Operations | Monitoring | ITSM | DevOps | Cloud

Join Serge for an introduction to tracing and how it applies to AI agents. Through live walkthroughs, you’ll see how to follow an agent’s execution, inspect model and tool calls, and find where things went wrong. No prior tracing experience is needed.

We use Sentry's new Regex search for Logs to hunt for non-obvious bugs in our app. What do you do when traces show that Postgres jobs are backing up? Logs are trace-connected, so by looking at one of the affected traces, we can see all of the logs on that trace. In there, we can see Postgres has logged that it acquired a lock only after a long wait. Using regex, we can find all of these logs that describe acquiring a lock after a 10-second-plus wait. That narrows our search from thousands or hundreds of logs down to about a dozen.

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.