Nutanix, Inc.

Venkata Vamsi Krishna Kothuri

Isha Singhal

Akshay Narayan Muramatti

Anurag Choudhary

Matthew James Armstrong

Kalpesh Ashok Bafna

Mausumi Ranasingh

Praveen Uday Bhaskara Pisipati

Yiran Deng

Prashant Batra

Binny Sher Gill

Himanshu Shukla

Sameer Narkhede

Rishabh Sharma

Aroosh Sohi

Rajesh P Bhatt

Akshay Deodhar

Mukesh Sohanlal Bafna

Alexander Michael Bunch

Manoj Badola

Shi Shu

Zhuoran Li

Amarsinh Vijaysinh Patil

Arvind Mohan

Ashish Ramdas Mankar

Nikita Vishwanath Shetty

Abhinay Nagpal

Rahul Singh

Varun Kumar Arora

Rohit Jayprakash Girme

Deepak Vankadaru

Ting Suk Lee

Atreyee Maiti

Kavitha Pasikanti

Alexander J Kaufmann

Sravan Kumar Muthyala

Deepa Tuteja Kakani

Hector Guillermo Cuellar Rios

Ribao Wei

Ziv Kennan

Luong Ngo

Jason Sims

Sangeeta Relan

Haresh Kripalani

Pawan Ghildiyal

Chaoyi Fu

In one embodiment, a system for managing a virtualization environment includes a set of host machines, each of which includes a hypervisor, virtual machines, and a virtual machine controller, one or more virtual disks comprising a plurality of storage devices, the one or more virtual disks being accessible by the virtual machine controllers, where the virtual machine controllers conduct I/O transactions with the virtual disks, and a deployment system configured to receive a request to deploy a virtualized file server on a plurality of host machines, where the request is associated with deployment parameters, select a deployment image for the host machines based on the deployment parameters, and provide the deployment image to each host machine via the virtual disk. The virtual machine controller located on the host machine stores at least a portion of the deployment image on a storage device associated with the host machine.

Virtualized file server deployment

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a node of a cluster on an edge network, an indication that the cluster received a configuration update, compare a first parameter of a configuration state of the node to a second parameter of the configuration update, determine if the first parameter matches the second parameter, in response to determining that the first parameter matches the second parameter, apply the configuration update, and collect data in accordance with the configuration update.

Edge side filtering in hybrid cloud environments

Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

System and method for managing clusters in an edge network

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to identify, at an edge network, resource consumption data including a status that indicates whether a service hosted on a cluster of nodes on the edge network is powered on, a type of a resource being consumed by the service, a quantity of the resource being consumed by the service, and a time stamp associated with the resource being consumed by the service and provide, to a remote server in communication with the edge network, the resource consumption data. In some embodiments, the remote server meters resource consumption based on the resource consumption data.

System and method for collecting consumption

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a server, from a cluster of nodes on an edge network in communication with the server, a resource consumption data of a service hosted on the edge network, determine, based on a metering policy, a unit of measurement, and calculate a resource consumption quantity according to the unit of measurement.

System and method for metering consumption

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to classify, on a cloud server, a plurality of clusters of an edge network based on one or more classification parameters, detect that a first cluster in a first datacenter of the edge network has an issue, determine a classification parameter value of the first cluster, determine that a second cluster in a second datacenter of the edge network has a second classification parameter value within a predetermined amount of the classification parameter value, and send an instruction to the second cluster to perform a remediation action.

Recommendation engine based on classification of virtualized workload

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to detect, on a cloud server, an indication to collect additional data from a cluster on an edge network coupled to the cloud server, send, to the cluster, a command to receive a command output, indicate, to the cluster, to send the command output as a type of data including at least one of raw data or parsed data, receive the command output in accordance with the command and the type of command output, and troubleshoot an issue of the cluster based on the command output.

Handling dynamic command execution in hybrid cloud environments

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to detect, on an edge network, a state change of a cluster including one or more edge processing units, identify a plurality of first configuration override rules from a first source and a plurality of second configuration rules from a second source, merge at least one first configuration override rule with at least one second configuration override rule to generate a plurality of third configuration override rules, update a configuration of the one or more edge processing units using the plurality of third configuration override rules, and collect data from the one or more edge processing units in accordance with the configuration update.

Intelligent telemetry data collection

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive a stored configuration state of a cluster, receive a snapshot of the configuration state of the cluster, determine that an entity of the cluster is different between the stored configuration state and the snapshot, determine that a first timestamp of the stored configuration state is less than a second timestamp of the snapshot, and send an indication that the entity is changed.

Reconciliation of the edge state in a telemetry platform

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to detect, on a server, a first symptom observable on a first one or more clusters. In some embodiments, the first symptom is indicative of an issue. In some embodiments, the instructions cause the processor to trigger additional data collection by a plurality of edge processing units for the first one or more of clusters, detect, in a second one or more clusters within the first one or more clusters, a second symptom indicative of the issue, and generate a remediation action for a third one or more clusters having the first symptom and the second symptom. In some embodiments, the second one or more clusters include the third one or more clusters.

Smart collection and processing in telemetry system

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to identify a first cluster and a second cluster. In some embodiments, each of the first cluster and the second cluster is on an edge network. In some embodiments, each of the first cluster and the second cluster has an issue. In some embodiments, the instructions cause the processor to send a first configuration update to the first cluster and, in response to determining that the issue is or is not resolved in the first cluster, send the first configuration update to the second cluster or change the first configuration update on the first cluster, respectively.

Cloud-controlled configuration of edge processing units

Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, on a cloud server coupled to a cluster on an edge network, a configuration state of the cluster, map the configuration state to a list of streams, send, to the cluster, the list of streams, and receive an indication that the cluster subscribed to the list of streams.

Server side filtering in hybrid cloud environments

In one embodiment, a system includes host machines that form elements of the virtualization environment, and that include a hypervisor, a user virtual machine (UVM), a connection agent, and an I/O controller. The system further includes a virtual disk comprising a plurality of storage devices, the virtual disk being accessible by all of the I/O controllers. At least one of host machines receives a request associated with one of the elements using an application programming interface (API), and including a context-specific identifier. The host machine determines, using reflection, a type of the context-specific identifier and processes the request based on a mapping, according to the determined type, from the context-specific identifier to a unique identifier associated with the element.

Identifying entities in a virtualization environment by converting heterogeneous string identifiers for interaction with a single API

A system and method include receiving, by a controller/service virtual machine, a first request associated with an element of a visualization environment using an application programming interface (API). The first request includes a context-specific identifier. The controller/service virtual machine resides on a host machine of the virtualization environment, and the element is operatively associated with the host machine. The system and method further include determining, by the controller/service virtual machine, a type of the context-specific identifier in the first request, and mapping, by the controller/service virtual machine, the context-specific identifier to a unique identifier associated with the element based upon the determined type.

Identifying entities in a virtualization environment

Growing community of inventors

San Jose, CA, United States of America

Venkata Vamsi Krishna Kothuri