Modern applications are complex inter-connected collections of services and moving parts that all have the potential to fail or not work as expected. Flutter and the language it’s built upon, Dart, are designed for event-driven, concurrent, and, most crucially, performant apps. It’s important for any developer using them to have a decent selection of debug tools.

There’s only so much you can control when it comes to your app’s performance. But you control what is arguably most important - the code. Sentry Performance gets you the code-level insights you need to resolve performance bottlenecks.

If you’re a front end developer, there’s a high probability you’ve built (or will build) an image-heavy page. And you’ll need to make it look great by serving high-quality image files. But you’ll also need to prioritize building a high-quality user experience by making sure your Core Web Vitals such as Cumulative Layout Shift and Largest Contentful Paint aren’t negatively affected, which also help with your search engine rankings.

Knowing what issues to hit the snooze button on, or drop everything and push a hotfix for is a common developer dilemma. Similarly to what was discussed in Sleep More; Triage Faster with Sentry, we’ve been collecting and iterating on customer feedback for ways to reduce issue noise and surface high-priority issues faster.

A stack trace lacking your source code with all the variables and function names, is like putting together a jigsaw puzzle without a picture for reference. You have all these randomly shaped pieces but no way to know how they fit together. Unless you are fluent in computer, making sense of a JavaScript stack trace with minified code is going to make debugging very difficult. Thankfully, by uploading source maps to Sentry, you can map back to the original source code to make sense of what went wrong.

When developers build and deploy their apps, understanding what’s slow or broken in production is more a necessity than a convenience. With Sentry, developers are able to quickly pinpoint and fix issues that impact their end users or business, and we want every developer to have the best error monitoring in place from the moment they deploy code to production. So we’re partnering with Fly.io to do just that.

Not sure which performance metric to use to measure your application performance? Don’t worry – you’re not alone. With a wide variety of options, the task of choosing the right metric can be daunting. This post will help you decide which metric is right for your monitoring needs by discussing the strengths and limitations of each metric.