Errors and performance issues in JavaScript applications can be challenging to manage without the right tools. Sentry offers a comprehensive solution for monitoring code performance and errors, focusing on the application layer. This tool is specifically designed for developers, providing insights into how their code behaves in production.
One of the primary features of Sentry is its ability to monitor errors effectively. By integrating Sentry into your JavaScript application, you can receive real-time alerts when something goes wrong. Whether it's an unexpected error or a slowdown in your application, Sentry captures these events and sends notifications, for example, to Slack, enabling quick response times.
Setting up Sentry is straightforward. By visiting docs.sentry.io, developers can access the necessary documentation. A simple NPM install and initialization of the Sentry SDK with sentry.init and a few configuration options are all it takes to get started. Once set up, Sentry automatically captures unhandled errors, while allowing for manual error capture in cases where developers manage errors themselves.
Upon encountering an error, Sentry provides detailed information about the incident. The issue page reveals the 'Who, What, When, Where, and Why' of the error. It includes details such as the error type, message, frequency, and user environment specifics, like the browser and operating system used. Additionally, custom tags and stack traces are available, offering developers a comprehensive view of the error's context.
Moreover, Sentry supports source maps, which are crucial for JavaScript applications. When JavaScript code is minified, the stack traces can become unreadable. By uploading source maps, developers can view the original, human-readable source code, making it easier to debug and understand issues.
Integration with source code management tools is another valuable feature. Sentry identifies suspect commits that may have introduced the error, allowing developers to trace the issue back to its source. This feature enhances collaboration among teams, as it provides clarity on who might be responsible for the problem.
Beyond error monitoring, Sentry excels in performance monitoring. It captures data on slow transactions and user experience metrics, such as Google's web vitals. These metrics help developers understand how their applications perform in real-world scenarios and identify potential bottlenecks.
For example, when faced with a slow endpoint, Sentry highlights the user misery score and transaction times. Developers can drill down into recent transactions, examining the resources and assets loaded by the browser. This detailed view helps pinpoint where time is being spent and what might be causing delays.
Sentry's tracing feature further aids in identifying performance issues. By tracing requests from the frontend to the backend, developers can locate slow database queries or inefficient code paths. This capability eliminates the need for extensive log analysis across multiple applications, saving time and effort.
To ensure timely responses to critical performance issues, Sentry allows developers to set up alerts based on transaction thresholds. Alerts can be configured to notify teams via email or Slack when certain performance criteria are not met. This proactive approach helps in maintaining optimal application performance and user satisfaction.
By consolidating error and performance monitoring into a single platform, Sentry streamlines the debugging process. It automates many of the tasks that would otherwise require manual intervention, enabling developers to focus on addressing the root causes of issues efficiently.
Overall, Sentry provides a robust solution for developers seeking to enhance their application's reliability and performance. Its intuitive interface and powerful features make it an invaluable tool for managing the complexities of modern JavaScript applications.
We've got a JavaScript frontend hitting a Node (Express.js) backend. We'll go through how to know which party is responsible for which error, what the impact is, and all the context needed to solve it.
This talk has been presented at Node Congress 2022, check out the latest edition of this JavaScript Conference.
Sentry is a code monitoring tool designed for developers. It specifically monitors errors and performance issues in the application layer, alerting developers when code is broken or running slowly.
To start with Sentry for JavaScript, you need to install the Sentry SDK via NPM, initialize it using 'sentry.init', and configure it with the necessary options. This setup allows Sentry to monitor and report errors and performance issues in your JavaScript applications.
Sentry can automatically detect and report uncaught and unhandled errors in your code. Additionally, developers can manually report handled errors using Sentry's 'capture exception' feature, enhancing the monitoring of the application's robustness.
Sentry provides detailed error reports that include information such as the error type, message, stack trace, and user actions leading up to the error. It also integrates with source code management tools to identify suspect commits and can link errors across different projects or services.
Breadcrumbs in Sentry are a trail of user actions and events leading up to an error or performance issue. They provide a timeline that helps developers understand what the user was doing right before the issue occurred, aiding in quicker diagnosis and resolution.
Sentry's performance monitoring features include tracking slow transactions and endpoints, analyzing Google's Web Vitals, and providing insights into user misery scores. It allows developers to see detailed transaction data, including resource loading times and backend processing delays.
Setting up alerts in Sentry allows teams to proactively monitor and respond to critical performance issues or errors. Alerts can be customized based on thresholds for transaction times and can notify teams via methods like email or Slack, ensuring immediate attention to potential problems.
Sentry is code monitoring for developers, specifically designed for the application layer. It helps identify error details, frequency, release, user information, and stack trace. Source maps can be uploaded to see the original source code and suspect commits can be identified. Performance monitoring helps identify slowdowns and determine the cause. Automating alerts and investigating errors helps gain instant context and trace errors across different projects.
I'm Chris, a solutions engineer at Sentry. Today, we'll discuss monitoring errors and slowdowns in JavaScript. Sentry is code monitoring for developers, specifically designed for the application layer. We'll cover error monitoring and performance monitoring. On our demo site, we encounter a slow products endpoint and an error. With Sentry, we can identify the error's details, including its frequency, release, user information, and stack trace. Breadcrumbs provide insights into the user journey leading to the error.
2. Analyzing Errors and Performance
If you have raw minified stack trace, you can upload source maps to see the original source code. Sentry integrates with source code management tools to identify suspect commits. It traces child error events and provides insights into different projects. Once the root cause is identified, attention can be turned to performance. The user misery score reflects slow performance, and transactions can be analyzed to identify slowdowns. Context and breadcrumbs help understand user actions, and tags provide additional information. Sentry's tracing feature helps pinpoint issues in the back end, such as inefficient database queries. By consolidating all relevant context, Sentry simplifies error and performance problem solving.
3. Automating Alerts and Investigating Errors
Automate tasks and set up alerts to be notified in Slack. Create alerts directly from the products page to monitor transaction performance. Email the team and send Slack notifications based on critical or warning status. Surface errors and gain instant context. Investigate error details, occurrence frequency, and impact. Trace errors across different projects. Performance monitoring helps identify slowdowns and determine the cause.
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