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公开(公告)号:US11294792B2
公开(公告)日:2022-04-05
申请号:US17144443
申请日:2021-01-08
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Pranava Adduri , Abhinav Adduri
IPC: G06F11/36
Abstract: In one aspect, a computer system automatically identifies style issues in a source code base. A reference set for a known style issue includes source code examples that exhibit the style issue. The source code examples in the reference set are compared to the source code base, for example using string convolution. Based on the comparison, locations in the source code base that are likely to exhibit the style issue are identified. Various steps in the processing may be implemented using machine learning models, clustering or other automated data science techniques.
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公开(公告)号:US11669409B2
公开(公告)日:2023-06-06
申请号:US16660262
申请日:2019-10-22
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Benjamin Meadowcroft , Biswaroop Palit , Atanu Chakraborty , Hardik Vohra , Abhay Mitra , Saurabh Goyal , Sanjari Srivastava , Swapnil Agarwal , Rahil Shah , Mudit Malpani , Janmejay Singh , Ajay Arvind Bhave , Prateek Pandey
CPC classification number: G06F11/1469 , G06F9/45558 , G06F11/203 , G06F11/2023 , G06F2009/45575 , G06F2201/84
Abstract: 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.
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公开(公告)号:US11663085B2
公开(公告)日:2023-05-30
申请号:US16018000
申请日:2018-06-25
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Benjamin Meadowcroft , Biswaroop Palit , Atanu Chakraborty , Hardik Vohra , Abhay Mitra , Saurabh Goyal , Sanjari Srivastava , Swapnil Agarwal , Rahil Shah , Mudit Malpani , Janmejay Singh , Ajay Arvind Bhave , Prateek Pandey
CPC classification number: G06F11/1451 , G06F9/4881 , G06F11/1464 , G06F2201/84
Abstract: 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.
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公开(公告)号:US20200159643A1
公开(公告)日:2020-05-21
申请号:US16196506
申请日:2018-11-20
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Pranava Adduri , Abhinav Adduri
IPC: G06F11/36
Abstract: In one aspect, a computer system automatically identifies style issues in a source code base. A reference set for a known style issue includes source code examples that exhibit the style issue. The source code examples in the reference set are compared to the source code base, for example using string convolution. Based on the comparison, locations in the source code base that are likely to exhibit the style issue are identified. Various steps in the processing may be implemented using machine learning models, clustering or other automated data science techniques.
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公开(公告)号:US10503612B1
公开(公告)日:2019-12-10
申请号:US16018013
申请日:2018-06-25
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Benjamin Meadowcroft , Biswaroop Palit , Atanu Chakraborty , Hardik Vohra , Abhay Mitra , Saurabh Goyal , Sanjari Srivastava , Swapnil Agarwal , Rahil Shah , Mudit Malpani , Janmejay Singh , Ajay Arvind Bhave , Prateek Pandey
Abstract: 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.
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公开(公告)号:US20240012720A1
公开(公告)日:2024-01-11
申请号:US18470276
申请日:2023-09-19
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Benjamin Meadowcroft , Biswaroop Palit , Atanu Chakraborty , Hardik Vohra , Abhay Mitra , Saurabh Goyal , Sanjari Srivastava , Swapnil Agarwal , Rahil Shah , Mudit Malpani , Janmejay Singh , Ajay Arvind Bhave , Prateek Pandey
CPC classification number: G06F11/1469 , G06F9/45558 , G06F11/2023 , G06F11/203 , G06F2009/45575 , G06F2201/84
Abstract: 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.
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公开(公告)号:US11620191B2
公开(公告)日:2023-04-04
申请号:US16148991
申请日:2018-10-01
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Looi Chow Lee , Andrew Kwangyum Park, Jr. , Karthikeyan Srinivasan
Abstract: A data management and storage (DMS) cluster of peer DMS nodes manages data of a compute infrastructure by generating snapshots of partitions of a fileset of the compute infrastructure and providing a passthrough for storing the snapshots in a data storage separate from the DMS cluster, such as a cloud computing system. In one approach, the DMS nodes determine partitions of a fileset using fileset metadata, generates snapshots of the partitions, and stores the snapshots in the data storage. Each DMS node may include a local storage which is used to facilitate creation of a snapshot of a partition. The snapshot may be removed from the local storage after being sent to the data storage. Rather than storing the snapshot, the DMS cluster stores fileset metadata that is referenced to retrieve the snapshot from the data storage. The snapshot is deployed to retrieve a file stored in the partition.
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公开(公告)号:US11422838B2
公开(公告)日:2022-08-23
申请号:US16511897
申请日:2019-07-15
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Benjamin Travis Meadowcroft , Biswaroop Palit , Mudit Malpani , Hardik Vohra
Abstract: An example method of managing and storing data includes pulling and saving a first snapshot of a first state of a target machine running on a cloud service and creating a first virtual machine (VM) package associated with the first snapshot. The first VM package sufficient to instantiate a VM emulating the target machine with the first state on an on-premise destination VM platform. The method includes pulling and saving a second snapshot of a second state of the target machine, wherein the second state occurs after the first state. A second VM package is created and associated with the second snapshot, the second VM package sufficient to instantiate the VM emulating the target machine with the second state on the destination VM platform. The second VM package is created by updating the first VM package according to differences between the first snapshot and the second snapshot.
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公开(公告)号:US10769046B2
公开(公告)日:2020-09-08
申请号:US16196506
申请日:2018-11-20
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Pranava Adduri , Abhinav Adduri
Abstract: In one aspect, a computer system automatically identifies style issues in a source code base. A reference set for a known style issue includes source code examples that exhibit the style issue. The source code examples in the reference set are compared to the source code base, for example using string convolution. Based on the comparison, locations in the source code base that are likely to exhibit the style issue are identified. Various steps in the processing may be implemented using machine learning models, clustering or other automated data science techniques.
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公开(公告)号:US20190391880A1
公开(公告)日:2019-12-26
申请号:US16018000
申请日:2018-06-25
Applicant: Rubrik, Inc.
Inventor: Zhicong Wang , Benjamin Meadowcroft , Biswaroop Palit , Atanu Chakraborty , Hardik Vohra , Abhay Mitra , Saurabh Goyal , Sanjari Srivastava , Swapnil Agarwal , Rahil Shah , Mudit Malpani , Janmejay Singh , Ajay Arvind Bhave , Prateek Pandey
Abstract: 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.
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