- Demonstrate human-like anomaly identification
- Ease data source configurability
- Visualize and monitor the anomaly scores of streaming metrics
- Create actionable alerts using Anomaly Score Aggregation across streams
How does it work?
Plug in your data source by clicking on "Create New Detection", either by linking to a port or URL and also option by pointing to the Data Source from Data Catalog.
Configure & save metrics
Process data in realtime
Select the type of “Alert”, “Tags” and “Time Window” and provide “E-mail" to track and monitor
Filter based on the “data” selected & “metric” configured
Leverage the power of self-learning (like humans) to identify anomaly patterns and differentiate between normal activity and anomalies