Pure Storage, Inc.

Symantec Operating Corporation

Veritas Operating Corporation

Symantec Corporation

Veritas Technologies LLC

Symantec Operation Corporation

Symantec Operating Company

Ronald S Karr

John Colgrove

David A Grunwald

Naveen Neelakantam

Oleg Kiselev

Ethan L Miller

Aswin Karumbunathan

Constantine P Sapuntzakis

Robert H Lee

Joshua Freilich

Thomas Gill

Anand A Kekre

Steven P Hodgson

Peter E Kirkpatrick

Zoheb Shivani

Kunal Trivedi

Andrew R Bernat

Roland Dreier

Connor Brooks

Igor Ostrovsky

Matthew Paul Fay

Par Botes

Taher Vohra

Chirag Deepak Dalal

Boris Feigin

Niranjan Sanjiv Pendharkar

Patrick D Lee

Raghu Krishnamurthy

Radek Aster

Vaijayanti Rakshit Bharadwaj

Sergey Zhuravlev

Daquan Zuo

Aaron Dailey

Deepak Tawri

Cary A Sandvig

Christopher Golden

Alan Stuart Driscoll

Pradip Kulkarni

Kalaivani Arumugham

Luke Paulsen

Logan Jennings

Poonam P Dhavale

Tabriz Holtz

Wei Zhang

Feng Wang

Neil A Vachharajani

Brian Gold

Ganesh Ramanarayanan

Subramaniam Periyagaram

Mark L McAuliffe

Timothy W Brennan

Gopal Sharma

Benjamin Scholbrock

Michael E Root

Larry Touchette

Dirk Meister

Deepak Chawla

Hari Kannan

Santosh Ananth Rao

Farhan Abrol

Robert Baird

Krishna Kant

Ivan Jibaja

Eric D Seppanen

Vikas Gupta

Charles Silvers

Lawrence Mertes

Subhojit Roy

Ying Gao

Craig Harmer

Richard A Hankins

Angshuman Bezbaruah

Yuhong Mao

Graham Bromley

Benjamin P Borowiec

Michael Tyler Richardson

Wei Tang

Prakash Darji

Deepak Patil

Mukul Kumar

Vinay Perneti

George Mathew

Anindya Banerjee

Scott Bradley Baker

Gordon James Coleman

Shailesh Marathe

Kiron Vijayasankar

Murthy V Mamidi

Venkeepuram R Satish

Kadir Ozdemir

Emily Potyraj

Andrew Kleinerman

Xiaohui Wang

Amitava Guha

Pu Paul Zhang

Joshua P Robinson

Neil Buda Vachharajani

Ori Shalev

Scott Douglas Kaiser

Saurabh Shukla

A method of storing data is provided. The method includes receiving a plurality of data blocks provided to a hyperscaler system. The method also includes determining a corresponding property for each data block of the plurality of data blocks. The method further includes identifying a set of data blocks from the plurality of data blocks. Each data block of the set of data blocks is associated with a first property. The method further includes storing the set of data blocks in a first zone of a zoned storage system, based on the first property.

Efficient data storage by grouping similar data within a zone

Creating a replica of a storage system, including: receiving, by a first storage system from a computing device, data to be stored on the first storage system; reducing, by the first storage system, the data using one or more data reduction techniques; sending, from the first storage system to the second storage system, the reduced data, wherein the reduced data is encrypted; and sending, from the second storage system to a third storage system, the reduced data, wherein the reduced data is encrypted.

Maintaining encryption during storage system replication

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.

Tiering valid data after a disaster recovery operation

Supporting multiple replication schemes across distinct network layers, including: replicating, over a first type of network messaging layer, data between a first storage system and a second storage system; selecting a different messaging layer for data replication; and replicating, over a second type of network messaging layer, data between the first storage system and the second storage system.

Switching between network layers for replication

Determining active membership among a set of storage systems, including: determining, by a cloud-based storage system among the set of storage systems, that a membership event corresponds to a change in membership to the set of storage systems synchronously replicating the dataset; applying, in dependence upon the membership event, one or more membership protocols to determine a new set of storage systems to synchronously replicate the dataset; and for one or more I/O operations directed to the dataset, applying the one or more I/O operations to the dataset synchronously replicated by the new set of storage systems.

