Splunk® AR for iOS

Administer Splunk AR

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This documentation does not apply to the most recent version of Splunk® AR for iOS. For documentation on the most recent version, go to the latest release.
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About AR workspaces

An augmented reality (AR) workspace is a template for Splunk dashboard data. Register an asset that produces or refers to data, associate the asset with an AR workspace, and fill the AR workspace with Splunk data. When you scan the asset tag with the Splunk AR camera, you'll see dashboard visualizations placed on top of real-world objects. You can interact with, adjust, and add notes to visualizations in augmented reality.

When you scan an asset, Splunk AR identifies the data you want to view, retrieves it from your Splunk Enterprise instance, and displays the data on your mobile device. You can resize and reposition AR workspaces, and add augmented reality notes to describe your data.

See Visualization support in the Splunk Cloud Gateway Release Notes Manual for more information about compatible visualizations.

Use case for AR workspaces

An AR workspace is a powerful tool for investigating a collection of data-producing parts. Here's an example of how AR workspaces make data easily accessible.

A technician needs to service a power generator that isn't working. The generator has many cables and systems that are indistinguishable at first glance. The technician can scan an asset tag on the generator and render an AR workspace on their mobile device. The AR workspace contains values for each of the generator components, overlaid on their respective cables and systems. The AR workspace also contains notes to identify values and communicate important information about the generator. The AR visualizations and notes allow the technician to easily identify which cables or systems require maintenance.

Once the technician identifies the issue and fixes the generator, the AR visualizations update in real time. As the generator values change, so do the values in the AR workspace. The technician confirms that the power generator is working.

AR workspaces as templates

Think of AR workspaces as templates for positioning visualizations. After you select a dashboard, you can populate a new or existing AR workspace with Splunk data.

If you start with a new AR workspace, the augmented reality data displays in a default grid position. From the default position, you can adjust the visualizations and add notes.

If you start with an existing workspace, select from a list of AR workspaces with the same number of visualizations as panels in your selected dashboard. The data populates the AR workspace in the positioning of the existing workspace you selected. Notes in the existing AR workspace carry over to to the AR workspace you create. From the existing workspace, you can adjust the visualizations, add, and edit notes.

If your organization has a large number of data-producing assets, templates are useful to quickly fill AR workspaces with real-time Splunk data. For example, if you want to monitor hundreds or thousands of motors, you can register the motors as assets, and insert the asset IDs as form inputs. Then, create an AR workspace, position the augmented reality visualizations on the respective parts of a motor, and use a single workspace and dashboard for all motors.

See Insert an asset ID as a form input in Splunk AR to learn how to use an asset ID as a form input.

Create and view AR workspaces

You can create AR workspaces in the Splunk Cloud Gateway app or in the Splunk AR app.

Splunk AR does not support all visualizations. See see App-specific limitations in the Splunk Cloud Gateway manual.

To create AR workspaces in the Splunk Mobile app, see Register assets with Splunk AR.

To create AR workspaces in the Splunk Cloud Gateway app, see Register assets for Splunk AR users in Splunk Cloud Gateway.

To view AR workspaces with your mobile device, see View Splunk dashboards and AR workspaces using Splunk AR.

Last modified on 09 October, 2020
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This documentation applies to the following versions of Splunk® AR for iOS: 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.4.0, 1.4.1, 1.5.0, 2.0.0, 2.1.0, 2.2.0, 2.3.0, 2.4.1, 2.5.0


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