Nutanix, Inc.

Naveen Reddy Gundlagutta

Karan Gupta

Manik Taneja

Johnu George

Satyendra Singh Naruka

Manosiz Bhattacharyya

Gowtham Alluri

Anoop Jawahar

Anshul Nirmalendu Purohit

Rajesh Aavuty

Nikhil Mundra

Sirvisetti Venkat Sri Sai Ram

Biswaranjan Panda

A system and method for implementing an objects browser is disclosed. The system and method include receiving a request through the objects browser of a first object store to perform an operation on either the first or a second object store. The first and second object stores are part of a federated namespace. The system and method further include making an API request to an objects server, determining whether the API request is to access the first object store or the second object store, and providing access to the first object store responsive to determining that the API request is to perform the operation on the first object store or route the API request to the second object store to perform the operation on the second object store responsive to determining that the API request is to perform the operation on the second object store.

System and method for accessing federated object stores

An illustrative embodiment disclosed herein is an apparatus including a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to upload an object to a source bucket in an object store and create a lambda bucket in the object store that is symlinked to the source bucket. In some embodiments, the lambda bucket is associated with a predefined transformation. In some embodiments, the memory includes the programmed instructions that, when executed by the processor, cause the apparatus to receive a request to download the object from the lambda bucket, detect that the object is in the source bucket, fetch the object from the source bucket, transform the object, by compute resources of the object store, using the predefined transformation, and download the transformed object.

System and method for lambda buckets

An illustrative embodiment disclosed herein is a computer-implemented method. In some embodiments, the method includes uploading, by a processor, an object to a source bucket in an object store and creating, by the processor, a lambda bucket in the object store that is symlinked to the source bucket. In some embodiments, the lambda bucket is associated with a transformation function. In some embodiments, the method includes associating, by the processor, a lambda function with the object in the source bucket, receiving, by the processor, a request to download the object from the lambda bucket, detecting, by the processor, that the object is in the source bucket and associated with the lambda function, fetching, by the processor, the object from the source bucket, generating, by the processor, a transformed object by invoking the lambda function and the transformation function on the object, and downloading, by the processor, the transformed object.

System and method for object lambda functions

An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to maintain an object store including a primary cluster having one or more compute resources and one or more first storage resources, identify a secondary cluster having one or more second storage resources, select the secondary cluster to be added to the object store, allocate an available portion of the one or more second storage resources to the object store, and shard an object across the one or more second storage resources and the available portion of the one or more second storage resources.

System and method for multi-cluster storage

Systems for distributed computing systems. A topological configuration of computing nodes is selected to manage availability of metadata data in a computing system. A method embodiment commences by accessing a plurality of node topology attributes and using those attributes to map between nodes and availability domains. Resource usage measurements such as computing node load are collected. A plurality of candidate replication configurations are generated, and each candidate replication configuration is scored with respect to several quantitative objectives. Additionally, the candidate replication configurations are given respective resource usage balance scores. One or more candidate replication configurations are selected based on resource usage balance scores and/or a separation skew value. Determination of a selected configuration is dominated by resource usage when there is a tie between best-scoring configurations or when none of the configurations meet a scoring threshold. Recalculation of configurations are triggered by an administrative command or by a topology change.

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Bengaluru, India

Naveen Reddy Gundlagutta