In case you missed our pair programming session about how to run, crash, and debug a Native application using Sentry, worry not! Our artificial intelligence Richard — much more intelligent than it thinks — has used its special powers to upload a recording of our session. This time, we chose a very special victim: Symbolicator. That’s the service responsible at Sentry for processing native crash reports.
Two months in one! We’re wrapping things up for the year, but wanted to give you all an update on all the great things we’ve shipped in the closing of 2019.
Ignoring noisy and external errors is important to understanding the health of your client-side applications. Third-party scripts, user extensions, content crawlers, and non-impactful errors create lots of noise in web operations. With TrackJS Ignore Rules, you can filter out this noise and and have a clear view of your web application quality.
We’ve got a big update about to launch for Ignore rules, but we still had some time to improve the little things last month. Here are all the things we launched.
Do you work with an app that’s a dumpster-fire of errors? Wishing for an appropriate alert when you need to fight down the flames? Look no further friend. Today, we’re creating a Dumpster fire notification for your JavaScript errors with Particle and TrackJS. My friend Kristina is a wizard with hardware and LEDs. Awhile back, she made the dumpster fire to present at a conference, and she printed an extra one for me!
Today we’re announcing the first-ever solution for live debugging a CI/CD pipeline. You can now place stop/resume breakpoints and inspect live pipelines in the same way that developers debug their applications. It’s the easiest, fastest way to troubleshoot and fix bugs in complex pipelines. Live debugging is very well known to software developers and is one of the most efficient ways to find and fix bugs in application code.
Today, we’re releasing TrackJS Global Error Statistics to the public. This aggregated production data is a useful measure of the state of client-side JavaScript errors and the quality of the web. We break it down by the most common errors, browsers, and operating systems. We did this a few years ago with the State of Client-Side JavaScript Errors. It was quite useful, but very time consuming to produce.
.NET Profilers are a developer’s best friend when it comes to optimizing application performance. They are especially critical when doing low level CPU and memory optimizations. But did you know that there are three different types of profilers? All are very valuable but serve relatively different purposes and different types of performance profiling. Let’s explore the different types.
