Work with the Analytics User Interface

GigaVUE‑FM allows you to share the dashboard, clone the dashboard, generate the report, copy the dashboard, search data, etc., To know more about the user interface, refer to following sections:

Share

Use to share Dashboard pages with other users. To share a dashboard:

  1. Navigate to the Dashboard page that you want to share.
  2. From the top navigation bar, click Share.
  3. The following options are available:
    • Embed Code: Use to share the dashboard in an iFrame Embed URL.
    • Permalinks: Use to share the permalink URL of the dashboard page.

Clone

Use to clone the system dashboard pages. Refer to the Clone Dashboard section for the details.

Reporting

Use to generate the report in PDF or in PNG format that can be downloaded instantly. The generated report is also listed in the Reports page. Refer to the Reports section for details.

Set as Default

Use to change the default dashboard page:

  • Navigate to the specific dashboard page.
  • Click to set this dashboard page as default.

 

Copy Dashboard Path

The GigaVUE-FM Analytics page allows you to add links in custom dashboard pages for navigating from one dashboard page to another dashboard page without going to the listing page. To do this:

  • Navigate to the custom dashboard page on which you need to add the link.
  • Click on icon to copy the relative path.
  • Create a new markdown visualization or Edit an existing markdown visualization.
  • Paste the link in [Title](RelativePath) format. For example [Alarms](#/dashboard/fha-alarms).
  • Add the markdown visualization to any of the custom dashboards on which the links of other dashboards needs to be added.

Auto Refresh Tags in Visualizations

In Fabric Health Analytics, the data is saved as index patterns in the Elastic Search database and is fetched into the various fields in the visualizations. However, when you add tag ids dynamically in GigaVUE-FM and associate the tags to the various resources, the tag ids are not automatically refreshed in the visualizations. To add the new tags in visualizations:

  1. Create new tag key and tag values from the tags page. Refer to the Create User-defined Tag section in the GigaVUE Administration Guide.

  2. Associate the resources to the tag keys and tag values. For example, to add tag key and tag values to the physical nodes, refer to the Add New Physical Node or Cluster to GigaVUE‑FM
  3. Click on Refresh Index Pattern icon for the newly added tags to get reflected in the visualization filters in the system and custom visualizations.

Filter Data Using Tags in Control Filters

Customize the Tag Sample - Statistics option available in some of the Statistical Dashboards to filter the data based on the required tags.

Pre-requisites

  • Ensure to add the required tag keys and tag values to the tags page, and associate the tag values to the resources.
  • Use the Refresh Index Pattern icon for the newly added tags to get reflected in the Analytics page.

Consider a scenario in which you want to filter the inventory details in GigaVUE-FM based on a newly created tag key called SITE:

To do this:

  1. Clone the required statistical dashboard.
  2. Click Edit.
  3. Scroll to the Control Visualization panel. Click Options and select Edit Visualization.

  4. In the Control tab, configure the following. This is for filtering the data based on the tag value SITE.
    5. Control LabelSite
    Index Patternfmstats*
    Fieldtag.site

  5. Configure the existing tags as required:
    6. Parent ControlUse to configure a specific field as a parent based on which the other fields are filtered
    MultiselectUse to select multiple variables within a field
    Dynamic OptionsUse to update the dashboards and visualizations dynamically based on this criteria.
  6. In the Option tab, configure the following:
    7. Update Kibana filters on each change 
    Use time filterTo update the data based on the time filter configured in the dashboard.
    Pin filters for all applications 
  7. Click Update to update the changes.
  8. Customize the panel title or remove it, as required. Move the control visualization to the top.

You can also create a new control visualization using the steps described above.

Search Data

To search your data:

  • Enter the search criteria in the Query bar.
  • Press Enter or click Update/Refresh button to submit the request.
  • Click the Saved Queries icon to save the current query.

You can use Kibana’s standard query language (KQL).

Note:  When you submit a search request, the histogram, Documents table, Fields list and all the widgets in the dashboard are updated to reflect the search results.

Filter Data in Visualizations

Fabric Health Analytics (FHA) provides various options to filter your data:

  • Time Filter: Use time filter to retrieve search results for a specific time period.

    Use the Refresh option to refresh the dashboards for the selected time interval. It is recommended to configure a longer time interval.

    Use Quick Select option to change the time interval.

    Use the CHANGE ALL FILTERS to configure the following options:

    • Enable all: Enables all saved filters
    • Disable all: Disables all saved filters
    • Pin all: Filter is applied to all the dashboards
    • Unpin all: Filter is no longer applied to all the dashboards
    • Invert Inclusion: Included filters will be inverted.
    • Invert enabled/disabled: Enable and disable options are inverted
    • Remove all: Removes all filters

    Filtering in visualizations:

    • Select and drag an area of the visualization for a specific time interval. All the visualizations in the dashboard get updated for that time interval. The time interval also gets updated in the Quick Select.
    • Double click on an area in the visualization and select the required filters to apply.

    • Control Visualizations: Use Control Visualizations to filter the data based on tags. For example, in the Inbound Port Statistics visualization, you can filter the data based on the cluster id, port number, port id or port alias. Refer to the following sections:

      .