Javascript OpenTelemetry Instrumentation

This document contains OpenTelemetry instrumentation instructions for Javascript backend frameworks and modules based on Nodejs. If you're using self-hosted SigNoz refer to this section. If you're using SigNoz cloud, refer to this section.

Send traces to SigNoz Cloud

Based on your application environment, you can choose the setup below to send traces to SigNoz Cloud.

npm install --save @opentelemetry/api
npm install --save @opentelemetry/auto-instrumentations-node

export OTEL_TRACES_EXPORTER="otlp"
export OTEL_EXPORTER_OTLP_ENDPOINT="<SIGNOZ_ENDPOINT>"
export OTEL_NODE_RESOURCE_DETECTORS="env,host,os"
export OTEL_SERVICE_NAME="<APP_NAME>"
export OTEL_EXPORTER_OTLP_HEADERS="signoz-ingestion-key=<SIGNOZ_ACCESS_TOKEN>"
export NODE_OPTIONS="--require @opentelemetry/auto-instrumentations-node/register"
<your_run_command>

npm install --save @opentelemetry/api@^1.6.0
npm install --save @opentelemetry/sdk-node@^0.45.0
npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0

// tracing.js
'use strict'
const process = require('process')
const opentelemetry = require('@opentelemetry/sdk-node')
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node')
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http')
const { Resource } = require('@opentelemetry/resources')
const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions')

// do not set headers in exporterOptions, the OTel spec recommends setting headers through ENV variables
// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/protocol/exporter.md#specifying-headers-via-environment-variables

// highlight-start
const exporterOptions = {
  url: 'https://ingest.{region}.signoz.cloud:443/v1/traces',
}
// highlight-end

const traceExporter = new OTLPTraceExporter(exporterOptions)
const sdk = new opentelemetry.NodeSDK({
  traceExporter,
  instrumentations: [getNodeAutoInstrumentations()],
  resource: new Resource({
    // highlight-next-line
    [SemanticResourceAttributes.SERVICE_NAME]: 'node_app',
  }),
})

// initialize the SDK and register with the OpenTelemetry API
// this enables the API to record telemetry
sdk.start()

// gracefully shut down the SDK on process exit
process.on('SIGTERM', () => {
  sdk
    .shutdown()
    .then(() => console.log('Tracing terminated'))
    .catch((error) => console.log('Error terminating tracing', error))
    .finally(() => process.exit(0))
})

OTEL_EXPORTER_OTLP_HEADERS="signoz-ingestion-key=<SIGNOZ_INGESTION_KEY>" node -r ./tracing.js app.js

npm install --save @opentelemetry/api
npm install --save @opentelemetry/auto-instrumentations-node

export OTEL_TRACES_EXPORTER="otlp"
export OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318/v1/traces"
export OTEL_NODE_RESOURCE_DETECTORS="env,host,os"
export OTEL_SERVICE_NAME="<APP_NAME>"
export NODE_OPTIONS="--require @opentelemetry/auto-instrumentations-node/register"
<your_run_command>

npm install --save @opentelemetry/api@^1.6.0
npm install --save @opentelemetry/sdk-node@^0.45.0
npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0

// tracing.js
'use strict'
const process = require('process')
const opentelemetry = require('@opentelemetry/sdk-node')
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node')
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http')
const { Resource } = require('@opentelemetry/resources')
const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions')

const exporterOptions = {
  url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
}

const traceExporter = new OTLPTraceExporter(exporterOptions)
const sdk = new opentelemetry.NodeSDK({
  traceExporter,
  instrumentations: [getNodeAutoInstrumentations()],
  resource: new Resource({
    // highlight-next-line
    [SemanticResourceAttributes.SERVICE_NAME]: 'node_app',
  }),
})

// initialize the SDK and register with the OpenTelemetry API
// this enables the API to record telemetry
sdk.start()

// gracefully shut down the SDK on process exit
process.on('SIGTERM', () => {
  sdk
    .shutdown()
    .then(() => console.log('Tracing terminated'))
    .catch((error) => console.log('Error terminating tracing', error))
    .finally(() => process.exit(0))
})

node -r ./tracing.js app.js

Send Traces to Self-Hosted SigNoz

Requirements

• Node.js version 14 or newer (See here)
  

You can use OpenTelemetry Nodejs client libraries to send your traces directly to SigNoz. You have two choices for instrumenting your Nodejs application with OpenTelemetry.

