Abstract: Methods, systems, and computer-readable media (transitory or non-transitory) are described herein for automatic backup and replacement of a storage device. According to an example, a storage failure for given storage device may be predicted. A backup process of the give storage device to a remote system may be initiated based on predicting the storage failure for the given storage device. The backup process may create a one-to-one image backup or a user data backup based on a predicted amount of time until the storage failure of the given storage device. A restore process of a new storage device at the remote system may be initiated upon completion of the backup process. The restore process may depend on the backup created during the backup process and/or various types of new storage devices that are available. The new storage device may be based on the given storage device.

Abstract: Methods, systems, and computer-readable media (transitory or non-transitory) are described herein for automatic backup and replacement of a storage device. According to an example, a storage failure for given storage device may be predicted. A backup process of the give storage device to a remote system may be initiated based on predicting the storage failure for the given storage device. The backup process may create a one-to-one image backup or a user data backup based on a predicted amount of time until the storage failure of the given storage device. A restore process of a new storage device at the remote system may be initiated upon completion of the backup process. The restore process may depend on the backup created during the backup process and/or various types of new storage devices that are available. The new storage device may be based on the given storage device.

Abstract: An example of a server including a communication interface to receive telemetry data from a plurality of client devices. The telemetry data is to indicate a health of a client device from the plurality of client devices. The server further includes a prediction engine to process the telemetry data to determine the health of the client device with a prediction model to identify a hardware issue at the client device. The server also includes a diagnostic evaluator in communication with the prediction engine. The diagnostic evaluator is to request a local confirmation of the hardware issue from the client device upon identification of the hardware issue by the prediction engine. The local confirmation is determined at the client device via a diagnostic engine. The server also includes a reporter to report the hardware issue upon receipt of the local confirmation.

Abstract: An example of an apparatus including a memory storage unit to store a local set of troubleshooting solutions. The apparatus further an administration engine to communicate with a first network. The administration engine is to manage a service subscription. The apparatus also includes a communication interface to communicate with a peer device. The peer device is part of a second network separate from the first network. The apparatus also includes an authentication engine to authenticate the peer device to establish a link with the peer device to access a peer set of troubleshooting solutions. In addition, the apparatus includes a diagnostic engine to collect diagnostic data to identify an issue. The diagnostic engine selects a solution from the local set of troubleshooting solutions and the peer set of troubleshooting solutions based on the diagnostic data. The apparatus includes a repair engine to implement the solution.

Abstract: An example of a server including a communication interface to receive telemetry data from a plurality of client devices. The telemetry data is to indicate a health of a client device from the plurality of client devices. The server further includes a prediction engine to process the telemetry data to determine the health of the client device with a prediction model to identify a hardware issue at the client device. The server also includes a diagnostic evaluator in communication with the prediction engine. The diagnostic evaluator is to request a local confirmation of the hardware issue from the client device upon identification of the hardware issue by the prediction engine. The local confirmation is determined at the client device via a diagnostic engine. The server also includes a reporter to report the hardware issue upon receipt of the local confirmation.