Rubrik, Inc.

Prateek Pandey

Sai Kiran Katuri

David Anthony Terei

Dharma Teja Bankuru

Jonathan Carlyle Derryberry

Vikas Jain

Pragyan Chakraborty

Hao Wu

Jihang Lim

Rohit Agrawal

Amelia Vu

Rajesh Kumar Jaiswal

Ramya Thulasingam

Mahesh Kumar Chelimilla

Methods, systems, and devices for data management are described. The method may include determining, by a backup management system and for computing objects that are each associated with a respective application, respective quantities of computing objects associated with each application, determining a quantity of shards to use to back up the computing objects based on an upper limit and a first respective quantity of computing objects for a first application having a highest respective quantity of computing objects, mapping computing objects associated with the first application to each shard, mapping computing objects associated with the other applications to a respective subset of the shards based on the respective quantity of computing objects for the other application and the upper limit, and causing the set of computing objects to be backed up to the quantity of shards of the storage system in accordance with the mapping.

Application-aware adaptive sharding for data backup

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

A data management system may support techniques for immutable storage of snapshot data entities, which may each include data corresponding to one or more snapshots, in a cloud environment. The data management system may determine respective retention periods and respective immutability periods for the snapshot data entities. The data management system may extend the respective immutability period for a first snapshot data entity based on the respective retention period for the first snapshot data entity being greater than or equal to a threshold duration. Additionally or alternatively, the data management system may maintain (refrain from extending) the respective immutability period for a second snapshot data entity based at least in part on the respective retention period for the second snapshot data entity being less than the threshold duration.

Immutable storage of snapshot data in a public cloud environment

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

A data management system (DMS) may support the backing up of scalable computing objects, such as hierarchical computing objects. For example, the DMS may backup a computing system and facilitate that capture and storage of snapshots of the computing system. The DMS may determine to capture a first snapshot of a computing object within the computing system. The DMS may identify components corresponding to respective portions of the computing object and cause the computing system to generate respective snapshots of the components. That is, the DMS may cause the computing system to generate multiple individual snapshots that together may constitute snapshot of the computing object. The DMS may generate the first snapshot that includes metadata for the snapshots of the components. The metadata may include a first identifier for the first snapshot and respective identifiers for the respective snapshots of the components.

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Bengaluru, India

Prateek Pandey