Operations | Monitoring | ITSM | DevOps | Cloud

Session Replay isn’t just the video attached to your error. Join us for a hands-on look at creating custom React hooks, getting user feedback with replays attached, and the filters and tags that help you find the sessions you’re looking for.

When an AI agent fails in production, the trace shows what happened. Seer Agent helps you figure out why, and fix it.

Did you know you can search your Sentry data the way you'd ask a teammate? In this video, I use plain English to query traces, metrics and logs in Sentry's Explore pages, and Sentry turns each question into a real query for me. Using my skateboard parts store as the example, I ask three questions: For each one, Sentry picks the filter, the visualization, the group-by and the sort order. I didn't need to know the span operation, the metric name or the exact log message. Once you have the result, you can add it to a dashboard or turn it into a monitor so you keep an eye on it.

If you've never used Sentry, this is the short version. In under eight minutes, we walk through what it does, what it captures, and where to go next. Sentry is an application monitoring platform. It collects errors, logs, timings, and replays, and ties them together with tracing, so you can go from "something broke" to the line of code that broke it without opening six tabs. Here's what we cover: On data: out of the box, Sentry scrubs things like passwords, tokens, and credit card numbers. You decide what else gets collected, and you can choose US or EU storage.

Sentry offers both "Application Metrics" and "Logs", but both can seem pretty similar. Both logs and metrics are just a collection of attributes attached to a name in your code. Both can be counted, visualized, or alerted on. Both are not sampled by default. So how do you know which to choose? In this video, we'll briefly go over a few examples of when to use logs and when to use metrics. TLDR; Logs are designed for debugging and may be temporary or likely to change when problems arise. Metrics on the other hand are stable, purposely placed events used to track user behaviors.