Systems Administrator
Alive learns the normal behavior of your environment at the device/metric level, eliminating the need for setting static threshold for alerting.
To support your traditional monitoring solutions event-centric alerting, you must set static thresholds for various performance metrics across the silos of technology that deliver your mission critical applications and services. You try to maintain them as your business, applications and infrastructure change, but regardless of the time and effort you put in, your manually set static thresholds
end up generating large numbers of alerts, the vast majority false positives that don’t indicate a real problem. Your constantly playing a balancing game, raising or lowering thresholds to reduce the volume of alerts while ensuring you don’t miss real problems. Let’s face facts – managing static thresholds in your dynamic environment is impossible.
Alive uses sophisticated analytics to determine the normal behavior of your infrastructure at the device/metric level. While other tools simply assume a specific distribution of data (i.e., normal distribution) and alert on any deviation (resulting in large numbers of false positives), Alive competes multiple algorithms to establish normal behavior. These algorithms take into consideration many types of metric behaviors, including cyclical and calendar events. This process is called Dynamic Thresholding and Alive’s algorithms adapt to your changing environment automatically. Alive then correlates abnormal behaviors across the entire infrastructure automatically and in real-time, to identify building performance problems. You get a single alert in the context of the building performance problem with complete root cause identification. You’ll receive significantly less alerts that get you to the problem quicker. The need for static threshold setting and maintenance is eliminated.
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