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Best Practices for Anomaly Detection (Intelligent Alerting) with SevOne



The environments IT and NetOps teams oversee today are larger and more complex; employing advanced load balancing and redundancy schemes to control and scale resources. Defining and maintaining static thresholds to measure and detect violations in this world becomes a burdensome task that simply doesn't scale or cover all the gaps.

The SevOne Network Data Platform provides a multi-dimensional policy based thresholding engine that enables teams to configure policies in three ways:

1. Static - Threshold conditions are compared to the current value of an indicator
2. Baseline - Threshold conditions are compared to the current value of the indicator's baseline value.
3. Slope - Threshold conditions calculate recent data points and look for variation in value to measure relative consistency; detecting significant changes in behavior over a short time.

In this webinar we focus on best practices showing you how to leverage SevOne to detect anomalies in your performance data using Baseline and Slope based thresholding. We'll show how you can quickly identify deviations from normal behavior that otherwise may not have violated a static thresholds.