Traditional error-reporting tools (like BugSnag, Sentry, and Rollbar) only solve part of the problem. Originally designed for logging server-side errors, they later added browser SDKs as front-end applications grew more complex. While these tools capture some useful information like stack traces and metadata, many teams find that their alerting is too noisy (too many false positives to be useful), and that they don’t capture enough context to elucidate complicated issues.
Investigating front-end and backend errors are very different processes. Server-side code runs on a single platform. Often, the only state in the system that can cause hard-to-reproduce errors comes from easily logged events like database or cache queries. When an unhandled exception in server code takes place, it usually means there is a clear-cut problem that needs to be fixed.
On the front-end, things aren’t so simple. The average web application runs in over 15 different browsers, across hundreds of device types. State can be highly complex, coming from memory, local storage, local databases, service workers, and APIs. A web app must be robust to connectivity issues and cross-browser differences, and unlike the backend where exceptions are usually clear-cut, it can be tricky to gauge the impact on the frontend.
Given the frequency and diversity of errors that front-end developers see, the most important question becomes, did this affect the user? Unfortunately, looking at just a stack trace and an exception message, it’s very difficult to know. Is this a
P0 crippling bug? Or maybe just a nuisance.
Two years ago, we started thinking about what the perfect front-end bug report would look like. Clearly, it would collect basic information like a stack trace, metadata, and frequency histograms. But to really gauge the impact on the user, especially for hard-to-reproduce bugs, it has to let you actually see what happened.
LogRocket is our audacious attempt at doing just that — reproducing an issue as if it happened in your own browser.
At the center of a LogRocket error report is a pixel-perfect video that accurately captures what the user saw on screen. In order to do this without any performance impact, LogRocket instruments the DOM to record the HTML and CSS on the page at the time of the issue.
Watching the video is the fastest way to quickly know if an exception actually affected the user. And if it did, you can easily figure out what happened by reviewing network requests, logs, and application state.
When users ask for help, whether through a help desk, email, or worst of all, on Twitter — it is crucial that support and developers can quickly understand what went wrong. Unfortunately this typically means asking the user for screenshots, logs, and steps to reproduce.
With LogRocket, you can just search for a user and replay sessions where they encountered issues or asked for support. We’ve built integrations with most help desks like Intercom to let you view the user’s history directly from a chat.
Sometimes, it’s unclear if a user is just confused, or actually experiencing a bug. By reviewing the video replay, console and network logs from their session, you can easily make this distinction.
If front-end teams want to be able to ship new features quickly, they must have confidence that these issues are being proactively detected and surfaced.
Furthermore, issues of any type must be trustworthy — if there are too many false positives, alerts will simply be ignored.
If you’re an existing LogRocket customer or want to start working with us, get in touch and you can join the beta.
The shift toward rich single page apps has undoubtedly improved both user experience quality and developer productivity. But with greater complexity comes the need for more observability. Existing tooling is not yet sufficient for teams to have confidence in the front-end code they ship.
At LogRocket, we’ve taken what we believe is a big step toward a solution — but there’s lots more work to do. If you want to help define the next generation of tooling for front-end developers, we’d love to meet you. We’re hiring :)