The challenge
The system had to distinguish an actual failure from a transient issue, preserve an audit trail, and make the next action obvious.
Selected work
A monitoring system built to find failure before a user does
Production system
A critical platform workflow needed consistent oversight without constant manual checking.
What we built
A Python monitoring service with persistent checks, structured incident records, retry logic, and actionable alerts.
Evidence and limits
Automatic checks, a saved history of problems and alerts that tell a person what needs attention.
How the monitoring runs
ScheduleCheck runnerStatus storeAlertOperator review
This is the implemented monitoring process.