• Use the all-in-one auto-instrumentation library(Recommended)
  The auto-instrumentation library of OpenTelemetry is a meta package that provides a simple way to initialize multiple Nodejs instrumnetations.

  ✅ Info

  If you are on K8s, you should checkout opentelemetry operators which enable auto instrumenting Javascript applications very easily.

• Use a specific auto-instrumentation library
  You can use individual auto-instrumentation libraries too for a specific component of your application. For example, you can use @opentelemetry/instrumentation-express for instrumenting the Express web framework.

Using the all-in-one auto-instrumentation library

The recommended way to instrument your Javascript Nodejs application is to use the all-in-one auto-instrumentation library - @opentelemetry/auto-instrumentations-node. It provides a simple way to initialize multiple Nodejs instrumentations.

Internally, it calls the specific auto-instrumentation library for components used in the application. You can see the complete list here.

The instrumentation automatically identifies the following within your application:

• Frameworks, such as Express, Nestjs
• Common protocols such as HTTP, HTTPS, and gRPC
• Databases, such as MySQL, MongoDB, Redis, etc.
• Other libraries used in the application

Steps to auto-instrument Nodejs application

1. Install the dependencies
   We start by installing the relevant dependencies.

   npm install --save @opentelemetry/sdk-node
   npm install --save @opentelemetry/auto-instrumentations-node
   npm install --save @opentelemetry/exporter-trace-otlp-http
   

   The dependencies included are briefly explained below:
   

   @opentelemetry/sdk-node - This package provides the full OpenTelemetry SDK for Node.js including tracing and metrics.
   

   @opentelemetry/auto-instrumentations-node - This module provides a simple way to initialize multiple Node instrumentations.
   

   @opentelemetry/exporter-trace-otlp-http - This module provides the exporter to be used with OTLP (http/json) compatible receivers.
   

   📝 Note

   If you run into any error, you might want to use these pinned versions of OpenTelemetry libraries used in this GitHub repo.

2. Create a tracing.js file
   The tracing.js file will contain the tracing setup code. Notice, that we have set some environment variables in the code(highlighted). You can update these variables based on your environment.

// tracing.js
'use strict'
const process = require('process')
const opentelemetry = require('@opentelemetry/sdk-node')
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node')
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http')
const { Resource } = require('@opentelemetry/resources')
const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions')

const exporterOptions = {
  // highlight-next-line
  url: 'http://localhost:4318/v1/traces',
}

const traceExporter = new OTLPTraceExporter(exporterOptions)
const sdk = new opentelemetry.NodeSDK({
  traceExporter,
  instrumentations: [getNodeAutoInstrumentations()],
  // highlight-start
  resource: new Resource({
    [SemanticResourceAttributes.SERVICE_NAME]: 'node_app',
  }),
  // highlight-end
})

// initialize the SDK and register with the OpenTelemetry API
// this enables the API to record telemetry
sdk.start()

// gracefully shut down the SDK on process exit
process.on('SIGTERM', () => {
  sdk
    .shutdown()
    .then(() => console.log('Tracing terminated'))
    .catch((error) => console.log('Error terminating tracing', error))
    .finally(() => process.exit(0))
})

OpenTelemetry Node SDK currently does not detect the OTEL_RESOURCE_ATTRIBUTES from .env files as of today. That’s why we need to include the variables in the tracing.js file itself.