Directing I/O to an active membership of storage systems

Data reduction across different cloud-based storage systems, including: performing one or more global data reduction processes on the data using one or more global databases that represent the data associated with the plurality of cloud-based virtual storage systems.

Data reduction in a cloud-based storage system

Preserving data in a storage system operating in a reduced power mode, including: detecting that the storage system should enter the reduced power mode; and entering the reduced power mode, including performing, while in the reduced power mode, one or more maintenance operations on one or more storage devices in the storage system.

Preserving data in a storage system operating in a reduced power mode

Data recovery in a virtual storage system, including: detecting, within storage provided by a first tier of storage of the virtual storage system, data loss within a dataset, wherein recovery data for the dataset is stored in a second tier of storage; determining a recovery point for the dataset up to which a consistent version of the dataset is recoverable from the recovery data stored in the second tier of storage; and restoring, within the storage provided by the first tier of storage of the virtual storage system, the consistent version of the dataset.

Recovering data in a virtual storage system

Initiating recovery actions when a dataset ceases to be synchronously replicated across a set of storage systems, including: receiving, by at least one storage system among a plurality of storage systems implementing a symmetric input/output model for a synchronously replicated dataset, a request to modify the dataset; identifying one or more operations associated with the request to modify the dataset that have not been applied to at least one storage system of the plurality of storage systems; and responsive to a system fault among the plurality of storage systems synchronously replicating the dataset, applying a recovery action based on recovery information that identifies one or more operations that have not been applied to the plurality of storage systems.

Initiating recovery actions when a dataset ceases to be synchronously replicated across a set of storage systems

An illustrative method includes a data protection system detecting an anomaly associated with a managed run-time environment; determining, based on the detecting the anomaly, that the managed run-time environment is possibly being targeted by a security threat; and performing, based on the determining that the managed run-time environment is possibly being targeted by the security threat, a remedial action associated with the managed run-time environment. The performing the remedial action may include identifying a recovery dataset generated prior to the detecting the anomaly, the recovery dataset for data associated with the managed run-time environment and stored by a storage system, and converting the recovery dataset into a protected recovery dataset that cannot be deleted without a specific instruction provided by an authorized entity.

Managed run-time environment-based detection of a ransomware attack

Providing application-side infrastructure to control cross-region replicated object stores is disclosed. An embodiment includes determining, for an object store replicated across a plurality of storage systems at a plurality of locations, a minimum time interval between requests to modify the object store that are received by differing storage systems of the plurality of storage systems that ensures a predictable result on all storage systems among which the requested modifications are replicated; and providing, through an application programming interface (API) to a client that utilizes the object store, one or more object store parameters including the minimum time interval.

Providing application-side infrastructure to control cross-region replicated object stores

A system for cloud-based file services, comprising: a plurality of single-tenant file system nodes configured to provide file system access to an object store via a plurality of multitenant storage nodes; the plurality of multitenant storage nodes sharing access to the object store; and one or more management nodes configured to provision resources for the plurality of single-tenant file system nodes and the plurality of multitenant storage nodes, including modifying resources within the system.

Provisioning file system resources in cloud environments

Configuring storage systems based on storage utilization patterns, including: determining, based on first data associated with a first workload type and second data associated with a second workload type, a first utilization pattern associated with the first workload type and a second utilization pattern associated with the second workload type; and modifying, based on the first utilization pattern and the second utilization pattern, one or more storage systems in a fleet of storage systems.

Configuring storage systems based on storage utilization patterns

Deduplicating data based on recently reading the data, including: determining whether a calculated signature for write data matches a particular signature corresponding to data that was recently read from the storage device, wherein the signature is calculated using the write data as input; and after determining that the calculated signature for the write data matches the particular signature, obtaining the data that was recently read and comparing the data that was recently read to the write data.

Identifying duplicate data based on recently read data

An illustrative data storage system is configured to replicate, from a source storage system to a target storage system, a pod that includes a file system constructed of block objects. The pod may be a storage system construct that groups storage entities within a namespace and supports operations on the storage entities as a group. The block objects may store metadata for individual files and directories of the file system and may support random read-write access to blocks of data associated with the files and directories of the file system.

Replicating a file system

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Sunnyvale, CA, United States of America

Ronald S Karr