A plurality of logical storage segments of storage drives of a plurality of storage nodes are identified. At least one of the storage nodes includes at least a first logical storage segment and a second logical storage segment included in the plurality of logical storage segments. A distributed and replicated data store using a portion of the plurality of logical storage segments that excludes at least the second logical storage segment is provided. An available storage capacity metric associated with the plurality of logical storage segments is determined to meet a first threshold. In response to the determination that the available storage capacity metric meets the first threshold, at least the second logical storage segment is dynamically deployed for use in providing the distributed and replicated data store in a manner that increases a storage capacity of the data store while maintaining a fault tolerance policy of the distributed and replicated data store.

Dynamic configuration of backups of production volumes based on desired recovery objectives is provided. A system may obtain a recovery point objective (“RPO”) for a particular production volume. The system may initially back up data, written to the production volume, to a storage volume with certain performance parameters. However, if the write operations to the production volume occur at a high enough rate and/or affect a large enough amount of data, there may be a lag in writing that data to the backup volume. The system may monitor the lag with respect to the specified RPO for backup of the production volume. If the lag approaches the RPO, then the system may dynamically change the configuration of the backup volume to better satisfy the RPO.

Methods, computer program products, computer systems, and the like for efficient metadata management are disclosed, which can include receiving a subunit of storage, storing a first metadata portion of the subunit of storage in a first unit of storage, and storing a second metadata portion of the subunit of storage in a second unit of storage.

A system for extracting latent information from data includes obtaining or generating components of the data, where the data components include scores indicating how the component relates to the data. Memory is allocated for the components and the components are stored in the allocated memory. The components are then transformed into documents using a suitable transformation function, and the documents are analyzed using natural language processing, to extract latent information contained in the data.

A method of using flash storage devices with different sized erase blocks is provided. The method includes allocating a plurality of erase blocks of heterogeneous erase block sizes to a RAID stripe, to form a tile pattern having the heterogeneous erase block sizes in the RAID stripe. The method includes writing the RAID stripe across the flash storage devices in accordance with the allocating, and stopping the writing the RAID stripe, responsive to contents of the RAID stripe reaching a threshold.

An embodiment may involve a network interface module; volatile memory configured to temporarily store data packets received from the network interface module; high-speed non-volatile memory; an interface connecting to low-speed non-volatile memory; a first set of processors configured to perform a first set of operations that involve: (i) reading the data packets from the volatile memory, (ii) arranging the data packets into chunks, each chunk containing a respective plurality of the data packets, and (iii) writing the chunks to the high-speed non-volatile memory; and a second set of processors configured to perform a second set of operations in parallel to the first set of operations, where the second set of operations involve: (i) reading the chunks from the high-speed non-volatile memory, (ii) compressing the chunks, (iii) arranging the chunks into blocks, each block containing a respective plurality of the chunks, and (iv) writing the blocks to the low-speed non-volatile memory.

In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.

An example memory subsystem includes a memory component and a processing device, operatively coupled to the memory component. The processing device is configured to receive a plurality of logical-to-physical (L2P) records, wherein an L2P record of the plurality of L2P records maps a logical block address to a physical address of a memory block on the memory component; determine a sequential assist value specifying a number of logical block addresses that are mapped to consecutive physical addresses sequentially following the physical address specified by the L2P record; generate a security token encoding the sequential assist value; and associate the security token with the L2P record.

An illustrative unified data storage method includes providing, by a data storage system, block containers that represent a linear address space of blocks; and using, by the data storage system, the block containers to store content for a plurality of different data storage services. In certain examples, the different data storage services include at least one of a file storage service, an object storage service, or a database service.

Solutions for supporting storage using a multi-writer log-structured file system (LFS) are disclosed that include receiving incoming data from an object of a plurality of objects that are configured to simultaneously write to the LFS from different nodes; based at least on receiving the incoming data, determining whether sufficient free segments are available in a local segment usage table (SUT) for writing the incoming data; based at least on determining that insufficient free segments are available, requesting allocation of new free segments; writing the incoming data to a log; acknowledging the writing to the object; determining whether the log has accumulated a full segment of data; based at least on determining that the log has accumulated a full segment of data, writing the full segment of data to a first segment of the free segments; and updating the local SUT to mark the first segment as no longer free.