Pure Storage, Inc.

Clumio, Inc.

Deepak Chawla

Ronald S Karr

David A Grunwald

John Colgrove

Terence W Noonan

Vinay Perneti

Jikui Su

Steven P Hodgson

Tabriz Holtz

Arun Rokade

Cary A Sandvig

Hung Hing Anthony Pang

Xia Hua

Shao-Ting Chang

Woonho Jung

Fabio Margaglia

Aniruddh Poornabodha Bharadwaj

Raghav Anand

Chandan Sajjan Agarwal

Nicholas Gerald Zehender

Maadhav Kaushal Shah

Deepan Balajhi Saravanan

Richa Sehgal

Michal Stanislaw Ostrowski

Kanwaljeet Sachdev

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

Techniques are disclosed relating to providing protection groups and rapid determination of expired objects and associated storage resources in a cloud-based backup storage context. In various embodiments, the disclosed techniques include generating, by a computing system, incremental backup data for a backup based on protection group information, including a set of cloud-based key-value data store buckets, filter information, and policy information. Disclosed techniques also include rapid determination of expired objects and associated storage resources. Disclosed techniques may advantageously provide a centralized view across buckets, accounts, and regions and allow users to target specific subsets of their data stores for backup, which may improve performance and reduce backup storage costs, relative to traditional techniques.

Protection groups for backing up cloud-based key-value stores

A method of operating an object-based storage system, practiced by the storage system, is provided. The method includes establishing a plurality of buckets for objects, in the storage system and establishing a plurality of bucket views in the storage system, each bucket view supporting access to objects of one of the plurality of buckets. The method includes accessing an object of a bucket through one of the plurality of bucket views.

Bucket views

Synchronizing snapshots between storage systems, including: receiving, from a source storage system, an identification of a snapshot to be replicated to a destination storage system, wherein the source storage system and the destination storage system are of different types; identifying, from hint information stored on the destination storage system, a most recent version of the snapshot that is stored on the destination storage system; issuing, to the source storage system, a request for an identification of the differences between the snapshot to be replicated to the destination storage system and the most recent version of the snapshot that is stored on the destination storage system; receiving, from the source storage system, the identification of the differences; and issuing a request to transfer, from the source storage system to the destination storage system, data associated with the differences.

Efficient replication of a dataset to the cloud

Recovery for storage systems synchronously replicating a dataset, including: receiving, by at least one storage system among the plurality of storage systems synchronously replicating the dataset, a request to modify the dataset; generating recovery information indicating whether the request to modify the dataset has been applied on all storage systems in the plurality of storage systems synchronously replicating the dataset; and responsive to a system fault, applying a recovery action in dependence upon the recovery information indicating whether the request to modify the dataset has been applied on all storage systems in the plurality of storage systems synchronously replicating the dataset.

Recovery for storage systems synchronously replicating a dataset

Servicing I/O operations directed to a dataset that is synchronized across a plurality of storage systems, including: receiving, by a follower storage system, a request to modify the dataset; sending, from the follower storage system to a leader storage system, a logical description of the modification to the dataset; receiving, from the leader storage system, information describing the modification to the dataset; processing, by the follower storage system, the request to modify the dataset; receiving, from the leader storage system, an indication that the leader storage system has processed the request to modify the dataset; and acknowledging, by the follower storage system, completion of the request to modify the dataset.

Synchronously replicating a dataset across a plurality of storage systems

Synchronizing snapshots between storage systems, including: receiving, from a source storage system, an identification of a snapshot to be replicated to a destination storage system; identifying, from hint information stored on the destination storage system, a most recent version of the snapshot that is stored on the destination storage system; issuing, to the source storage system, a request for an identification of the differences between the snapshot to be replicated to the destination storage system and the most recent version of the snapshot that is stored on the destination storage system; receiving, from the source storage system, the identification of the differences; and issuing a request to transfer, from the source storage system to the destination storage system, data associated with the differences.

Cloud-based snapshot replication

Servicing input/output ('I/O') operations directed to a dataset that is synchronized across a plurality of storage systems

Partially replicating a snapshot between storage systems

Growing community of inventors

Mountain View, CA, United States of America

Deepak Chawla