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Multivariate Anomaly Detection with ADX

Adi Eldar shows off multivariate anomaly detection in Azure Data Explorer:

Azure Data Explorer (ADX) is commonly used for monitoring cloud resources and IoT devices performance and health. This is done by continuous collection of multiple metrics emitted by these sources, and on-going analysis of the collected data to detect anomalies. The analysis is applied over time series of the relevant metrics in order to locate significant deviations of the metrics values relative to their typical normal baseline pattern.

Click through for a nice overview of the topic, including two different scenarios: one which emphasizes time series data and the other, which does not.