Node.js

Learn how to manually set up Sentry in your Node.js app and capture your first errors.

You need:

Choose the features you want to configure, and this guide will show you how:

Want to learn more about these features?
  • Issues (always enabled): Sentry's core error monitoring product that automatically reports errors, uncaught exceptions, and unhandled rejections. If you have something that looks like an exception, Sentry can capture it.
  • Tracing: Track software performance while seeing the impact of errors across multiple systems. For example, distributed tracing allows you to follow a request from the frontend to the backend and back.
  • Profiling: Gain deeper insight than traditional tracing without custom instrumentation, letting you discover slow-to-execute or resource-intensive functions in your app.

Run the command for your preferred package manager to add the Sentry SDK to your application:

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npm install @sentry/node @sentry/profiling-node --save

To import and initialize Sentry, create a file named instrument.(js|mjs) in the root directory of your project and add the following code:

instrument.js
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const Sentry = require("@sentry/node");
const { nodeProfilingIntegration } = require("@sentry/profiling-node");

// Ensure to call this before requiring any other modules!
Sentry.init({
  dsn: "https://examplePublicKey@o0.ingest.sentry.io/0",
  integrations: [
    // Add our Profiling integration
    nodeProfilingIntegration(),
  ],

  // Set tracesSampleRate to 1.0 to capture 100%
  // of transactions for tracing.
  // We recommend adjusting this value in production
  // Learn more at
  // https://docs.sentry.io/platforms/javascript/guides/node/configuration/options/#tracesSampleRate
  tracesSampleRate: 1.0,

  // Set profilesSampleRate to 1.0 to profile 100%
  // of sampled transactions.
  // This is relative to tracesSampleRate
  // Learn more at
  // https://docs.sentry.io/platforms/javascript/guides/node/configuration/options/#profilesSampleRate
  profilesSampleRate: 1.0,
});

Make sure to initialize Sentry before you require or import any other modules in your app. Otherwise, auto-instrumentation won't work for these modules.

Require the instrument.js file before any other modules:

app.js
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// Require this first!
require("./instrument");

// Now require other modules
const http = require("http");

// Your application code goes here

When running your application in ESM mode, use the --import command line option and point it to instrument.mjs to load the module before the application starts:

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# Note: This is only available for Node v18.19.0 onwards.
node --import ./instrument.mjs app.mjs

The stack traces in your Sentry errors probably won't look like your actual code. To fix this, upload your source maps to Sentry. The easiest way to do this is by using the Sentry Wizard:

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npx @sentry/wizard@latest -i sourcemaps

Let's test your setup and confirm that Sentry is working correctly and sending data to your Sentry project.

First, let's verify that Sentry captures errors and creates issues in your Sentry project. Add the following code snippet to your main application file, which will call an undefined function, triggering an error that Sentry will capture:

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setTimeout(() => {
  try {
    foo();
  } catch (e) {
    Sentry.captureException(e);
  }
}, 99);

To test your tracing configuration, update the previous code snippet by starting a performance trace to measure the time it takes for the execution of your code:

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Sentry.startSpan(
  {
    op: "test",
    name: "My First Test Transaction",
  },
  () => {
    setTimeout(() => {
      try {
        foo();
      } catch (e) {
        Sentry.captureException(e);
      }
    }, 99);
  },
);

Now, head over to your project on Sentry.io to view the collected data (it takes a couple of moments for the data to appear).

Need help locating the captured errors in your Sentry project?
  1. Open the Issues page and select an error from the issues list to view the full details and context of this error. For an interactive UI walkthrough, click here.
  2. Open the Traces page and select a trace to reveal more information about each span, its duration, and any errors. For an interactive UI walkthrough, click here.
  3. Open the Profiles page, select a transaction, and then a profile ID to view its flame graph. For more information, click here.

At this point, you should have integrated Sentry into your Node.js application and should already be sending data to your Sentry project.

Now's a good time to customize your setup and look into more advanced topics. Our next recommended steps for you are:

Are you having problems setting up the SDK?
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