Abstract: A foldable guard rail assembly for a chassis of a vehicle, such as, e.g., mining and excavation vehicles, is provided. In one form, the rail assembly includes at least one guard rail and two or more support members having an upper end pivotally coupled to the at least one guard rail and an opposed lower end pivotally mountable to the chassis such that the two or more support members and the at least one guard rail are configured to be raised and lowered relative to the chassis between a folded position in which the two or more support members and the at least one guard rail are folded relative to the chassis and an operable position in which the two or more support members extend proud from the chassis with the at least one guard rail extending therebetween.

Abstract: Technologies are disclosed for migrating large amounts of data objects, e.g., billions of data objects, from a distributed data store to another data store or computing device. A method includes generating an inventory of the data objects in the distributed data store and dividing the inventory into multiple listings of data objects. Each data object is identified in only one corresponding listing. Manifests are generated based upon the listings. Each manifest is assigned to a corresponding portable storage device of a plurality of portable storage devices, and the data objects and listings are transferred, based at least in part, upon the manifests to the plurality of portable storage devices. The inventory of the data objects and the plurality of portable storage devices are provided to an entity associated with the another data store or computing device. The data objects are transferred from the plurality of portable storage devices to the another data store or computing device using the inventory.

Abstract: A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be the stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.

Abstract: A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be the stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.

Abstract: A device such as a network-attachable data transfer device may be configured to operate in a cluster to coordinate the storage of data. A cluster manifest may include data and/or metadata related to devices of the cluster. In some cases, a cluster manifest may include, for each of one or more devices of a cluster: an encrypted payload; an identifier associated with the particular device; and an encrypted data entry. The encrypted payload may encode a cryptographic payload key used in part to perform storage operations. The encrypted data entry may include one or more encrypted partitions that are each decryptable by a different security module of the device. The decrypted partitions may be assembled to form a cryptographic key that may decrypt the encrypted payload. The cluster manifest may be provided to a locked device of a cluster as part of a process for unlocking the locked device.

Abstract: A processing device receives a request to identify whether a file is a complete file. The processing device determines a first size of the file. The processing device determines whether the first size satisfies a size criterion. The processing device determines that the file is a complete file responsive to the determination that the first size satisfies the size criterion.

Abstract: A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.

Abstract: A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be the stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.

Abstract: A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be the stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.

Abstract: A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be the stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.