公开(公告)号：US20230124827A1

公开(公告)日：2023-04-20

申请号：US17501881

申请日：2021-10-14

Applicant: Commvault Systems, Inc.

Inventor： Henry Wallace DORNEMANN ,  Sagar Mardur DASHARATHA ,  Sanjay KUMAR ,  Amit MITKAR ,  Ashwin Gautamchand SANCHETI ,  Prasanna Kumar THOPPE RAVINDRAN ,  Sanjay VISHWAKARMA

IPC: G06F11/14 ,  G06F9/455

Abstract: The disclosed “Live Mount In Cloud” solution enables, within a cloud computing environment that houses a desired backup copy made from a source virtual machine, immediate access to backed up data on demand without restoring the backup copy in its entirety. Live Mount In Cloud also enables the live-mounted VM to write new data, not just to read from the backup copy. Live Mount In Cloud creates multiply nested VMs within the cloud computing environment. Accordingly, the live-mounted VM runs in (is hosted by) a hypervisor nested within a cloud-native VM. Live Mount In Cloud handles any differences between formatting and configuration settings of the hypervisor hosting the live-mounted VM and the way in which the backup copy is formatted. A backup proxy VM intercepts reads and writes issued by the live-mounted VM and facilitates access to the backup copy.

公开(公告)号：US20250165355A1

公开(公告)日：2025-05-22

申请号：US18934284

申请日：2024-11-01

Applicant: Commvault Systems, Inc.

Inventor： Amit Mitkar ,  Chandrakant AGARKAR ,  Jun H. AHN ,  Henry Wallace DORNEMANN ,  Andrei EROFEEV ,  Lawrence Fisher ,  Parag GOKHALE ,  Amey Vijaykumar KARANDIKAR ,  Sanath KUMAR ,  Sanjay KUMAR ,  Manoj Kumar PRADHAN ,  Mahesh PRAKASH RAO

IPC: G06F11/14 ,  G06F21/64

Abstract: Because Kubernetes clusters can be ephemeral, backing up in-cluster data to storage outside the cluster is important. Prior art solutions used the cluster's API server, which facilitates communications with the cluster control plane, to transfer backup data through the API server. However, the API server as a data transfer node has resiliency weaknesses and can slow down backup job performance. The present solution provides a more streamlined and scalable approach, which circumvents the API server and additionally includes more robust error checking, log capture, and realtime job monitoring to provide improved data protection resilience. The disclosed approach employs a “sponsor” data agent outside the cluster and temporarily deploys a specialized backup resource within the cluster during a backup job, such as a lightweight Kubernetes File Client and/or an enhanced File System Data Agent, both of which present substantial performance and resiliency advantages over the API server.

公开(公告)号：US20250165352A1

公开(公告)日：2025-05-22

申请号：US18934285

申请日：2024-11-01

Applicant: Commvault Systems, Inc.

Inventor： Amit Mitkar ,  Chandrakant AGARKAR ,  Jun H. AHN ,  Henry Wallace DORNEMANN ,  Andrei EROFEEV ,  Lawrence Fisher ,  Parag GOKHALE ,  Amey Vijaykumar KARANDIKAR ,  Sanath KUMAR ,  Sanjay KUMAR ,  Manoj Kumar PRADHAN ,  Mahesh PRAKASH RAO

IPC: G06F11/14 ,  G06F21/64

Abstract: Because Kubernetes clusters can be ephemeral, backing up in-cluster data to storage outside the cluster is important. Prior art solutions used the cluster's API server, which facilitates communications with the cluster control plane, to transfer backup data through the API server. However, the API server as a data transfer node has resiliency weaknesses and can slow down backup job performance. The present solution provides a more streamlined and scalable approach, which circumvents the API server and additionally includes more robust error checking, log capture, and realtime job monitoring to provide improved data protection resilience. The disclosed approach employs a “sponsor” data agent outside the cluster and temporarily deploys a specialized backup resource within the cluster during a backup job, such as an enhanced File System Data Agent and/or a lightweight Kubernetes File Client, both of which present substantial performance and resiliency advantages over the API server.

