Data center monitoring and management operation for data unavailable/data loss (du/dl) predictions, including service level agreement (sla) failure prediction

Abstract

A system, method, and computer-readable medium for performing a data center management and monitoring operation to predict event failures, comprising taking time stamped telemetry metrics of data asset clusters; sampling the time stamped telemetry metrics; separating the sampled time stamped telemetry metrics into groups based on metric functionality; providing data of the groups into a residual neural network to learn patterns of the three groups; and concatenating output of the residual neural network of the groups, wherein concatenated output is feed back to the residual neural network to learn relationships of the three groups.