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Yeah, I'm exited for the videos! And will the photos be posted here?
With AI triggering alert fatigue and burnout, it’s time to clean up your alerts — is this something anybody is actually doing? https://thenewstack.io/how-ai-can-help-it-teams-find-the-signals-in-alert-noise/
I believe that my (former) team at eBay is doing something like this. For a very broad overview, check out Aravind Kannan's talk at cdCon: https://ossna2025.sched.com/event/1zflG/transforming-software-development-and-engineering-velocity-at-ebay-with-aiml-in-cicd-aravind-kannan-ebay
LMK if that is the kind of thing you are looking for. I would be happy to connect you with Aravind if that would be helpful.
Very nice article @jenniferkriggins . Aligned to what I’m focusing on (or will be doing). I believe there are more and more Incidents Response tools (alternatives of PagerDuty) that integrate such AI capabilities to clean up alerts: alerts grouping, insights, postmortem of similar past alerts (check for Incident io, squadcast and Rootly). I can’t share my personal experience as we are not there yet but I firmly believe it all starts with mature SLOs as your article described. I’m really curious about the knowledge transfer to the AI to create those « mental map » especially when companies face maintainability challenges with their confluence or documentation systems.