If you’re using Sentry for JavaScript error monitoring, you may be familiar with a common challenge: sifting through noisy, low-value errors that hinder identifying high-priority issues for you and your team. Capturing errors in JavaScript browser project can be tricky. Why? Well, it’s not just a single environment.
As JavaScript has grown more prevalent on the web, so have JavaScript errors. As an error monitoring service, we have a unique perspective on how errors impact the web globally, and we are constantly learning more about how the web breaks. We’re thrilled to share this report today so we can all understand it better, and build a better web. We produce this report every week, you can check it out anytime via the free Global Error Statistics report.
Third-party JavaScript libraries provide developers with the tools they need to build modern web experiences, and a bit of cheatcode at times to not have to start from scratch. I mean, you don’t want to build an entire monitoring solution, so we help with Sentry’s Next.js SDK that only requires a couple of lines of code.
The demand for search functionality is growing, and many developers are trying to incorporate it into their applications. However, building one from scratch is challenging and time-consuming. Fortunately, many open-source libraries are available to relieve developers of this burden. This guide will provide the reader with a list of some of the best search packages for JavaScript.
We are very lucky on the Rollbar Customer Engineering Team because we get to work with many many development teams. Each team develops, tests, and deploys their applications in their own way. They have chosen different languages and frameworks to solve their particular problem. We learn from each team that we work with, and share these learnings to our Product Design team.
Bugs are one of the most troubling aspects of software development; they appear out of nowhere and cause everything to stop working. Most of the time, they can be resolved quickly; however, others can be gruesome and take hours/days to fix. Next.js is one of the most popular web development frameworks in the current world, and as a programming tool, it didn’t escape the bug dilemma either.
Sentry helps every developer diagnose, fix, and optimize the performance of their code, and we need to deliver high quality stack traces in order to do so. You might have noticed a significant improvement in Sentry JavaScript stack traces recently. In this blog post, we want to explain why source maps are insufficient for solving this problem, the challenges we faced, and how we eventually pulled it off by parsing JavaScript.
