From eb177c4fa2d833a3ec517305fd6d0a330bef0891 Mon Sep 17 00:00:00 2001 From: Lu Yu Date: Thu, 16 May 2024 19:35:41 +0000 Subject: [PATCH] update document Signed-off-by: Lu Yu --- ...le-Data-Source-In-OpenSearch-Dashboards.md | 103 ------------------ ...e-OpenSearch-Dashboards-is-a-Life-Saver.md | 96 ++++++++++++++++ .../ad_overview.png | Bin .../channels_overview.png | Bin .../compare_queries.png | Bin .../create_role.png | Bin .../dashboards_overall.png | Bin .../detailed_index.png | Bin .../detector_detail.png | Bin .../devtool.png | Bin .../discover.png | Bin .../indexes_overview.png | Bin .../maps_1.png | Bin .../maps_2.png | Bin .../models_overview.png | Bin .../role_detail.png | Bin .../roles_overview.png | Bin .../tsvb_overall.png | Bin .../vega_overall.png | Bin 19 files changed, 96 insertions(+), 103 deletions(-) delete mode 100644 _posts/2024-04-30-Embrace-Multiple-Data-Source-In-OpenSearch-Dashboards.md create mode 100644 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multi-data sources from version 2.4 to 2.14 and how these features empower your productivity with unified experience. ---- - -Before 2.4 release, OpenSearch Dashboards only works with a single OpenSearch cluster, and it is impossible to view data from different clusters within the dashboards. - -In 2.4, multiple data source feature was introduced together with data source management UI portal to allow users to add new data source to the dashboards, create index patterns based on those data sources, and execute queries against a specific connected data source. In 2.6 release, AWS signature Version 4 was added as one authentication type supported by multi data source in addition to basic auth. Thereafter, multi data source support at core plugin including `Dev Tools` was added in 2.7 release, sample data support was added in 2.9 release, then added in for Vega visualization in 2.13. File based saved objects import sourced from multi data source was added into OpenSearch Dashboards in 2.12. - -In this release, to ensure users that have been using the multiple data source feature to have a consistent experience in the dashboards, we enabled multiple data source at 9 OpenSearch Dashboards plugins including Index Management, Machine Learning, Search Relevance, Anomaly Detection, Maps, Security, Notification, Query Workbench, Trace Analytics, and enabled multiple data source at 2 core plugins including TSVB and Region Map. In addition, we introduced default data source feature which will be the default option chosen for all plugins pages that support multi data source. - -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. - -## User scenario - Single panel of glass of data -Use one OpenSearch Dashboards to present data from multiple OpenSearch Cluster - -### Case 1 -In large corporation, user’s data has been distributed in different data sources, before multiple data source was introduced. User has to put data into centralized storage before they could analyze it. With the build-in support of multiple data source, OpenSearch dashboards could present data from multiple data sources within a single dashboard. Starting 2.14, we support additional visualization type including Vega, TSVB, Region Map, in addition to index pattern based visualizations. - - -### Case 2 -Apply map layer based on data from different data source. -Starting 2.13 release, we added the referenced data source as a prefix to the index pattern name which allows easy identification during creation as below. - -Also, the referenced data sources from the current map layers are indicated by clicking on the icon on the top navigation bar. - - -## User scenario - Centralized Data Management and Governance -Use one OpenSearch Dashboards as admin tool to manage resource on multiple OpenSearch Cluster - -### Case 1 Manage indexes, streams, aliases, in a centralized place -Before 2.14, index management within the dashboards allows to perform management operations on indexes within one OpenSearch cluster. With multi data source support added for the plugin in 2.14, all operations include create, read, update, delete (CRUD), mapping operations for indexes, index templates, and aliases living in different data sources can be completed in one dashboard. Using indexes as an example, indexes from different data sources can be displayed by switching source at the top navigation bar, and operations can be done by selecting a specific index then choose the desired option. - - -Detailed information about the selected index can be viewed by clicking on the index name. - - -Note that id of the data source is set as query parameter into the dashboard endpoint, thus specific page can be bookmarked and shared. - -### Case 2 Manage roles, internal users at one central place -Together with 2.14 release, dashboards Security plugin has enabled multi data source support allowing admin users to manage roles and internal users from different data sources in one central place. Use roles as example, existing role from selected data source is displayed. - - - -Click