Rubrik, Inc.

Benjamin Travis Meadowcroft

Abhay Mitra

Hardik Vohra

Li Ding

Mudit Malpani

Kunal Sean Munshani

Kushaagra Goyal

Shaomin Chen

Samir Rishi Chaudhry

Arijit Banerjee

Arnav Gautum Mishra

Suman Swaroop

Biswaroop Palit

Zhicong Wang

Prateek Pandey

Saurabh Goyal

Janmejay Singh

Atanu Chakraborty

Sanjari Srivastava

Swapnil Agarwal

Rahil Shah

Ajay Arvind Bhave

Wei Wang

Disheng Su

Shaswat Chaubey

Roman Konarev

Shirong Wu

Tianpei Zhang

Adam Gee

Guilherme Vale Ferreira Menezes

Karthick Raja Ravichandran

Andrew William Draper

Xiaoyang Zhao

William Michael Davis

Haijin He

Fabiano C Botelho

Bryan Dale Evans

Abhishek Modi

A data management and storage (DMS) cluster of peer DMS nodes manages migration of an application between a primary compute infrastructure and a secondary compute infrastructure. The secondary compute infrastructure may be a failover environment for the primary compute infrastructure. Primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines. Secondary snapshots of the virtual machines are generated, where the secondary snapshots are incremental snapshots of the primary snapshots. In failback, the secondary snapshots are provided to the primary compute infrastructure, where they are combined with the primary snapshots into construct a current state of the application, and the application is deployed in the current state by deploying virtual machines on the primary compute infrastructure.

Application migration between environments

Subject matter related to data management is disclosed. Snapshots of a target object in a computing system may be stored, where the snapshots may correspond to multiple versions of the target object. A first indication that information in a snapshot of the snapshots is flagged for quarantine may be obtained. Based on receiving the first indication, a second indication that the information in the snapshot is prohibited from being restored during a restoration operation for the target operation may be generated. The second indication that the information in the snapshot is prohibited from being restored may be stored.

Quarantining information in backup locations

Subject matter related to data management is disclosed. Snapshots of a target object in a computing system may be stored, where the snapshot may correspond to multiple versions of the target object. An indication that information in one or more of the snapshots may be stored. A request to restore a snapshot of the target object may be received. In response to the request, a determination of whether the snapshot of the target object is prohibited from being restored may be made based on the indication that information in one or more of the snapshots is flagged for quarantine. A determination of whether to initiate a restoration operation in response to the request to restore the snapshot may also be made based on whether the snapshot is prohibited from being restored.

Recovering quarantined information from backup locations

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

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

Examples relate generally to systems and methods for orchestrating a recovery in the event of a ransomware attack on a compute infrastructure. More specifically, some examples include techniques for application migration in cloud data management, ransomware recovery, and mitigation of lost data.

Application migration for cloud data management and ransomware recovery

Data resynchronization methods and systems in continuous data protection

A data management and storage (DMS) cluster of peer DMS nodes manages data of an application distributed across a set of machines of a compute infrastructure. A DMS node associates a set of machines with the application, and generates data fetch jobs for the set of machines for execution by multiple peer DMS nodes. The DMS node determining whether each of the data fetch jobs for the set of machines is ready for execution by the peer DMS nodes. In response to determining that each of the data fetch jobs is ready for execution, the peer DMS nodes execute the data fetch jobs to generate snapshots of the set of machines. The snapshots may be full or incremental snapshots, and collectively form a snapshot of the application.

Application backup and management

Systems and methods for continuous data protection

Growing community of inventors

San Jose, CA, United States of America

Benjamin Travis Meadowcroft