Skip to main content
  1. Blog
  2. Article

Matt Bruzek
on 23 July 2015

Deploy a Kubernetes development cluster with Juju!


Our team has been working to make Kubernetes easy to deploy in a public cloud. In March we created some Juju charms that have the ability to deploy specific releases of Kubernetes on a public cloud. In April we worked to get the charm and bundle code in the Kubernetes project itself. Making it even easier for people to deploy a cluster from the official Kubernetes repository.

We have reached another milestone in the Kubernetes story. We added the ability to deploy a Kubernetes cluster with binaries built from local source! This is important to software engineers because it gives them an easy way to stand up a cluster and see their changes right away.

Development setup

To use this new feature the local environment must be set up for development. Refer to the Development Guide for details on how to set up your environment for development in the Go programming language.

Deploy local binaries

We are calling this deploy from source option “local”. Here is how it works:

  • Clone the Kubernetes project from Github:
    git clone http://github.com/GoogleCloudPlatform/kubernetes.git
    cd kubernetes
  • Set the Kubernetes provider to “juju”:
    export KUBERNETES_PROVIDER=juju
  • Change/edit the source code, and when you are ready, run the kube-up.sh script to deploy a cluster with your locally built binaries:
    cluster/kube-up.sh

The kube-up.sh script will build the required binary files (using make all), copy the binary files to the charm directory and deploy a cluster to the public cloud you have configured with Juju, if you do not have a public cloud configured you will be presented with the opportunity to configure one.

The resulting cluster consists of one kubernetes-master, two kubernetes nodes on different hosts. The etcd and flannel parts are there so the containers on different hosts can communicate with each other.

To get access to the controller node use juju ssh kubernetes-master/0 or the minion nodes with juju ssh kubernetes/0 commands. You will find the kubectl is already installed on the controller node.

When you are done with the cluster running kube-down.sh will destroy the cluster as expected.

cluster/kube-down.sh

Why use Kubernetes with Juju?

Juju provides a way to model deployments in a cloud agnostic language. The same commands can deploy a cluster on the major public clouds Amazon, Google Compute Engine, any OpenStack cloud, Windows Azure and many others. You will need to put your cloud credentials into Juju but that only needs to be done one time. This allows you to deploy a cluster on AWS, juju switch gce and deploy the same cluster on the GCE public cloud using the same kube-up.sh command. Juju reduces the cost of experimentation on other clouds and lets you focus on the Kubernetes development.

Help us improve!

There is a small team working on the Kubernetes story @whitmo, @chuckbutler, and @mbruzek. We are always trying to improve and make something useful for the community. If you find a bug in the code create an issue and reference one or all of us in the issue and we will have a look. If you have any feedback or a use case that we can help with please let us know. You can reach us on IRC in #system-zoo on irc.freenode.net.

Related posts


Canonical
10 March 2026

Fast-tracking industrial and AI deployment on Renesas RZ platforms 

Canonical announcements Article

Certified Ubuntu 24.04 LTS images now available Canonical is pleased to announce the general availability (GA) of certified Ubuntu 24.04 LTS and Ubuntu Core 24 images for the Renesas RZ/G2L and RZ/G2LC 64-bit microprocessors (MPUs) platforms. With a production-ready Ubuntu version, users can benefit from enterprise-grade security, long-te ...


Canonical
9 March 2026

Canonical and Arduino collaborate to enable Ubuntu on the VENTUNO Q, the next generation platform for AI

Ubuntu Article

Through a strategic partnership with Canonical, Arduino’s latest product offers a seamless Linux experience for complex AI workloads in robotics, edge AI vision and more. LONDON, UK – March 9, 2026 – Today, Arduino announced the launch of the Arduino® VENTUNO™ Q, a dual-brain board designed for high-performance computing and physical actu ...


ijlal-loutfi
6 March 2026

Sovereign clouds: enhanced data security with confidential computing 

Confidential computing Article

Increasingly, enterprises are interested in improving their level of control over their data, achieving digital sovereignty, and even building their own sovereign cloud. However, this means moving beyond thinking about just where your data is stored to thinking about the entire data lifecycle.  In this blog, we cover the differences betwe ...