Rubrik, Inc.

Gaurav Jain

Arvind Jain

Soham Mazumdar

Bipul Sinha

Adam Gee

Arvind Nithrakashyap

Jiangbin Luo

Kenny To

Garvit Juniwal

Sharvanath Pathak

Arpit Agarwal

Aravind Menon

Jayanth Madheswaran

Methods and systems for identifying a set of disks within a cluster and then storing a plurality of data chunks into the set of disks such that the placement of the plurality of data chunks within the cluster optimizes failure tolerance and storage system performance for the cluster are described. The plurality of data chunks may be generated using replication of data (e.g., n-way mirroring) or application of erasure coding to the data (e.g., using a Reed-Solomon code or a Low-Density Parity-Check code). The topology of the cluster including the physical arrangement of the nodes and disks within the cluster and status information for the nodes and disks within the cluster (e.g., information regarding disk fullness, disk performance, and disk age) may be used to identify the set of disks in which to store the plurality of data chunks.

Chunk allocation

Methods and systems for managing, storing, and serving data within a virtualized environment are described. In some embodiments, a data management system may manage the extraction and storage of virtual machine snapshots, provide near instantaneous restoration of a virtual machine or one or more files located on the virtual machine, and enable secondary workloads to directly use the data management system as a primary storage target to read or modify past versions of data. The data management system may allow a virtual machine snapshot of a virtual machine stored within the system to be directly mounted to enable substantially instantaneous virtual machine recovery of the virtual machine.

Cluster-based network file server

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Mountain View, CA, United States of America

Gaurav Jain