Rubrik, Inc.

Vmware, Inc.

Li Ding

Benjamin Travis Meadowcroft

Samir Rishi Chaudhry

Abhay Mitra

Kushaagra Goyal

Shaomin Chen

Kunal Sean Munshani

Arijit Banerjee

Hardik Vohra

Arnav Gautum Mishra

Suman Swaroop

Mudit Malpani

Disheng Su

Mayank Rawat

Serge Pashenkov

Ritesh H Shukla

Stephen Chu

Ying Quan Wu

Christopher Denny

Linglin Yu

Wei Wang

Shaswat Chaubey

Bret Needle

Roman Konarev

Shirong Wu

Tianpei Zhang

Raveesh Ahuja

Bharadwaj Rayala

Yang Yang

Wenguang Wang

Richard Paul Spillane

Cheng Li

Hao Zhou

Feng Lu

Abhishek Modi

Karthik Narasandra Manjunatha Rao

Yiyao Wu

A data storage infrastructure may establish a partition that includes a first data center and a second data center that is geographically separated from the first data center. The data storage infrastructure may replicate a full snapshot and one or more incremental snapshots of a virtual machine from a first data management platform to a second data management platform, where the virtual machine is migrated from a first host of the first host group to a second host of the second host group upon a failover event occurring at the first data center. The data storage infrastructure may then capture an incremental snapshot of the virtual machine based on linking a first instance of the virtual machine that was replicated from the first data management platform and a second instance of the virtual machine that is managed by the second data management platform.

Virtual machine failover management for geo-redundant data centers

Techniques for managing proxy virtual machines are disclosed. In some embodiments, a computer system deploys proxy virtual machines on a data center in an intelligent way in order to optimize performance and efficiency for backing up data from and restoring data to the data center, using the topology of the data center to determine how many proxy virtual machines to deploy and on which specific hosts to deploy the proxy virtual machines. Rather than determining the number of proxy virtual machines to deploy based on a maxing out of all of the ports on each proxy virtual machine to handle a planned quantity of backup jobs, the computer system may calculate the number of proxy virtual machines to use based on a rule that ports be left available for un-planned on-demand restore jobs.

Managing proxy virtual machines

Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Systems and methods for continuous data protection comprising storage of completed I/O requests intercepted from an I/O stream using touch points

An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

In-place data recovery

A method for transferring virtual machines across hypervisors is described. According to the method, a data management system may interface with a first hypervisor platform and a second hypervisor platform. The data management system may obtain a snapshot of a first virtual machine executing on the first hypervisor platform. The snapshot may include data and metadata associated with the first virtual machine in a first format that is supported by the first hypervisor platform. The data management system may extract the data and the metadata from the snapshot of the first virtual machine and convert the data and the metadata from the first format to a second format that is supported by the second hypervisor platform. The data management system may transfer the data and the metadata in the second format to a second virtual machine executing on the second hypervisor platform.

Snapshot-based virtual machine transfer across hypervisors

A data backup and recovery method and system using allocated data blocks include identifying a first snapshot associated with a virtual machine; accessing changed block tracking data associated with data changes occurred in the virtual machine, the data changes corresponding to a set of changed data blocks; accessing block allocation status data associated with the set of changed data blocks; identifying one or more allocated data blocks from the set of changed data blocks that are associated with allocated status based on the block allocation status data; and storing the one or more allocated data blocks to a storage device.

Data backup and recovery management using allocated data blocks

Example embodiments relate generally to data resynchronization methods and systems in continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Data resychronization methods and systems in continuous data protection

A storage cluster may dynamically select a data transport mode for supporting a backup or export job. The storage cluster may receive a trigger indication to create, a backup of data of a source virtual machine. The storage cluster may select a data transport mode to use for reading the data from the source virtual machine to create the backup at the storage cluster. The selection may be from a set of data transport modes that includes a proxy virtual machine mode and a direct-to-host mode. The storage cluster may transmit, to a host for the source virtual machine, a request to activate the selected data transport mode, and receive the data from the source virtual machine via the selected data transport mode. The storage cluster may use the data to create the backup.

Hybrid data transfer model for virtual machine backup and recovery

Techniques for managing proxy virtual machines are disclosed. In some embodiments, a computer system deploys proxy virtual machines on a data center in an intelligent way in order to optimize performance and efficiency for backing up data from and restoring data to the data center, using the topology of the data center to determine how many proxy virtual machines to deploy and on which specific hosts to deploy the proxy virtual machines. Rather than determining the number of proxy virtual machines to deploy based on a coaxing out of all of the ports on each proxy virtual machine to handle a planned quantity of backup jobs, the computer system may calculate the number of proxy virtual machines to use based on a rule that ports be left available for un-planned on-demand restore jobs.

A data management system comprises: a storage appliance configured to store a snapshot of a virtual machine; and one or more processors in communication with the storage appliance. The one or more processors are configured to perform operations including: identifying a plurality of shards of the virtual machine; requesting a snapshot of each of the plurality of shards; receiving the shards asynchronously; ordering the received snapshot shards sequentially into a results queue; and storing a single snapshot of the virtual machine based on the ordered snapshot shards. Operations may further include maintaining a flow control queue that limits the number of snapshot shards requested.

Asynchronous input and output for snapshots of virtual machines

Data resynchronization methods and systems in continuous data protection

Growing community of inventors

Cupertino, CA, United States of America

Li Ding