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.

Join us for a discussion with contributors, founders and CEOs of organizations like Laravel, Node.js, Prisma, and Supabase. Join us as these experts chat through the latest trends, technologies, and what’s next for backend development. Hear how they navigate challenges, listen to their community, and leverage cutting-edge tools to innovate fast.

Join Sentry engineer Yagiz Nizipli as he shares how he uses Sentry to fix Sentry. In this session, he’ll demo how he identified and optimized critical pipeline tasks, saving $160,000 per year. The improvements he made, including caching, improving traffic distribution, and enabling background threads Throughout the workshop, Yagiz will also share tips and best practices for using Tracing to uncover performance bottlenecks and drive continuous improvement across our own services.

Introducing new Insights for Caches and Queues– so you can finally figure out if your app is using caching correctly, why those cache misses are killing your latency, and see how queues are impacting your app's performance (while ensuring your background jobs aren’t being sent to /dev/null).