In this demo, you'll explore how Kargo transforms your artifact journey from dev to production through declarative, auditable promotions. See real-time pipeline orchestration, automated verification, and intelligent stage progression in action.
It started as a "let's see how far this goes." It didn't stop where I expected. This is the story of how I rebuilt my homelab — from vSphere 7 to vSphere 9.1 with VKS — on a single 4-CPU, 64GB Supermicro box, almost entirely with the help of Claude Code. From bare metal to a cloud-native platform running FluxCD, Concourse CI, HashiCorp Vault, cert-manager, platform pipelines: built, deployed, and maintained with AI as a hands-on collaborator, not just an autocomplete. A live look at what changes when AI moves from "helping you write code" to "helping you run infrastructure" — and a starting point for the conversation about where that leaves platform engineers.
I want to talk about the differences between traditional (VMware) and cloud-native (Kubevirt) virtualization. In doing so, I want to show the WoW, the skills, the use case, and possibly the actual implementation. I especially want to give our VMware people a behind-the-scenes look, as this is often still a blind spot.
This is not a session to convince people of KubeVirt, but primarily to show how cool it is in a Cloud-Native environment.
