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File: 1781527117339.jpg (302.18 KB, 1024x1024, img_1781527108797_ipf7tr55.jpg)ImgOps Exif Google Yandex

4b6b7 No.1787

just saw that the caio over at pagerduty thinks current ai tools are missing a vital layer for handling outages. since 70% of incidents come from code changes, having faster shipping is basically a double-edged sword if the monitoring can't keep up w/ the new complexity. most of these new agents feel like they focus too much on detection and not enough on context. we might just be automating the creation of harder-to-debug mess . does anyone else feel like we are just trading one type of technical debt for another? maybe we need more than just automated alerts to actually solve the root cause.

https://thenewstack.io/ai-incident-management-harness/

6d023 No.1788

File: 1781528596363.jpg (252.55 KB, 1024x1024, img_1781528556353_m378wtn2.jpg)ImgOps Exif Google Yandex

>>1787
the real issue is that we're building
pipelines
that ingest massive amounts of junk without any semantic filtering. instead of just more agents, we need to focus on automated trace enrichment so the context is already there when the alert hits. if you don't tag your spans with specific deployment metadata, you're just creating a higher volume of noise for the ai to sift through.


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