Pure Storage, Inc.

Fortinet, Inc.

Christopher Golden

Jianting Cao

Ethan L Miller

John Colgrove

David A Grunwald

John Martin Hayes

Cary A Sandvig

Malcolm Sharpe

Scott Alexander Smith

Steve Hodgson

Grigori Inozemtsev

Luke Paulsen

Ronald S Karr

Naveen Neelakantam

Neil A Vachharajani

Thomas Gill

Steven P Hodgson

Connor Brooks

Zoheb Shivani

Kunal Trivedi

Wentian Cui

Qi Zhou

Andrew R Bernat

Joern W Engel

Yijou Chen

Ganesh Ramanarayanan

Richard A Hankins

Aswin Karumbunathan

Alan Stuart Driscoll

Emily Watkins

Ricardo Gonzalez

Sergey Zhuravlev

Úlfar Erlingsson

David Whitlock

Jean-philippe E Martin

Apoorva Bansal

Helgi K Sigurbjarnarson

Ross T Bunker

Derek G Murray

Nicholas George Psaki

Neil B Vachharajani

Amey Sakhadeo

Olivia Watkins

Jonathan Hayase

Nikita Bhargava

Scott Smith

An illustrative method for querying multiple datasets may include generating, based on models each associated with and defining attributes of a different datasets stored in a plurality of data stores, a semantic layer defining relationships between the models and that provides a centralized application programming interface (API) for exposing the datasets by way of a common query language, receiving, by way of the centralized API, a query request for information that depends on data included in multiple datasets included in the plurality of datasets, querying, based on the query request and the relationships between the models defined by the semantic layer, the multiple datasets, and presenting, based on the querying, a query result representative of the information that depends on the data included in the multiple datasets.

Semantic layer for data platform

Providing unified storage for event streams in an anomaly detection framework, including: receiving, by an event streaming platform, first event data encoded in a first file format; converting, by the event streaming platform, the first event data into second event data encoded in a second file format for storage in a first remote storage system; and providing, to the first remote storage system, a command to load the second event data into the first remote storage system.

Unified storage for event streams in an anomaly detection framework

Optimizing copy operations in a storage array, includes combining, in dependence upon a metadata optimization policy, a plurality of copy operations into a single copy operation and splitting the single copy operation into an optimized set of executable copy operations that copy data based on memory alignment.

Combining memory aligned operations

A system and method comprising: receiving a request to write data stored at a first range of a first volume to a second range of a second volume, where first metadata for the first range of the first volume is associated with a range of physical addresses where the data is stored in the storage system; and responsive to receiving the request: creating second metadata for the second range of the second volume, wherein the second metadata is associated with the range of physical addresses where the data is stored in the storage system; and associating the second volume with the second metadata.

Lightweight copying of data using metadata references

A system, apparatus, and product for allowing access to a partially replicated dataset, including: detecting, by a target storage system, that a dataset will be replicated from a source storage system to the target storage system; exposing, by the target storage system, the dataset for user operations prior to receiving the entire dataset; receiving, by the target storage system, a request to read a portion of the dataset that has not been received by the target storage system; and retrieving, by the target storage system, the portion of the dataset.

Allowing access to a partially replicated dataset

Converting data formats in a storage system: converting first data in a first format to second data in a second format, wherein second data in the second format includes a reference to the first data, wherein the first data and the second data are associated with a dataset, including updating the second data to include: a reference to first data associated with a portion of the dataset that precedes a data-converted portion of the dataset; second data associated with the data-converted portion of the dataset, wherein the second data associated with the data-converted portion of the dataset is in the second data format; and a reference to first data associated with a portion of the dataset that follows the data-converted portion of the dataset; and replacing first data associated with the data-converted portion of the dataset with a reference to the second data associated with the data-converted portion of the dataset.

Converting data formats in a storage system

A system comprises a storage system comprising one or more storage devices and a storage controller operatively coupled to the storage system, the storage controller comprising a processing device, the processing device to receive first raw data from a first tenant of the storage system to a first non-volatile memory express (NVMe) input/output (I/O) queue of the storage system. The processing device further to determine that the first NVMe I/O queue corresponds to a first key, wherein the first key corresponds to the first tenant. The processing device further to encrypt the first raw data using the first key to generate first encrypted data. The processing device further to store the first encrypted data on the storage system.

Multiple encryption keys on storage drives

A method including, responsive to receiving a request identifying a volume and indicating a command to take a snapshot of the volume, mapping a second logical grouping of data to reference the first logical grouping of data, and remapping the first volume to map to the second logical grouping of data instead of the first logical grouping of data such that the first volume remains addressable with similar access permissions before and after creating the snapshot. The method also includes, in response to receiving a write request targeting the second logical grouping, splitting the second logical grouping into a plurality of ranges including a first range and a second range; wherein the first range of the second logical grouping maps to the first logical grouping, and the write request is performed on the second range of the second logical grouping.

Generating volume snapshots

A system and method for performing replication using mediums. A snapshot 'S' is selected for replication, and the anchor medium ‘M’ of S is identified. The replica storage array ‘R’ to which M is being replicated determines a list of medium extents which are available. R sends this list to an original storage array ‘O’ and O generates a list of medium extents which need to be sent to R. Only those medium extents corresponding to M which R does not already have will be sent from O to R. Also, R can obtain medium extents from other source storage arrays during the replication process.

Efficient replication using metadata

Memory aligned copy operation execution

Maintaining a synchronous replication relationship between two or more storage systems, including: receiving, by at least one of a plurality of storage systems across which a dataset will be synchronously replicated, timing information for at least one of the plurality of storage systems; and establishing, based on the timing information, a synchronous replication lease describing a period of time during which the synchronous replication relationship is valid, wherein a request to modify the dataset may only be acknowledged after a copy of the dataset has been modified on each of the storage systems.

Maintaining a synchronous replication relationship between two or more storage systems

Utilizing different data compression algorithms based on characteristics of a storage system, including: selecting, in dependence upon a priority for conserving processing resources or storage resources in a storage system, a data compression algorithm to utilize to compress data; detecting that at least one of an amount of processing resources available in the storage system or the amount of space available to store additional data in the storage system has changed; and responsive to detecting that at least one of the amount of processing resources available in the storage system or the amount of space available to store additional data in the storage system has changed, selecting a different data compression algorithm to utilize to compress data.

Utilizing different data compression algorithms based on characteristics of a storage system

An illustrative method includes identifying, based on an output of a machine learning model that receives data associated with an operation of a hardware component as an input, an anomaly in the data, determining that the anomaly is representative of an issue associated with the hardware component, and performing, based on the determining that the anomaly is representative of the issue associated with the hardware component, a remedial action that affects a performance of the operation of the hardware component.

Machine learning-based hardware component monitoring

Writing data using references to previously stored data

A system and method for exposing volumes with underlying read-write mediums to user operations. When a medium is in the process of being migrated to a storage array, a volume which relies on the medium can be exposed to user operations (e.g., snapshots, read and write operations) once the portions of the medium which underlie the volume have been migrated. The volume can be exposed to user operations while one or more other portions of the medium are unfilled and while the medium is in an intermediate read-write state.

Enabling access to a partially migrated dataset

Growing community of inventors

Mountain View, CA, United States of America

Christopher Golden