Nutanix, Inc.

Bharath Kumar Beedu

Naveen Kumar

Karan Gupta

Angshuman Bezbaruah

Pranab Patnaik

Himanshu Shukla

Abhinay Nagpal

Sudish Kumar Sah

Kiran Tatiparthi

Mayur Vijay Sadavarte

Varun Kumar Arora

Ankush Jindal

Praveen Kumar Padia

Pranay Ega

Ganesh Sahukari

A system and method for protecting entities of an availability zone include creating, by a policy engine associated with a virtual computing system, a protection policy definition for replicating a first set of entities of a first availability zone of the virtual computing system to a second availability zone of the virtual computing system. Each of the first set of entities is associated with a first common tag and the first set of entities are spread across first multiple clusters of the first availability zone. The system and method further include capturing, by the policy engine, a first plurality of snapshots of each of the first set of entities in the first availability zone in accordance with a first recovery point objective parameter and storing, by the policy engine, at least one copy of the first plurality of snapshots in the second availability zone.

System and method for protection of entities across availability zones

A system and method for capturing high frequency snapshots of an entity includes creating, by a storage sub-system associated with a distributed storage system of a virtualized environment, a cached configuration of an entity within the storage sub-system, capturing, by the storage sub-system, a snapshot of the entity from the cached configuration based on a schedule of a snapshot policy, including sending, by the storage sub-system, the snapshot to a repository indicated in the snapshot policy, and determining, by the storage sub-system, that a configuration file associated with the entity has been updated. The system and method also includes updating, by the storage sub-system, the cached configuration based upon the configuration file that has been updated.

System and method for creating high frequency snapshots of an entity in a virtualized environment

Systems and methods for scheduling storage management tasks over predicted user tasks in a distributed storage system. A method commences upon receiving a set of historical stimulus records that characterize management tasks that are run in the storage system. A corresponding set of historical response records comprising system metrics associated with execution of the system tasks is also received. A learning model is formed from the stimulus records and the response records and formatted to be used as a predictor. A set of forecasted user tasks is input as new stimulus records to the predictor to determine a set of forecasted system metrics that would result from running the forecasted user tasks. Management tasks are selected so as not to impact the forecasted user tasks. Management tasks can be selected based on non-contentions resource usage between historical management task resource usage and predictions of resource usage by the user tasks.

Dynamic scheduling of distributed storage management tasks using predicted system characteristics

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Bengaluru, India

Bharath Kumar Beedu