Comm Vault Systems, Inc.

Jaya Rama Raju Inavolu

Manas Bhikchand Mutha

Parag Gokhale

Rahul S Pawar

Sri Karthik Bhagi

Dmitriy Borisovich Zakharkin

Prosenjit Sinha

Manoj Kumar Pradhan

Sanath Kumar

Arun Prabu Duraisamy

Vipul Pawale

Pushpendra Singh

Arun Prasad Amarendran

Prasad Nara

Bhavyan Bharatkumar Mehta

Shankarbabu Bhavanarushi

Chandresh Sharma

An information management system includes a storage manager for managing backup and/or restore operations for one or more client computing devices. The storage manager may be in communication with a resource administrator of a computing resource cluster, wherein the resource administrator instantiates one or more computing pods using the computing resource cluster. The resource administrator may receive a request for computing resources from the storage manager and provision the computing pods based on the request. The resource administrator may then select a pre-configured container image from one or more pre-configured container images based on the computing resource request, wherein the pre-configured container image configures a computing pod to create secondary copies of primary data from a particular primary data source of the information management system. The resource administrator may then communicate a message to the storage manager informing the storage of the availability of the provisioned computing pods.

Dynamically provisioning computing pods in a computing resource cluster based on a resource request from a storage manager of an information management system

An improved content indexing (CI) system is disclosed herein. For example, the improved CI system may include a distributed architecture of client computing devices, media agents, a single backup and CI database, and a pool of servers. After a file backup occurs, the backup and CI database may include file metadata indices and other information associated with backed up files. Servers in the pool of servers may, in parallel, query the backup and CI database for a list of files assigned to the respective server that have not been content indexed. The servers may then request a media agent to restore the assigned files from secondary storage and provide the restored files to the servers. The servers may then content index the received restored files. Once the content indexing is complete, the servers can send the content index information to the backup and CI database for storage.

Distributed framework for data proximity-based task splitting in a content indexing system

An improved content indexing system is disclosed herein that content indexing system combines the functionality of the backup metadata database and the content index database into a single backup and content index database to avoid the need to perform synchronization operations. By using a single backup and content index database, the content indexing system also reduces the computing performance costs that would be associated with the synchronization operations as the amount of indexed content increases, thereby solving scalability issues.

Distributed architecture for tracking content indexing

Distributed framework for task splitting and task assignments in a content indexing system

Distributed content indexing architecture with separately stored file previews

Distributed architecture for content indexing emails

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Jaya Rama Raju Inavolu