Proactive Monitoring with AIOps Early Warning System

Proactive Monitoring with AIOps Early Warning System

Boost your efficiency and eliminate manual efforts with actionable alerts that identify anomalies. With LogicMonitor’s AIOps Early Warning System teams can proactively prevent problems instead of reacting to them and therefore minimize downtime and slow downs that may negatively affect their business.

Video Transcription

Looking to proactively prevent downtime with early performance and availability warnings? You need a solution that can surface issues before they result in even bigger business problems.

LogicMonitor’s AIOps early warning system intelligently detects signal from noise from monitored resources with dynamic thresholds and forecasting, helping you identify what’s truly important and in need of your attention. These signals are then made more actionable with features like root cause analysis that help you resolve issues faster.

Dynamic thresholds use LogicMonitor’s advanced anomaly-detection algorithms to detect a resource’s expected range, based on past performance. Expected ranges are used to recognize when anomalies occur and warn you accordingly.

Dynamic thresholds can catch anomalies and metric values, metric rates of change, and even metric patterns, such as an unusual drop in traffic. Dynamic thresholds can be used to reduce the noise resulting from improperly tuned static thresholds so you have less distractions and more of the information you need.

With root cause analysis, the platform uses automatically discovered relationships between monitored resources to identify the root cause for triggered alerts and notify you of the originating issue. It automatically prevents notifications for dependent resource alerts. When a core or root device goes down and affects connectivity for downstream devices, root cause analysis kicks in. It identifies the originating and dependent resources and subsequent alerts, and disables notifications for those dependent resources.

LogicMonitor’s AIOps data forecasting capabilities allow IT teams to predict future trends for monitored infrastructure using past performance as the basis.

If you’re not familiar with forecasting yet, get ready! It helps IT teams with issue diagnosis and mitigation and helps determine whether an alert represents a one-time anomaly, requires immediate attention, or will require attention in the near future. Ready to start reducing MTTR and proactively identify and resolve issues? Check out today.