During the keynote, Terry Shea discusses the continuing evolution of Kubernetes includes separating cloud, storage and other infrastructure dependencies from core Kubernetes. Additional developments, like the Open Service Broker, hold promise for rethinking how Kubernetes and cloud services interact. Emerging use cases in data science, machine learning, and other areas hold promise for broader benefits for enterprises. While use cases proliferate, support for more complex architectures like hybrid and multi-cloud continue to lag behind. And, Radu Immenroth discusses how they leverage Kublr to migrate their core applications to a microservices-based architecture enabling portability across cloud and hosting environments.