ANOMALOUS EVENT DETECTION BASED ON METRICS PERTAINING TO A PRODUCTION SYSTEM

摘要

A machine may be configured to detect an anomalous event based on metrics pertaining to a production system. For example, the machine analyzes a time series of values associated with a metric pertaining to a production system. The machine identifies a pattern associated with the time series based on the analysis of the time series. The pattern may describe an occurrence of particular values at particular timestamps of the time series. The machine determines a range of potential values for a next timestamp in the time series based on the pattern. The machine assigns a score value to an actual value associated with the metric and corresponding to the next timestamp. The assigning of the score value may be based on a comparison of the actual value and the range of potential values. The machine identifies the actual value as a candidate for an alert based on the score value.

主权项

1. A method, comprising:
analyzing, by a machine including a memory and at least one hardware processor, a time series of values associated with a metric pertaining to a production system; identifying a pattern associated with the time series based on the analysis of the time series, the pattern describing an occurrence of particular values at particular timestamps of the time series; determining a range of potential values for a next timestamp in the time series of values based on the pattern associated with the time series; assigning a score value to an actual value associated with the metric and corresponding to the next timestamp in the time series, the assigning of the score value being based on a comparison of the actual value and the range of potential values; and identifying the actual value as a candidate for an alert based on the score value assigned to the actual value.