Dashboards and Visualization


Create Dashboard

  1. Click the Image description icon and select the Dashboard option.
  2. Click the Create Dashboard button.
  3. Add an existing or new object to this dashboard.

All the dashboards created are listed in the Dashboard page. You can click and view the required Dashboard.

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Add Filters

  1. Click the +Add filter option.
  2. Select the field and Operator in the EDIT FILTER field.

Create Visualization

Audit Logs can be visualized in different formats, for example, Data Table, Gantt Chart, Horizontal Bar, etc.

  1. Click the Image description icon and select the Visualize option.
  2. Click the Create Visualization button.
  3. Select the Visualization Type, for example, Data Table. Image description
  4. Choose the source as jiffy.audit. Create Visualization page opens.
  5. Click the Add button from the Buckets.
  6. Select Split Rows option from the Buckets drop-down. Image description
  7. Select Terms from the Aggregation drop-down.
  8. Select the field to be displayed in the visualization, for example, select eventinfo.keyword to display Event Info.
  9. Click the Update button and add more fields.
  10. Click the Save button.

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All the visualizations created are listed in the Visualization page.

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Create Visualization as “Data Table”

  1. Select a visualization type as “Data Table”.
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  2. Select an index pattern from which data needs to be accessed. Image description
  3. Add a bucket in visualization.
    1. Click the Add button under Buckets. Image description
    2. Click the Split rows option. Image description
    3. Select aggregation and field as shown below. Image description
    4. Click on Add button to add more buckets and select aggregation and field in each bucket.
    5. Click the Update button and then click Save button. Image description
  • The following example shows 100 task which has taken maximum time: Image description

Create Index in Kibana

  1. Open the Stack Management.
  2. Click on the Create Index Patterns.
  3. Define the name of index with tenant Domain name as bot_task_log.
  4. Select the primary time field for index.
  5. Click on Create the index pattern.

Bot Consumption HeatMap

  1. Add Scripted Field execTime in number format. Image description
  2. execTime as Scripted Field is shown below. Image description
  3. Refresh the bot_task_logs index. Image description
  4. Create a visualisation as heatmap.
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  5. Use the index bot_task_logs.
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  6. Each block shows bot utilization in number of seconds. Image description Image description Image description

Bot Live Status

  1. Create visualization as Data table.
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  2. Select index as del_agent.
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  3. Apply filter for that index.
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  4. Add bucket and select the config as below.
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  5. Split Rows as per the timestamp and apply size 1.
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  6. Split rows by Status and apply limit as one.
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  • After this, you can see the live status of the bot in the Datatable.

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More Sample Dashboards

Task status by App

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Task Execution Rate with Pass and Fail

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Failed iteration with Error Message

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See Also

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