types (AWS Signature Version 4, basic authentication), Vega visualizations, and data management features (importing of saved objects). With OpenSearch 2.14, we have expanded multiple data sources support for nine dashboard features (index management, machine learning (ML), search relevance, anomaly detection, maps, security, notifications, Query Workbench, and trace analytics) and certain visualizations (time-series visual builder [TSVB] and region maps). If you are managing an environment with multiple clusters and use one cluster more often than the others, you now have the ability to set a default cluster that can be referenced by all Dashboards features.

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