AUTOMATIC ROOT CAUSE ANALYSIS FOR DISTRIBUTED BUSINESS TRANSACTION
A system that automatically provides a root cause analysis for performance issues associated with an application, a tier of nodes, an individual node, or a business transaction. One or more distributed business transactions are monitored and data obtained from the monitoring is provided to a controller. The controller analyzes the data to identify performance issues with the business transaction, tiers of nodes, individual nodes, methods, and other components that perform or affect the business transaction performance. Once the performance issues are identified, the cause of the issues is determined as part of a root cause analysis.
1 . A method for performing root cause analysis, comprising:
identifying a controller by a server;
accessing performance data by the server, the performance data provided by the controller and generated from monitoring distributed business transactions, the monitoring performed by agents that report data to the controller;
identifying by the server a performance issue based on the reported data; and
automatically performing a cause analysis for performance issues with distributed transactions analyzed by the controller.
2 . The method of claim 1 , wherein the controller is identified from input received through an interface.
3 . The method of claim 1 , wherein the agents collect runtime data and provided aggregated data to the controller.
4 . The method of claim 1 , wherein identifying the performance issue includes:
determining a baseline performance level for a portion of a distributed business application; and
comparing performance of the distributed business application portions to the baseline.
5 . The method of claim 4 , wherein the distributed business transaction portions include an application, a tier, a node, and a method.
6 . The method of claim 1 , wherein the cause analysis includes a metric analysis of an identified performance issue detected by the controller.
7 . The method of claim 1 , wherein the cause analysis includes a method analysis of an identified performance issue detected by the controller.
8 . The method of claim 1 , wherein the cause analysis includes an error analysis of an identified performance issue detected by the controller.
9 . The method of claim 1 , wherein the cause analysis includes an exit call analysis of an identified performance issue detected by the controller.
10 . The method of claim 1 , wherein the cause analysis includes a call graph and a snapshot associated with a portion of the distributed business application associated with a selected performance issue.
11 . A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for performing root cause analysis, the method comprising:
identifying a controller by a server;
accessing performance data by the server, the performance data provided by the controller and generated from monitoring distributed business transactions, the monitoring performed by agents that report data to the controller;
identifying by the server a performance issue based on the reported data; and
automatically performing a cause analysis for performance issues with distributed transactions analyzed by the controller
12 . The non-transitory computer readable storage medium of claim 11 , wherein the controller is identified from input received through an interface.
13 . The non-transitory computer readable storage medium of claim 11 , wherein the agents collect runtime data and provided aggregated data to the controller.
14 . The non-transitory computer readable storage medium of claim 11 , wherein identifying the performance issue includes:
determining a baseline performance level for a portion of a distributed business application; and
comparing performance of the distributed business application portions to the baseline.
15 . The non-transitory computer readable storage medium of claim 14 , wherein the distributed business transaction portions include an application, a tier, a node, and a method.
16 . The non-transitory computer readable storage medium of claim 11 , wherein the cause analysis includes a metric analysis of an identified performance issue detected by the controller.
17 . The non-transitory computer readable storage medium of claim 11 , wherein the cause analysis includes a method analysis of an identified performance issue detected by the controller.
18 . The non-transitory computer readable storage medium of claim 11 , wherein the cause analysis includes an error analysis of an identified performance issue detected by the controller.
19 . The non-transitory computer readable storage medium of claim 11 , wherein the cause analysis includes an exit call analysis of an identified performance issue detected by the controller.
20 . The non-transitory computer readable storage medium of claim 11 , wherein the cause analysis includes a call graph and a snapshot associated with a portion of the distributed business application associated with a selected performance issue.
21 . A server for performing root cause analysis, comprising:
a processor;
a memory; and
one or more modules stored in memory and executable by a processor to identify a controller by a server, access performance data by a server, the performance data provided by the controller and generated from monitoring distributed business transactions, the monitoring performed by agents that report data to the controller, identify a performance issue by the server, the performance issue based on the reported data, and automatically perform a cause analysis for performance issues with distributed transactions analyzed by the controller.
22 . The system of claim 21 , wherein the controller is identified from input received through an interface.
23 . The system of claim 21 , wherein the agents collect runtime data and provided aggregated data to the controller.
24 . The system of claim 21 , wherein the modules are further executable to determine a baseline performance level for a portion of a distributed business application and compare performance of the distributed business application portions to the baseline.
25 . The system of claim 24 , wherein the distributed business transaction portions include an application, a tier, a node, and a method.
26 . The system of claim 21 , wherein the cause analysis includes a metric analysis of an identified performance issue.
27 . The system of claim 21 , wherein the cause analysis includes a method analysis of an identified performance issue detected by the controller.
28 . The system of claim 21 , wherein the cause analysis includes an error analysis of an identified performance issue detected by the controller.
29 . The system of claim 21 , wherein the cause analysis includes an exit call analysis of an identified performance issue detected by the controller.
30 . The system of claim 21 , wherein the cause analysis includes a call graph and a snapshot associated with a portion of the distributed business application associated with a selected performance issue.