Pure Storage, Inc.

Sergey Zhuravlev

John Colgrove

Naveen Neelakantam

Constantine P Sapuntzakis

Joshua Freilich

Aswin Karumbunathan

Ronald S Karr

Patrick D Lee

Vinay Perneti

John Martin Hayes

Feng Wang

Marco Sanvido

Yuval Frandzel

Richard A Hankins

Steve Hodgson

Andrew Kleinerman

Gregory McNutt

David Whitlock

Argenis Fernandez

Shiva Ankam

Remko Deenik

Jon Owings

Simon Dodsley

Par Botes

Christopher Golden

Joshua Robinson

Joshua P Robinson

Apoorva Bansal

Olivia Watkins

Jonathan Hayase

Nikita Bhargava

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

Synchronously replicating a dataset across cloud-based storage systems, including adding a cloud-based storage system to a set of storage systems that the dataset is synchronously replicated across, where access operations are applied to the dataset equivalently through all storage systems in the set, all storage systems in the set store a separate copy of the dataset, and operations to modify the dataset performed and completed through any of the storage systems in the set are reflected in access operations to read the dataset, the cloud-based storage system including one or more cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with local storage for storing at least a portion of the dataset as block data, and an object storage layer for storing at least a portion of the dataset as object data.

Replication utilizing cloud-based storage systems

Dynamically adjusting an amount of log data generated for a storage system that includes a plurality of storage devices, including: detecting that a value for a performance-related characteristic of a component of a storage system has reached a performance threshold, and based on the detection, changing an extent to which log data should be generated for the component.

Log data generation based on performance analysis of a storage system

Cloning storage systems in a cloud computing environment, including: receiving a request to create a cloud-based storage system; retrieving, from cloud-based object storage, one or more objects to include in the cloud-based storage system; and creating the cloud-based storage system, including storing, in block storage of the cloud-based storage system, data contained in the one or more objects retrieved from the cloud-based object storage.

Creating a cloud-based storage system

A method may include detecting, by a computing device based on a problem signature, that a system has experienced a problem that is associated with the problem signature, wherein the problem signature comprises a specification of a pattern of events indicative of the particular problem experienced by at least one other system; determining that the particular problem violates an operational policy of the system; and deploying, without user intervention, one or more corrective measures that modify the system to resolve the problem.

Problem signature-based corrective measure deployment

A cloud-based storage system within a cloud computing environment, the cloud-based storage system including: monitoring, for the cloud-based storage system, one or more storage system operations, wherein the cloud-based storage system includes a virtual instance storage layer and a cloud-based storage layer; determining, based at least upon the one or more storage system operations, one or more access patterns for the cloud-based storage system; and modifying, based at least upon the one or more access patterns for the cloud-based storage system, one or more cloud configurations for the cloud-based storage system.

Scaling a cloud-based storage system in response to a change in workload

Secure cloud-based storage system management that includes: establishing, within a cloud-based services provider and based on one or more user credentials, a cloud-based user session to execute one or more commands on a remote storage system that includes physical storage devices; determining one or more data storage operations corresponding to the physical storage devices to implement the one or more commands on the storage system; and extending, based on using an access token based on the one or more user credentials to securely issue the one or more data storage operations to the remote storage system, the cloud-based user session to the remote storage system.

Configuring storage systems in a fleet of storage systems

Recovery of a container storage provider, including: storing, within a first database, configuration information related to the container storage provider; storing, within a second database, the configuration information; and responsive to detecting that one or more components associated with the container storage provider have become unavailable, creating a replacement component using configuration information contained in the second database.

Recovering a container storage system

Dynamically adjusting an amount of log data generated for a storage system that includes a plurality of storage devices, including: setting, for a component within the storage system, a logging level for the component, the logging level specifying the extent to which log data should be generated for a particular component; determining, in dependence upon one or more measured operating characteristics of the storage system, whether the logging level for the component should be changed; and responsive to determining that the logging level for the component should be changed, changing the logging level associated with the component.

Increasing or decreasing the amount of log data generated based on performance characteristics of a device

Utilizing cloud-based storage systems to support synchronous replication of a dataset

An illustrative method includes detecting, by a cloud based storage system services provider based on a problem signature, that a storage system has experienced a problem that is associated with the problem signature; and deploying, without user intervention, one or more corrective measures that modify the storage system to resolve the problem.

Cloud-based providing of one or more corrective measures for a storage system

A system and method for efficiently storing data in a storage system. A data storage subsystem includes multiple data storage locations on multiple storage devices in addition to at least one mapping table. A data storage controller determines whether data to store in the storage subsystem has one or more patterns of data intermingled with non-pattern data within an allocated block. Rather than store the one or more pattern on the storage devices, the controller stores information in a header on the storage devices. The information includes at least an offset for the first instance of a pattern, a pattern length, and an identification of the pattern. The data may be reconstructed for a corresponding read request from the information stored in the header.

Reconstructing deduplicated data

Copying a cloud-based storage system

Dynamic configuration of a cloud-based storage system

Recovery of a container storage provider, including: storing, within a first database, configuration information related to the container storage provider; storing, within a second database hosted by a cloud-based storage system services provider, the configuration information; and responsive to detecting that one or more components associated with the container storage provider have become unavailable, creating a replacement component using configuration information contained in the second database.

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Campbell, CA, United States of America

Sergey Zhuravlev