Real world production systems have heterogeneous workloads, that can require multiple layers of orchestration.
Not all the workloads are suitable to be containerized, and very often containers run on virtual machines scheduled by a cloud-scheduler (AWS, OpenStack, Google Cloud, etc).
Managing and maintaining this kind of infrastructures on-premise (or in hybrid scenarios) could have lot of operations and maintenance costs and risk.
In this talk we will present how Kubernetes can be used to schedule mixed VM and Docker workloads reducing operations and maintenance costs and risks.