Abstract: Techniques and structures to facilitate anomaly detection within a networking system, including retrieving performance metric messages generated at a server, transmitting a compute request including the performance metric messages to a database system to perform an anomaly detection computation, retrieving data resulting from the anomaly detection computation and publishing the data resulting from the anomaly detection computation, wherein the anomaly detection computation comprises executing a machine learning model to process the performance metric messages to determine whether anomalous usage of the system has been detected.