Staging data on a storage element integrating fast durable storage and bulk durable storage, including: receiving, at a storage element integrating fast durable storage and bulk durable storage, a data storage operation from a host computer; storing data corresponding to the data storage operation within fast durable storage in accordance with a first data resiliency technique; and responsive to detecting a condition for transferring data between fast durable storage and bulk durable storage, transferring the data from fast durable storage to bulk durable storage in accordance with a second data resiliency technique.

A method for efficient reads by reconstruction may determining an expected read latency for reading data from a primary read location of a plurality of storage devices, determining an expected reconstruction latency for reconstructing the data using reconstruction data, wherein portions of the reconstruction data are stored at a plurality of alternative read locations of the plurality of storage devices, reading the portions of the reconstruction data from the plurality of alternative read locations of the plurality of storage devices, and reconstructing the data stored at the primary read location using the reconstruction data, wherein the expected reconstruction latency is lower than the expected read latency.

Expandable cache management dynamically manages cache storage for multiple network shares configured in a file server. Once a file is written to a directory or folder on a specially designated network share, such as one that is configured for “infinite backup,” an intermediary pre-backup copy of the file is created in an expandable cache in the file server that hosts the network share. On write operations, cache storage space can be dynamically expanded or freed up by pruning previously backed up data. This advantageously creates flexible storage caches in the file server for each network share, each cache managed independently of other like caches for other network shares on the same file server. On read operations, intermediary file storage in the expandable cache gives client computing devices speedy access to data targeted for backup, which is generally quicker than restoring files from backed up secondary copies.

Data associated with storage media utilized by one or more storage systems is received. The data is provided as an input to a machine learning model executed by a processing device. The machine learning model identifies one or more deterministic characteristics from the data. The one or more deterministic characteristics associated with the storage media are received from the machine learning model. A data structure comprising the one or more deterministic characteristics is generated for use in a telemetry process to qualify types of storage media.

A unique identifier is stored in shared data storage that is accessible to at least a first virtual storage processor and a second virtual storage processor within a virtual storage appliance. The unique identifier is generated when the virtual storage appliance is first started up, and then used by the first virtual storage processor to obtain at least one Internet Protocol (IP) address for use by a management stack that initially executes in the first virtual storage processor. In response to failure of the first virtual storage processor, the unique identifier is used by the second virtual storage processor to obtain, for use by the management stack while the management stack executes in the second virtual storage processor after the failure, the same IP address obtained by the first virtual storage processor.

A storage system includes a first node mounting two controllers. The two controllers of the first node are subjected to setting of redundancy such that the two controllers belong to differing redundancy groups, respectively. When a configuration change is requested due to addition of a second node mounting one controller to the storage system, the second node sets the controller of the second node belongs to a redundancy group to which either of the two controllers of the first node belongs, and the first node changes the setting of redundancy such that setting information on the redundancy group of either of the two controllers of the first node does not change; and deactivates a controller of the first node for which the setting information on the redundancy group changes as a result of a change in the setting of redundancy.

Staging data on a storage element integrating fast durable storage and bulk durable storage, including: receiving, at a storage element integrating fast durable storage and bulk durable storage, a data storage operation from a host computer; storing data corresponding to the data storage operation within fast durable storage in accordance with a first data resiliency technique; and responsive to detecting a condition for transferring data between fast durable storage and bulk durable storage, transferring the data from fast durable storage to bulk durable storage in accordance with a second data resiliency technique.

Various embodiments are directed to techniques for coordinating at least partially parallel performance and cancellation of data access commands between nodes of a storage cluster system. An apparatus may include a processor component of a first node coupled to a first storage device storing client device data; an access component to perform replica data access commands of replica command sets on the client device data, each replica command set assigned a set ID; a communications component to analyze a set ID included in a network packet to determine whether a portion of a replica command set in the network packet is redundant, and to reassemble the replica command set from the portion based if the portion is not redundant; and an ordering component to provide the communications component with set IDs of replica command sets of which the access component has fully performed the set of replica data access commands.

Data associated with storage media utilized by one or more storage systems is received. The data is provided as an input to a machine learning model executed by a processing device. The machine learning model identifies one or more deterministic characteristics from the data. The one or more deterministic characteristics associated with the storage media are received from the machine learning model. A data structure comprising the one or more deterministic characteristics is generated for use in a telemetry process to qualify types of storage media.

In various embodiments, a method for page cache management is described. The method can include: identifying a storage device fault associated with a fault-resilient storage device; determining that a first region associated with the fault-resilient storage device comprises an inaccessible space and that a second region associated with the fault-resilient storage device comprises an accessible space; identifying a read command at the second storage device for the data and determine, based on the read command, first data requested by a read operation from a local memory of the second storage device; determining, based on the read command, second data requested by the read operation from the second region; retrieving the second data from the second region; and scheduling a transmission of the second data from the fault-resilient storage device to the second storage device.