Cloud services, complex applications, continuous deployment environments and the need to identify advanced security threats early each result in overwhelming volumes of data. It's a Big Data world and the monitoring and analytics approaches developed for last century's architectures just don't scale.
Prelert's automated anomaly detection analytics are highly scalable; super advanced and leverage 100% unsupervised machine learning algorithms to cut through millions of data points in seconds. You don't have to develop models, define thresholds or write and maintain extensive rules.
Point Anomaly Detective at your streaming data and discover behavioral changes as they develop and get the actionable cross-correlated insights you need to act on them quickly.