What can you do with Kubernetes?
James Donner
on 28 March 2018
Tags: containers , Kubeflow , kubernetes , Kubernetes Month , machine learning , MLOps , NFV
This article was last updated 2 years ago.
This is the first webinar in our Kubernetes Month series!
Speaker: Vinod Kumar
Date/Time: April 4, 2018 at 12PM EST / 5PM GMT
Need to get up to speed with Kubernetes? This webinar will give you the primer to the Kubernetes platform that you need. You’ve probably heard that Kubernetes is great technology, but have you considered how you can use it in the enterprise? We’ll give a comprehensive overview, demos, and even ideas into how it can be used in your business!
Join this webinar for an opportunity to…
- See how companies can save money and go faster with Kubernetes
- Learn how you can get started with Kubernetes from deployment to your first workloads
- Get an opportunity for Q&A with Canonical’s Container experts
Run Kubeflow anywhere, easily
With Charmed Kubeflow, deployment and operations of Kubeflow are easy for any scenario.
Charmed Kubeflow is a collection of Python operators that define integration of the apps inside Kubeflow, like
katib or pipelines-ui.
Use Kubeflow on-prem, desktop, edge, public cloud and multi-cloud.
What is Kubeflow?
Kubeflow makes deployments of Machine Learning workflows on Kubernetes simple, portable and scalable.
Kubeflow is the machine learning toolkit for Kubernetes. It extends Kubernetes ability to run independent and
configurable steps, with machine learning specific frameworks and libraries.
Install Kubeflow
The Kubeflow project is dedicated to making deployments of machine learning workflows on Kubernetes simple,
portable and scalable.
You can install Kubeflow on your workstation, local server or public cloud VM. It is easy to install
with MicroK8s on any of these environments and can be scaled to high-availability.
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