The Stack Overflow Podcast   /     Improving error monitoring with AI

Summary

Tillman Elser, AI/ML lead at Sentry, joins Ryan for a conversation about improving error monitoring with AI and ML. They talk through the challenges of analyzing stack traces, the innovative use of embeddings to improve error grouping, the trial-and-error process of developing algorithms, and where Sentry’s AI capabilities are headed next.

Subtitle
Tillman Elser, AI/ML lead at Sentry, joins Ryan for a conversation about improving error monitoring with AI and ML. They talk through the challenges of analyzing stack traces, the innovative use of embeddings to improve error grouping, the trial-and-err
Duration
00:27:29
Publishing date
2025-03-18 04:20
Link
https://stackoverflow.blog/podcast/
Contributors
  Ryan Donovan, Tillman Elser
author  
Enclosures
https://pdrl.fm/c28362/injector.simplecastaudio.com/6fa1d34c-502b-4abf-bd82-483804006e0b/episodes/907791d3-540c-4b65-9a43-f716ea7f9ce7/audio/128/default.mp3?aid=rss_feed&awCollectionId=6fa1d34c-502b-4abf-bd82-483804006e0b&awEpisodeId=907791d3-540c-4b65-
audio/mpeg

Shownotes

Sentry is an application monitoring software. Explore the Sentry docs or get started in the sandbox.

Connect with Tillman on LinkedIn. You can also read his posts on the Sentry blog.

Listeners, how do you handle stack traces? How do you trace the root cause? Let us know at podcast@stackoverflow.com

Sentry user? The company would love to hear your feedback. Let them know what you think on Discord