Abstract: A system receives a request for a data block, in which the data block corresponds to a set of fragments, and the data block can be fully reconstructed using a threshold number of the set of fragments. A first subset of the set of fragments are stored in a first storage system, and a second subset of the set of fragments are stored in a second storage system characterized by a higher average latency than the first storage system. A system, responsive to receiving the request for the data block, requests the first subset of the set of fragments. A system receives at least the threshold number of the first subset of the fragments. A system reconstructs the data block using the received fragments of the first subset of the fragments. A system provides the reconstructed data block.

Abstract: The system obtains performance signals associated with respective hard disks of a volume of hard disks including a plurality of hard disks that are dedicated to activities of a service. The system determines a volume failure prediction for the volume of hard disks by, for each respective hard disk of the volume of hard disks, determining a hard disk failure prediction. The system determines a hard disk failure prediction by: inputting the respective performance signals into a supervised machine learning model; and receiving as output from the machine learning model the hard disk failure prediction for the respective hard disk. The system based on the received outputs, determines that the volume failure prediction is associated with a migration condition. The system, responsive to determining that the volume failure prediction is associated with the migration condition, migrates data from the volume of hard disks to a second volume of hard disks.