Abstract: Various embodiments described herein support or provide for alert monitoring of data (e.g., metric data) based on one or more recommended attribute values (e.g. dimension values), which can facilitate generation of alerts for the data based on detected anomalies. In particular, an embodiment can determine one or more recommended attribute values associated with data being analyzed for anomalies (e.g., metric data), select (or facilitate selection of) one or more of the recommended attribute values, configure alert monitoring for the data based on one or more selected attribute values, and enable the alert monitoring. Once enabled, the alert monitoring can trigger an alert in response to detecting one or more anomalies in the metric data associated with the one or more selected attribute values.

Abstract: Various embodiments described herein support or provide for anomaly detection in time series data (e.g., comprising measurement values for a metric of a monitored system) based on one or more incomplete matrix profiles.