Analyzing physical machine impact on business transaction performance

Patent metadata

Field	Value
Publication number	US-2016124833-A1
Application number	US-201414530450-A
Country	US
Kind code	A1
Filing date	Oct 31, 2014
Priority date	Oct 31, 2014
Publication date	May 5, 2016
Grant date	—

Abstract

Application performance data and machine health are collected by a system. The system correlates the two data types to provide context as to how machine health affects the performance of an application. Performance data for an application, for example an application executing as part of a distributed business transaction, and health data for a machine which hosts the application are collected. The performance data and machine health data may be correlated for a particular period of time. The correlation may then be reported to a user. By viewing the correlation, a user may see when machine health was good and bad, and may identify the effects of the machine health on the performance of an application.

First claim

What is claimed is:

1 . A method for monitoring an application, comprising:
monitoring by an agent the performance of an application forming a portion of a distributed business transaction, the agent collecting application performance data; collecting machine health data on the machine hosting the application; and reporting the application performance data and machine health data for a time period.

2 . The method of claim 1 , wherein the machine health data includes CPU data.

3 . The method of claim 1 , wherein the machine health data includes memory data.

4 . The method of claim 1 , wherein the machine health data includes queue data.

5 . The method of claim 1 , wherein the machine health data is collected and stored periodically.

6 . The method of claim 1 , wherein the machine health data is collected and stored based on policy rules

7 . The method of claim 6 , wherein the policy rules include sampling the machine health data at a sampling rate.

8 . The method of claim 6 , wherein the policy rules include a maximum threshold for each of a CPU usage, memory usage, and queue.

9 . The method of claim 6 , wherein the policy rules include a maximum number of allowed violations.

10 . The method of claim 9 , wherein health data is collected and stored based on policy rules if the maximum number of violations is exceeded.

11 . The method of claim 1 , further comprising:
correlating machine health data with application performance data for the time period; and providing a graphical display with the correlated machine health data and application performance data.

12 . A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for monitoring an application, the method comprising:
monitoring by an agent the performance of an application forming a portion of a distributed business transaction, the agent collecting application performance data; collecting machine health data on the machine hosting the application; and reporting the application performance data and machine health data for a time period.

13 . The non-transitory computer readable storage medium of claim 12 , wherein the machine health data includes CPU data.

14 . The non-transitory computer readable storage medium of claim 12 , wherein the machine health data includes memory data.

15 . The non-transitory computer readable storage medium of claim 12 , wherein the machine health data includes queue data.

16 . The non-transitory computer readable storage medium of claim 12 , wherein the machine health data is collected and stored periodically.

17 . The non-transitory computer readable storage medium of claim 12 , wherein the machine health data is collected and stored based on policy rules

18 . The non-transitory computer readable storage medium of claim 17 , wherein the policy rules include sampling the machine health data at a sampling rate.

19 . The non-transitory computer readable storage medium of claim 17 , wherein the policy rules include a maximum threshold for each of a CPU usage, memory usage, and queue.

20 . The non-transitory computer readable storage medium of claim 17 , wherein the policy rules include a maximum number of allowed violations.

21 . The non-transitory computer readable storage medium of claim 20 , wherein health data is collected and stored based on policy rules if the maximum number of violations is exceeded.

22 . The non-transitory computer readable storage medium of claim 12 , further comprising:
correlating machine health data with application performance data for the time period; and providing a graphical display with the correlated machine health data and application performance data.

23 . A system for monitoring an application, comprising:
a processor; a memory; and one or more modules stored in memory and executable by a processor to monitor by an agent the performance of an application forming a portion of a distributed business transaction, the agent collecting application performance data, collect machine health data on the machine hosting the application, and report the application performance data and machine health data for a time period.

24 . The system of claim 23 , wherein the machine health data includes CPU data.

25 . The system of claim 23 , wherein the machine health data includes memory data.

26 . The system of claim 23 , wherein the machine health data includes queue data.

27 . The system of claim 23 , wherein the machine health data is collected and stored periodically.

28 . The system of claim 23 , wherein the machine health data is collected and stored based on policy rules

29 . The system of claim 28 , wherein the policy rules include sampling the machine health data at a sampling rate.

30 . The system of claim 28 , wherein the policy rules include a maximum threshold for each of a CPU usage, memory usage, and queue.

31 . The system of claim 28 , wherein the policy rules include a maximum number of allowed violations.

32 . The system of claim 31 , wherein health data is collected and stored based on policy rules if the maximum number of violations is exceeded.

33 . The system of claim 23 , further comprising:
correlating machine health data with application performance data for the time period; and providing a graphical display with the correlated machine health data and application performance data.

Assignees

• Appdynamics Inc

Inventors

• Gupta Amod
• Ericson Ryan

Classifications

• G06F11/3065

  Monitoring arrangements determined by the means or processing involved in reporting the monitored data (error or fault reporting or logging G06F11/0766) · CPC title

• G06F11/3495 Primary

  for systems · CPC title

• G06F2201/87

  Monitoring of transactions · CPC title

• G06F2201/81

  Threshold · CPC title

• G06F11/3409

  for performance assessment · CPC title