Operations | Monitoring | ITSM | DevOps | Cloud

Sentry knows a lot about the inner workings of an application’s codebase. So we got to thinking, how can we use this rich dataset to make debugging with Sentry even faster? Many generative AI (GenAI) tools (e.g. GitHub Copilot) improve developer productivity in their dev environment, though few have the contextual data Sentry has to help fix errors in production.

Today, we’re making it even easier to find and solve user-impacting issues with three new Sentry Performance features.

Four years ago, we stepped on some big toes with our developer-first performance monitoring. Since then thousands of software teams have adopted our modern APM solution. But while Performance checks off a lot of boxes, some dev teams juggle separate tools for metrics, leading to a fractured experience. And honestly, what good is a metric without all the context you get from Sentry? Not very – it makes tying problems back to underlying errors or performance issues unnecessarily difficult.

With the release of.NET 8, Microsoft released a new framework called.NET Aspire that’s shaking up the way distributed applications are crafted. Aspire makes it painless to configure and deploy distributed apps in.NET. You can check out the Aspire docs for a full rundown.