---
title: Kubernetes 1.23 rc testing with MicroK8s
description: Kubernetes 1.23 release candidate is now available for testing and experimentation
  and MicroK8s is the fastest way to try it out.
url: https://canonical.com/blog/kubernetes-testing-microk8s-1-23-release-candidate?format=md
---

1. [Blog](https://canonical.com/blog)
2. Article

---

[Alex Chalkias](https://canonical.com/blog/author/achalkias "More about Alex Chalkias")

24 November 2021

# Kubernetes 1.23 rc testing with MicroK8s

[kubernetes](https://canonical.com/blog/tag/kubernetes)
[MicroK8s](https://canonical.com/blog/tag/microk8s)
[release candidate](https://canonical.com/blog/tag/release-candidate)

---

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Today, Kubernetes 1.23 release candidate was made available upstream for testing and experimentation. General availability is planned for December 7th, so now is the time to report back any issues or bugs. Developers, DevOps and open source software enthusiasts can try out the latest features using [MicroK8s](https://microk8s.io/).

MicroK8s is a lightweight, CNCF-certified Kubernetes distribution with a streamlined UX. It can run from a local workstation to the cloud and is ideal to build edge clusters as it includes all Kubernetes services and useful addons in a single light package. MicroK8s tracks all upstream releases, and allows users to select between stable versions for production, beta, or release candidate versions for testing.

## How to install the latest Kubernetes

It takes a single command to get the latest Kubernetes with MicroK8s:

```
sudo snap install microk8s --channel=1.23/candidate --classic
```

Alternatively, go to <https://snapcraft.io/microk8s> and select 1.23/candidate.

MicroK8s on the Snapcraft webpage

MicroK8s runs on Ubuntu and all major Linux distributions, [Windows](https://ubuntu.com/tutorials/install-microk8s-on-windows#1-overview), and [macOS](https://ubuntu.com/tutorials/install-microk8s-on-mac-os#1-overview). It is [optimised](https://ubuntu.com/blog/microk8s-memory-optimisation) to run on devices of small form factors such as the [RaspberryPi](https://ubuntu.com/tutorials/how-to-kubernetes-cluster-on-raspberry-pi?&_ga=2.226925593.569641029.1615897880-603441733.1611930154#1-overview) or the NVIDIA Jetson, with support for x86 and ARM architectures. For more on MicroK8s, you can [read the docs](https://microk8s.io/docs) or [follow the tutorials](https://microk8s.io/tutorials).

We welcome your feedback on [Discourse](https://discuss.kubernetes.io/c/general-discussions/microk8s/26) or [Slack](http://slack.kubernetes.io/) (#microk8s). And if you have any bugs or technical issues to report, you can file them on [GitHub](https://github.com/ubuntu/microk8s/issues).

Photo by [National Cancer Institute](https://unsplash.com/@nci?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/microscope?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)

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