Discover how OpManager’s anomaly detection captures and visualizes performance deviations across your network for clear insights and analysis, enabling predictive IT monitoring and better network downtime prevention.
Networks generate massive amounts of performance data every minute. While threshold-based alerts are useful, they often miss the early signs of trouble—sudden spikes in latency, unexpected packet loss, or irregular usage patterns—that don't immediately breach limits. These subtle deviations, called anomalies, are often the precursors to catastrophic downtime.
OpManager’s anomaly detection feature addresses this gap by continuously analyzing device and group performance data, identifying deviations in real time, and classifying them by their severity. This proactive approach enables IT teams to catch issues early, troubleshoot faster, and ensure uninterrupted service delivery.
Anomaly detection in OpManager records behavioral shifts by refreshing anomaly data every hour, independent of the polling interval. This predictive IT monitoring means even short-lived spikes or irregularities are recorded with timestamps, giving admins complete visibility into when and where issues begin.
Unlike manual configurations, the anomaly detection feature automatically adapts to changes in device monitors, such as adding or removing metrics, ensuring accuracy without extra effort. With this, IT teams gain a reliable, always updated perspective on performance health.
With AI/ML-based advanced anomaly detection, you can:
At the device level, anomalies are logged with a detailed history for locating the root cause. At the group level, they are aggregated to help IT teams understand the wider impact on business-critical services. From the Anomaly Summary page under the Alarms tab, users can deploy multiple filters such as the business view and category to filter the data.
The exclusive anomaly dashboard delivers a clear, visual summary of anomalies across your infrastructure. By categorizing deviations as Attention, Trouble, or Critical, it helps you prioritize responses instantly. From recent anomalies with expected versus actual values to long-term trends and the top devices or groups affected, the dashboard turns complex data into actionable insights. Using the export to PDF option, you can generate the data as a report from the dashboard. Also, you can create custom dashboards using the anomaly widgets.
The anomaly dashboard provides:
Unlike other monitoring tools that require configuration or tuning, anomaly detection in OpManager is enabled out of the box. From the moment deployment is complete, the tool begins tracking anomalies automatically, giving you proactive insights without any setup. This means faster adoption, quicker troubleshooting, and less downtime risk.
Downtime doesn't happen suddenly; it builds through patterns that go unnoticed until it's too late. With AI/ML-based anomaly detection, OpManager ensures those patterns are visible, actionable, and resolved before they affect end users. By combining threshold monitoring with continuous anomaly tracking, OpManager equips IT teams to move from reactive troubleshooting to proactive performance management.
Try OpManager's free, 30-day trial and discover how the early detection of anomalies can help you optimize your network performance.





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