US Patent 10127125 Application monitoring and failure prediction

Data from an application is analyzed periodically in real-time using a predictive data model to predict potential application failures. Application logs are used to build the predictive data model. The predictive data model includes features created from the application logs which are good predictors of application failures. The predictive data model analyzes and provides anomaly scores for various anomalies for the real-time data collected over a time period. The anomaly scores are compared with a threshold score to predict the probability of occurrences of application failures. If there is a higher probability of occurrence of an incident of application failure, corrective actions to mitigate or reduce the probability of occurrence of the application failure are implemented.