Minikube, with Dan Lorenc

Kubernetes Podcast from Google - Un pódcast de Abdel Sghiouar, Kaslin Fields

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Minikube is a tool that makes it easy to run Kubernetes locally, by running a single-node Kubernetes cluster inside a VM on your desktop or laptop. Craig and Adam talk to author and maintainer Dan Lorenc from Google Cloud, and in the wake of the Super Bowl, discuss how “football” means something different to each of them. Do you have something cool to share? Some questions? Let us know: web: kubernetespodcast.com mail: [email protected] twitter: @kubernetespod Chatter of the week Adam watched the Super Bowl Craig watched some Superb Owls Outside the UK, you can watch them here You can watch some ads But not the ad for Blue Origin, which was pulled Snow day in Seattle! Jeff Bezos at the Super Bowl The Daily Mail is not really news Jeff Bezos’s earnings per minute News of the week Spark Operator for Kubernetes now in Beta IBM Cloud Databases report on the Operator Pattern New members in the CNCF TOC Alexis Richardson from Weaveworks Brendan Burns from Microsoft Joe Beda from VMware Matt Klein from Lyft Xiang Li from Alibaba Kelsey Hightower from Google Google Kubernetes Engine usage metering Advanced application deployments and traffic management with Istio on GKE GitHub repo Megan’s development workflow for Kubernetes Ambassador 0.5.0 API Gateways are going through an identity crisis Kubernetes as an API standard; looking toward a Rust implementation Links from the interview Dan leads a team working on: Minikube Skaffold Kaniko Knative Build Minikube was helped in the early days by Localkube from RedSpread, who were acquired by CoreOS (who were acquired by Red Hat, who were acquired by IBM) There was also Boot2docker, but Kubernetes didn’t like Docker-in-Docker much back then Guide for developing Minikube Other similar projects: Microk8s Docker Desktop Things it was hard to get working: Load balancers; solved via tunneling Persistent volume provisioning, solved with a custom hostpath provisioner Minikube Roadmap Dan Lorenc on GitHub and on the web

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