We want to expose metrics per table about the type of operation performed:

• insert
• delete
• update

These metrics can be used to detect data mutation patterns and, by integrating with analytics tools, teams can build detailed activity dashboards that reveal the volume and nature of operations per table. These insights are invaluable for identifying unexpected patterns, such as a sudden drop in inserts caused by a new micro services deployment with a bug.

Proof of concept demo
https://github.com/mfvitale/debezium-examples/tree/db_activity_monitoring
https://github.com/mfvitale/debezium/tree/db_activity