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@opentelemetry/metrics

OpenTelemetry metrics SDK

  • 0.9.0
  • Source
  • npm
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OpenTelemetry Metrics SDK

Gitter chat NPM Published Version dependencies devDependencies Apache License

OpenTelemetry metrics allow a user to collect data and export it to a metrics backend like Prometheus.

Installation

npm install --save @opentelemetry/metrics

Usage

Counter

Choose this kind of metric when the value is a quantity, the sum is of primary interest, and the event count and value distribution are not of primary interest. Counters are defined as Monotonic = true by default, meaning that positive values are expected.

const { MeterProvider } = require('@opentelemetry/metrics');

// Initialize the Meter to capture measurements in various ways.
const meter = new MeterProvider().getMeter('your-meter-name');

const counter = meter.createCounter('metric_name', {
  description: 'Example of a counter'
});

const labels = { pid: process.pid };

// Create a BoundInstrument associated with specified label values.
const boundCounter = counter.bind(labels);
boundCounter.add(10);

Observable

Choose this kind of metric when only last value is important without worry about aggregation

const { MeterProvider, MetricObservable } = require('@opentelemetry/metrics');

// Initialize the Meter to capture measurements in various ways.
const meter = new MeterProvider().getMeter('your-meter-name');

const observer = meter.createObserver('metric_name', {
  description: 'Example of a observer'
});

function getCpuUsage() {
  return Math.random();
}

const metricObservable = new MetricObservable();

observer.setCallback((observerResult) => {
  // synchronous callback
  observerResult.observe(getCpuUsage, { pid: process.pid, core: '1' });
  // asynchronous callback
  observerResult.observe(metricObservable, { pid: process.pid, core: '2' });
});

// simulate asynchronous operation
setInterval(()=> {
  metricObservable.next(getCpuUsage());
}, 2000)

See examples/prometheus for a short example.

Value Recorder

ValueRecorder is a non-additive synchronous instrument useful for recording any non-additive number, positive or negative. Values captured by ValueRecorder.record(value) are treated as individual events belonging to a distribution that is being summarized. ValueRecorder should be chosen either when capturing measurements that do not contribute meaningfully to a sum, or when capturing numbers that are additive in nature, but where the distribution of individual increments is considered interesting.

License

Apache 2.0 - See LICENSE for more information.

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Package last updated on 18 Jun 2020

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