Early Detection Of Failing Computers

At a computer system, the computer system including a processor, a method for selecting performance indicators to monitor for identifying a computer system problem during execution of an application, instances of the application load balanced on a plurality of other devices, the method comprising:

• for each of said plurality of devices, collecting operational data for the application over different periods when there is varied levels of demand for the application, the performance data including values for a plurality of different performance indicators;
• the processor identifying a subset of performance indicators that are statistically relevant, the a subset of performance indicators identified from among the plurality of different performance indicators, including for each performance indicator in the subset of performance indicators:
• for each device in at least a sub-plurality of devices, determining that an average value indicator for the performance indicator is statistically similar to an average value indicator for the performance indicator for other devices in the sub-plurality of devices, the sub-plurality of devices selected from among the plurality of devices;
• and
• determining that an aggregated deviation over one period for time for the performance indicator is statistically similar to an aggregated deviation over multiple periods of time for the performance indicator;
• and
• setting each of the identified subset of performance indicators as monitored performance indicators.

At a computer system, the computer system including a processor, a method for selecting performance indicators to monitor for identifying a computer system problem during execution of an application, instances of the application load balanced on a plurality of other devices, the method comprising:

• for each of said plurality of devices, collecting operational data for the application over different periods when there is varied levels of demand for the application, the performance data including values for a plurality of different performance indicators;
• identifying a subset of performance indicators that are statistically relevant based on the values for the plurality of different performance indicators, the subset of performance indicators identified from among the plurality of different performance indicators;
• and
• setting each of the identified subset of performance indicators as monitored performance indicators for the application.