This document discusses progress in using Kubernetes for big data applications. It begins by introducing Kubernetes and explaining its growing popularity due to support from major cloud providers and an open source community. It then discusses some challenges with using containers, particularly around state management. The document proposes using MapR's data platform to provide a global namespace and support for files, streams and tables to address state issues when using Kubernetes for big data applications.