Use Cases

There are two types of Volume monitors available, Change in row count and Time since last change in row count.

Change in row count monitors address the following use cases:

  • Alert if a size change for a table is unusually large or small. For example, if a table normally adds 3,000 - 5,000 rows per day, but suddenly adds 20,000.
  • Alert if the row count decreases, for a table where decreases are rare.

Time since last change in row count monitors address use cases like:

  • Alert if a table has gone unusually long without a change in size. For example, if a table normally increases in size every 3 hours, but has gone 7 hours without a size change.

Interacting with Volume Monitors

Volume monitors are managed from Assets. From theΒ VolumeΒ section on the Assets > Summary page, users can see the current threshold, adjust the sensitivity, switch to a manual threshold, or disable volume monitoring from the Volume widget.

The Volume section on Assets > Summary

The Volume section on Assets > Summary

ClickΒ Edit thresholdΒ to adjust the alert threshold:

Users can select between automated or explicit (manual) thresholds, or choose to disable volume monitoring. For automated thresholds, users can select between low, medium, and high sensitivity. Learn more about how the machine learning for volume worksΒ here.

For explicit thresholds, users must indicate an alert condition and how often the check should run.

Notifications

For purposes of routing notifications, the alerts from Volume monitors areΒ volume anomalies, of which there are three subcategories:

  • Size increase and size decrease: these are generated by the Change in row count monitor
  • Unchanged size: these are generated by the Time since last change in row count monitor

To configure notifications for volume anomalies:

  • Go to Settings > Notifications
  • Create or find the audience you'd like to send notifications to, and click the (+) in the Other notifications column
  • Under Alert types, select the desired alert types
  • Filter for the desired data using the Affected data and Table importance sections