Abstract: Systems and methods for improving efficiency in performing service actions for one or more storage systems are described. In one embodiment, the systems and methods include detecting a service event on at least one of one or more storage systems based at least in part on monitoring events on the one or more storage systems, creating a service action based at least in part on detecting the service event, adding the service action to a list of pending service actions associated with the one or more storage systems, and assigning one or more service actions from the list of pending service actions to a service window. In some cases, each service event in the list of pending service events represents an adverse condition awaiting repair in relation to at least one of the one or more storage systems.

Abstract: Systems and methods for improving efficiency in performing service actions for one or more storage systems are described. In one embodiment, the systems and methods include detecting a service event on at least one of one or more storage systems based at least in part on monitoring events on the one or more storage systems, creating a service action based at least in part on detecting the service event, adding the service action to a list of pending service actions associated with the one or more storage systems, and assigning one or more service actions from the list of pending service actions to a service window. In some cases, each service event in the list of pending service events represents an adverse condition awaiting repair in relation to at least one of the one or more storage systems.

Abstract: Systems and methods for a self-learning event response engine of systems are described. In one embodiment, the systems and methods may include identifying two or more patterns of events among a plurality of detected events stored in a database, identifying an adverse condition of the storage system that occurs as a result of a particular pattern of events from the identified patterns of events, identifying a corrective action that resolves the adverse condition of the storage system, detecting an occurrence of one or more events from the particular pattern of events, and implementing the corrective action based at least in part on detecting the occurrence of the one or more events from the particular pattern of events.

Abstract: A split proxy is configured for managing asynchronous MAPI communications between a client and a server by establishing a queuing structure for MAPI messages that make up the communications. The MAPI messages are subsequently exchanged between the client and the server using the queuing structure. Multiple remote procedure calls (RPCs) underlying the MAPI messages may be grouped together in batches for exchange between proxies of the split proxy. Also, when the client logs off from the server, a MAPI keep-alive process allows updates received at the server to be pre-populated to the split proxy for transfer to the client when it reestablishes a connection.

Abstract: A split proxy is configured for managing asynchronous MAPI communications between a client and a server by establishing a queuing structure for MAPI messages that make up the communications. The MAPI messages are subsequently exchanged between the client and the server using the queuing structure. Multiple remote procedure calls (RPCs) underlying the MAPI messages may be grouped together in batches for exchange between proxies of the split proxy. Also, when the client logs off from the server, a MAPI keep-alive process allows updates received at the server to be pre-populated to the split proxy for transfer to the client when it reestablishes a connection.