AI is making its way into platform engineering—not just as a workload, but as a smart automation layer for how platforms are built, operated, and optimized. Promises of intelligent autoscaling, self-tuning systems, and AI-assisted remediation are everywhere. But how do these claims hold up in real-world Kubernetes environments?

In this deeply technical session, the latest generation of AI-powered features and patterns will be benchmarked and stress-tested in the context of platform operations. From scaling decisions to observability-driven automation and adaptive infrastructure behavior, the focus will be on how these systems perform under load, how they handle edge cases, and what the operational overhead truly looks like.

Attendees will walk away with a clear-eyed view of the strengths and limitations of AI-driven platforms, grounded in data—not just demos.

Because if your infrastructure says “I’ll be back,” it’s worth knowing what it’s planning.

Annie Talvasto is an award-winning international technology speaker and leader. She has spoken at over 100+ tech events worldwide, including KubeCon + CloudNativeCon and Microsoft Build & Ignite. She has been recognized with the CNCF Ambassador, Azure & AI Platform MVP awards. She has co-organized the Kubernetes & CNCF Finland meetup since 2017. In the past, she has also served as a track chair for KubeCon + CloudNativeCon, Program Chair for Secure AI Summit (powered by Cloud Native) and has been hosting Cloud Native Live, a weekly livestream by CNCF, since 2021.