Microk8s for Kubeflow
Alpha
This Kubeflow component has alpha status with limited support. See the Kubeflow versioning policies. The Kubeflow team is interested in your feedback about the usability of the feature.This document outlines the steps that you can take to get your local installation of Kubeflow running on top of Microk8s, a small enterprise Kubernetes cluster. Microk8s requires Linux; if you are not on a Linux system, you can use Multipass to create a Linux VM (virtual machine) on your native hypervisor.
Introduction
If you already have Ubuntu or Linux that supports snaps, you can easily install Kubernetes using Microk8s. You can jump to the Install Kubeflow using Microk8s section below.
If you don’t have a Linux system already, or you would like to confine your Kubeflow to a disposable machine, then Create a VM with Multipass first and then follow the instructions below. That will get you an Ubuntu machine that can be used to install Kubernetes and Kubeflow.
Install Kubeflow using Microk8s
Here’s a summary of the steps involved:
- Set up Microk8s
- Enable Kubeflow
Note: the minimum version of Microk8s needed to enable Kubeflow is 1.18
1. Install and set up Microk8s
Run the following commands to install and setup MicroK8s:
snap install microk8s --classic
microk8s.status --wait-ready
# Enable common services:
microk8s.enable dns dashboard storage
# If you have a GPU, run: `microk8s.enable gpu`
2. Enable Kubeflow
Run the following command to enable Kubeflow:
microk8s.enable kubeflow
This script will print out the port number for Ambassador and for Jupyter notebook servers.
Access Kubeflow
If you installed Microk8s on your local host, then you can use localhost as the IP address in your browser. Otherwise, if you used Multipass, you can get the IP address of the VM with either multipass list
or multipass info kubeflow
.
Point browser to either:
- http://" Your kubeflow VM IP":“Ambassador PORT”
- http://localhost:" Ambassador PORT"
Next steps
- Refer to the microk8s common issues
- Refer to the multipass docs
- Refer to the user guide
- Refer to the components
- Refer to the guide to Jupyter notebooks in Kubeflow
Feedback
Was this page helpful?
Glad to hear it! Please tell us how we can improve.
Sorry to hear that. Please tell us how we can improve.