Sentry on Talk Python To Me
#555: Marimo Pair - A Canvas for Agent + Developers Collaboration
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Methodology and limitations →Transcript
This portion of Talk Python to Me is brought to you by Sentry. You know Sentry for their great error monitoring. But let's talk about logs. Logs are messy. Trying to grep through them and line them up with traces and dashboards just to understand one issue isn't easy. Did you know that Sentry has logs too? And your logs just became way more usable. Sentry's logs are trace-connected and structured, so you can follow the request flow and filter by what matters. And because Sentry surfaces the context right where you're debugging, the trace, relevant logs, the error, and even the session replay all land in one timeline. No timestamp matching, no tool hopping. From front end to mobile to back end, whatever you're debugging, Sentry gives you the context you need so you can fix the problem and move on. More than 4.5 million developers use Sentry, including teams at Anthropic and Disney+. Get started with Sentry logs and error monitoring today at talkpython.fm slash Sentry. Be sure to use our code, talkpython26. The link is in your podcast player's show notes. Thank you to Sentry for supporting the show.
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