guanyuan-monitor

You can automate metric monitoring by defining configurable monitors that target Guanyuan dashboard cards and trigger DingTalk alerts when metrics violate threshold, change_rate, or range rules. Scheduled or on-demand checks detect anomalies like sudden GMV drops.

Supported rule types for metric monitoring include threshold checks, change_rate (环比/同比) comparisons, and range rules. These rule types capture common anomaly patterns like operational threshold breaches and rate-of-change deviations in analytics platforms.

Yes, you can use the optional dry-run mode to safely test monitor definitions and rule violations without dispatching actual alerts. This verifies threshold and change_rate rules against dashboard card metrics before enabling live DingTalk notifications.

Metric monitoring can be run using scheduled or on-demand checks against your configured monitors. By setting up the scheduler, you can perform hourly checks on GMV and conversion metrics to detect sudden drops and notify on-call engineers.

Yes, configurable monitors allow you to target specific Guanyuan dashboard cards and metric fields with arbitrary filters. This filtered metric data is then evaluated against your defined threshold, change_rate, or range rules.

The change_rate rule type is designed to detect rate-of-change anomalies by evaluating metric data fetched from Guanyuan dashboard cards. It compares current values against historical data to identify sudden deviations and trigger alerts.