Rubrik, Inc.

David Anthony Terei

Prateek Pandey

Sagar Kashinath Honnungar

Noel Moldvai

Jonathan Carlyle Derryberry

Sai Kiran Katuri

Manjunath Chinni

Hao Wu

Rohit Agrawal

Vikas Jain

Amelia Vu

Harish Raman Shanker

Pragyan Chakraborty

Ramya Thulasingam

Jun Xu

Vinay Patil

Charlotte Tong

Mohammad Bavarian

Jal Jalali Ekram

Pradeep Madhavarapu

Mahesh Kumar Chelimilla

Methods, systems, and devices for data management are described. A data management system (DMS) may create a first key family including a first key to encrypt and decrypt first data encryption keys associated with first data management jobs. The DMS may create a second key family after encrypting the first data encryption keys using the first key. A first key of the second key family may be used to encrypt and decrypt second data encryption keys that are associated with second data management jobs. The DMS may create a second key of both the first and second key families. The second key of the first key family may be used to decrypt the first data encryption keys. The second key of the second key family may be used to encrypt third data encryption keys and to decrypt the second data encryption keys and the third data encryption keys.

Unified key management

Methods and systems for improving data back-up, recovery, and search across different cloud-based applications, services, and platforms are described. A data management and storage system may direct compute and storage resources within a customer's cloud-based data storage account to back-up and restore data while the customer retains full control of their data. The data management and storage system may direct the compute and storage resources within the customer's cloud-based data storage account to generate and store secondary layers that are used for generating search indexes, to generate and store shared space layers and user specific layers to facilitate the deduplication of email attachments and text blocks, to perform a controlled restoration of email snapshots such that sensitive information (e.g., restricted keywords) located within stored snapshots remains protected, and to detect and preserve emails that were received or transmitted and then deleted between two consecutive snapshots.

Data management system with limited control of external compute and storage resources

Methods, systems, and devices for data management are described. A data management system (DMS) may determine to generate a backup instance of an application that includes multiple user accounts. The DMS may identify a time window for generation of the backup instance based on a set of backup parameters associated with the application. The DMS may calculate respective runtime durations for the user accounts based on respective quantities of data objects in the user accounts and respective backup job types associated with the data objects. The DMS may determine respective values of a semaphore parameter based on the respective runtime durations and the time window, where the semaphore parameter defines a threshold quantity of data objects to be processed in parallel. The DMS may generate the backup instance of the application based on processing the user accounts in accordance with the respective values of the semaphore parameter.

Dynamic resource scaling for large-scale backups

A data management system (DMS) may facilitate snapshot exports between a snapshot storage account and a computing system. The DMS may receive, from the computing system, a request to download data associated with one or more snapshots stored in the snapshot storage account in a first cloud environment. The DMS may generate an export job for execution by one or more computing resources within the first cloud environment based on the request. The export job may be operable to decrypt the data and write the decrypted data to an export storage account in a second cloud environment. The DMS may generate an encrypted download link that is operable to download the decrypted data from the export storage account. The DMS may transmit the encrypted download link to the computing system associated with the request to download the data.

Snapshot export from software as a service platforms

Methods, systems, and devices for data management are described. A data management system may include a control-plane common to multiple customers, where customer data for each customer is stored on a private data plane (e.g., at a remote node cluster). Each node cluster includes a controller which manages the nodes of the node cluster. A taskchain controller of the control plane may directly communicate with the nodes of the multiple node clusters, for example, via respective proxy services hosted at the node controllers or via respective service buses. The taskchain controller may communicate a command to add a new node to the node controller, and the node controller may create a new node based on the command. Future communications (e.g., commands to perform data protection tasks such as backup or restore operations) may be routed to the node via the proxy service or a service bus.

Reliable and high-performance connectivity between control-planes and data-planes for a data management system

Systems and methods for cloud object storage and versioning are provided. In an example, a cloud object storage and versioning system (COSVS) coordinates insertion of metadata into a database and data into an object store in a compute infrastructure, the compute infrastructure including the database, the object store, a data source, and a client application interacting with the data source. The COSVS has an architecture comprising a client API layer confined to provide an interface to the client application to facilitate storing or restoring of items originally obtained from the data source, and query different versions of item content originally obtained from the data source; a deduplication layer to deduplicate item content and store items originally obtained from the data source devoid of external item metadata or semantic relations among items; and a packing layer confined to store and retrieve bytes of item or object content.

Cloud object storage and versioning system

Adaptable multi-layered storage for generating search indexes

Growing community of inventors

San Francisco, CA, United States of America

David Anthony Terei