Pure Storage, Inc.

Matthew Paul Fay

Ronald S Karr

John Colgrove

David A Grunwald

Martin Harriman

Naveen Neelakantam

Brandon Davis

Andrew R Bernat

Taher Vohra

Luke Paulsen

Wentian Cui

Feng Wang

Thomas Gill

Yanwei Jiang

Zong Wang

Christopher Black

Constantine P Sapuntzakis

Cary A Sandvig

Ganesh Ramanarayanan

Richard A Hankins

Subramaniam Periyagaram

Scott Alexander Smith

Benjamin Scholbrock

Zoheb Shivani

Dirk Meister

Jonas R Irwin

Randy Zhao

Jun He

Shishir Yadav

Scott Chao

Daniel Sonner

Nathan David Parrish

Marina Galata

Runmin Wang

Sizing resources for a replication target, including: determining an initial resource requirement for a replication source; determining a retention resource requirement for the replication source; and reporting, in dependence on the initial resource requirement and the retention resource requirement, a total resource requirement for replicating the replication source.

Managing storage resource requirements for storage objects

Recovering corrupted data through speculative bitflip and cross-validation, including altering a first data portion stored in a storage device, wherein the first data portion contains an error; calculating a hash value using the altered first data portion; comparing the hash value calculated using the altered first data portion to a stored hash value for the first data portion; and based on the comparing, determining whether the altering corrects the error in the first data portion.

Recover corrupted data through speculative bitflip and cross-validation

A uniform model for distinct types of data replication, including receiving, at a source data repository, an update to a dataset; generating, based on the update to the dataset, both metadata describing the update to the dataset and also a metadata representation of the dataset; and initiating, based on the same metadata describing the update to the dataset and also based on the same metadata representation of the dataset, either a first type of data replication or a second type of data replication from among a plurality of types of data replication.

Uniform model for distinct types of data replication

Determining effective space utilization in a storage system, including: identifying an amount of data stored within the storage system that is associated with a user-visible entity; identifying an amount of data stored within the storage system that is associated with all snapshots of the user-visible entity; and reporting, in dependence upon the an amount of data stored within the storage system that is associated with the user-visible entity and the amount of data stored within the storage system that is associated with all snapshots of the user-visible entity, a total capacity utilization associated with the user-visible entity.

Storage utilization determinations in cloud-based storage systems

A storage system includes solid-state storage devices and a storage controller operatively coupled to the solid-state storage devices, the storage controller including a processing device, to store sets of data at one or more solid-state storage devices of the plurality of solid-state storage devices. The processing device may also generate tags for each of the sets of data based on one or more metadata items associated with each set of data. The processing device may also determine an expected lifespan for each set of data based on the one or more tags generated for the respective set of data. The processing device may also group each of the one or more sets of data into respective ones of a plurality of memory blocks based on the expected lifespan for each set of data, wherein each memory block corresponds to sets of data of a particular expected lifespan.

Intelligent grouping of data based on expected lifespan

A storage system has zones in solid-state storage memory, with power loss protection. The system identifies portions of data for processes that utilize power loss protection. The system determines to activate or deactivate power loss protection for the portions of data for the processes. The system tracks activation and deactivation of power loss protection in zones in the solid-state storage memory, in accordance with the portions of data having power loss protection activated or deactivated.

Intelligent power loss protection allocation

Determining storage consumption in group of storage resources, including for the group of data units within a group of storage resources: for each data unit in the group of data units, determining whether the data unit is associated with one or more client entities; and for each data unit associated with one or more client entities, determining a category for the data unit; calculating storage consumption for a client based on the category of each data unit; and reporting the calculated storage consumption.

Calculating storage utilization for distinct types of data

Providing Quality of Service (QoS) for replicating datasets including: receiving, by a target data repository from a source data repository, a checkpoint describing one or more updates to one or more datasets stored in the source data repository and the target data repository; adding, by the target data repository, the checkpoint to a first queue for checkpoints directed to one or more volumes in the target data repository, wherein the first queue is included in a plurality of queues for the target data repository; selecting, by the target data repository, one or more queues from the plurality of queues; and servicing an operation from each of the selected one or more queues.

Providing quality of service (QoS) for replicating datasets

Tracking resource utilization using normalized Input/Output ('I/O') operations, including: selecting, for each storage device of one or more storage devices, a corresponding group of input/output (I/O) operations; calculating, for each storage device of the one or more storage devices, a normalized I/O operations per second (IOPS) value based on the corresponding group of I/O operations and a size scalar; and generating a report based on the normalized IOPS value for each storage device of the one or more storage devices.

Resource utilization using normalized input/output ('I/O') operations

Sizing resources for a replication target

Determining storage capacity utilization based on deduplicated data

Generating datasets using approximate baselines including receiving, by a source storage system, an instruction to create, on a target storage system, a current snapshot for a source dataset stored on the source storage system, wherein no snapshots for the source dataset exist on the target storage system; selecting, as a baseline dataset, a similar dataset from a plurality of datasets on the source storage system with an existing snapshot on the target storage system, wherein the similar dataset comprises at least a portion of the source dataset; instructing the target storage system to generate a baseline snapshot for the source dataset using a copy of the existing snapshot of the baseline dataset; and transferring, from the source storage system to the target storage system, only a difference between the baseline dataset and the source dataset.

Generating datasets using approximate baselines

Continuous data protection, including sending, to a target data repository from a source data repository, metadata describing one or more updates to one or more datasets stored within the source data repository; generating, based on the metadata describing the one or more updates to the one or more datasets, an ordered log of metadata describing an ordered application of the one or more updates to the one or more datasets; and generating, on the source data repository and based on the ordered log of metadata, the one or more datasets in accordance with the one or more updates corresponding to a specified point in time.

Configurable data replication

Budgeting open blocks based on power loss protection

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.

Unified storage on block containers

Growing community of inventors

Mountain View, CA, United States of America

Matthew Paul Fay