Metric Configuration

IEM enables users to configure how the system evaluates incoming metric data to determine whether an anomalous event should be raised. Users can apply filters based on specific fields and define conditions for identifying deviations from either manually configured thresholds or AI/ML-derived thresholds.

When a metric value exceeds the defined threshold criteria, the system automatically raises an anomaly event to notify the customer.

Thresholds for anomaly detection can be:
  • Manually configured by the user
  • Automatically derived using AI/ML models or user can opt Save metric data to db without any processing
  • If incoming metric data does not match any configured filter criteria, it will be disqualified and will not be stored in the system.