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

Robert H Lee

Thomas Gill

Constantine P Sapuntzakis

Joshua Freilich

Anand A Kekre

Steven P Hodgson

Peter E Kirkpatrick

Zoheb Shivani

Kunal Trivedi

Andrew R Bernat

Connor Brooks

Roland Dreier

Igor Ostrovsky

Matthew Paul Fay

Par Botes

Taher Vohra

Chirag Deepak Dalal

Boris Feigin

Niranjan Sanjiv Pendharkar

Patrick D Lee

Andrew Miller

Andrew Kutner

Raghu Krishnamurthy

Radek Aster

Sergey Zhuravlev

Vaijayanti Rakshit Bharadwaj

Deepak Tawri

Cary A Sandvig

Christopher Golden

Alan Stuart Driscoll

Pradip Kulkarni

Kalaivani Arumugham

Daquan Zuo

Luke Paulsen

Aaron Dailey

Poonam P Dhavale

Tabriz Holtz

Wei Zhang

Feng Wang

Neil A Vachharajani

Brian Gold

Ganesh Ramanarayanan

Subramaniam Periyagaram

Mark L McAuliffe

Gopal Sharma

Benjamin Scholbrock

Michael E Root

Logan Jennings

Dirk Meister

Larry Touchette

Deepak Chawla

Hari Kannan

Timothy W Brennan

Santosh Ananth Rao

Robert Baird

Vikas Gupta

Charles Silvers

Lawrence Mertes

Krishna Kant

Subhojit Roy

Ying Gao

Craig Harmer

Richard A Hankins

Angshuman Bezbaruah

Graham Bromley

Benjamin P Borowiec

Ivan Jibaja

Farhan Abrol

Michael Tyler Richardson

Wei Tang

Prakash Darji

Mukul Kumar

Deepak Patil

Vinay Perneti

George Mathew

Anindya Banerjee

Scott Bradley Baker

Gordon James Coleman

Shailesh Marathe

Yuhong Mao

Kiron Vijayasankar

Murthy V Mamidi

Kadir Ozdemir

Venkeepuram R Satish

Emily Potyraj

Andrew Kleinerman

Xiaohui Wang

Amitava Guha

Pu Paul Zhang

Joshua P Robinson

Ori Shalev

Scott Douglas Kaiser

Grace Jing Chen

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

A read request with a high priority indication is received. A determination as to whether an in progress flash programming operation would delay processing the read request for a threshold amount of time is made. In response to determining that the in progress flash programming operation delays processing the read request for the threshold amount of time, the in progress flash programming operation is interrupted.

Latency reduction of flash-based devices using programming interrupts

A method of distributed file deletion, performed by a storage system, is provided. The method includes receiving, at the storage system, a request to delete a directory and contents of the directory and adding the directory to a first set, listed in a memory in the storage system. The method includes operating on the first set, by examining each directory in the first set to identify subdirectories, adding each identified subdirectory to the first set as a directory, and adding each examined directory to a second set listed in the memory. The method includes deleting in a distributed manner across the storage system without concern for order, contents of directories, and the directories listed in the second set.

Storage system with distributed deletion

Systems and methods of maintaining a policy implementation for an object across different storage systems are disclosed. The method includes determining, for an object to be copied from a first storage system, one or more object policies that are applicable to the object; generating metadata that triggers application of the one or more policies at an other storage system that is different from the first storage system; and including the metadata with the object during copying of the object.

Maintaining object policy implementation across different storage systems

A plurality of storage nodes is provided. The plurality of storage nodes includes a first plurality of storage nodes configured to communicate together as a first storage cluster and a second plurality of storage nodes configured to communicate together as a second storage cluster. Each of the first and second pluralities of storage nodes has nonvolatile solid-state memory for user data storage and each of the first and second pluralities of storage nodes is configured to distribute user data and metadata associated with the user data throughout a respective plurality of storage nodes such that a respective storage cluster maintains ability to read the user data, using erasure coding, despite a loss of one or more of the respective plurality of storage nodes.

Two or more logical arrays having zoned drives

Data resiliency in a cloud-based storage system, including: receiving, for storage within a first tier of cloud storage of the cloud-based storage system, one or more segments of data; generating, for each of one or more shards of data of the one or more segments of data, self-describing information for recoverability of the one or more shards of data; and storing, within a second tier of cloud storage of the cloud-based storage system, both the one or more shards of data and the generated self-describing information for recoverability of the one or more shards of data.

Ensuring the resiliency of redundancy data in a cloud-based storage system

Growing community of inventors

Sunnyvale, CA, United States of America

Ronald S Karr