SoFunction
Updated on 2025-04-13

Vue uses Sentry to implement error monitoring

Preface

In the field of modern front-end development, the stability and performance of applications are crucial. To ensure that applications can operate stably in various environments, error monitoring tools become a must-have component in production environments. Sentry is a powerful open source error monitoring service that is widely used to track and repair abnormal situations in applications. Through the integration of Sentry, developers can capture, record and analyze users' errors in using the application in real time, thereby improving the reliability and user experience of the application.

This article will provide detailed information on how to integrate and use Sentry in Vue applications to help developers effectively monitor and manage errors in applications.

What is Sentry

Sentry is an open source real-time error monitoring tool that helps developers catch, report, and fix errors in their applications. Sentry supports a variety of programming languages ​​and frameworks and provides powerful analysis and notification capabilities.

Why use Sentry

Real-time error capture: Sentry can catch errors in real-time without missing any bugs.

Detailed error report: Provide detailed information such as error stack, user information, environmental data, etc. to help developers quickly locate problems.

Notification function: You can notify the development team through email, Slack and other means to ensure that problems are handled in a timely manner.

History and trend analysis: Helps development teams understand the frequency and trends of errors, so as to better optimize applications.

Integration of Sentry in Vue project

Below we will explain in detail how to integrate Sentry in Vue project step by step.

Step 1: Install dependencies

First, we need to install Sentry's JavaScript SDK and Vue adapter in our Vue project.

npm install @sentry/vue @sentry/tracing

Step 2: Initialize Sentry

Next, we need to initialize Sentry in the entry file of the Vue project (usually or ).

import { createApp } from 'vue';
import App from './';
import * as Sentry from '@sentry/vue';
import { Integrations } from '@sentry/tracing';

const app = createApp(App);

({
  app,
  dsn: 'https://your-dsn@/your-project-id', // Replace your-dsn and your-project-id with your own DSN and project ID  integrations: [
    new ({
      tracingOrigins: ['localhost', '', /^\//],
      routingInstrumentation: (router),
    }),
  ],
  tracesSampleRate: 1.0, // The sampling rate can be appropriately reduced in production environment});

('#app');

Step 3: Catch custom errors

In addition to automatically catching global errors, we can also manually catch some custom errors. For example, in a Vue component:

<template>
  <div>
    <button @click="throwError">Click me to trigger an error</button>
  </div>
</template>

<script>
export default {
  methods: {
    throwError() {
      try {
        // Simulate an error        throw new Error("This is a custom error!");
      } catch (error) {
        // Manually capture and send errors to Sentry        (error);
      }
    }
  }
}
</script>

Step 4: Configure the environment

In actual projects, we usually make different configurations according to different environments (development, testing, production). We can control the initialization of Sentry through environment variables.

import { createApp } from 'vue';
import App from './';
import * as Sentry from '@sentry/vue';
import { Integrations } from '@sentry/tracing';

const app = createApp(App);

if (.NODE_ENV === 'production') {
  ({
    app,
    dsn: 'https://your-dsn@/your-project-id',
    integrations: [
      new ({
        tracingOrigins: ['localhost', '', /^\//],
        routingInstrumentation: (router),
      }),
    ],
    tracesSampleRate: 1.0,
  });
}

('#app');

Advanced use

Next we can further explore some advanced usages to make the most of Sentry's capabilities.

Capture performance data

In addition to error monitoring, Sentry also supports performance monitoring. This can help us understand the performance bottlenecks of our application and optimize the user experience.

When initializing Sentry, we have enabled Tracing integration. We can capture performance data in the following ways:

({
  app,
  dsn: 'https://your-dsn@/your-project-id',
  integrations: [
    new ({
      tracingOrigins: ['localhost', '', /^\//],
      routingInstrumentation: (router),
    }),
  ],
  tracesSampleRate: 1.0,
});

Log important events with Breadcrumbs

Breadcrumbs is a mechanism provided by Sentry to record small events. These events are sent to Sentry when an error occurs, helping us better understand the ins and outs of the problem.

We can manually add Breadcrumbs, such as recording user click events:

methods: {
  handleClick() {
    ({
      category: '',
      message: 'The user clicked the button',
      level: ,
    });
    
    // Continue to handle click events  }
}

Customize user context

In some cases, we may need to understand which users are experiencing errors. We can do this by setting the user context:

({
  id: '12345',
  username: 'test_user',
  email: 'test_user@'
});

In this way, whenever an error is caught, Sentry will come with this user information to help us better analyze and resolve problems.

Context information and tags

We can add additional context information and labels to each error for better classification and filtering of errors. For example, we can add some custom tags:

('feature', 'new-dashboard');

Likewise, we can add some extra context information:

('transaction', {
  id: 'txn_123456',
  amount: 100,
});

Tracking uncaught Promise errors

In modern JavaScript applications, many operations are performed through Promise. By default, uncaught Promise errors are not caught by Sentry. We can catch these errors with the following code:

('unhandledrejection', function(event) {
  ();
});

FAQ

Sentry cannot catch some errors

Make sure your Sentry DSN and project ID are configured correctly.

Check the network request to see if any error reports have been successfully sent to Sentry.

Make sure that the Sentry SDK is initialized correctly and there are no error types that are ignored.

How to reduce the sampling rate

In a production environment, we may not need to capture all errors and performance data. We can control the sampling rate by adjusting tracesSampleRate:

({
  // ...Other configurations  tracesSampleRate: 0.2, // Capture 20% of performance data});

Summarize

Through this article, I believe you have mastered the core methods and some advanced techniques for integrating and using Sentry in Vue projects. Sentry's powerful functions such as real-time error capture, detailed error reporting, notification functions, and performance monitoring can not only help development teams discover and solve problems in a timely manner, but also provide important data support for application optimization. Whether it is an individual developer or a large team, Sentry is an indispensable tool that can greatly improve development efficiency and user satisfaction.

This is the end of this article about Vue using Sentry to implement error monitoring. For more related Vue Sentry error monitoring content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!