Skip to main content
  1. Blog
  2. Article

Canonical
on 28 July 2017

The Canonical Distribution of Kubernetes: Development Summary #4


This blog was originally posted by Tim Van Steenburgh

July 21st concluded our most recent development sprint on the Canonical Distribution of Kubernetes (CDK). Here’s a look at what we did.

Fixes and Improvements

Check out the full list on GitHub. Here are some notables:

  • Made load balancer port configurable
  • Changed default --service-cluster-ip-range to a /16 CIDR to allow more NodePort IP addresses
  • Fixed etcd snapshot action
  • Increased default worker node constraints to 4 cpu, 4GB RAM

Testing

  • Added a test to ensure dashboard is operational after deploy
  • Added a test for the built-in microbot example
  • Added a Jenkins job to test master charms with stable snaps. When this is green it means we can release whatever new fixes/features we have queued up in the charms, giving us the confidence to do more frequent releases.

Features

  • Calico spike. We want to provide a CDK + Calico deployment option that works on any cloud, just like our CDK + Flannel option. We’ve decided to go with a Calico-on-Flannel (Canal) approach initially. Canal combines the network policy enforcement of Calico with the ease-of-deployment of Flannel. Work begins in the current sprint!
  • RBAC spike. We mapped out the work necessary for enabling RBAC via charm config. Work begins in the current sprint!
  • Updated the canonical-kubernetes-elastic bundle. This bundle has been added to our Jenkins build process and updated with the latest 1.7 charms.

If you’d like to follow along more closely with CDK development, you can do so in the following places:

Until next time!

Related posts


Pedro Lazzarotto
11 June 2026

AI at the edge: simplifying infrastructure with Cisco and Canonical

AI Article

Legacy infrastructure was not designed for the requirements of the AI era. While large-scale model training remains centralized in data centers, test-time inference is rapidly shifting to the edge to reduce latency and bandwidth consumption. This shift creates a new frontier for enterprise AI, but deploying at the edge introduces signific ...


estelacarmona
11 June 2026

The next era of telco clouds: get open infrastructure choice with Sylva and Canonical Kubernetes

5G Article

Achieving vendor neutrality in telco clouds requires an infrastructure layer that respects open standards, without wrapping them in rigid platform layers. By combining upstream alignment with up to 15 years of support longevity, Canonical’s approach to Sylva is built around a requirement that matters deeply to telcos: follow upstream clou ...


Benjamin Ryzman
9 June 2026

What is RDMA over Converged Ethernet (RoCE)?

AI Networking

Previous articles walked through RDMA (Remote Direct Memory Access) as a programming model and InfiniBand as the fabric that was built around it. Both led to the same conclusion, even if it was never stated outright: moving data, not compute, becomes the bottleneck once systems scale. So what happens when you want RDMA, but you’re ...