Operations | Monitoring | ITSM | DevOps | Cloud

So you're building an MCP server for your project or service, to allow AI chatbots and agents to interact with it? Great! You've decided to build it using Cloudflare Workers, have written the code, shipped it, and the first users are getting onboard: you're officially running it in production. That's when problems start. I'm not here to dissuade you from shooting your shot, but let's make sure you've got your bases covered in production when something inevitably goes wrong.

For a while, tracing in Sentry was... fine. You could open up a slow transaction, poke around, find the N+1, and feel like a hero. But if you wanted to answer more complex questions - like why your payment API was getting slower in Europe, or which CDN was silently tanking your image loads - things got harder. We didn't really build it to help with answering broad questions.

You remember that first time spinning up a Laravel app? Routes, auth, ORM, queues, all wired up without much effort. It’s one of the reasons Laravel feels productive out of the box. But when something starts slowing down, an Eloquent query drags, a job takes forever, or cache misses creep up, it’s not always obvious where to look. Laravel gives you the tools, but connecting the dots between them is usually on you.

Today I'm thrilled to announce that Emerge Tools is joining Sentry. Emerge builds best-in-class mobile tooling trusted by some of the most important brands in the world. You’ve probably seen the work of the team through their relentless efforts to improve mobile builds, efforts we’ve always admired here at Sentry. It was no surprise that when we finally met Emerge founders Josh and Noah we found that we shared a similar view of the world and hit it off instantly.

When your checkout flow breaks, customers disappear faster than most ‘cutting-edge’ JS metaframeworks. Thankfully, setting up observability for your critical paths—like a customer checkout—is painless with Sentry. Let's walk through how we instrumented, monitored, and fixed a major issue, with minimal effort.