Trilio Data, Inc.

Trillo Data, Inc.

Muralidhara R Balcha

Giridhar Basava

Sanjay Baronia

David Safaii

Prashanto Jairaj Kochavara

Ajay Nemade

Sanjay Singh Shekhawat

Prafull Ladha

Abhisek Dwivedi

Vinod Patil

Madhur Nawandar

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.

Container-based application data protection method and system

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.

Method and apparatus of managing application workloads on backup and recovery system

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.

A scalable de-duplication file system divides the file system into data and metadata stores where each store is built on scale out architectures. Each store is not a single module, but a collection of identical modules that together creates one large store. By scaling metadata store and chunk store, the file system can be scaled linearly without compromising the file system performance. Deduplication logic identifies a chunk location for each stored chunk, and stores, for each identifier, an index of the chunk location associated with the corresponding identifier, such that the stored index for similar chunk ids points to the same chunk location. In this manner, duplicate chunks or blocks of data are referenced merely by pointer or indexes, rather than redundantly duplicating storage for each instantiation or copy of similar data.

Scalable de-duplication (dedupe) file system

A VM (Virtual Machine) backup calculates, for each of the VMs, a set of blocks corresponding to the VM for inclusion in a backup, such that the set of blocks is calculated according to a prioritized sequence of operations based on a storage array connected to the computing node. The method traverses each of the calculated set of blocks, in which the set of blocks is taken at a common point in time for each VM, and stores the traversed blocks in a backup format configured for restoring the VM corresponding to the set of blocks by restoring the blocks and corresponding blocks at the common point in time. The prioritized sequence of operations allows the most efficient approach to be attempted first, but ensuring robust coverage by attempting successive 'fallback' approaches so that effective coverage of all VMs occurs.

Growing community of inventors

Upton, MA, United States of America

Muralidhara R Balcha