An intro to MicroK8s

Alex Cattle

on 27 January 2020

Tags: container orchestration , containers , kubernetes , MicroK8s , Ubuntu

This article is more than 5 year s old.

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

Kubernetes

What is Kubernetes?

Kubernetes, or K8s for short, is an open source platform pioneered by Google, which started as a simple container orchestration tool but has grown into a platform for deploying, monitoring and managing apps and services across clouds.

Learn more about Kubernetes ›

Give your platform the deep integration it needs

Canonical Kubernetes optimises your systems for any cloud, on a per-cloud basis. Maximise performance and deliver security and updates across your whole cloud. Per-cloud optimisations for performance, boot speed, and drivers on all major public clouds Out-of-the-box cloud integration with the option of enterprise-grade commercial support.

Get out-the-box integration with Canonical Kubernetes ›

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