Nutanix, Inc.

Harry Hai Yang

Shyama Sundar Duriseti

Himanshu Shukla

Zihong Lu

Karan Gupta

Amit Jain

Ranjan Parthasarathy

Abhinay Nagpal

Jie Li

Pavan Kumar Konka

Rahul Singh

Shyan-Ming Perng

Bryan Jeffrey Crowe

Deepak Vankadaru

Cong Liu

Paul Michael Digioia

Atreyee Maiti

Krishna Ganti

Rajesh Aavuty

Shamita Pisal

Sudhakar Kamanboina

Avinash Manjaya Shetty

Yang Xiao

Surendran Madheswaran

Sarah Hernandez

Shravan Satish Palyam

Sripradha Karkala

A system and method include receiving, by a troubleshooting system of a virtual computing system, a search query for troubleshooting a problem associated with a component of the virtual computing system. The search query is received via a troubleshooting interface of the troubleshooting system. The system and method also include parsing the search query, including associating a troubleshooting category with the parsed search query, determining possible causes of the problem from the troubleshooting category, and ranking the possible causes based on a pre-determined criteria. The system and method additionally include displaying a subset of highest ranked possible causes of the problem on the troubleshooting interface.

System and method for troubleshooting in a virtual computing system

A system and method include tracking virtual entities in a hybrid cloud system. The method includes receiving, at a management processor of a virtual hybrid computing system, a migration request to move a virtual entity from a first cloud sub-system to a second cloud sub-system; adding, by the management processor, a source proxy object representing the virtual entity exiting the first cloud sub-system to a first database, wherein the source proxy object includes a destination identifier and an exit time; executing, by the management processor, a logical migration of the virtual entity from the first cloud sub-system to the second cloud subsystem; receiving, at the management processor, a management query including a query time corresponding to a time for which status information of the virtual entity is requested; determining, at the management processor, whether the query time is before the exit time of the source proxy object; and invoking, from the management processor, a first management software application program interface (API) for the first cloud sub-system when the query time is before the exit time of the source proxy object.

Configuration management for hybrid cloud

A method and apparatus for data driven and cluster specific version/update control. The apparatus includes an automated multi-clusters management apparatus that interfaces with a plurality of remote clusters to provide data driven version/update control on a cluster by cluster basis. Generally, operation includes collection/identification of cluster specific data pertaining to software, hardware, and cluster requirements. The cluster specific data is later compared/analyzed against multi-cluster data pertaining to software releases, hardware characteristics, and known bugs/issues for each. The results of the comparison/analysis can then be ranked according to various metrics to different possible solutions and to differentiate the less desirable results from the more desirable results. Thus, the automated multi-cluster management apparatus provides for selection of versions/updates that is dependent on the cluster specific data. Additionally, the present disclosure provides for scheduling and distribution planning for selected versions/updates.

Method and apparatus for data driven and cluster specific version/update control

Systems for alerting in computing systems. A method commences by defining a plurality of analysis zones bounded by respective ranges of system metric values, which ranges in turn correspond a plurality of system behavior classifications. System observations are taken while the computing system is running. A system observation comprising a measured metric value is classified into one or more of the behavior classifications. Based on the classification, one or more alert analysis processes are invoked to analyze the system observation and make a remediation recommendation. An alert or remediation is raised or suppressed based on one or more zone-based analysis outcomes. An alert is raised when anomalous behavior is detected. The system makes ongoing observations to learn how and when to classify a measured metric value into normal or anomalous behaviors. As changes occur in the system configuration, the analysis zones are adjusted to reflect changing bounds of the zones.

Computing system monitoring

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Sunnyvale, CA, United States of America

Harry Hai Yang