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Debugging a Django Application

Oct 26, 2024 By Naveera A. In Sentry
Debugging Django applications can be challenging, but it’s key to keeping your app running smoothly in production. From unexpected bugs to performance slowdowns, finding and fixing issues efficiently keeps users happy and reduces downtime. For example, when an error occurs on a critical page, like a checkout page, identifying the issue quickly is crucial to avoid disrupting user transactions.
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Guide to Error & Exception Handling in React

Oct 17, 2024 By Armin Ulrich In Sentry
No app is perfect. Even if we try our best to test all possible cases, sometimes things will go wrong. It only takes one failing request to get you in trouble. It’s how we handle it that makes the difference between an application crash and a graceful fail. In this article, we’ll cover the basics of error and exception handling in React apps. We’ll also explore different kinds of errors and best practices for recovering from them in a user-friendly way.
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Downtime happens, fix it faster - Uptime monitoring now in open beta

Oct 9, 2024 By Gabriel Lopes In Sentry
That moment when everything’s running smoothly—users engaged, conversions flowing—until your site takes a break, and you find out from a tweet. We’ve all been there, scrambling to fix an issue that’s been broken for who knows how long while social media lights up. A few minutes of downtime, and now you’re not just fixing the issue—you’re dealing with frustrated users and a reputation hit.
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Atomic Repositories in Clean Architecture and TypeScript

Oct 3, 2024 By Lazar Nikolov In Sentry
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.
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Debugging a Slack Integration with Sentry's Trace View

Oct 2, 2024 By Raj Joshi In Sentry
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.
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Observability and Tracing: How to Improve Your Debugging Workflow

Sep 26, 2024 By William O'Neal In Sentry
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.
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[Workshop] Fix Your Front-End: JavaScript Edition

Sep 25, 2024 By Sentry In Sentry
Hear from the team behind our JavaScript SDKs as they share practical tips to make debugging more tolerable. In this session we covered: Setting up and configuring Sentry for frontend projects How to trace frontend errors back to backend issues Analyzing web vitals to identify performance bottlenecks Using session replay for better user insights.
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Faster APIs, Better Experiences: Debugging Next.js to slash API Load Times with Dan Mindru

Sep 25, 2024 By Sentry In Sentry
From sluggish API calls to elusive bugs, debugging your Next.js application doesn’t have to mean hours of staring at logs and deciphering dashboards. Join Dan Mindru, co-host of the Morning Maker show, as he shows you how to debug errors and performance issues using Sentry’s Tracing and Session Replay. We’ll start by diving into API performance optimization, where you’ll learn to identify and fix bottlenecks efficiently. Next, see a live demo of how Dan uses tracing and session replay to capture and replay user sessions to fix issues across their stack.
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