logzio-nodejs-metrics-sdk

Logz.io nodejs metrics sdk

This topic includes instructions on how to send custom metrics to Logz.io from your Node.js application.

The included example uses the OpenTelemetry JS SDK and its based on OpenTelemetry exporter collector proto.

Before you begin, you'll need: Node 8 or higher

Note This project works best with logzio as metrics backend, but its compatible with all backends that support prometheuesrmotewrite format

Quick start

Install the package:

npm install logzio-nodejs-metrics-sdk@0.3.0

Set the variables in the following code snippet:

Environment variable	Description
url	The Logz.io Listener URL for for your region, configured to use port 8052 for http traffic, or port 8053 for https traffic. For example - https://listener.logz.io:8053
token	Your Logz.io Prometheus Metrics account token.

const MeterProvider = require('@opentelemetry/sdk-metrics-base');
const sdk = require('logzio-nodejs-metrics-sdk');

const collectorOptions = {
    url: '<<url>>',
    headers: {
        Authorization: 'Bearer <<token>>',
    },
};
// Initialize the exporter
const metricExporter = new sdk.RemoteWriteExporter(collectorOptions);

// Initialize the meter provider
const meter = new MeterProvider.MeterProvider({
    exporter: metricExporter,
    interval: 15000, // Push interval in seconds
}).getMeter('example-exporter');

// Create your first counter metric
const requestCounter = meter.createCounter('Counter', {
    description: 'Example of a Counter',
});
// Define some labels for your metrics
const labels = { environment: 'prod' };
// Record some value
requestCounter.bind(labels).add(1);
// In logzio Metrics you will see the following metric:
// Counter_total{environment: 'prod'} 1.0

Types of metric instruments

For more information, see the OpenTelemetry documentation.

Name	Behavior
Counter	Metric value can only go up or be reset to 0, calculated per counter.Add(context,value,labels) request.
UpDownCounter	Metric value can arbitrarily increment or decrement, calculated per updowncounter.Add(context,value,labels) request.
Histogram	Metric values captured by the histogram.Record(context,value,labels) function, calculated per request.

More examples

First Initialize the exporter and meter provider:

const MeterProvider = require('@opentelemetry/sdk-metrics-base');
const sdk = require('logzio-nodejs-metrics-sdk');

const collectorOptions = {
    url: '<<url>>',
    headers: {
        Authorization: 'Bearer <<token>>',
    },
};
// Initialize the exporter
const metricExporter = new sdk.RemoteWriteExporter(collectorOptions);

// Initialize the meter provider
const meter = new MeterProvider.MeterProvider({
    exporter: metricExporter,
    interval: 15000, // Push interval in seconds
}).getMeter('example-exporter');

Then create different types of metrics

UpDownCounter:

// Create UpDownCounter metric
const upDownCounter = meter.createUpDownCounter('UpDownCounter', {
    description: 'Example of a UpDownCounter',
});
// Define some labels for your metrics
const labels = { environment: 'prod' };
// Record some values
upDownCounter.bind(labels);
upDownCounter.add(5);
upDownCounter.add(-1);
// In logzio you will see the following metric:
// UpDownCounter{environment: 'prod'} 4.0

Histogram:

// Create ValueRecorder metric
const histogram = meter.createHistogram('test_histogram', {
    description: 'Example of a histogram',
});
// Define some labels for your metrics
const labels = { environment: 'prod' };
// Record some values
histogram.bind(labels);
histogram.record(30);
histogram.record(20);
// In logzio you will see the following metrics:
// test_histogram_sum{environment: 'prod'} 50.0
// test_histogram_count{environment: 'prod'} 2.0
// test_histogram_avg{environment: 'prod'} 25.0

Update log

0.3.0

• Add github action for auto publish to npm
• Add option to update TimeUnixNano in metrics from Exporter

0.2.0

• Update otel dependencies and naming conventions
• Update docs
• Fix exporting modules names

0.1.0

• Initial Release