on create role will take to the create page, after filling the information and select create, a new role will be created inside the selected data source. - - - -The created role can also be edited from the dashboards. - - -### Case 3 Manage notification channels from one place -Start 2.14 release, notification channels created from connected data sources can be managed in one place with multi data source support. By switching to a data source with notification configured, users would be able to view and/or modify the notification settings. - - - -### Case 4 Manage machine learning models running inside OpenSearch clusters at one place -Starting 2.14 , machine learning plugin enabled multi data source support, and by adding a data source with machine learning models, we can manage the models within the added data sources as below. Note that the selection happens by using the selector from the navigation bar. - - - -Also note that the pretrained models were deployed to the selected cluster using `Dev Tools` page. - -### Case 5 use `Dev Tools` to query/modify data using API against specific data source at one place -Starting 2.7, `Dev Tools` is integrated with multi data source, and by selecting the target data source to execute the command on, users can query/modify the backend data directly at one central place. - - - -## User scenario - Productivity for observability and search -User one OpenSearch Dashboards to monitor and analyze the system on multiple OpenSearch cluster. - -### Case 1 Extract insights and get value out of data from different data sources in Discover -Since 2.4 release, Discover supports multi data source by default, and by selecting the index pattern created based on different data sources, users can explore data from different data sources. - - - -### Case 2 Manage anomaly detectors across data sources -With multi data source support added in 2.14 release, anomaly detectors created from different OpenSearch clusters can be viewed in one central place in the dashboards. By switching among connected data sources with detectors, the list of detectors created from the data source are displayed, see below as example. - - - -Detectors can be created, viewed, and modified in one dashboard. - - - -### Case 3 Compare query results from different data sources -Before 2.14, dashboards only allow comparison of search results from indexes within one cluster. Starting 2.14, Search Relevance plugin enabled multi data source support, and we can compare the search results from indexes within 2 different clusters. Note that the data source selector within the page pre-populates the available data sources to choose from. - - - -## Summary -OpenSearch Dashboards provides direct visualization interface of user’s data located in the OpenSearch cluster, with multiple data source feature, OpenSearch Dashboards serves as the one dashboard for all connected OpenSearch clusters, allowing to find the right information, analyze log data, build report, and many more. - -Special thanks to Ramakrishna Chilaka, Prabhat Sharma, Derek Ho, Junqiu Lei, Jackie Han, Riya Saxena, Sumukh Hanumantha Swamy, Lin Wang, Ella Zhu, Emma Jin, Huy Nguyen, Zhongnan Su for their work to enable multi data source support in the OpenSearch Dashboards and plugins! - - diff --git a/_posts/2024-05-16-Top-3-Scenarios-Where-Managing-Multiple-Clusters-with-One-OpenSearch-Dashboards-is-a-Life-Saver.md b/_posts/2024-05-16-Top-3-Scenarios-Where-Managing-Multiple-Clusters-with-One-OpenSearch-Dashboards-is-a-Life-Saver.md new file mode 100644 index 0000000000..57eea97331 --- /dev/null +++ b/_posts/2024-05-16-Top-3-Scenarios-Where-Managing-Multiple-Clusters-with-One-OpenSearch-Dashboards-is-a-Life-Saver.md @@ -0,0 +1,96 @@ +--- +layout: post +title: "Top 3 Scenarios Where Managing Multiple Clusters with One OpenSearch Dashboard is a Life Saver" +authors: + - nluyu +date: 2024-05-16 +categories: + - feature +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. +--- + +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. + +Multiple data sources is available in OpenSearch version 2.4 and later. Multiple data sources supports authentication types (AWS SigV4, basic authentication), Vega visualizations, and data management features (saved objects importing). 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, notification, 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 than the others, you now have functionality to set a default cluster that can be referenced by all dashboard features. + +This blog explains the top three scenarios to enable one OpenSearch Dashboards instance to handle data from multiple data sources. + +## Scenario 1: Unified analytics across distributed data sources +For enterprises with data scattered across various clusters, users previously had to establish temporary ingestion pipelines to consolidate data into a central repository for analysis. However, with the introduction of multiple data sources support, OpenSearch Dashboards now enables users to query and visualize data from