Skip to main content
  1. Blog
  2. Article

Alex Cattle
on 27 January 2020


MicroK8s is the smallest, fastest multi-node Kubernetes. Single-package fully conformant lightweight Kubernetes that works on 42 flavours of Linux as well as Mac and Windows using Multipass. Perfect for: Developer workstations, IoT, Edge, CI/CD.

Anyone who’s tried to work with Kubernetes knows the pain of having to deal with getting setup and running with the deployment. There are minimalist solutions in the market that reduce time-to-deployment and complexity but the light weight solutions come at the expense of critical extensibility and missing add-ons.

If you don’t want to spend time jumping through hoops to get Kubernetes up and running, MicroK8s gets you started in under 60 seconds.

“Canonical might have assembled the easiest way to provision a single node Kubernetes cluster”

Kelsey Hightower, Google.

Join our webinar to learn why developers choose to work with MicroK8s as a reliable, fast, small and upstream version of Kubernetes and how you can get started. The webinar will also feature the add-ons available including Kubeflow for AI/ML work, Grafana and Prometheus for monitoring, service mesh tools and more.

Watch the webinar

Related posts


Canonical
27 May 2026

Introducing Workshop: launch sandboxed development environments on Ubuntu with a single command

Canonical announcements Article

Developers now benefit from consistency and repeatability for cutting-edge workflows, including agentic AI. Today, Canonical announced the release of Workshop, a solution for launching development environments with a single command. These environments are configured once, and can be reproduced on different machines. This means consistent ...


Youssef Eltoukhy
26 May 2026

Run agentic workloads on Arm and Ubuntu

AI Article

In the lead-up to Ubuntu Summit 26.04, Canonical and Arm are collaborating to certify the new Arm AGI CPU on Ubuntu 26.04 LTS (Resolute Raccoon). Learn what this means for developers and agentic AI. ...


Abdelrahman Hosny
21 May 2026

Developing web apps with local LLM inference

AI Article

I’ve yet to meet a developer that enjoys working with metered AI APIs. The need to pay for every API call in development works in direct opposition to the ethos of rapid iteration, and it’s easy for the costs to get out of hand. That’s why Canonical has created a different approach to building AI-powered ...