About environment variables:

service_name : node_app (you can give whatever name that suits you)

http://localhost:4318/v1/traces is the default url for sending your tracing data. We are assuming you have installed SigNoz on your localhost. Based on your environment, you can update it accordingly. It should be in the following format:

http://<IP of SigNoz backend>:4318/v1/traces

3. Run the application
   The tracing configuration should be run before your application code. We will use the -r, —require module flag for that.
   

   node -r ./tracing.js app.js
   

   📝 Note

   If you're running your nodejs application in PM2 cluster mode, it doesn't support node args: Unitech/pm2#3227. As above sample app instrumentation requires to load tracing.js before app load by passing node arg, so nodejs instrumentation doesn't work in PM2 cluster mode. So you need to import tracing.js in your main application. The import ./tracing.js should be the first line of your application code and initialize it before any other function. Here's the sample github repo which shows the implementation.

   In case you encounter an issue where all applications do not get listed in the services section then please refer to the troubleshooting section.

Validating instrumentation by checking for traces

With your application running, you can verify that you’ve instrumented your application with OpenTelemetry correctly by confirming that tracing data is being reported to SigNoz.

To do this, you need to ensure that your application generates some data. Applications will not produce traces unless they are being interacted with, and OpenTelemetry will often buffer data before sending. So you need to interact with your application and wait for some time to see your tracing data in SigNoz.

Validate your traces in SigNoz:

1. Trigger an action in your app that generates a web request. Hit the endpoint a number of times to generate some data. Then, wait for some time.
2. In SigNoz, open the Services tab. Hit the Refresh button on the top right corner, and your application should appear in the list of Applications.
3. Go to the Traces tab, and apply relevant filters to see your application’s traces.

You might see other dummy applications if you’re using SigNoz for the first time. You can remove it by following the docs here.

If you don't see your application reported in the list of services, try our troubleshooting guide.

Using a specific auto-instrumentation library

If total installation size is not constrained, it is recommended to use the @opentelemetry/auto-instrumentations-node bundle with @opentelemetry/sdk-node for the most seamless instrumentation experience.

But you can also install specific auto-instrumenation packages for the components used by your application.

If an application uses Express, HTTP, and MongoDB, we can instrument the application using the following modules:

• opentelemetry-instrumentation-express
• opentelemetry/instrumentation-mongodb
• opentelemetry/instrumentation-http

If you are using Express, the instrumentation relies on HTTP calls to also be instrumented. That’s why we’re also including the module for http instrumentation. Let’s see the steps required.

Steps to use specific auto-instrumentation libraries

1. Install the dependencies
   We start by installing the relevant dependencies.

   npm install --save @opentelemetry/sdk-node
   npm install --save @opentelemetry/exporter-trace-otlp-http
   npm install --save @opentelemetry/instrumentation-express
   npm install --save @opentelemetry/instrumentation-mongodb
   npm install --save @opentelemetry/instrumentation-http
   

2. Creat a tracing.js file
   The tracing.js file will contain the following tracing setup code.

   // tracing.js
   'use strict'
   const process = require('process')
   //OpenTelemetry
   const opentelemetry = require('@opentelemetry/sdk-node')
   const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http')
   //instrumentations
   const { ExpressInstrumentation } = require('@opentelemetry/instrumentation-express')
   const { MongoDBInstrumentation } = require('@opentelemetry/instrumentation-mongodb')
   const { HttpInstrumentation } = require('@opentelemetry/instrumentation-http')
   
   const { Resource } = require('@opentelemetry/resources')
   const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions')
   
   const exporterOptions = {
     url: 'http://localhost:4318/v1/traces',
   }
   
   const traceExporter = new OTLPTraceExporter(exporterOptions)
   const sdk = new opentelemetry.NodeSDK({
     traceExporter,
     instrumentations: [
       new ExpressInstrumentation(),
       new MongoDBInstrumentation(),
       new HttpInstrumentation(),
     ],
     resource: new Resource({
       [SemanticResourceAttributes.SERVICE_NAME]: 'node_app',
     }),
   })
   
   // initialize the SDK and register with the OpenTelemetry API
   // this enables the API to record telemetry
   sdk.start()
   
   // gracefully shut down the SDK on process exit
   process.on('SIGTERM', () => {
     sdk
       .shutdown()
       .then(() => console.log('Tracing terminated'))
       .catch((error) => console.log('Error terminating tracing', error))
       .finally(() => process.exit(0))
   })
   

   OpenTelemetry Node SDK currently does not detect the OTEL_RESOURCE_ATTRIBUTES from .env files as of today. That’s why we need to include the variables in the tracing.js file itself.

