Operations | Monitoring | ITSM | DevOps | Cloud

This video walks through what it looks like to treat Sentry's Seer agent the way you already treat a chatbot, asking it plain language questions about your own production application. From Slack or inside your Sentry account, Seer Agent can answer questions with real context: the affected spans, the recent release, the likely cause. Seer doesn't stop at answering questions. Ask it to act on what it just told you and it completes that work inside Sentry, serving as an assistant to your projects, team workflows, and your future self.

Welcome to HotFix, the show where Sentry customers return the favor. We helped Exa fix their code. Now, it's their turn to fix our organization.

Checkout suddenly got a lot slower for a chunk of users, and the only clue was a spike in an application metric. In this walkthrough, we go from that spike to a linked trace that shows exactly where the time went. Using Codex alongside Sentry, we dig into the trace data, isolate the slowdown to the European backend, and follow it down to a single Stripe request that's dragging everyone down with it. Along the way, we talk through what actually helps here: caching, timeouts, async calls, and other ways to keep one slow dependency from becoming everyone's problem.

As fast as AI can generate code, getting that code to production still tends to slow things down. It makes sense. When code breaks in production it’s not just a nuisance; it’s a full-blown incident. And can have big impacts for your company and customers. The question really is, can you catch broken code as quickly as you can ship it? In this livestream, Peter McCarron, Technical Product Marketing at Sentry, is joined by Tom Totenberg, Head of Release Automation at LaunchDarkly, to talk about how you can automatically protect new releases from code merge to error detection.

Welcome to HotFix, the show where Sentry customers return the favor. We helped Golden State fix their code. Now, it's their turn to fix our CEO’s jump shot.