Operations | Monitoring | ITSM | DevOps | Cloud

Taylor Otwell, from @LaravelPHP breaks down what it's like to build an open source product.

This talk focuses on the challenges of debugging applications that are live, particularly when you receive nebulous user feedback, and an error is something in the backend that is hard to discover through traditional reproduction.

Debugging doesn’t have to be a pain. Sentry gives you actionable insights to track errors, optimize performance, and boost your team’s productivity.

Over the past few months, we introduced several new features and capabilities. While we released larger product updates like Trace Explorer, Insights modules, and our JavaScript V8 SDK (to name a few), it’s the smaller, iterative improvements that really make a big difference in your debugging workflow. Let’s dive into 8 recent updates that you should know about.

Building a high performance database @Supabase.

Building a high-performance database @prismadata.

Learn how to get started with Sentry for your Node.js app. In this workshop we’ll walk through the basics of setting up Sentry with a demo Node.js app. Using a demo Node.js app we’ll show how to set up Sentry in minutes and share a few examples of the rich debugging context you can see in Sentry.

Sentry LLM Monitoring (currently in beta), helps you track the cost and performance of your AI applications calling LLM providers like OpenAI and Anthropic. Debug issues fast by tracing the sequence of spans related to LLM inputs and outputs, and viewing user prompts, model version, and the line of code prior to an error.

How we fixed a slowdown in our ‘Slack Extensions' API in under 2 minutes with Sentry’s Tracing.

How @JoshFerge, an engineer at Sentry, debugged 60,000 failed requests with Metrics and Requests Insights — silencing alerts and eliminating those 404s in less than an hour.