Operations | Monitoring | ITSM | DevOps | Cloud

Paige Cruz (Chronosphere) shares why postmortems are never truly objective and how to make them useful anyway.

Three founders, one kitchen table, and a very honest end of year conversation. In this episode we look back on 2025, from moving continents and growing the company at pace, to ski trips that probably should not have happened, live demos that absolutely could have gone wrong, and the small moments that made the year memorable.

Stephen Whitworth, incident.io CEO and Co-founder, kicks off SEV0 San Francisco 2025 with an opening keynote focusing on the future of incident management in an AI-first world.

At incident.io, we’ve spent the past year shifting how we work to incorporate the AI into both how we build and what we build. The result? AI has become a fundamental pillar of our company. This is the story of how we built reliable AI for reliability itself — reshaping how teams manage and resolve incidents. From early experiments to a company-wide culture of building with AI, this is how we’re redefining incident response for the future.

Pete Hamilton, CTO, Lawrence Jones, AI Engineer, and Ed Dean, AI Product Manager runs through our new AI SRE product. AI SRE shortens time to resolution by automating investigation, root cause analysis, and a fix, all before you’ve even opened your laptop.

From 3 people in 2020 to 93 in 2025—incident.io has come a long way, and we’re just getting started. Whether you’ve been here since the early days or just joined, this is what it looks like to build something great *together*. If you're after:️️ Great people Real impact (across the globe, not just in Greece) A place where growth is the default And teammates who’ll always be there for you... We’re hiring! (And we're going to need a bigger couch…)

Molly Struve (Netflix) goes beyond the purely technical post-incident analysis, diving into the human element of system failure.

Michael Tweed (Skyscanner) shares the story of an incident that quietly broke data emission for days, and why none of their alerts (or AI) caught it.

No matter how hard you try to prevent it, your product will break. And sometimes, it breaks in the middle of the night. Getting paged at 3 a.m. is rough. Getting paged again two hours later because of a follow-up issue you missed the first time is even worse. So how can a manager stay aware when their team is having a tough night or a tough week on call, without relying solely on direct reports?