Delivery, Interrupted Cat Rayburn and Carl Caum

In this episode, we interview David Aronchick, the first non-founding product manager for Kubernetes and the creator of the Kubeflow project, about the state of the ML industry and what's next.

For the final episode of 3 part series on MLOps, we cover the DevOps side of MLOps. We'll talk about tooling, capacity planning, as well as the roles and responsibilities we see emerging in the field.

In part 2 of our series on MLOps, we dive into data management, training pipelines, and continuous delivery in an ML world.

This episode the first of a multi-part series on MLOps, or Machine Learning Operations. We'll dive into what machine learning is, how businesses should approach it, and what you'll need before jumping in.

Today we talk to Mike Smith, a Principal Sales Engineer at Puppet, about the challenges of replicating DevOps success in one team to the rest of the IT organization. We discuss process, culture, metrics, platform teams, and other topics that help you scale DevOps success to more teams.