Perfcounter (Performance Metrics) - (Operational|Machine) data

1 - About

This section is about performance counter and machine data (sensor ?).

Performance metrics known also as Perfcounter (generally on Windows) are counter produced by application (OS and every other app) in order to:

See also: Observability

(Counter|Metrics|Monitoring) data are of the time serie data type.

These (counter|numbers) are averages only. There is no way to figure out from the numbers, if you got from one point to another in an horizontal and constant line.

2 - Example

Machine data counter example:

  • temperature,
  • speed,
  • voltage,
  • number of printouts

3 - Steps

They are:

4 - General Metrics

This resource (counter|metrics) are usually expressed in the following terms:

  • utilization: as a percent over a time interval. eg, “one disk is running at 90% utilization”.
  • saturation: as a queue length. eg, “the CPUs have an average run queue length of four”.
  • errors: scalar counts. eg, “this network interface has had fifty late collisions”.

As utilization is a mean, it may have a high deviation that produce a saturation. Therefore a low utilization doesn't imply a low saturation.

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counter/counter.txt · Last modified: 2017/04/20 17:40 by gerardnico