address comments

Signed-off-by: Lu Yu <[email protected]>

_posts/2024-05-16-Top-3-Scenarios-Where-Managing-Multiple-Clusters-with-One-OpenSearch-Dashboards-is-a-Life-Saver.md

@@ -12,7 +12,7 @@ meta_description: This blog provides a quick glance at the accumulated features
 
 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.
+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 map). 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.
 
 This blog post explains the top three scenarios in which you might want to enable one OpenSearch Dashboards instance to manage data from multiple data sources. 
 
@@ -69,7 +69,7 @@ Users can manage remote ML models, as shown in the following image. The pretrain
 
 <img src="/assets/media/blog-images/2024-05-16-top3-scenarios-where-managing-multiple-clusters-with-one-opensearch-dashboards-is-a-life-saver/models_overview.png"/>
 
-The Dev Tools console, shown in the following image, is integrated with the multiple data sources feature. You can select the target data source and execute commands to query to modify the backend data directly from a central location. 
+The Dev Tools console, shown in the following image, is integrated with the multiple data sources feature. You can select the target data source and execute commands to query the backend data directly from a central location. 
 
 <img src="/assets/media/blog-images/2024-05-16-top3-scenarios-where-managing-multiple-clusters-with-one-opensearch-dashboards-is-a-life-saver/devtool.png"/>