OpenTelemetry SDK for Node.js

Note: This is an experimental package under active development. New releases may include breaking changes.

This package provides the full OpenTelemetry SDK for Node.js including tracing and metrics.

Quick Start

To get started you need to install @opentelemetry/sdk-node, a metrics and/or tracing exporter, and any appropriate instrumentation for the node modules used by your application.

Installation

$ # Install the SDK
$ npm install @opentelemetry/sdk-node

$ # Install exporters and plugins
$ npm install \
    @opentelemetry/exporter-jaeger \ # add tracing exporters as needed
    @opentelemetry/exporter-prometheus \ # add metrics exporters as needed
    @opentelemetry/instrumentation-http # add instrumentations as needed

$ # or install all officially supported core and contrib plugins
$ npm install @opentelemetry/auto-instrumentations-node

Note: this example is for Node.js. See examples/opentelemetry-web for a browser example.

Initialize the SDK

Before any other module in your application is loaded, you must initialize the SDK. If you fail to initialize the SDK or initialize it too late, no-op implementations will be provided to any library which acquires a tracer or meter from the API.

This example uses Jaeger and Prometheus, but exporters exist for other tracing backends.

const opentelemetry = require("@opentelemetry/sdk-node");
const { JaegerExporter } = require("@opentelemetry/exporter-jaeger");
const { PrometheusExporter } = require("@opentelemetry/exporter-prometheus");
const {
  getNodeAutoInstrumentations,
} = require("@opentelemetry/auto-instrumentations-node");

const jaegerExporter = new JaegerExporter();
const prometheusExporter = new PrometheusExporter({ startServer: true });

const sdk = new opentelemetry.NodeSDK({
  // Optional - if omitted, the tracing SDK will not be initialized
  traceExporter: jaegerExporter,
  // Optional - If omitted, the metrics SDK will not be initialized
  metricReader: prometheusExporter,
  // Optional - you can use the metapackage or load each instrumentation individually
  instrumentations: [getNodeAutoInstrumentations()],
  // See the Configuration section below for additional  configuration options
});

// You can optionally detect resources asynchronously from the environment.
// Detected resources are merged with the resources provided in the SDK configuration.
sdk.start().then(() => {
  // Resources have been detected and SDK is started
});

// You can also use the shutdown method to gracefully shut down the SDK before process shutdown
// or on some operating system signal.
const process = require("process");
process.on("SIGTERM", () => {
  sdk
    .shutdown()
    .then(
      () => console.log("SDK shut down successfully"),
      (err) => console.log("Error shutting down SDK", err)
    )
    .finally(() => process.exit(0));
});

Configuration

Below is a full list of configuration options which may be passed into the NodeSDK constructor;

autoDetectResources

Detect resources automatically from the environment using the default resource detectors. Default true.

contextManager

Use a custom context manager. Default: AsyncHooksContextManager

textMapPropagator

Use a custom propagator. Default: CompositePropagator using W3C Trace Context and Baggage

metricReader

Add a MetricReader that will be passed to the MeterProvider. If metricReader is not configured, the metrics SDK will not be initialized and registered.

views

A list of views to be passed to the MeterProvider. Accepts an array of View-instances. This parameter can be used to configure explicit bucket sizes of histogram metrics.

instrumentations

Configure instrumentations. By default none of the instrumentation is enabled, if you want to enable them you can use either metapackage or configure each instrumentation individually.

resource

Configure a resource. Resources may also be detected by using the autoDetectResources method of the SDK.

resourceDetectors

Configure resource detectors. By default, the resource detectors are [envDetector, processDetector]. NOTE: In order to enable the detection, the parameter autoDetectResources has to be true.

sampler

Configure a custom sampler. By default, all traces will be sampled.

spanProcessor

traceExporter

Configure a trace exporter. If an exporter is configured, it will be used with a BatchSpanProcessor. If an exporter OR span processor is not configured programatically, this package will auto setup the default otlp exporter with http/protobuf protocol with a BatchSpanProcessor.

spanLimits

Configure tracing parameters. These are the same trace parameters used to configure a tracer.

serviceName

Configure the service name.

Disable the SDK from the environment

Disable the SDK by setting the OTEL_SDK_DISABLED environment variable to true.

Configure Trace Exporter from Environment

This is an alternative to programmatically configuring an exporter or span processor. This package will auto setup the default otlp exporter with http/protobuf protocol if traceExporter or spanProcessor hasn't been passed into the NodeSDK constructor.

Exporters

OTLP Exporter

Additionally, you can specify other applicable environment variables that apply to each exporter such as the following:

• OTLP exporter environment configuration
• Zipkin exporter environment configuration
• Jaeger exporter environment configuration

Useful links

• For more information on OpenTelemetry, visit: https://opentelemetry.io/
• For more about OpenTelemetry JavaScript: https://github.com/open-telemetry/opentelemetry-js
• For help or feedback on this project, join us in GitHub Discussions

License

Apache 2.0 - See LICENSE for more information.