Metrics (Statistical Collector / Performance data)


This page is about metrics in Monitoring.

A monitoring/performance metrics is a:

  • timestamped
  • numerical value

Other name

Monitoring Metrics are also known as:

  • Statistical Collector
  • Perfcounter (generally on Windows)
  • Performance metrics
  • Performance data

They are known as statistical data collectors because they gather data and compute statistics. They are used to collect, evaluate and report results, e.g.

  • mean residence times of customers
  • or the average utilisation of a server.

Aggregated metrics / Statistics

An aggregated metrics is

They are event metrics.

For the business related view of metrics, see Dimensional Data Modeling - Metrics - Key Performance indicators (KPI)


  • Timer, a Timer measures both the count of timed events and the total time of all events timed.
  • Counter is used to record occurrences of events like the number of customer arrivals. Representing a counter without rate aggregation over some time window is rarely useful, as the representation is a function of both the rapidity with which the counter is incremented and the longevity of the service.
  • Gauge, - a single metric (gauge values are not rates)
  • histogram - An histogram ranks the measured values into predefined classes.
  • Regressions: A Regression perform a regressional analysis of two different collected value series (x and y). It reports the number of observations, mean (for x and y), regression and correlation coefficients, standard deviations and interception.

Time serie:

  • Tallies. A tally record the mean and standard deviation of a (time) series of values. Example: Computing the average time customers spent on a system
  • Accumulates: An Accumulate record the mean and standard deviation of a time series of values against different time interval. Example: System load

See also: Prometheus Metrics Type


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