System and method for statistical application-agnostic fault detection in environments with data trend

摘要

Statistical application-agnostic fault detection of multi-process applications in environments with data trend includes at least one of: a multi-process application that runs on a host. Statistical events are collected and sent to a statistical fault detector. The statistical fault detector creates one or more distributions and compares recent statistical event data to historical statistical event data and uses deviation from historical norm for fault detection. If needed, trend is removed from event data prior to the creation of distributions. Faults are detected within the application and within the environment wherein the application executes, if conditions within the environment cause impaired application performance.