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Kubernetes

Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications.
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The Changelog The Changelog #330

source{d} turns code into actionable insights

Adam caught up with Francesc Campoy at KubeCon + CloudNativeCon 2018 in Seattle, WA to talk about the work he’s doing at Source{d} to apply Machine Learning to source code, and turn that codebase into actionable insights. It’s a movement they’re driving called Machine Learning on Code. They talked through their open source products, how they work, what types of insights can be gained, and they also talked through the code analysis Francesc did on the Kubernetes code base. This is as close as you get to the bleeding edge and we’re very interested to see where this goes.

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Practical AI Practical AI #23

Pachyderm's Kubernetes-based infrastructure for AI

Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also walked us through a process for going from a Jupyter notebook to a production data pipeline.

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The Changelog The Changelog #282

The impact and future of Kubernetes

From KubeCon + CloudNativeCon 2017 — Brendan Burns (Kubernetes co-founder) and Gabe Monroy (creator of Deis) joined us on The Changelog to talk about the origin, impact, and future of Kubernetes and cloud infrastructure. If Kubernetes let’s you not think about your machines, I think in many cases people don’t even want to have machines, this move towards serverless containers and the orchestration of serverless containers is the next really important part of what we’re doing. — Brendan Burns, Kubernetes co-founder

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