multiple sources within a single dashboards. This feature supports a range of visualization types, like Vega, TSVB, Region Map, and index pattern-based visualizations, providing a comprehensive and cohesive view of dispersed data. + +The following images show how OpenSearch Dashboards can present data from various sources in a unified dashboard view. + +Users can perform query analytics on different clusters using the data source picker. + + + + + +The following image shows a TSVB visualization created from disparate data sources. + + + +By simply specifying a new data_source_name field within the Vega specification url field, users can create Vega visualization with data from one or multiple specific data sources by name. An example specification setting is shown in the following image. + + + +Multiple data sources supports adding a prefix to the index pattern name, improving ease of identifying the pattern during its creation. + + + +Also, the referenced data sources from the current map layers are indicated by clicking on the icon on the top navigation bar. + + + +## Scenario 2: Centralized data management and governance + +In addition to analyzing multiple data sources in a unified dashboard, you can manage remote clusters operationally. You can manage your indexes, security policies, notifications, and ML models and then select the target data source from the unified dashboard. + +OpenSearch Dashboards allows you to perform all index operations, such as creating, reading, updating, and deleting indexes, as well as managing index mappings, templates, and aliases, across multiple data sources from a single instance. + +You can switch between different data sources using the upper-right navigation bar, select a specific index, and choose the desired operation. Selecting on an index name will display detailed information about that index. The data source id, which is the unique identifier (UUID) is embedded in the URL, allowing you to bookmark and share specific pages directly. + +The following images show the data source picker in the top right hand corner within Index State Management. + + + + + +OpenSearch Dashboards supports managing security across multiple data sources. Administrators can centrally manage roles and internal users for different clusters by selecting the desired cluster from the DATA SOURCES dropdown menu, as shown in the following image. + + + +Users can also manage notification channels, as shown in the following image. + + + +Users can manage remote ML models, as shown in the following image. The pre-trained models are deployed to the selected cluster through the Dev Tools console. + + + +The Dev Tools console, shown in the following image, is integrated with the multiple data sources feature. Users can select the target data source and execute commands to query ot modify the backend data directly from a central location. + + + +Multiple data sources enable OpenSearch Dashboards to provide a centralized interface to create, view, and modify anomaly detectors from various OpenSearch clusters, streamlining the management process, as shown in the following image. + + + + +## Scenario 3: Comparing search query results across clusters + +For users with multiple OpenSearch clusters handling search traffic, multiple data sources enables OpenSearch Dashboards with the ability to compare search results across these clusters within a single instance by using the Data Source picker in the Compare search results application. + + + + +## Summary +The multiple data sources feature in OpenSearch Dashboards represents a significant advancement in data analysis and management. By consolidating access to distributed data sources within a single interface, it enables users to gain comprehensive insights, streamline operations, and make informed decisions more efficiently. As organizations face challenges in managing and analyzing data across disparate systems, this feature positions OpenSearch Dashboards as a powerful solution for centralized data observability, governance, and exploration. With the ability to unify data from multiple clusters, users can unlock new levels of productivity, collaboration, and data-driven decision-making across their data ecosystem. + +If you have additional scenarios you’d like us to cover, let us know. + +Special thanks to Ramakrishna Chilaka, Prabhat Sharma, Derek Ho, Junqiu Lei, Jackie Han, Riya Saxena, Sumukh Hanumantha Swamy, Lin Wang, Ella Zhu, Emma Jin, Huy Nguyen, Zhongnan Su for their work to enable multiple data sources support for OpenSearch Dashboards. + + + diff --git a/assets/media/blog-images/2024-04-30-embrace-multiple-data-source-in-opensearch-dashboards/ad_overview.png b/assets/media/blog-images/2024-05-16-top3-scenarios-where-managing-multiple-clusters-with-one-opensearch-dashboards-is-a-life-saver/ad_overview.png similarity index 100% rename from assets/media/blog-images/2024-04-30-embrace-multiple-data-source-in-opensearch-dashboards/ad_overview.png rename to 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