KubeCon San Diego 2019 Flashback
anaqvi
on 23 November 2019
Tags: KubeCon , Kubeflow , kubernetes
This article is more than 5 years old.
KubeCon San Diego 2019 was a blast; lot’s of sun, beer, food, amazing projects and learning opportunities! It was great to see the community come together for the love of all things Kubernetes.
The Canonical booth was buzzing with excitement around MicroK8s, Multipass and Kubernetes clustering on that DIY Raspberry Pi clusters running Ubuntu and Kubeflow!
KubeCon highlights:
KubeCon was abuzz with exciting K8s projects and attracting a crowd of ~15,000 to sunny San Diego. The main themes and talks across KubeCon were Kubernetes(duh!), Kubeflow, and security. There were some pretty cool science projects, great networking and puppies!!
Canonical at Kubecon
The Canonical team was busy at the booth showcasing our multi-cloud Charmed Kubernetes and the exciting features of MicroK8s. Clustering and Kubeflow on Raspberry Pis, platform-agnostic Kubernetes deployments and full enterprise Kubernetes in a micro package.
It was a joy to see people’s reaction hearing about our MicroK8s and Kubeflow products. Single-line install of Kubernetes with Kubeflow on a Raspberry Pi in seconds; meet MicroK8s! We loved distributing an army of stickers, tees and beer to the wonderful attendees.
Until next time
Barely holding onto our voice, we hope to see you all in Amsterdam 2020. Until then, check out the Kubernetes that KubeCon at Canonical was fascinated by.
Canonical’s mission is to enable innovation and the open-source community, our projects can be found on Github. If you find bugs or would like to contribute, please open an issue on Github. Here’s a link to video recordings of the talks at KubeCon in case you missed it, happy learning!
What is Kubeflow?
Kubeflow is the foundation of tools for AI Platforms on Kubernetes. AI platform teams can build on top of Kubeflow, deploy the entire reference platform, or use each project independently to meet their specific needs.
The Kubeflow reference platform is composable, modular, portable, and scalable, backed by an ecosystem of Kubernetes-native open source projects for each stage of the AI/ML Lifecycle.
Install Kubeflow
The Kubeflow project is dedicated to making machine learning workflows on Kubernetes simple, portable and scalable. With Charmed Kubeflow, you can forget about operational issues and platform compatibility. Thanks to the power and flexibility of Juju, our open source operator framework, you can deploy Charmed Kubeflow on top of any CNCF-compliant Kubernetes distribution.
Use Kubeflow on desktop, bare-metal, public cloud, or edge servers.
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