Axiom Docs

OpenTelemetry provides a unified approach to collecting telemetry data from your Nuxt.js and TypeScript apps. This page demonstrates how to configure OpenTelemetry in a Nuxt.js app to send telemetry data to Axiom using OpenTelemetry SDK.

Prerequisites

Create an Axiom account.
Create a dataset in Axiom where you send your data.
Create an API token in Axiom with permissions to ingest data to the dataset you have created.

Install Node.js version 18 or newer.
Use your own app written in Nuxt.js, or follow this guide to create a new one.

Create new Nuxt.js app

Run the following command to create a new Nuxt.js app. Accept the default options during the initialization.

npx nuxi@latest init my-nuxt-app
cd my-nuxt-app

Install dependencies

Install the required OpenTelemetry packages:

npm install @opentelemetry/api @opentelemetry/sdk-node @opentelemetry/auto-instrumentations-node @opentelemetry/exporter-trace-otlp-proto @opentelemetry/sdk-trace-base @opentelemetry/resources @opentelemetry/semantic-conventions

Configure environment variables

Create a .env file in the root of your project to store your Axiom credentials:

AXIOM_TOKEN=API_TOKEN
AXIOM_DATASET=DATASET_NAME

Replace API_TOKEN with the Axiom API token you have generated. For added security, store the API token in an environment variable.Replace DATASET_NAME with the name of the Axiom dataset where you send your data.Replace AXIOM_DOMAIN with the base domain of your edge deployment. For more information, see Edge deployments.

Configure Nuxt.js app

Configure your Nuxt app in nuxt.config.ts to expose the environment variables to the runtime:

nuxt.config.ts

export default defineNuxtConfig({
  compatibilityDate: '2026-01-05',
  devtools: { enabled: true },

  runtimeConfig: {
    axiomToken: process.env.AXIOM_TOKEN,
    axiomDataset: process.env.AXIOM_DATASET,
  },

  nitro: {
    experimental: {
      openAPI: true
    }
  }
});

Server setup

Create server directories

Create the necessary directories for your server-side code:

mkdir -p server/api

mkdir -p server/plugins

Instrumentation plugin

Create the OpenTelemetry instrumentation plugin in server/plugins/instrumentation.ts. This file sets up the OpenTelemetry SDK and configures it to send traces to Axiom.

In Nuxt.js, you must initialize OpenTelemetry in a Nitro plugin, not in the nuxt.config.ts hooks, because API endpoints run in the Nitro server runtime.This example uses the ATTR_SERVICE_NAME constant instead of the deprecated SemanticResourceAttributes.SERVICE_NAME, and resourceFromAttributes() instead of new Resource() for compatibility with newer OpenTelemetry versions.

server/plugins/instrumentation.ts

import { NodeSDK } from '@opentelemetry/sdk-node';
import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-proto';
import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';
import { resourceFromAttributes } from '@opentelemetry/resources';
import { ATTR_SERVICE_NAME } from '@opentelemetry/semantic-conventions';

export default defineNitroPlugin((nitroApp) => {
  console.log('Initializing OpenTelemetry in Nitro server...');
  console.log('- AXIOM_TOKEN:', process.env.AXIOM_TOKEN ? `${process.env.AXIOM_TOKEN.substring(0, 10)}...` : 'NOT SET');
  console.log('- AXIOM_DATASET:', process.env.AXIOM_DATASET || 'NOT SET');

  const traceExporter = new OTLPTraceExporter({
    url: 'https://api.axiom.co/v1/traces',
    headers: {
      'Authorization': `Bearer ${process.env.AXIOM_TOKEN}`,
      'X-Axiom-Dataset': process.env.AXIOM_DATASET || ''
    },
  });

