Empowering the Data Scientist with "1-Click" Production Deployment and Canary Testing of High-Performance and Highly-Scalable Spark ML and TensorFlow Models directly from Jupyter/iPython Notebooks using Docker, Kubernetes, Netflix OSS, Microservices, and Spinnaker. With proper tooling and metrics, Data Scientists can directly deploy, analyze, A/B test, rollback, and scale out their Spark ML and TensorFlow model into live production serving with zero friction. We will show you the open source tools that we've built based on Docker, Kubernetes, Netflix Open Source, Microservices, Spinnaker - and even Chaos Monkey! Speaker: Chris Fregly @ PipelineIO, formerly Databricks and Netflix