Services keep changing, and the monitors you built will eventually stop fitting. On each patrol, AI reviews your whole monitoring setup at the interval you set, and maintains only what needs it. Everything it does is kept on record.
Reviewing monitors and database descriptions.
Updated the description, 2 monitors, and 1 memory. The other monitors fit the service as it is now.
Monitors you built have quietly drifted out of step with reality
Monitors no one uses anymore keep generating noise
There's no time to review your monitoring
Checks whether each query, collection interval, judgment interval, and description still fits the service as it is now, and fixes them if not. Missing monitors get added.
Monitors no longer needed, such as those on unused tables or finished campaigns, are deleted.
If the schema has changed, AI rebuilds its understanding of what system the database is and where its core lies.
Rewrites stale entries and deletes ones that were wrong.
It only touches what needs it. Each patrol records what was reviewed.
Rereads the schema and brings the database description up to date.
Fixes queries, intervals, descriptions, and chart styles.
Deletes monitors that have served their purpose.
Rewrites and deletes entries.
All you need is a database connection string or an account connection. Nothing to install on your servers.
Choose the patrol interval
On the Patrol page, set how many hours apart patrols run.
AI reviews
At the interval you set, AI reviews your whole monitoring setup.
Check the record
What was reviewed and what was changed is kept on the Patrol page.
Schema changes
Bring new tables into monitoring
When a new feature adds tables, the patrol rebuilds the database description and reworks monitors as needed.
Campaign ended
Retire monitors no longer in use
Monitors that have served their purpose, like sign-ups for a finished campaign, are deleted by AI.
AI monitor design
AI reads your schema and real data to design what to watch, how often to collect it, and how often to judge it.
Project memory
Facts found in investigations and business context are recorded and used in every later judgment and investigation.
Anomaly detection
AI judges whether something is abnormal based on value trends, past alerts, and your project's memory.
Leave monitoring maintenance
to AI, too.
The patrol interval can be set per project, and every change is kept on record.