Mano Marks

DockerCon SF 2018 Cool Hacks Spotlight: Kubeflow

The closing keynote at DockerCon is traditionally the Cool Hacks keynote. This year, we featured three great hacks showing off innovative uses of Docker. In this post, I’d like to highlight one in particular, the Kubeflow demo with David Aronchick, and Michelle Casbon. Machine Learning (ML) is becoming increasing popular, and important to enterprises. Kubeflow is an ML toolkit for Kubernetes, developed by Google. It’s a dedicated, portable and scalable approach to machine learning, using tools you’re already using to deploy other applications. It’s great because data scientists can use it to test out model creation on their laptops. And data engineers can take the models and use the power of Docker Enterprisein the cloud to further train and use the models in production. In their demo, David and Michelle showed building an app using Kubeflow first with Docker Desktop and then Continue reading…

Mano Marks

It’s a wrap! The DockerCon Cool Hacks closing keynote.

Yesterday we continued a long tradition at DockerCon, the Cool Hacks closing keynote. In our Cool Hacks keynote, we like to emphasize applications that push the limits and applications that represent major future trends in container workloads. We also like to feature applications that demonstrate how Docker fueled innovation can be used every day. This DockerCon, the three applications we chose embodied all of these characteristics. Our first hack, by Christopher Heistand of the Johns Hopkins University Applied Physics Laboratory is helping save the world. The Double Asteroid Redirect Mission Test (DART) is testing kinetic impact against an asteroid to measure whether one can be redirected. They use Docker to emulate the specialized and expensive hardware, saving them money and development time. David Aronchick (@aronchick ‏) and Michelle Casbon (@texasmichelle)  demonstrated our second hack with Kubeflow. Machine learning in production Continue reading…