  // Add export success/error logging for debugging
  const originalExport = traceExporter.export.bind(traceExporter);
  traceExporter.export = (spans, resultCallback) => {
    console.log(`Exporting ${spans.length} span(s) to Axiom...`);
    originalExport(spans, (result) => {
      if (result.code === 0) {
        console.log(' Spans exported successfully to Axiom');
      } else {
        console.error(' Export failed:', result.error);
      }
      resultCallback(result);
    });
  };

  const resource = resourceFromAttributes({
    [ATTR_SERVICE_NAME]: 'my-nuxt-app',
  });

  const sdk = new NodeSDK({
    spanProcessor: new BatchSpanProcessor(traceExporter),
    resource: resource,
    instrumentations: [getNodeAutoInstrumentations()],
  });

  sdk.start();

  console.log('OpenTelemetry started in Nitro server');
});

Example API endpoint

Create an example API endpoint in server/api/hello.ts to test your OpenTelemetry setup. The example endpoint below demonstrates manual span creation. Each request to /api/hello creates a trace span and sends it to Axiom.

server/api/hello.ts

import { trace } from '@opentelemetry/api';

export default defineEventHandler((event) => {
  console.log('API endpoint hit: /api/hello');

  // Get the tracer from the global tracer provider
  const tracer = trace.getTracer('my-nuxt-app');

  // Create a manual span for this API request
  const span = tracer.startSpan('api.hello');
  span.setAttribute('http.method', 'GET');
  span.setAttribute('http.path', '/api/hello');

  const response = {
    message: 'Hello from Nuxt API!',
    timestamp: new Date().toISOString(),
    path: event.path
  };

  span.end();

  console.log('Manual span created and ended');

  return response;
});

Run instrumented app

In development mode

To run your Nuxt app with OpenTelemetry instrumentation in development mode:

npm run dev

You see the following output in the console:

Nuxt 4.2.2 (with Nitro 2.12.9, Vite 7.3.0 and Vue 3.5.26)

  ➜ Local:    http://localhost:3000/

Initializing OpenTelemetry in Nitro server...
- AXIOM_TOKEN: xaat-xxxxx...
- AXIOM_DATASET: nuxt-traces
OpenTelemetry started in Nitro server

Test setup

Test your API endpoint to generate traces:

curl http://localhost:3000/api/hello

You get the following response from the API endpoint:

{
  "message": "Hello from Nuxt API!",
  "timestamp": "2026-01-05T22:30:00.000Z",
  "path": "/api/hello"
}

After making 5-10 requests, you see the following output in the console:

Exporting 5 span(s) to Axiom...
Spans exported successfully to Axiom

In production mode

To build and run in production:

# Build the application
npm run build

# Start the production server
npm run preview

After generating some traces by visiting your API endpoints, go to the Stream tab in Axiom, and then click your dataset. You see the traces appearing in the stream.

Project directory structure

Your Nuxt.js project has the following structure:

my-nuxt-app/
├── server/
│   ├── api/
│   │   └── hello.ts          # Example API endpoint
│   └── plugins/
│       └── instrumentation.ts # OpenTelemetry configuration
├── .env                       # Environment variables
├── nuxt.config.ts            # Nuxt configuration
├── package.json              # Dependencies and scripts
└── tsconfig.json             # TypeScript configuration (auto-generated)

Root-level files

.env: Stores environment variables (API token, dataset name)
nuxt.config.ts: Nuxt configuration file that exposes environment variables to the runtime
package.json: Lists dependencies and npm scripts
tsconfig.json: TypeScript configuration (auto-generated by Nuxt)

Server directory

The server/ directory contains all server-side code that runs in Nitro, Nuxt’s server engine.

server/api/ directory contains API route handlers. Each file becomes an API endpoint:
- server/api/hello.ts → /api/hello
- server/api/users.ts → /api/users
- server/api/posts/[id].ts → /api/posts/:id
server/plugins/ directory contains Nitro plugins that run when the server starts:
- server/plugins/instrumentation.ts: Initializes OpenTelemetry SDK

Manual instrumentation

Manual instrumentation in Nuxt.js allows you to create custom spans for specific operations.

