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a/documentation/tutorials/metric_model.md +++ /dev/null @@ -1,137 +0,0 @@ -# Introduction - -Prometheus is in the business of doing several things: - - * exposing metrics, - * collecting metrics, - * performing computational rules upon them and generating synthetic series, - * triggering events based upon rule conditions, and - * metric series archival and deletion. - -The focus of this guide is oriented exclusively toward exposing metrics with -an eye toward computational rules and event handling in the Prometheus core. - -After reading this guide, you will understand the following: - - * what types of Prometheus metrics are available and how they work, - * how you should embed these metrics in your applications, - * what metadata you attach to them, and - * what to instrument. - -# Metric Types - -Prometheus offers three core metric types: - - * counters, - * gauges, and - * summaries. - -Each is tailored toward a different purpose, so it is important to use the -right one for the right job. - -## Counter - -A _Counter_ tracks addition or subtraction of values from itself. It is used -to represent state that you control and is not external. - -The following are good examples or applications of counters: - - * pedometers: devices that track the number of steps you take, - * tickers: devices that measure the number of times an event has occurred, - * censuses: processes to count to number of individuals of a population, and - * _your_ bank account ledger: the sum of all transactions conducted on your - liquid assets. - -The key thing to note about _Counters_ is that they are best used when you are -directly receiving the events that mutate their values and mutating the -underlying values that represent their individual state. - -A good example is of an elevator that tracks how many times it has been used in -its duty cycle. Each time someone hits the button to dispatch it, the elevator -can update its tally; and this is a tally it keeps! - -See also the [counter Javadoc](https://github.com/prometheus/client_java/blob/master/client/src/main/java/io/prometheus/client/metrics/Counter.java) -in Prometheus' Java client library for further documentation and concrete code -examples. - -## Gauges - -A _Gauge_ reports instantaneous values based on external state. This is -primarily state that you do not control directly but rather that you depend on -or can inspect. - -The following are good examples or applications of gauges: - - * thermometer, - * barometer, - * altimeter, and - * total system resource utilization. - -Unlike a _Counter_, you don't have direct access to the events that brought the -_Gauge_ to its value today. This is a white-box and black-box distinction. - -See also the [gauge Javadoc](https://github.com/prometheus/client_java/blob/master/client/src/main/java/io/prometheus/client/metrics/Gauge.java) -in Prometheus' Java client library for further documentation and concrete code -examples. - -## Which to use: Counter or Gauge? -Knowing whether to use a _Counter_ or a _Gauge_ can be tough. Let's perform a -practical thought exercise. Below is an image of an automobile's instrument -dashboard: - -![Vehicle Instrument Console](dashboard.jpg "Vehicle Instrument Console") - -What do you see in this photo? Take a minute to make a list. (Don't worry; -I'll wait for you.) - -From left to right and top to bottom, there are the following instruments: - - * Tachometer: it measures the revolutions per minute of the engine; - * Clock: it measures the time; - * Thermometer: it measures the temperature outside the vehicle; - * Odometer: they measure the total miles the vehicle has traveled as well as - how far it has traveled on its last trip; - * Fuel Gauge: it measures how much fuel is in the tank; - * Speedometer: it measures how fast we are going. - -Great! Look at this list and now think about the definitions above for -_Counter_ and _Gauge_. Can you identify what instruments are what? (Again, -I'll wait for you.) - - * Tachometer: Counter. Tricky. The vehicle's sensors observe how quickly - the flywheel rotates and update the instrument's value on frequent - intervals by counting revolutions. - * Clock: Gauge. It is an external value, and we cannot watch the clock's - internal events. - * Thermometer: Gauge. It measures an external value, and there is no way to - track thermodynamic events that influence the outside temperature. - * Odometer: Counter. It measures distances by the number of times the - wheels have turned, which itself is based on an event. - * Fuel Gauge: Gauge. Who would have guessed? It uses a floating ballast and - a rheostat and is not event-based. - * Speedmeter: Counter. Tricky. It measures wheel rotation (events) over - time. - -## Summaries - -_Summary_ is a unique metric type, and one you have probably not used before. -It samples events over sliding windows of time and provides instantaneous -insight into their distributions, frequencies, and sums. - -Practically speaking, a summary collects event values and reports the -following information: - - * streaming quantile values of the entire observed population, - * the total sum of all observed values, and - * the count of events that have been observed. - -This is quite convenient, for if you are interested in tracking latencies of an -operation in real time, you get three types of information reported for free -with one metric. - -See also the [summary Javadoc](https://github.com/prometheus/client_java/blob/master/client/src/main/java/io/prometheus/client/metrics/Summary.java) -in Prometheus' Java client library for further documentation and concrete code -examples. - -# Acknowledgements -Robert Bray: Vehicle Instrument Panel