People want to have the convenience of deployment through Kubernetes, while still maintaining performance and management control. Moreno first began by getting Scylla working on Docker, and will discuss his in-depth investigation in getting passed performance bottlenecks. After finding how to get most of the performance back, then moved into Kubernetes. StatefulSets are production-ready since Kubernetes 1.9 but there is lot around StatefulSets that is not quite there. What are the tradeoffs of running a stateful application in a stateless environment? How do we minimize those tradeoffs to get the best operational reliability on Kubernetes without losing Scylla performance optimizations? What do you do when you are trying to run as close to the hardware as possible and then you containerize your installation? How do you remain an auto-tuning database when you are running in a containerized world? Learn how to use Docker, Kubernetes and Helm Charts with Scylla. We now invite members of the open source user community for your contributions, testing and feedback. Join our channels for #docker and #kubernetes on our open Slack!