.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.

Debugging performance issues in production can be a pain and, in some cases, impossible without the right tools. Java profilers have been around forever, but the profilers most developers think about are only one type: standard JVM profilers. However, using one type of profiler is not enough. Suppose you’re analyzing your application’s performance. There are multiple profiling activities which you may execute.

It’s remarkable to me how many developers have no idea what their time is worth. I speak with a lot of developers, and when I mention my work on TrackJS, I frequently hear “I could build that”. Yeah, you could. Observability tools aren’t rocket science. But you shouldn’t. Your time is too valuable to build better mousetraps. Your time is valuable and finite. Both to you and to your company.

In our Sentry for Data series, we explain precisely why Sentry is the perfect tool for your data team. The present post focuses on how we used Sentry to make debugging Apache Beam easier (and faster). Since its creation, Sentry has embraced a single vision: help all developer teams build the best software, faster. We want to give developers the information they need to resolve issues quickly, without having to dig through noisy log lines.

There are a lot of things we, at Sentry, love about Rookout, a Sentry Integration Platform early adopter. First of all, Sentry loves purple, and Rookout loves purple. And, Rookout helps fix software in production, and Sentry helps fix software in production. Together, the two tools cut time from error to resolution. Honestly, Rookout and Sentry integrating is just kismet.

If you’re a Rails developer, then you’ve probably used Rails Logger on at least one occasion or another. Or maybe you have used it without even realizing, like when you run ‘rails server’ and it prints information to the terminal window, for example. Rails Logger provides us with a powerful way of debugging our applications and gives us an insight into understanding errors when they occur.