---
title: "Canonical Kubernetes documentation\n    | Ubuntu"
description: Documentation for Canonical Kubernetes, as well as MicroK8s and Charmed
  Kubernetes
url: https://ubuntu.com/kubernetes/documentation?format=md
keywords: index, follow
---

# Learn Kubernetes: Documentation

Explore and learn how to deploy and operate Canonical Kubernetes distributions.

[Get in touch](https://ubuntu.com/kubernetes/contact-us)

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## Canonical Kubernetes

Built on experience we gained since 2015, our new Kubernetes distribution offers hassle-free maintenance, single-line installation process, and more control over your upgrade cadence. It's secure by default and comes with 12-year Long Term Support under Ubuntu Pro.

[Read the Canonical Kubernetes documentation ›](https://documentation.ubuntu.com/canonical-kubernetes/latest/)

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## Other distributions

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### MicroK8s

Lightweight, low-touch Kubernetes for cloud, edge and IoT. It brings all Kubernetes services and the most popular addons in a single package, and requires minimal ops for easy clustering, self-healing HA and simpler upgrades. Secure by default and CNCF conformant.

[Read the MicroK8s documentation ›](https://microk8s.io/docs)

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### Charmed Kubernetes

Composable, operator-based Kubernetes for the enterprise, with full life-cycle management for host and in-cluster with [Juju](https://juju.is/). It provides carrier-grade and hardware acceleration features, and support for third-party components and services. It gives you fully customizable deployments, with pluggable CNI, CSI, CRI and monitoring components. Secure by default and CNCF conformant.

[Read the Charmed Kubernetes documentation ›](https://ubuntu.com/kubernetes/charmed-k8s/docs)

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## Learn more about Canonical Kubernetes

[The European Space Agency modernized its infrastructure with Canonical Kubernetes](https://canonical.com/case-study/esa)

Find out why ESA chose Canonical to implement a new, dynamic platform for efficient, automated, and fast deployment of systems across their missions.

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[Optimize your ML workloads on Kubernetes](https://ubuntu.com/engage/optimise-ml-workloads-on-kubernetes)

Leverage your existing computing power to accelerate model training in order to move your ML projects to production.

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[How to run workloads on bare metal Kubernetes with MAAS](https://ubuntu.com/engage/bare-metal-kubernetes)

Understand bare metal Kubernetes and how it compares to virtual machines.

[Find more resources](https://ubuntu.com/kubernetes/resources)

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## Get your K8s questions answered today

[Contact us](https://ubuntu.com/kubernetes/contact-us)