Data storage management may include configuring a stretched volume in a metro cluster configuration using a first volume and a second volume both configured as a same logical volume, L1; receiving I/O operations at the metro cluster configuration directed to L1, wherein the I/O operations include a write operations that are received at a first system of the metro cluster configuration and that write first data to the first volume; viewing values of a metric regarding data replication performed for the first volume to replicate data between systems of the metro cluster configuration for writes directed to the first volume; responsive to said viewing, determining whether the first metric values denote a problem has occurred in the metro cluster configuration at a first point in time; and responsive to determining that the problem has occurred at the first point in time, performing one or more corrective actions.

Consumer threads can assist in performing progressive chunking for a data queue. For example, a consumer thread can determine a current-chunk identifier indicating a current memory chunk of an unbounded queue, where the current memory chunk is associated with a producer thread that is different from the consumer thread. The consumer thread can determine a target-chunk identifier indicating a target memory chunk to which the producer thread is to write a data item. In response to determining that the target-chunk identifier is greater than the current-chunk identifier, the consumer thread can append a new memory chunk to the unbounded queue for use as the target memory chunk by the producer thread.

An apparatus in one embodiment comprises at least one processing device comprising a processor coupled to a memory. The processing device is configured to identify at least first and second datasets to be scanned to generate a data reduction estimate for a prospective combination of the first and second datasets, to designate a scan criterion to be utilized in the scan of each of the datasets, and for each of a plurality of pages of each of the datasets, to scan the page, where scanning the page comprises performing a computation on the page to obtain a page result, determining whether or not the page result satisfies the designated scan criterion, and responsive to the page result satisfying the designated scan criterion, updating a corresponding entry of a data reduction estimate table for the dataset. The processing device merges contents of the data reduction estimate tables, and generates the data reduction estimate based at least in part on the merged contents.

A processing device, operatively coupled with a memory component, is configured to provide a plurality of virtual memory controllers and to provide a plurality of physical functions, wherein each of the plurality of physical functions corresponds to a different one of the plurality of virtual memory controllers. The processing device further presents the plurality of physical functions to a host computing system over a peripheral component interconnect express (PCIe) interface, wherein each of the plurality of physical functions corresponds to a different virtual machine running on the host computing system, and manages input/output (IO) operations received from the host computing systems and directed to the plurality of physical functions, as well as background operations performed on the memory component, in view of class of service parameters associated with the plurality of physical functions.

Methods for backup and recovery are disclosed. The method includes determining, based on attributes of at least one of one or more files included in data to be backed up, priorities of data blocks associated with the at least one file and storing the data to be backed up and indications of the determined priorities of the data blocks to a second storage device. The methods may determine data blocks that are more important for recovery while backing up data, so that backup data can be recovered faster in future.

Disclosed is a system for storage management comprising: receiving capacity information within a predetermined time period from a plurality of storage in a first appliance pool and a second appliance pool, each having a plurality of storage systems; tracking a first capacity limit of the first storage system in the first appliance pool based on the capacity information; performing a first capacity prediction of the first storage system based on the tacked result of the first storage system, wherein the first capacity prediction indicating when the first storage system will be out of space based on the capacity information and the tracked result; generating a first recommendation indicating when an extra capacity of the first storage system should be added based on one or more attributes including the first capacity prediction; and presenting the first recommendation with one or more options.

A method of operating a computing device for processing data is provided. The method includes (a) monitoring a set of performance characteristics of the processing of the data; (b) periodically calculating, using a predefined set of coefficients, a linear combination of the monitored set of performance characteristics to yield a combined metric; and (c) upon detecting that the combined metric exceeds a threshold while operating in a first processing mode, transitioning from operating in the first processing mode to operating in a second processing mode. (1) The second processing mode has a higher bandwidth than the first processing mode, and (2) processing of data in the second processing mode is less robust than processing of data in the first processing mode. An apparatus, system, and computer program product for performing a similar method are also provided.

Techniques for storing data involve estimating a hit ratio of a digest cache associated with a target storage device, the digest cache recording a digest of data that is stored in the target storage device after preprocessing; generating, according to a determination that the hit ratio is lower than a predetermined threshold, a digest for target data to be stored and performing the preprocessing; and storing, according to a determination that the digest of the target data is missing in the digest cache, the preprocessed target data in the target storage device, and recording the digest of the target data in the digest cache. Such techniques can achieve good system performance in both cases of high data repetition and low data repetition.

A storage manager control application facilitates interactions with, and configurations of, a storage manager that manages one or more client computing devices of an information management system. The storage manager control application may be implemented using a variety of modules that allow a user to interact with the storage manager in various ways. Using the storage manager control application, a user may view a backup status of the information management system, and view the backup status of specific client computing devices that are managed by the storage manager. The user may also search for various entities and/or objects within the information management system using the storage manager control application. In addition, a user may view the status of one or more backup jobs configured within the information management system, as well as backup plans that have been established for one or more of the client computing devices.

Storage can be allocated to workspaces in a ZFS-based environment. Workspaces can be associated with a workspace weightage. When a workspace is deployed on a client computing device, its workspace weightage can be used to determine an initial quota for a dataset to be created in a zpool for the workspace. The initial quota can be used to determine the size of the dataset. The workspace weightage may also be used to determine an expansion quota and a contraction quota that can be used to calculate the size of an expansion or contraction respectively. The use of workspace weightages and their associated quotas can ensure that the zpool is fairly shared by the various datasets that may be created therein for workspaces deployed on the client computing device.