You’re checking out on an e-commerce site. You have a cart with several items and quantities, and you click the checkout button. Under the hood, the operation flow might look like this: But alas, if you’ve designed your e-commerce site like this, you have likely created an atomicity problem. Atomicity in the Repository Pattern occurs when multiple repositories execute their queries in one transaction. If one query fails, all of them fail and must be rolled back.

While building Sentry, we also use Sentry to identify bugs, performance slowdowns, and issues that worsen our users’ experience. With our focus on keeping developers in their flow as much as possible, that often means identifying, fixing, and improving our integrations with other critical developer tools. Recently, one of our customers reported an issue with our Slack integration that I was able to debug and resolve with the help of our Trace View.

Having the right tools to support debugging is crucial for improving application performance and delivering an enhanced user experience. Traditional observability tools provide insights into application health and with a shift towards actionability, they also directly aid in the debuggability of your system, helping you pinpoint the root cause of issues in real-time.

Hydration failed because the initial ui does not match what was rendered on the server. Don’t you just love hate it when that happens?

Let’s start with things we already know - complex projects are inherently hard to debug. The more complicated they are, the harder it is to debug them. The size of the project naturally defines complexity’s lower bounds, but even the smallest projects can become unnecessarily complex and messy if you don’t pay attention to how you structure them. Though we can’t eliminate complexity, we can manage it effectively with the right approach.

In this guide, you’ll gather how to identify and solve the most common bugs and performance issues. We’ll cover debugging client-side React, if you have a React app that uses server-side rendering, you can also look at our Node.js debugging guide or on-demand workshop. In the below sections you’ll learn.

It’s a bold claim for me to say that every developer can benefit from something 40% of them haven’t heard of, but hear me out. I was among the 40% who didn’t know tracing existed until this summer. Still, I spent the last three months learning why it’s critical to a developer’s workflow and the different ways developers pragmatically use it. In this blog, I hope to show you that you can benefit from tracing regardless of your stack, role, size, or project.

Debugging Android apps has its unique challenges with crashes, ANRs, and inconsistent logs. But there are some easy ways to quickly identify and resolve issues, ensuring better performance and user experience. In this blog, we’ll explore basic tools and techniques to streamline Android debugging, talk about ANRs, and then go deeper with how Sentry can track errors and provide insights to help you prevent future issues.

As developers (and as front end developers in particular), we usually talk about web performance in the context of measuring what happens when we start to see things appear in a browser window, and when we can consume content or interact with the page.

For those who like to get straight to the point, here’s a quick summary of the latest noise-reducing improvements to the Issues experience: We’re feeling pretty good about these features. Might even go out on a limb and say they’re some of the most significant improvements to our error grouping and alerts ever. Need more convincing? Keep reading.