Some months ago we wrote a quick guide on how to use Sentry with Spring Boot and Logback. Since then, we’ve continued working on improving the development experience, added several features for error reporting and, most importantly, implemented the performance feature in Sentry Java SDK with a dedicated integration with Spring MVC. If you haven’t yet used Sentry in a Spring Boot application - nothing to worry about - you will find all the necessary steps below.

Your applications most likely consist of multiple components. These components could be written in different languages, with each individually instrumented with Sentry’s SDK. The goal of our tracing solution is to make sure developers get a full picture of the data captured within their tech stack. Tracing allows you to follow a request from the frontend all the way to your backend application and back.

As most developers know, alert-fatigue is real, and the last thing you want is another feed of notifications. Read on to learn how the new Alert Details view helps you filter out notifications for Issue Alerts you don’t care about, and how it can help you focus on the ones that do. When you get started with Sentry, you’ll likely create an Alert for every Issue.

We’ve recently completed a large beta test for our new product here at Testmo. We build a test management tool, so most of our users are professional software testers. As you can imagine, our customers are a rather critical group of users when it comes to software quality. We’ve learned some important lessons about running a large beta test and we want to share how we benefited from Sentry error reporting to identify, find, and fix issues quickly.

Since inception back in 2007, Apple and the iOS ecosystem has drastically improved with a plethora of changes and new features added (or removed) over time. At the same time, the size of the applications and the data has consistently grown. This has its own impact on the powerhouse in your hand - the iOS device. Developers strive to design the best experience, often compromising speed and performance.

When you have more than 150 engineers shipping new features daily, with 8 automatic deployments running at the top of every hour and teams regularly pushing new code, tuning out the noise takes on a whole new meaning. Take monday.com.