LogicMonitor, a cloud-based provider of IT infrastructure monitoring and intelligence software has made enhancements to its AIOps early warning system, which detects warning signs and symptoms that precede issues, helping enterprises prevent outages.
LogicMonitor’s dynamic thresholds intelligently alert IT teams based on historical performance and newly refined algorithms to help businesses save time, avoid alert fatigue, and surface anomalies sooner to proactively prevent downtime.
With the introduction of seasonality support, LogicMonitor’s dynamic thresholds now detect patterns in performance and ensure alerts are triggered for anomalies outside of those patterns. The new rate of change algorithms, added as part of this July 2020 enhancement, detects anomalies in the rate at which a metric value is changing as compared to its normal pattern, to enable users to identify issues before they result in a negative impact to the business.
LogicMonitor’s dynamic thresholds use historical performance to generate an expected range for resources, and alert on anomalies that exceed this expected range. Dynamic thresholds significantly reduce alert noise by silencing notifications for static threshold-generated alerts corresponding to normal performance within the expected range.
“If static thresholds are not set or tuned well, dynamic thresholds will ensure alerts are triggered and silenced appropriately. If static thresholds are tuned well and enabled, dynamic thresholds will still defer to them,” said Tej Redkar, chief product officer at LogicMonitor. “The addition of dynamic thresholds seasonality and rate of change support to the existing anomaly detection, forecasting, and root cause analysis features of LM Intelligence mean that LogicMonitor customers now have access to the most advanced AIOps capabilities in the market.”
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