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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 save us time and give us peace of mind, because we know we’re not going to miss something due to a threshold being slightly too high or too low. In addition, dynamic thresholds detect behavioural deviance, which often occurs at a level below static thresholds,” said Wania Konageski, global digital service platform architect at Logicalis. “As a result of these enhancements, we now receive early warnings that strengthen our proactive and preventative capabilities. LogicMonitor’s AIOps capabilities are instrumental to our vision, as an MSP, of providing continuous uptime and a seamless experience to customers.”
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.”