公开(公告)号：US20230367624A1

公开(公告)日：2023-11-16

申请号：US18351058

申请日：2023-07-12

Applicant: Commvault Systems, Inc.

Inventor： Sanjay KUMAR ,  Sumedh Pramod DEGAONKAR

IPC: G06F9/455

CPC classification number: G06F9/45558 ,  G06F2009/45575 ,  G06F2009/45595 ,  G06F2009/4557 ,  G06F2009/45579

Abstract: Live mounting a virtual machine (VM) causes the VM to run off a backup copy or snapshot previously taken of a “live” production VM. The live-mounted VM is generally intended for temporary use such as to validate the integrity and contents of the backup copy for disaster recovery validation, or to access some contents of the backup copy from the live-mounted VM without restoring all backed up files. These uses contemplate that changes occurring during live mount are not preserved after the live-mounted VM expires or is taken down. Thus, live mounting a VM is not a restore operation and usually does not involve access to every block of data in the backup copy. However, live mounting provides live VM service in the cloud sooner than waiting for all of the backup copy/snapshot to be restored.

公开(公告)号：US20230297403A1

公开(公告)日：2023-09-21

申请号：US17698811

申请日：2022-03-18

Applicant: Commvault Systems, Inc.

Inventor： Sanjay KUMAR

IPC: G06F9/455 ,  G06F9/4401 ,  G06F9/50

CPC classification number: G06F9/45558 ,  G06F9/4411 ,  G06F9/5072 ,  G06F2009/45583

Abstract: A native cloud-based VM in a cloud computing environment of choice is live-mounted without requiring nesting techniques. All operating system data needed to live-mount the VM is accessed over ISCSI. The disclosed technology: supports both Windows and Unix-like (e.g., Linux) operating systems; handles any number of partitions of the root file system without repeated mounting, exporting, and unmounting; and uses only internet protocols (e.g., HTTP, (SCSI) to live-mount the VM. The live-mounted VM gains access to a variety of secondary copies, e.g., made with file-level techniques or with block-level techniques, made within or outside the public cloud computing environment, made from other VMs having the same or a different hypervisor than the public cloud computing environment, and/or made from non-virtualized sources. Access to snapshots as a data source for the live-mounted VM is also disclosed. Thus, a streamlined and source-agnostic technology is disclosed for live-mounting VMs in a public cloud.

公开(公告)号：US20230168976A1

公开(公告)日：2023-06-01

申请号：US18052513

申请日：2022-11-03

Applicant: Commvault Systems, Inc.

Inventor： Sanjay KUMAR ,  Sumedh Pramod DEGAONKAR

IPC: G06F11/14 ,  G06F9/455 ,  G06F11/30

CPC classification number: G06F11/1484 ,  G06F11/1451 ,  G06F11/1469 ,  G06F9/45558 ,  G06F11/3034 ,  G06F2201/84 ,  G06F2009/45591

Abstract: Aspects of the present disclosure enable data protection operations including differential and incremental backups by performing changed-block tracking in network or cloud computing systems with architectures that do not natively support changed-block tracking or do not expose changed-block tracking functionality to an information management system. In certain aspects, an identity of changed blocks may be obtained by using a hypervisor configured to interface with the cloud computing architecture. The identified changed blocks may be used to generate a map of the changed blocks. The maps of the changed blocks can be used by a virtual server agent to extract the changed blocks from a copy of a virtual machine disk and backed up to perform a differential or incremental backup.

公开(公告)号：US20230043336A1

公开(公告)日：2023-02-09

申请号：US17745731

申请日：2022-05-16

Applicant: Commvault Systems, Inc.

