Abstract: A data storage management system for managing a plurality of remotely located, independent data storage systems includes a central monitoring system and a plurality of agent systems, each in communication with a respective remotely located customer data storage system. Each remote agent system collects data from a respective customer data storage system that relates to the performance/status of the data storage system. Each agent system converts the collected data to a standardized format and then stores the collected data at the central monitoring system. The central monitoring system continuously and automatically monitors activities at the remote data storage systems and, using pattern recognition and data correlation techniques, can predict when system faults are developing at these remote data storage systems. Data storage management experts staffing the command center can initiate corrective action before a customer's data is adversely impacted.

Abstract: Agent-less data storage management systems, methods and computer program products are provided and include a central data repository, a raw data processor (RDP), a management appliance, and problem identification logic. The RDP collects raw, unformatted metadata directly from remote data storage systems, transforms the collected metadata to a standardized format, and stores the transformed metadata in the central data repository. The RDP collects metadata from remote data storage systems without the use of agents executing at each remote data storage system. The management appliance implements corrective action and configuration changes at each data storage system, and makes configuration changes at each data storage system without the use of agents executing at each remote data storage system. Problem identification logic reviews metadata collected by the RDP, identifies problems at remote data storage systems that require resolution, and initiates corrective action.

Abstract: A data storage management system for managing a plurality of remotely located, independent data storage systems includes a central monitoring system and a plurality of agent systems, each in communication with a respective remotely located customer data storage system. Each remote agent system collects data from a respective customer data storage system that relates to the performance/status of the data storage system. Each agent system converts the collected data to a standardized format and then stores the collected data at the central monitoring system. The central monitoring system continuously and automatically monitors activities at the remote data storage systems and, using pattern recognition and data correlation techniques, can predict when system faults are developing at these remote data storage systems. Data storage management experts staffing the command center can initiate corrective action before a customer's data is adversely impacted.