Too many false positives! Traditionally, monitoring alerts are produced comparing metrics against thresholds to identify behavior outside the norm. This approach of metrics-based alert definitions often generates too many false positives that lead to wasted human time and effort or...
An Industry First: Anomaly Detection for Categorical Data in Real-Time thatDot is excited to share the general availability of the world’s first real-time categorical anomaly detector. Data Engineers, Developers, and Data Scientists can now generate a real-time score showing the...
Image Courtesy of jhmrad.com Cloud architectures enable and encourage a new level of integration with 3rd party systems and data sources to deliver the enriched and personalized services our users and customers are looking for. Today’s data-driven services place significant...
7 Minutes Read | [print_link] Imagine if the next time your video streaming operations dashboard-of-choice warns you that 100 users experienced video start failures in the last minute, it was only one click to see each of those sessions and...
