VictoriaMetrics Anomaly Detection Reviews & Product Details

VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.

VictoriaMetrics is the company behind the open source time series database of the same name. Founded in Kyiv, Ukraine, now globally led and headquartered in the US, VictoriaMetrics is the scaleup leader in the category of open source time series database monitoring. The VictoriaMetrics management team came together following successful careers at Google, Lyft and Cloudflare to solve the hard problems around very large, constantly changing data types which they themselves had encountered. VictoriaMetrics now boasts 400+ million downloads and customers include Roblox, Grammarly and Wix.