opentelemetry-js/experimental/examples/prometheus/index.js

66 lines
2.0 KiB
JavaScript

'use strict';
const { DiagConsoleLogger, DiagLogLevel, diag } = require('@opentelemetry/api');
const { MeterProvider } = require('@opentelemetry/sdk-metrics');
const { PrometheusExporter } = require('@opentelemetry/exporter-prometheus');
// Optional and only needed to see the internal diagnostic logging (during development)
diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG);
const { endpoint, port } = PrometheusExporter.DEFAULT_OPTIONS;
const exporter = new PrometheusExporter({}, () => {
console.log(
`prometheus scrape endpoint: http://localhost:${port}${endpoint}`,
);
});
// Creates MeterProvider and installs the exporter as a MetricReader
const meterProvider = new MeterProvider({
readers: [exporter],
});
const meter = meterProvider.getMeter('example-prometheus');
// Creates metric instruments
const requestCounter = meter.createCounter('requests', {
description: 'Example of a Counter',
});
const upDownCounter = meter.createUpDownCounter('test_up_down_counter', {
description: 'Example of a UpDownCounter',
});
const attributes = { pid: process.pid, environment: 'staging' };
let counter = 0;
const observableCounter = meter.createObservableCounter('observable_requests', {
description: 'Example of an ObservableCounter',
});
observableCounter.addCallback(observableResult => {
observableResult.observe(counter, attributes);
});
const randomMetricPromise = async () =>
new Promise(resolve =>
setTimeout(resolve(Math.floor(Math.random() * 100)), 50)
);
const observableGauge = meter.createObservableGauge(
'observable_gauge_requests',
{
description: 'Example of an ObservableGauge',
}
);
// Callbacks are run when metrics are scraped
observableGauge.addCallback(async observableResult => {
const value = await randomMetricPromise();
observableResult.observe(value, attributes);
});
// Record metrics
setInterval(() => {
counter++;
requestCounter.add(1, attributes);
upDownCounter.add(Math.random() > 0.5 ? 1 : -1, attributes);
}, 1000);