Comm Vault Systems, Inc.

Manas Bhikchand Mutha

Jun H Ahn

Prosenjit Sinha

Pavan Kumar Reddy Bedadala

Rahul S Pawar

Vipul Pawale

Parag Gokhale

Sri Karthik Bhagi

Dmitriy Borisovich Zakharkin

Manoj Kumar Pradhan

Arun Prabu Duraisamy

Jaya Rama Raju Inavolu

Pushpendra Singh

Vinit Dilip Dhatrak

Sanath Kumar

Christopher A Alonzo

Yan Liu

Henry Wallace Dornemann

Anup Kumar

Priya Sundaresan

Arun Prasad Amarendran

Prakash Varadharajan

Hetal Kapadia

Amit Mitkar

Ho-Chi Chen

Sanjay Kumar

Tirthankar Chatterjee

Sumedh Pramod Degaonkar

Pavlo Mazur

Yongtao Liu

Chitra Ramaswamy

Amit Mahajan

Pu Patrick Ou

Jatin Kirtikumar Sanghvi

Rajiv Kottomtharayil

Prasad Nara

Bhavyan Bharatkumar Mehta

Shankarbabu Bhavanarushi

N Robert Hammer

Sunghyun Wang

Chandresh Sharma

Pavan Kumar Bedadala

Systems and methods are described herein for graphically representing an information management system based on the characteristics of within the system. The systems and methods interface with various components of the system (e.g., administrative components, index components, and so on) to identify data having certain characteristics (e.g., personal data), and generate or render information (e.g., a heat map or other visual display) that represents areas or locations within the system storing the data. Thus, the systems and methods, in some embodiments, generate or create a data-specific view into the information management system.

Graphical representation of an information management system

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.

Scaled deployment of data protection resources for data originating in an application orchestrator

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 information management system according to certain aspects may be configured to generate a snapshot of data relating to a plurality of applications. The system may include a plurality of data agents, wherein each data agent is associated with at least one of a plurality of applications, and data generated by the plurality of applications is stored in a logical volume in primary storage. The system may also include a snapshot manager configured to detect the plurality of applications; check with the plurality of data agents whether the associated applications are in consistent states; obtain a snapshot of the logical volume in response to receiving notifications from the plurality of data agents that the associated applications are in consistent states; and generate mapping information between a particular one of the plurality of applications and a portion of the snapshot relating to the particular one of the plurality of applications.

Single snapshot for multiple applications

Systems and methods for providing and/or facilitating live browsing of granular mail or mailbox data, such as data stored within Exchange mailboxes, are described. For example, the systems and methods may provide mechanisms for browsing and/or restoring granular data (e.g., email data) from an Exchange database backup copy (or other secondary copy), without having to restore the entire database from the backup copy.

Live browsing of granular mailbox data

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

Using an application orchestrator computing environment for automatically scaled deployment of data protection resources needed for data in a production cluster distinct from the application orchestrator or in another application orchestrator computing environment

A system for providing user access to electronic mail includes an email client and an email server. The email client receives and communicates a user interaction with an email message The email server that receives the communication, determines whether the email message stored in a live database or in a backup storage. Upon determination that the email message is stored in a backup storage, the email server performs a message exchange with a backup storage system to perform the user-requested action.

Techniques for serving archived electronic mail

According to certain aspects, a secondary computing system can be configured to perform a full backup on database data, generate incremental backups comprising log files associated with modifications to the database data, and create a differential full backup copy of the database data using the full backup copy and changed blocks identified using the log files from the incremental backups.

Managing structured data in a data storage system

An information management system allows a user to search through a secondary copy of data, such as a backup, archive, or snapshot without first retrieving the secondary copy of data. Instead, the system constructs lightweight data that can be displayed to a user as a representation of the search results. Lightweight data may include metadata or other information that identifies data included in the secondary copy of data. The lightweight data may be perceived as being the secondary copy of data and allow a user to browse through search results. Once the user identifies a search result that is of interest, information in the lightweight data can be used to retrieve the secondary copy of data. Because lightweight data may have a smaller file size than the file size of the secondary copy of data, the latency of performing a search may be reduced.

Lightweight data reconstruction based on backup data

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

Systems and methods for performing backup operations and other secondary copy operations for mail servers, such as Exchange servers, are described. In some cases, the systems and methods perform multi-streaming backup and other copy operations using a single mailbox agent, which launches backup streams via a coordinator that determines when to launch streams, at what mailboxes (or folders) to launch the streams, and so on. The coordinator communicates with controllers at different machines (e.g., servers) to be backed up, and may assign streams, mailboxes, and so on, to the different controllers, which perform the backup operations for their assigned mailboxes and/or clients.

Multi-streaming backup operations for mailboxes

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Tinton Falls, NJ, United States of America

Manas Bhikchand Mutha