Eddie Redick, CTC Ops
When everything fails at once... cascading service degradation, overlapping automations, and an over-eager AI auto-remediator - you don’t rise to the level of your architecture; you fall to the level of your systems thinking.
As AI and automation become deeply woven into the fabric of reliability engineering, teams are learning that convergence isn’t just technical — it’s cultural, cognitive, and procedural. What happens when human intuition collides with machine logic in the middle of a P1?
I have witnessed countless times where precious outage minutes are wasted chasing false positives. AI is garbage-in/out, or, as I always say, "Only as smart as you feed it."
Your engineers can spend countless Scrum hours planning and building the best next-gen tool, only to have it fall flat. Non-structured data is tricky. If not architected effectively or starved, it will waste away its ROI.
Site Reliability and Incident Management leader known for his philosophy of “Commanding the Chaos”. It's his framework focused on psychological composure, systems thinking, and automation at scale. With over 15 years of experience managing large-scale distributed systems and high-severity outages, he has led reliability, observability, and response transformations across complex tech ecosystems.
Passionate about bridging the gap between human intuition and machine intelligence — helping teams build systems that are not only reliable but resilient under stress. Eddie blends deep technical experience with a human-first leadership approach, bringing clarity to chaos when it matters most.
author = {Edward Redick},
title = {Human Factors in the Age of {AI} Ops: {Re-Engineering} Trust between Humans and Machines},
year = {2026},
address = {Seattle, WA},
publisher = {USENIX Association},
month = mar
}