   About environment variables:

   service_name : node_app (you can give whatever name that suits you)

   http://localhost:4318/v1/traces is the default url for sending your tracing data. We are assuming you have installed SigNoz on your localhost. Based on your environment, you can update it accordingly. It should be in the following format:

   http://<IP of SigNoz backend>:4318/v1/traces

   📝 Note

   Remember to allow incoming requests to port 4318 of machine where SigNoz backend is hosted.

3. Run the application
   The tracing configuration should be run before your application code. We will use the -r, —require module flag for that.
   

   node -r ./tracing.js app.js
   

   📝 Note

   If you're running your nodejs application in PM2 cluster mode, it doesn't support node args: Unitech/pm2#3227. As above sample app instrumentation requires to load tracing.js before app load by passing node arg, so nodejs instrumentation doesn't work in PM2 cluster mode. So you need to import tracing.js in your main application. The import ./tracing.js should be the first line of your application code and initialize it before any other function. Here's the sample github repo which shows the implementation.

With your application running, you can verify that you’ve instrumented your application with OpenTelemetry correctly by validating if your traces are being to SigNoz.

Manual Instrumentation in JavaScript

For those looking to gain deeper insights into their application's performance and behavior, manual instrumentation provides a powerful way to achieve this.

Refer to the documentation for Manual Instrumentation in NodeJS to delve into the step-by-step process of adding custom tracing to your Node.js applications.

Instrumentation Modules for Databases

The @opentelemetry/auto-instrumentations-node can inititialize instrumentation for popular databases. Hence it’s recommended to get started with it.

But if you are using specific auto-instrumentation packages, here’s a list of packages for popular databases.

MongoDB instrumentation

Supported Versions

• >=3.3 <5

Module that provides automatic instrumentation for MongoDB:

npm install --save @opentelemetry/instrumentation-mongodb

Redis Instrumentation

Supported Versions

This package supports redis@^2.6.0 and redis@^3.0.0 For version redis@^4.0.0, please use @opentelemetry/instrumentation-redis-4

npm install --save @opentelemetry/instrumentation-redis

MySQL Instrumentation

Supported Versions

• 2.x

Module that provides automatic instrumentation for MySQL:

npm install --save @opentelemetry/instrumentation-mysql

Memcached Instrumentation

Supported Versions

• >=2.2

Module that provides automatic instrumentation for Memcached:

npm install --save @opentelemetry/instrumentation-memcached

Troubleshooting your installation

Set an environment variable to run the OpenTelemetry launcher in debug mode, where it logs details about the configuration and emitted spans:

export OTEL_LOG_LEVEL=debug

The output may be very verbose with some benign errors. Early in the console output, look for logs about the configuration. Next, look for lines like the ones below, which are emitted when spans are emitted to SigNoz.

{
  "traceId": "985b66d592a1299f7d12ebca56ca1fe3",
  "parentId": "8d62a70aa335a227",
  "name": "bar",
  "id": "17ada85c3d55376a",
  "kind": 0,
  "timestamp": 1685674607399000,
  "duration": 299,
  "attributes": {},
  "status": { "code": 0 },
  "events": []
}
{
  "traceId": "985b66d592a1299f7d12ebca56ca1fe3",
  "name": "foo",
  "id": "8d62a70aa335a227",
  "kind": 0,
  "timestamp": 1585130342183948,
  "duration": 315,
  "attributes": {
    "name": "value"
  },
  "status": { "code": 0 },
  "events": [
    {
      "name": "event in foo",
      "time": [1585130342, 184213041]
    }
  ]
}

