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@sentry/node
Advanced tools
Sentry Node SDK using OpenTelemetry for performance instrumentation
The @sentry/node package is a tool designed for real-time monitoring and fixing crashes in Node.js applications. It provides error tracking and performance monitoring, helping developers to quickly identify, diagnose, and fix problems in their applications. Sentry integrates seamlessly with your existing codebase, offering a range of features to enhance application reliability and user experience.
Error Tracking
Automatically capture exceptions and errors in your Node.js applications. The code initializes Sentry with your project's DSN and demonstrates how an uncaught exception is automatically reported to Sentry.
const Sentry = require('@sentry/node');
Sentry.init({ dsn: 'YOUR_DSN_HERE' });
app.get('/', function mainHandler(req, res) {
throw new Error('Broke!');
});
Performance Monitoring
Track the performance of your application, including request times and slow operations. This code sample starts a transaction, simulates an operation with a timeout, and then finishes the transaction, which is then reported to Sentry for performance analysis.
const Sentry = require('@sentry/node');
const transaction = Sentry.startTransaction({ op: 'test', name: 'My First Test Transaction' });
setTimeout(() => {
transaction.finish();
}, 99);
Custom Event Capturing
Send custom messages or events to Sentry. This is useful for capturing non-exception events that are significant for your application's health monitoring and diagnostics.
const Sentry = require('@sentry/node');
Sentry.captureMessage('Something went wrong', 'error');
Bugsnag provides error monitoring for web, mobile, and server applications. Similar to @sentry/node, it offers real-time error reporting and allows for detailed error diagnostics and performance monitoring. Bugsnag differentiates itself with features tailored to mobile app monitoring.
Rollbar offers real-time error tracking and debugging tools for developers. Like @sentry/node, it supports multiple programming languages and frameworks, including Node.js. Rollbar emphasizes its ability to help teams with workflow integrations and automated error grouping for efficient management.
Raygun provides crash reporting, real-user monitoring, and deployment tracking. It's similar to @sentry/node in its core functionalities of error tracking and performance monitoring but also offers unique features like user journey tracking and version comparisons to understand the impact of deployments.
npm install @sentry/node
# Or yarn
yarn add @sentry/node
Sentry should be initialized as early in your app as possible. It is essential that you call Sentry.init
before you
require any other modules in your application, otherwise auto-instrumentation of these modules will not work.
You need to create a file named instrument.js
that imports and initializes Sentry:
// CJS Syntax
const Sentry = require('@sentry/node');
// ESM Syntax
import * as Sentry from '@sentry/node';
Sentry.init({
dsn: '__DSN__',
// ...
});
You need to require or import the instrument.js
file before importing any other modules in your application. This is
necessary to ensure that Sentry can automatically instrument all modules in your application:
// Import this first!
import './instrument';
// Now import other modules
import http from 'http';
// Your application code goes here
When running your application in ESM mode, you should use the Node.js
--import
command line option to ensure that Sentry is loaded before
the application code is evaluated.
Adjust the Node.js call for your application to use the --import
parameter and point it at instrument.js
, which
contains your Sentry.init
() code:
# Note: This is only available for Node v18.19.0 onwards.
node --import ./instrument.mjs app.mjs
If it is not possible for you to pass the --import
flag to the Node.js binary, you can alternatively use the
NODE_OPTIONS
environment variable as follows:
NODE_OPTIONS="--import ./instrument.mjs" npm run start
9.40.0
This release adds two Browser SDK APIs to let the main thread know about debugIds of worker files:
webWorkerIntegration({worker})
to be used in the main threadregisterWebWorker({self})
to be used in the web worker// main.js
Sentry.init({...})
const worker = new MyWorker(...);
Sentry.addIntegration(Sentry.webWorkerIntegration({ worker }));
worker.addEventListener('message', e => {...});
// worker.js
Sentry.registerWebWorker({ self });
self.postMessage(...);
The internal SDK logger
export from @sentry/core
has been deprecated in favor of the debug
export. debug
only exposes log
, warn
, and error
methods but is otherwise identical to logger
. Note that this deprecation does not affect the logger
export from other packages (like @sentry/browser
or @sentry/node
) which is used for Sentry Logging.
import { logger, debug } from '@sentry/core';
// before
logger.info('This is an info message');
// after
debug.log('This is an info message');
This release adds official support for instrumenting OpenAI SDK calls in with Sentry tracing, following OpenTelemetry semantic conventions for Generative AI. It instruments:
client.chat.completions.create()
- For chat-based completionsclient.responses.create()
- For the responses API// The integration respects your `sendDefaultPii` option, but you can override the behavior in the integration options
Sentry.init({
dsn: '__DSN__',
integrations: [
Sentry.openAIIntegration({
recordInputs: true, // Force recording prompts
recordOutputs: true, // Force recording responses
}),
],
});
@opentelemetry/instrumentation
range to cover 0.203.0
(#17043)Work in this release was contributed by @0xbad0c0d3 and @tommy-gilligan. Thank you for your contributions!
FAQs
Sentry Node SDK using OpenTelemetry for performance instrumentation
The npm package @sentry/node receives a total of 6,993,700 weekly downloads. As such, @sentry/node popularity was classified as popular.
We found that @sentry/node demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 10 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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