Delivery, Interrupted
By Cat Rayburn and Carl Caum
The dos and don'ts of continuous delivery, DevOps, and infrastructure.
Delivery, InterruptedFeb 20, 2021
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23:53
Interview with David Aronchick, creator of the Kubeflow project
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.
Nov 15, 202149:52
MLOps Part 3 - The DevOps side of MLOps
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.
Apr 25, 202130:36
MLOps Part 2 - Continuous Delivery
In part 2 of our series on MLOps, we dive into data management, training pipelines, and continuous delivery in an ML world.
Mar 03, 202129:46
MLOps Part 1 - Introduction to MLOps
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.
Feb 20, 202123:53
Replicating DevOps Success
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.
Jul 16, 202026:38