Application monitoring for cloud-based architectures

Patent metadata

Field	Value
Publication number	US-10749939-B2
Application number	US-201816205764-A
Country	US
Kind code	B2
Filing date	Nov 30, 2018
Priority date	Dec 21, 2012
Publication date	Aug 18, 2020
Grant date	Aug 18, 2020

Abstract

An example system may include one or more collectors and an analyzer. The one or more collectors receive a plurality of data streams that include operational data for a plurality of application nodes. The plurality of data streams are captured and provided by a plurality of meters deployed on at least one cloud computing platform to respectively meter the plurality of application nodes. The analyzer processes the plurality of data streams to generate real-time performance data for a first application of a plurality of applications and generates, based on the real-time performance data for the application instances, statistics for data flows between components of the first application. The analyzer generates comparative statistics on the performance of the first application relative to the performance of the plurality of applications hosted, and reallocated, based on the comparative statistics, resources for the performance of the first application.

First claim

What is claimed is:

1. A computer-implemented method comprising:
deploying a meter on each of a plurality of server instances in a cloud network, the plurality of server instances hosting a corresponding plurality of application instances of a first application being executed on the cloud network;
capturing, via the meter, data streams that include operational data of the plurality of application instances;
processing the data streams corresponding to the plurality of application instances to generate performance data for the first application, the performance data including one or more performance metrics describing the corresponding performance of each of the plurality of application instances;
generating, based on the performance data for the first application, comparative statistics on the performance of the first application relative to the performance of a second application executed on the cloud network; and
reallocating, based on the comparative statistics, resources on the cloud network for execution of the first application.

2. The computer-implemented method of claim 1 , further comprising:
grouping the data streams corresponding to the plurality of application instances as being associated with the first application.

3. The computer-implemented method of claim 1 , wherein the processing of the data streams to generate the performance data includes using network traffic data included in the data streams to generate a dynamic application topology, and wherein the dynamic application topology automatically maps resources being used by the first application and identifies changes to the application topology as the changes occur.

4. The computer-implemented method of claim 1 , further comprising:
analyzing the data streams across a plurality of entities;
generating insights across the plurality of entities based on the analyzing; and
including the insights across the plurality of entities in the performance data of the first application.

5. The computer-implemented method of claim 4 , wherein the entities include one or more cloud computing platforms and one or more customers, and wherein the insights across the plurality of entities include comparative insights that compare a performance of one or more aspects of the cloud computing platforms and customers, the aspects including one or more of an application, an infrastructure, a network, an Internet Protocol (IP) service, an operating system, a platform stack, an architecture, and a geographical region.

6. The computer-implemented method of claim 1 , further comprising:
determining an event to monitor for the first application;
setting a threshold for the event;
monitoring the data streams for one or more instances of the event;
determining the threshold to be satisfied by the one or more instances of the event; and
indicating that the event has occurred.

7. The computer-implemented method of claim 6 , wherein the determining the event and the setting the threshold include automatically monitoring the data streams over time to determine an application trend and setting the threshold based on the application trend.

8. A computer program product comprising a non-transitory computer usable medium including a computer-readable program, wherein the computer-readable program when executed on a computer causes the computer to:
deploy a meter on each of a plurality of server instances in a cloud network, the plurality of server instances hosting a corresponding plurality of application instances of a first application being executed on the cloud network;
capture, via the meter, data streams that include operational data of the plurality of application instances;
process the data streams corresponding to the plurality of application instances to generate performance data for the first application, the performance data including one or more performance metrics describing the corresponding performance of each of the plurality of application instances;
generate, based on the performance data for the first application, comparative statistics on the performance of the first application relative to the performance of a second application executed on the cloud network; and
reallocate, based on the comparative statistics, resources on the cloud network for execution of the first application.

9. The computer program product of claim 8 , wherein the computer-readable program, when executed on the computer, further causes the computer to:
group the data streams corresponding to the plurality of application instances as being associated with the first application.

10. The computer program product of claim 8 , wherein to process the data streams to generate the performance data the computer uses network traffic data included in the data streams to generate a dynamic application topology, and wherein the dynamic application topology automatically maps resources being used by the first application and identifies changes to the application topology as the changes occur.

11. The computer program product of claim 8 , wherein the computer-readable program, when executed on the computer, further causes the computer to:
analyze the data streams across a plurality of entities; and
generate insights across the plurality of entities based on the analyzing, wherein the performance data includes the insights across the plurality of entities.

12. The computer program product of claim 11 , wherein the entities include one or more cloud computing platforms and one or more customers, and wherein the insights across the plurality of entities include comparative insights that compare a performance of one or more aspects of the cloud computing platforms and customers, the aspects including one or more of an application, an infrastructure, a network, an Internet Protocol (IP) service, an operating system, a platform stack, an architecture, and a geographical region.

13. The computer program product of claim 8 , wherein the computer-readable program, when executed on the computer, further causes the computer to:
determine an event to monitor for the first application;
set a threshold for the event;
monitor the data streams for one or more instances of the event;
determine the threshold to be satisfied by the one or more instances of the event; and
indicate that the event has occurred.

14. The computer program product of claim 13 , wherein to determine the event and to set the threshold include automatically monitoring the data streams over time to determine an application trend and setting the threshold based on the application trend.

15. A system comprising:
one or more processors;
one or more collectors executable by the one or more processors to:
deploy a meter on each of a plurality of server instances in a cloud network, the plurality of server instances hosting a corresponding plurality of application instances of a first application being executed on the cloud network; and
capture, via the meter, data streams that include operational data of the plurality of application instances; and
an analyzer executable by the one or more processors to:
process the data streams corresponding to the plurality of application instances to generate performance data for the first application, the performance data including one or more performance metrics describing the corresponding performance of each of the plurality of application instances;
generate, based on the performance data for the first application, comparative statistics on the performance of the first application relative to the performance of a second application executed on the cloud network; and
reallo

Assignees

• Bmc Software Inc

Inventors

• Moon Cliff
• Black Benjamin

Classifications

• G06F2201/805

  Real-time · CPC title

• G06F11/3428

  Benchmarking · CPC title

• G06F11/302

  where the computing system component is a software system · CPC title

• G06F11/3409

  for performance assessment · CPC title

• G06F2201/875

  Monitoring of systems including the internet · CPC title