Usage Data Dashboard
The Usage Data Dashboard in Unified Analytics gives visibility into processing and platform use.
The Usage Data dashboard provides a clear line of sight into the volume of events and incidents within the BigPanda platform.
Unified Analytics Required
This feature is only available for organizations leveraging Unified Analytics. If you'd like to learn how to move to Unified Analytics, reach out to us at [email protected].
Key Features
The dashboard allows you to:
- Visualize and track usage statistics across your organization
- Filter by Source System and by date-range
- Use the Granularity dropdown to break results out by hour, day, month, or year.
For more information about working with this and other Unified Analytics dashboards, see the View Unified Analytics documentation.
Consumption Pricing Insights
For organizations on a consumption-pricing model, this dashboard also gives visibility into how credits are being consumed. Use the Usage Data dashboard to monitor your usage to prevent surprises and help determine when you need to obtain additional credits.
Credits are typically consumed based on:
- Events ingested - A monitoring or change event sent to BigPanda from an external system. Events may include metric changes, status change, an email, a change event, and more. Events are counted before deduplication, alert filtering, and suppression from maintenance plans within BigPanda. Events are not counted if they are filtered within the integration itself before reaching BigPanda.
- Actioned Incidents - A group of one or more Events that has had a qualifying action performed on it. Qualifying actions include Comments, Assignments to a user, and Manual or Automated Shares.
Incidents are classified as Actioned once a single qualifying action has occurred. BigPanda usage counts the number of incidents that have been actioned, but does not count individual actions. For detailed statistics on incident actions, see the Unified Analytics dashboards.
For details on pricing, events, or actioned incidents, refer to your BigPanda contract.
Widgets
The dashboard includes several widgets.
Each widget shows data based on the overall dashboard filters. Some widgets leverage a unique time or date-range setting and will not update with the overall dashboard.
| Widget Name | Explanation |
|---|---|
| # Total Events | The Total amount of Monitoring Events and Change Events received by BigPanda. Events are counted before deduplication, alert filtering, and suppression from maintenance plans within BigPanda. Events are not counted if they are filtered within the integration itself before reaching BigPanda. |
| Events Trend | A comparison of the Events from the previous day compared to the average amount of Events per day in the previous week. |
| # Actioned Incidents | The Total amount of Actioned Incidents. |
| # Actioned Incidents out of Total Incidents | The percentage of the total Incidents that became Actioned Incidents |
| Total Events Over Time | The trend of how many Events were ingested per hour/day/month. |
| Actioned Incidents Over Time | The trend of how many Incidents were marked as Actioned per hour/day/month. |
| Monitoring Events by Source System (Graph) | The number of events ingested for each of the top Source Systems. |
| Monitoring Events by Source System (Table) | A detailed breakdown of the number of events ingested per Source System. |
| Actioned Incidents by Source System (Graph) | The number of Actioned incidents for each of the top Source Systems. If an incident is associated with more than one Source System, it will be counted for each Source. |
| Actioned Incidents by Source System (Table) | A detailed breakdown of the number of Actioned Incidents per Source System. |
| Change Events by Source System (Graph) | (Only for organizations sending change data to BigPanda) The number of Change Events ingested for each of the top Source Systems. |
| Change Events by Source System (Table) | (Only for organizations sending change data to BigPanda) A detailed breakdown of the number of Change Events ingested per Source System. |
Updated 3 months ago