公开(公告)号：US11575579B2

公开(公告)日：2023-02-07

申请号：US15963082

申请日：2018-04-25

Applicant: Nutanix, Inc.

Inventor： Tanveer Singh Gill ,  Harjot Singh Gill ,  Jacques Arnoux ,  Cam Thi-Nguyet Nguyen ,  Saravana Soundararajan ,  Haolin Lu ,  Anh Thi-Nguyet Nguyen

IPC: H04L41/12 ,  H04L41/14 ,  H04L43/04 ,  H04L67/10 ,  H04L41/0893 ,  H04L67/75 ,  H04L67/133 ,  H04L41/046 ,  H04L41/5009 ,  H04L43/08

Abstract: In a distributed cloud environment, a collecting agent deployed external to a kernel of a compute host collects network data packets describing various raw events communicated between compute instances of the distributed cloud environment and metadata associated with the events from various sources. The collecting agent communicates the metadata to a cloud service where it may be stored. The collecting agent communicates the packets to a stream processor that is decoupled from the collecting agent. The stream processor processes the packets in a stateful manner to generate a set of time series data. The time series data is communicated to the cloud application, where a set of enhanced time series data is generated by merging the time series data with the metadata in a distributed manner. A topology map describing the compute instances of the distributed cloud environment is then generated based on the set of enhanced time series data.

公开(公告)号：US11855850B2

公开(公告)日：2023-12-26

申请号：US15963079

申请日：2018-04-25

Applicant: Nutanix, Inc.

Inventor： Tanveer Singh Gill ,  Harjot Singh Gill ,  Jacques Arnoux ,  Cam Thi-Nguyet Nguyen ,  Saravana Soundararajan ,  Haolin Lu ,  Anh Thi-Nguyet Nguyen

IPC: H04L41/12 ,  H04L67/10 ,  H04L41/0893 ,  H04L43/04 ,  H04L41/046 ,  H04L67/75 ,  H04L41/14 ,  H04L43/08 ,  H04L67/133 ,  H04L41/5009

CPC classification number: H04L41/12 ,  H04L41/0893 ,  H04L41/145 ,  H04L43/04 ,  H04L67/10 ,  H04L67/75 ,  H04L41/046 ,  H04L41/5009 ,  H04L43/08 ,  H04L67/133

Abstract: In a distributed cloud environment, a collecting agent deployed external to a kernel of a compute host collects network data packets describing various raw events communicated between compute instances of the environment and metadata associated with the events from various sources. The collecting agent communicates the metadata to a cloud application. The collecting agent also communicates the packets to a stream processor that is decoupled from the collecting agent. The stream processor processes the packets in a stateful manner to generate a set of time series data. The time series data is communicated to the cloud application, where a set of enhanced time series data is generated by merging the time series data with the metadata in a distributed manner. A topology map describing the compute instances of the distributed cloud environment is then generated based on the set of enhanced time series data. The topology map is then displayed.

公开(公告)号：US20180316568A1

公开(公告)日：2018-11-01

申请号：US15963082

申请日：2018-04-25

Applicant: Nutanix, Inc.

Inventor： Tanveer Singh GILL ,  Harjot Singh GILL ,  Jacques ARNOUX ,  Cam Thi-Nguyet Nguyen ,  Saravana SOUNDARARAJAN ,  Haolin LU ,  Anh Thi-Nguyet NGUYEN

IPC: H04L12/24 ,  H04L12/26 ,  H04L29/08

CPC classification number: H04L41/12 ,  H04L43/08 ,  H04L67/10 ,  H04L67/40

Abstract: In a distributed cloud environment, a collecting agent deployed external to a kernel of a compute host collects network data packets describing various raw events communicated between compute instances of the distributed cloud environment and metadata associated with the events from various sources. The collecting agent communicates the metadata to a cloud service where it may be stored. The collecting agent communicates the packets to a stream processor that is decoupled from the collecting agent. The stream processor processes the packets in a stateful manner to generate a set of time series data. The time series data is communicated to the cloud application, where a set of enhanced time series data is generated by merging the time series data with the metadata in a distributed manner. A topology map describing the compute instances of the distributed cloud environment is then generated based on the set of enhanced time series data.