Inventor： Amit MITKAR ,  Sanjay KUMAR ,  Manas Bhikchand MUTHA ,  Sumedh Pramod DEGAONKAR

IPC: G06F3/06

Abstract: Data protection resources are automatically scaled to the needs of data source(s) in an application orchestrator computing environment, such as a cluster in a Kubernetes deployment. The approach is adaptable to data sources in production clusters or application suites that are not application orchestrator deployments, such as a cloud-based database-as-a-service (DBaaS). A data storage management system protects cluster-based data with an elastic number of data protection resources (e.g., data agents, media agents), which are deployed on demand. The number of data protection resources deployed for a particular job are appropriate to the workload(s) at present and depend on a variety of scaling factors. In some embodiments, data protection resources are deployed within the same cluster as the data sources. In other embodiments, a separate infrastructure cluster provides the data protection resources on demand, and connects to any number and types of data sources, whether cloud-based or otherwise, without limitation.

公开(公告)号：US20210357132A1

公开(公告)日：2021-11-18

申请号：US17131049

申请日：2020-12-22

Applicant: Commvault Systems, Inc.

Inventor： Sanjay KUMAR ,  Sumedh Pramod DEGAONKAR

IPC: G06F3/06 ,  G06F11/14

Abstract: Live recovery generates a new “recovery VM” that operates as an ongoing “live” production platform. A previously created non-cloud-native backup copy is the data source for the recovery VM. Live recovery restores data blocks from the backup copy on backup media directly to cloud-based virtual disk(s) assigned to the recovery VM. As a result, the cloud-based recovery VM can become fully operational in the cloud computing environment on a going-forward basis. The advantage of live recovery over a traditional restore is that live recovery provides a cloud-based VM that begins operating well before the backup copy is fully restored. This is accomplished by temporarily mounting a “temp-mounted VM” in the cloud while the backup copy is methodically restored in the background. VM reads and writes begin issuing from the temp-mounted VM and writes are retained on completion. Downtime is minimized when switching from the temp-mounted VM to the recovery VM.

公开(公告)号：US20240289059A1

公开(公告)日：2024-08-29

申请号：US18654590

申请日：2024-05-03

Applicant: Commvault Systems, Inc.

Inventor： Amit MITKAR ,  Manas Bhikchand MUTHA ,  Sanjay KUMAR ,  Sumedh Pramod DEGAONKAR

IPC: G06F3/06

CPC classification number: G06F3/0659 ,  G06F3/0604 ,  G06F3/0631 ,  G06F3/067

Abstract: Data protection resources are automatically scaled to the needs of data source(s) in an application orchestrator computing environment, such as a cluster in a Kubernetes deployment. The approach is adaptable to data sources in production clusters or application suites that are not application orchestrator deployments, such as a cloud-based database-as-a-service (DBaaS). A data storage management system protects cluster-based data with an elastic number of data protection resources (e.g., data agents, media agents), which are deployed on demand. The number of data protection resources deployed for a particular job are appropriate to the workload(s) at present and depend on a variety of scaling factors. In some embodiments, data protection resources are deployed within the same cluster as the data sources. In other embodiments, a separate infrastructure cluster provides the data protection resources on demand, and connects to any number and types of data sources, whether cloud-based or otherwise, without limitation.

公开(公告)号：US20210011812A1

公开(公告)日：2021-01-14

申请号：US16924002

申请日：2020-07-08

Applicant: Commvault Systems, Inc.

Inventor： Amit MITKAR ,  Sumedh Pramod DEGAONKAR ,  Sanjay KUMAR ,  Shankarbabu BHAVANARUSHI ,  Vikash KUMAR

IPC: G06F11/14 ,  G06F9/455

Abstract: A “backup services container” comprises “backup toolkits,” which include scripts for accessing containerized applications plus enabling utilities/environments for executing the scripts. The backup services container is added to Kubernetes pods comprising containerized applications without changing other pod containers. For maximum value and advantage, the backup services container is “over-equipped” with toolkits. The backup services container selects and applies a suitable backup toolkit to a containerized application to ready it for a pending backup. Interoperability with a proprietary data storage management system provides features that are not possible with third-party backup systems. Some embodiments include one or more components of the proprietary data storage management within the illustrative backup services container. Some embodiments include one or more components of the proprietary data storage management system in a backup services pod configured in a Kubernetes node. All configurations and embodiments are suitable for cloud and/or non-cloud computing environments.