Skip to main content
  1. Blog
  2. Article

Marco Ceppi
on 4 May 2017

Canonical’s support for Kubernetes 1.6.2 released


We’re proud to announce support for Kubernetes 1.6.2 in the Canonical Distribution of Kubernetes and the Kubernetes Charms. This is a pure upstream distribution of Kubernetes, built with operators in mind. It allows operators do deploy, manage, and operate Kubernetes on public clouds, on-premise (ie vSphere, OpenStack), bare metal, and developer laptops. Kubernetes 1.6.2 is a patch release comprised of mostly bugfixes.

Getting Started

Here’s the simplest way to get a Kubernetes 1.6.2 cluster up and running:

# linux
 sudo snap install conjure-up --classic
 conjure-up kubernetes

# macOS
 brew install conjure-up
 conjure-up kubernetes

During the installation conjure-up will ask you what cloud you want to deploy on and prompt you for the proper credentials. If you’re deploying to local containers (LXD) see these instructions for localhost-specific considerations.

For production grade deployments and cluster lifecycle management it is recommended to read the full Canonical Distribution of Kubernetes documentation.

How to upgrade

To upgrade an existing 1.5.x or 1.6.x cluster, follow the upgrade instructions in the docs. Following these instructions will upgrade the charm code and resources to the Kubernetes 1.6.2 release of the charms.

New Features

  • Support for Kubernetes v1.6.2.
  • Update kubernetes-e2e charm to use snaps – pr:45044
  • Add namespace-{list, create, delete} actions to the kubernetes-master layer – pr:44277
  • Add cifs-utils package to kubernetes-worker (required for Azure) – pr:45117, fixes:227
  • Document NodePort networking for CDK – pr:44863, fixes:259

Bug Fixes

  • Update outdated link in kubernetes-master readme – pr:44988
  • Faster juju status updates when charm config changes – pr:44959, fixes:263
  • Make new leader retrieve certs from old leader – pr:43620, fixes:43563
  • Append authentication tokens instead of overwriting – pr:43620, fixes:43519
  • Ensure kubernetes-worker juju layer registry action uses correct ingress controller option name – pr:44921, fixes:44920
  • Send dns details only after cdk-addons are configured – pr:44945, fixes:40386, fixes:262
  • Fix ceph-secret type to kubernetes.io/rbd – pr:44635
  • When multiple masters, make worker choose one at random instead of trying to use all – pr:44677, fixes:255
  • Prevent installation of upstream (possibly unsupported by k8s) docker – pr:44681
  • Add –delete-local-data option to pause action – pr:44391, fixes:44392
  • Handle etcd scale events properly – pr:44967, fixes:43461
  • Resolve juju vsphere hostname bug showing only a single node in a scaled node-pool – pr:44780, fixes:237

How to contact us

We’re normally found in these Slack channels and attend these sig meetings regularly:

Or via email: kuberentes@ubuntu.com

Operators are an important part of Kubernetes, we encourage you to participate with other members of the Kubernetes community!

We also monitor the Kubernetes mailing lists and other community channels, feel free to reach out to us. As always, PRs, recommendations, and bug reports are welcome!

Related posts


Johann Wolf
27 April 2026

Why Web Engineering is great

Ubuntu Article

Like many software engineers, one of my first software development experiences started with creating my own web page. Since that time 20+ years ago, a lot has changed in the web landscape. Having worked a lot in web since then, I’d like to take a moment to reflect on what I think makes web great! ...


Ishani Ghoshal
27 April 2026

Ubuntu 16.04 LTS has reached the end of standard Expanded Security Maintenance with Ubuntu Pro. Here are your options.

Ubuntu Article

Ubuntu 16.04 LTS (Xenial Xerus) reached the end of its five-year Expanded Security Maintenance (ESM) window in April 2026. If you are still running 16.04, it is critical to address your support status to ensure continued security and compliance. Your support options Now that 16.04 is in its Legacy phase, you have two primary paths: ...


Rob Gibbon
27 April 2026

Understanding disaggregated GenAI model serving with llm-d

AI Article

What is llm-d? llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of generative AI – so when you chat with ChatGPT or Gemini, you’re talking to an LLM. Simple LLM deployments – where an LLM is deployed to a single server – can ...