Rubrik, Inc.

Adam Gee

Vivek Sanjay Jain

Junyong Lee

Jonathan Youngha Joo

Arvind Jain

Garvit Juniwal

Gaurav Jain

Soham Mazumdar

Bipul Sinha

Arvind Nithrakashyap

Jonathan Carlyle Derryberry

Kenny To

Aravind Menon

Benjamin Travis Meadowcroft

Kunal Sean Munshani

Guilherme Vale Ferreira Menezes

Surendar Chandra

Karthick Raja Ravichandran

Andrew William Draper

Xiaoyang Zhao

William Michael Davis

Haijin He

Gregory Robert Johnston

Ishaan Sang

Fabiano C Botelho

Mudit Malpani

Arijit Banerjee

Muraliraja Muniraju

Jayanth Madheswaran

Jonathan Youngha Yoo

Nandish Kotadia

Akhil Singh

Systems, methods, and machine-storage mediums for optimizing snapshot image processing are described. The system receives a first read request to read data from optimized snapshot information including snapshot information and cached snapshot information. The first read request includes a first offset identifying a first storage location and a first length. The snapshot information includes a full snapshot and at least one incremental snapshot. The system identifies a first portion of the data is stored in the snapshot information responsive to identifying the first portion of the data is not stored in the cache snapshot information. The system identifies a second portion of data is stored in the optimized snapshot information, reads the first portion of data and the second portion of data from the optimized snapshot information, and communicates the data, including the first and second portions of the data, to the job.

Caching snapshot information for snapshot image processing and optimization based on aggregating read requests

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain a snapshot of a file system that includes multiple files and permission sets associated with the files. A permission set may indicate one or more access approvals for associated principals. The DMS may scan the files to identify unique pairs each including a unique combination of a respective permission set and a respective sensitive information type. The DMS may store a first mapping that maps the unique pairs to respective values that indicate an amount of sensitive information, of the respective sensitive information type, that is included in one or more files associated with the unique pair. The DMS may identify a respective set of sensitive data types included in files to which a principal has access based on the first mapping and an evaluation of the permission sets.

Aggregation of policy information for principals associated with a file system

Subject matter related to data management is disclosed. A most recent snapshot in a snapshot chain that is not infected by malware may be identified based on mounting snapshots in the snapshot chain and determining whether the snapshots are infected. A selection of an infected snapshot may be received, where the infected snapshot may be more recent than the identified most recent snapshot. The selected infected snapshot may be mounted. Based on mounting the infected snapshot, a determination of which content in the selected snapshot are not infected may be made. Based on determining which content in the selected snapshot is not infected, at least one of the non-infected content may be recovered.

Recovering infected snapshots in a snapshot chain

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

Subject matter related to data management is discussed. A most recent snapshot in a snapshot chain that is not infected by malware may be identified based on mounting snapshots in the snapshot chain and determining whether the snapshots are infected. A graphical user interface showing individual snapshots in the snapshot change and indicating whether the snapshot is infected with malware may be displayed. The graphical user interface may provide a recover function for non-infected snapshots and may not enable the recover function for infected snapshots. A command to recover a non-infected snapshot in the snapshot chain may be received. Based on receiving the command, the non-infected snapshot may be recovered.

Indicating infected snapshots in a snapshot chain

Optimizing snapshot image processing utilizing first and second levels of snapshot information and first and second levels of cached snapshot information

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.

Data management system

Systems, methods, and machine-storage medium for classifying snapshot image processing are described. The system receives read requests to read snapshot information. Each read request includes an offset identifying a storage location and a length. The snapshot information includes snapshots including a full snapshot and at least one incremental snapshot. The read requests include a first read request to read data from the snapshot information. The system generates a first plurality of read events including a second plurality of read events that are generated by processing the first read request. The second plurality of read events includes first and a second read events. The system identifies whether utilizing a cache optimizes the job based on the first plurality of read events.

Classifying snapshot image processing

Optimizing snapshot image processing

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 improving the read and write performance of a distributed file system while limiting memory usage are described. The type of error correcting scheme applied to data, the partitioning of the data into data chunks, and the sizes of data slices within each of the data chunks used for storing electronic files within the distributed file system may be dynamically adjusted over time to optimize for fast IO performance while limiting memory usage (e.g., requiring less than 256 MB of RAM to generate and store code blocks). The file size of an electronic file to be stored, the amount of available memory for generating code blocks, and the amount of available disk space to store the electronic file may be used to set the data sizes of the data slices and the type of erasure code applied to data blocks associated with the data slices.

Techniques for fast IO and low memory consumption while using erasure codes

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San Francisco, CA, United States of America

Adam Gee