Initialize tracer

Import the OpenTelemetry API in any server file, such as server/api/hello.ts:

server/api/hello.ts

import { trace } from '@opentelemetry/api';

const tracer = trace.getTracer('my-nuxt-app');

Create spans

Wrap operations you want to trace:

export default defineEventHandler(async (event) => {
  const span = tracer.startSpan('database.query');

  try {
    // Your code here
    const data = await fetchDataFromDatabase();

    span.setStatus({ code: 0 }); // Success
    span.end();

    return data;
  } catch (error) {
    span.recordException(error);
    span.setStatus({ code: 2, message: error.message }); // Error
    span.end();

    throw error;
  }
});

Annotate spans

Add metadata to your spans, such as order.id, user.id, and order.amount:

const span = tracer.startSpan('process.order');

span.setAttribute('order.id', orderId);
span.setAttribute('user.id', userId);
span.setAttribute('order.amount', amount);

span.addEvent('payment_processed', {
  paymentMethod: 'credit_card',
  processorResponse: 'approved'
});

span.end();

Create nested spans

Create parent-child relationships between spans:

import { trace, context } from '@opentelemetry/api';

export default defineEventHandler(async (event) => {
  const tracer = trace.getTracer('my-nuxt-app');

  const parentSpan = tracer.startSpan('process.checkout');

  // Make parentSpan the active span
  await context.with(trace.setSpan(context.active(), parentSpan), async () => {
    // This span will be a child of parentSpan
    const childSpan = tracer.startSpan('validate.payment');
    await validatePayment();
    childSpan.end();

    // Another child span
    const childSpan2 = tracer.startSpan('create.order');
    await createOrder();
    childSpan2.end();
  });

  parentSpan.end();
});

Automatic instrumentation

Automatic instrumentation is already set up in the server/plugins/instrumentation.ts file:

server/plugins/instrumentation.ts

instrumentations: [getNodeAutoInstrumentations()]

This automatically traces:

HTTP requests and responses
Database queries (MySQL, PostgreSQL, MongoDB, etc.)
Redis operations
File system operations
DNS lookups
And many more Node.js operations

Reference

List of OpenTelemetry Trace Fields

Field Category	Field Name	Description
Unique Identifiers
	_rowid	Unique identifier for each row in the trace data.
	span_id	Unique identifier for the span within the trace.
	trace_id	Unique identifier for the entire trace.
Timestamps
	_systime	System timestamp when the trace data was recorded.
	_time	Timestamp when the actual event being traced occurred.
HTTP Attributes
	attributes.http.method	HTTP method used for the request.
	attributes.http.path	The API path accessed during the request.
	attributes.http.status_code	HTTP response status code.
	attributes.http.route	Route pattern (e.g., /api/:id).
	attributes.http.scheme	Protocol scheme (HTTP/HTTPS).
	attributes.http.user_agent	User agent string of the client.
Network Attributes
	attributes.net.host.port	Port number on the host receiving the request.
	attributes.net.peer.ip	IP address of the peer in the network interaction.
Operational Details
	duration	Time taken for the operation in nanoseconds.
	kind	Type of span (server, client, internal, producer, consumer).
	name	Name of the span (e.g., ‘api.hello’).
	scope	Instrumentation scope.
	service.name	Name of the service generating the trace.
Resource Attributes
	resource.process.pid	Process ID of the Nitro server.
	resource.process.runtime.name	Runtime name (e.g., ‘nodejs’).
	resource.process.runtime.version	Node.js version.
Telemetry SDK Attributes
	telemetry.sdk.language	Language of the telemetry SDK (javascript).
	telemetry.sdk.name	Name of the telemetry SDK (opentelemetry).
	telemetry.sdk.version	Version of the telemetry SDK.

List of Imported Libraries

`@opentelemetry/sdk-node`

The core SDK for OpenTelemetry in Node.js. Provides the primary interface for configuring and initializing OpenTelemetry in a Node.js/Nuxt app. It includes functionalities for managing traces, metrics, and context propagation.

`@opentelemetry/auto-instrumentations-node`

Offers automatic instrumentation for Node.js apps. Automatically collects telemetry data from common Node.js libraries and frameworks without manual instrumentation. Essential for Nuxt/Nitro server operations.

