Kubeflow, the Machine Learning toolkit for Kubernetes, has hit 1.0. Google software engineer Jeremy Lewi is a core contributor to Kubeflow and was a founder of the project. He joins the show to discuss what Kubeflow does, and what it means to have hit 1.0.

Do you have something cool to share? Some questions? Let us know:

• web: kubernetespodcast.com
• mail: [email protected]
• twitter: @kubernetespod

Chatter of the week

• Over the Road
  • Over The Top and its amazing poster
• 13 Minutes to the Moon
  • With soundtrack by Hans Zimmer
  • We love our theme music, but its composer has fewer Academy Awards.

News of the week

• KubeCon Novel Coronavirus update
  • Schedules announced for day 0 events
• Kubeflow 1.0 is out
  • Google Cloud blog
• Kubernetes 1.18-beta.1
  • 1.18 features list
  • Poor unloved Sidecar Containers
• Screwdriver joins CD Foundation
  • Episode 44, with Tracy Miranda
• Introducing Arkade by Alistair Hey
• Install Kubernetes to your Raspberry Pi in 15 minutes by Alex Ellis
• Weathervane 2.0 from VMware
• AKS: Spot node pools and container scanning
• Vulnerable Containers API by Jerry Gamblin
• Advanced Persistence Threats: The Future of Kubernetes Attacks by Ian Coldwater and Brad Geesaman
  • Episode 65, with Ian Coldwater
• Everyone might be Cluster Admin in your Kubernetes cluster by Jeff Geerling
• Mirantis acquires Kontena
  • Episode 31, with Jari Kolehmainen
• CSI driver for Google Cloud Storage by Ofek Lev
• Bring your ideas to the world with kubectl plugins by Cornelius Weig
• Optimizing I/O intensive containers by Jay Huang

Links from the interview

• Kubeflow
  • Episode 2, with David Aronchick
  • About
  • Use cases
• Jupyter and its use in Kubeflow
• kfserving
• 1.0 release
• Enabling GPUs and TPUs
• Community
  • Member organisations
• MNIST tutorial
• Kubeflow on GitHub and on Twitter
• Jeremy Lewi on Twitter