Running short applications (Lambda/Serverless/etc) If your application exits quickly after startup, you may need to explicitly shutdown the tracer to ensure that all spans are flushed:

opentelemetry.trace.getTracer('your_tracer_name').getActiveSpanProcessor().shutdown()

Sample Javascript App

• We have included a sample applications at:
  • Sample React App Github Repo
  • Sample NodeJs App Github Repo
  • Sample Distributed Tracing NodeJs App Github Repo

Further Reading

• Nodejs Performance Monitoring
• Implementing Distributed Tracing in a Nodejs application

Frequently Asked Questions

1. How to find what to use in IP of SigNoz if I have installed SigNoz in Kubernetes cluster?

   Based on where you have installed your application and where you have installed SigNoz, you need to find the right value for this. Please use this grid to find the value you should use for IP of SigNoz

2. I am sending data from my application to SigNoz, but I don't see any events or graphs in the SigNoz dashboard. What should I do?

   This could be because of one of the following reasons:

   1. Your application is generating telemetry data, but not able to connect with SigNoz installation

      Please use this troubleshooting guide to find if your application is able to access SigNoz installation and send data to it.

   2. Your application is not actually generating telemetry data

      Please check if the application is generating telemetry data first. You can use Console Exporter to just print your telemetry data in console first. Join our Slack Community if you need help on how to export your telemetry data in console

   3. Your SigNoz installation is not running or behind a firewall

      Please double check if the pods in SigNoz installation are running fine. docker ps or kubectl get pods -n platform are your friends for this.

What Cloud Endpoint Should I Use?

The primary method for sending data to SigNoz Cloud is through OTLP exporters. You can either send the data directly from your application using the exporters available in SDKs/language agents or send the data to a collector agent, which batches/enriches telemetry and sends it to the Cloud.

My Collector Sends Data to SigNoz Cloud

Using gRPC Exporter

The endpoint should be ingest.{region}.signoz.cloud:443, where {region} should be replaced with in, us, or eu. Note that the exporter endpoint doesn't require a scheme for the gRPC exporter in the collector.

# Sample config with `us` region
exporters:
    otlp:
        endpoint: "ingest.us.signoz.cloud:443"
        tls:
            insecure: false
        headers:
            "signoz-ingestion-key": "<SIGNOZ_INGESTION_KEY>"

Using HTTP Exporter

The endpoint should be https://ingest.{region}.signoz.cloud:443, where {region} should be replaced with in, us, or eu. Note that the endpoint includes the scheme https for the HTTP exporter in the collector.

# Sample config with `us` region
exporters:
    otlphttp:
        endpoint: "https://ingest.us.signoz.cloud:443"
        tls:
            insecure: false
        headers:
            "signoz-ingestion-key": "<SIGNOZ_INGESTION_KEY>"

My Application Sends Data to SigNoz Cloud

The endpoint should be configured either with environment variables or in the SDK setup code.

Using Environment Variables

Using gRPC Exporter

Examples with us region

• OTEL_EXPORTER_OTLP_PROTOCOL=grpc OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.us.signoz.cloud:443 OTEL_EXPORTER_OTLP_HEADERS=signoz-ingestion-key=<SIGNOZ_INGESTION_KEY>

Using HTTP Exporter

• OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.us.signoz.cloud:443 OTEL_EXPORTER_OTLP_HEADERS=signoz-ingestion-key=<SIGNOZ_INGESTION_KEY>

Configuring Endpoint in Code

Please refer to the agent documentation.

Sending Data from a Third-Party Service

The endpoint configuration here depends on the export protocol supported by the third-party service. They may support either gRPC, HTTP, or both. Generally, you will need to adjust the host and port. The host address should be ingest.{region}.signoz.cloud:443, where {region} should be replaced with in, us, or eu, and port 443 should be used.