公开(公告)号：US09843533B2

公开(公告)日：2017-12-12

申请号：US14640569

申请日：2015-03-06

Applicant: Jisto Inc.

Inventor： Andrey Turovsky ,  Aleksandr Biberman

IPC: G06F15/173 ,  H04L12/917 ,  H04L29/08 ,  H04L12/24 ,  H04L12/26

CPC classification number: H04L47/76 ,  H04L41/5012 ,  H04L43/0817 ,  H04L67/10

Abstract: Described are computer-based methods and apparatuses, including computer program products, for leveraging available compute resources from a plurality of computing devices using containers. Each computing device from the plurality of computing devices executes a container that virtualizes a portion of an operating system executing on the computing device such that the container can execute one or more secondary applications in isolation from any incumbent applications being executed by the operating system on the computing device that have priority over the one or more secondary applications.

公开(公告)号：US20240028488A1

公开(公告)日：2024-01-25

申请号：US18476006

申请日：2023-09-27

Applicant: Trilio Data, Inc.

Inventor： Muralidhara R. Balcha ,  David Safaii

IPC: G06F11/20

CPC classification number: G06F11/2025 ,  G06F2201/805

Abstract: A system and method for continuously restoring applications are disclosed. In some embodiments, the system comprises a production cluster with one or more applications running on the production cluster; one or more remote clusters configured to continuously restore the one or more applications running on the production cluster from a backup of each of the one orm ore applications; and an event target configured to communicate the production cluster and the one or more remote clusters, where each of the remote clusters and the production cluster comprises a syncher service and a watcher service executing thereon, and the backup is generated by a backup service on the production cluster based on a backup plan associated with each of the one or more applications. One or more graphical user interfaces may also be generated to display data related to continuous restore operations.

公开(公告)号：US11880282B2

公开(公告)日：2024-01-23

申请号：US17476393

申请日：2021-09-15

Applicant: Trilio Data, Inc.

Inventor： Muralidhara R. Balcha ,  Prashanto Jairaj Kochavara ,  David Safaii

IPC: G06F11/00 ,  G06F11/14

CPC classification number: G06F11/1469 ,  G06F11/1451 ,  G06F11/1461 ,  G06F2201/80

Abstract: A computer-implemented method of continuous restore for containerized applications includes initiating a continuous restore process for a containerized application having an application template and application data, where the containerized application executes on a first cluster. A backup plan for the containerized application is generated. A persistent volume containing the application data in the first cluster is identified and some of the application data is moved from the persistent volume to a backup target based on the backup plan schedule. The backup plan is received at a data synch process executing on a second cluster. A persistent volume is created on the second cluster. Some of the application data is moved from the backup target to the created persistent volume on the second cluster based on the backup plan schedule. The containerized application is recovered at the second cluster based on some of the application data moved to the persistent volume on the second cluster by the data synch process such that the recovered containerized application is operational at the most recent backup point-of-time of the backup plan schedule.

公开(公告)号：US20230082186A1

公开(公告)日：2023-03-16

申请号：US17476393

申请日：2021-09-15

Applicant: Trilio Data, Inc.

Inventor： Muralidhara R. Balcha ,  Prashanto Jairaj Kochavara ,  David Safaii

IPC: G06F11/14

Abstract: A computer-implemented method of continuous restore for containerized applications includes initiating a continuous restore process for a containerized application having an application template and application data, where the containerized application executes on a first cluster. A backup plan for the containerized application is generated. A persistent volume containing the application data in the first cluster is identified and some of the application data is moved from the persistent volume to a backup target based on the backup plan schedule. The backup plan is received at a data synch process executing on a second cluster. A persistent volume is created on the second cluster. Some of the application data is moved from the backup target to the created persistent volume on the second cluster based on the backup plan schedule. The containerized application is recovered at the second cluster based on some of the application data moved to the persistent volume on the second cluster by the data synch process such that the recovered containerized application is operational at the most recent backup point-of-time of the backup plan schedule.

公开(公告)号：US11288130B2

公开(公告)日：2022-03-29

申请号：US17206713

申请日：2021-03-19

Applicant: Trilio Data, Inc.

Inventor： Muralidhara R. Balcha ,  Prashanto Jairaj Kochavara ,  David Safaii ,  Vinod Patil ,  Ajay Nemade ,  Prafull Ladha ,  Abhisek Dwivedi ,  Madhur Nawandar ,  Sanjay Singh Shekhawat

IPC: G06F11/14 ,  G06F9/455

Abstract: A computer-implemented method of data protection for containerized applications includes initiating a backup process for a containerized application comprising an application template, application information, and application data. An application template associated with the application is saved to a first repository. Application information is identified and saved to a second repository. A persistent volume containing the application data is identified and at least some of the application data from the persistent volume is saved to a third repository. The application is then restored based on the saved template, application information and application data.

公开(公告)号：US20210149769A1

公开(公告)日：2021-05-20

申请号：US17098668

申请日：2020-11-16

Applicant: Trilio Data, Inc.

Inventor： Muralidhara R. Balcha ,  Prashanto Jairaj Kochavara ,  David Safaii ,  Vinod Patil ,  Ajay Nemade ,  Prafull Ladha ,  Abhisek Dwivedi ,  Madhur Nawandar ,  Sanjay Singh Shekhawat

IPC: G06F11/14 ,  G06F9/455

Abstract: A computer-implemented method of data protection for containerized applications includes initiating a backup process for a containerized application comprising an application template, application information, and application data. An application template associated with the application is saved to a first repository. Application information is identified and saved to a second repository. A persistent volume containing the application data is identified and at least some of the application data from the persistent volume is saved to a third repository. The application is then restored based on the saved template, application information and application data.

公开(公告)号：US10437681B2

公开(公告)日：2019-10-08

申请号：US14528215

申请日：2014-10-30

Applicant: Trilio Data, Inc.

Inventor： Muralidhara R. Balcha ,  Giridhar Basava ,  Sanjay Baronia

IPC: G06F11/14 ,  G06F9/455

Abstract: Featured are a method and apparatus for managing various point-in-time copies of workloads or applications using a software system called workload manager. An aspect of the invention is to receive backup images of point-in-time backup images of workload from a backup client and realize corresponding virtual resource from backup image on the cloud platform that is part of the workload manager appliance. Workload manager maintains catalog of point-in-time copies of workloads. Each item in the catalog refers resource entries on the cloud platform. When user wishes to instantiate a point-in-time copy, workload manager instantiates all the resources identified in the catalog entry. User can also restore a particular point-in-time workload to production system or migrate a particular point-in-time workload to remote application.

公开(公告)号：US10402187B2

公开(公告)日：2019-09-03

申请号：US15662649

申请日：2017-07-28

Applicant: Jisto Inc.

Inventor： Andrey Turovsky ,  Aleksandr Biberman

IPC: G06F8/61 ,  G06F8/65 ,  G06F8/71 ,  G06F9/445 ,  G06F9/455

Abstract: A bottom-up approach is taken to creating a condensed container, in which an automatic determination is made of the minimum set of requirements and dependencies, in forms of libraries and packages, for deployed applications/services and any corresponding user-specified content. The most fitting libraries and packages are merged with the applications/services, and the merged results are containerized using a minimized version of a container base image. Specialized unikernel generation includes automatically determining the minimum set of requirements and dependencies, in forms of libraries and packages, for the deployed applications/services and any corresponding user-specified content. The best available library operating system is identified, and compilation occurs to generate the unikernel. In effect, optimized (in terms of most fitting to applications/services, for any combination of size, speed, resource utilization, and performance) containers and unikernel images from applications/services by leveraging traditional unikernel technologies are produced.