Abstract: Systems, methods, and computer-readable storage media configured to predict future system failures are disclosed. Performance metrics (e.g., key performance indicators (KPIs)) of a system may be monitored and machine learning techniques may utilize a trained model to evaluate the performance metrics and identify trends in the performance metrics indicative of future failures of the monitored system. The predicted future failures may be identified based on combinations of different performance metrics and the impact that the performance metric trends of the group of different performance metrics will have on the system in the future. Upon predicting that a system failure will occur, operations to mitigate the failure may be initiated. The disclosed embodiments may improve overall performance of monitored systems by: increasing system uptimes (i.e.

Abstract: Systems, methods, and computer-readable storage media configured to predict future system failures are disclosed. Performance metrics (e.g., key performance indicators (KPIs)) of a system may be monitored and machine learning techniques may utilize a trained model to evaluate the performance metrics and identify trends in the performance metrics indicative of future failures of the monitored system. The predicted future failures may be identified based on combinations of different performance metrics and the impact that the performance metric trends of the group of different performance metrics will have on the system in the future. Upon predicting that a system failure will occur, operations to mitigate the failure may be initiated. The disclosed embodiments may improve overall performance of monitored systems by: increasing system uptimes (i.e.