Kubernetes is easy, isn't it? Creating Kubernetes cluster in public cloud take a few minutes, deploying an application it's like same. But how can we make sure that our cluster scales in an efficient way? And what can we do with workloads which are not really a good fit for Kubernetes?
Kim is Regional Field CTO and Solution Architect at CAST AI, focused on guiding Kubernetes users to cost efficient and automated platforms. Before CAST, he was working as Cloud Architect and Consultant for Cloudical, noris network and Deutsche Telekom. He’s passionate about cloud infrastructure, automation and open source technologies. He’s an open source contributor and public speaker.
