Kubernetes and AI are transforming how we build and ship software, but the learning curve is steep, and the cost of mistakes is high: poor DevEx, downtime, rising cloud bills, and reputational risk. Many organizations have evolved from the DevOps mantra of “you build it, you run it” to centralized Platform Engineering teams to move faster. Yet, the hard-won lessons from a decade of DevOps are more relevant than ever.

Join this session to discover what still matters:
- Why great workflows matter more than shiny tools.
- How easy it is for Platform Engineering to become a bottleneck.
- The power of shared responsibility and safe innovation.
- The importance of the day 300 problem.
- Why early buy-in accelerates adoption and transformation.

Walk away with proven strategies to scale Kubernetes and AI success through Platform Engineering.

This is a thought leadership talk that doesn't focus on specific tools or processes but on lessons learned. This talk is for DevOps engineers, Platform Engineers, or Developers who care about scaling up their