`@opentelemetry/exporter-trace-otlp-proto`

Provides an exporter that sends trace data using the OpenTelemetry Protocol (OTLP). Allows Nuxt apps to send collected traces to Axiom or any OTLP-compatible backend.

`@opentelemetry/sdk-trace-base`

Contains the BatchSpanProcessor and other foundational elements for tracing. The BatchSpanProcessor batches spans before sending them to the exporter, improving performance and reducing network overhead.

`@opentelemetry/resources`

Provides the resourceFromAttributes() function to create resource objects that identify your service in traces. Resources contain service metadata like service name, version, and environment.

`@opentelemetry/semantic-conventions`

Provides standard attribute names like ATTR_SERVICE_NAME for consistent telemetry data. Ensures your traces follow OpenTelemetry semantic conventions for better interoperability.

`@opentelemetry/api`

The OpenTelemetry API package that provides the trace and context APIs for manual instrumentation. This is a peer dependency that other OpenTelemetry packages rely on.

Advanced configurations

Custom span processor

For more control over span processing, use the SimpleSpanProcessor instead of the BatchSpanProcessor:

import { SimpleSpanProcessor } from '@opentelemetry/sdk-trace-base';

const sdk = new NodeSDK({
  spanProcessor: new SimpleSpanProcessor(traceExporter), // Exports immediately
  resource: resource,
  instrumentations: [getNodeAutoInstrumentations()],
});

Sampling

To reduce the volume of traces, use the TraceIdRatioBasedSampler to sample a percentage of traces:

import { TraceIdRatioBasedSampler } from '@opentelemetry/sdk-trace-base';

const sdk = new NodeSDK({
  spanProcessor: new BatchSpanProcessor(traceExporter),
  sampler: new TraceIdRatioBasedSampler(0.5), // Sample 50% of traces
  resource: resource,
  instrumentations: [getNodeAutoInstrumentations()],
});

Custom resource attributes

Add custom attributes to all traces, such as service.version and deployment.environment:

const resource = resourceFromAttributes({
  [ATTR_SERVICE_NAME]: 'my-nuxt-app',
  [ATTR_SERVICE_VERSION]: '1.0.0',
  'deployment.environment': process.env.NODE_ENV || 'development',
  'service.namespace': 'production',
});

Platform overview

Send data

Console

AI engineering

Miscellaneous

​Prerequisites

​Create new Nuxt.js app

​Install dependencies

​Configure environment variables

​Configure Nuxt.js app

​Server setup

​Create server directories

​Instrumentation plugin

​Example API endpoint

​Run instrumented app

​In development mode

​Test setup

​In production mode

​Project directory structure

​Root-level files

​Server directory

​Manual instrumentation

​Initialize tracer

​Create spans

​Annotate spans

​Create nested spans

​Automatic instrumentation

​Reference

​List of OpenTelemetry Trace Fields

​List of Imported Libraries

​@opentelemetry/sdk-node

​@opentelemetry/auto-instrumentations-node

​@opentelemetry/exporter-trace-otlp-proto

​@opentelemetry/sdk-trace-base

​@opentelemetry/resources

​@opentelemetry/semantic-conventions

​@opentelemetry/api

​Advanced configurations

​Custom span processor

​Sampling

​Custom resource attributes

Prerequisites

Create new Nuxt.js app

Install dependencies

Configure environment variables

Configure Nuxt.js app

Server setup

Create server directories

Instrumentation plugin

Example API endpoint

Run instrumented app

In development mode

Test setup

In production mode

Project directory structure

Root-level files

Server directory

Manual instrumentation

Initialize tracer

Create spans

Annotate spans

Create nested spans

Automatic instrumentation

Reference

List of OpenTelemetry Trace Fields

List of Imported Libraries

`@opentelemetry/sdk-node`

`@opentelemetry/auto-instrumentations-node`

`@opentelemetry/exporter-trace-otlp-proto`

`@opentelemetry/sdk-trace-base`

`@opentelemetry/resources`

`@opentelemetry/semantic-conventions`

`@opentelemetry/api`

Advanced configurations

Custom span processor

Sampling

Custom resource attributes