The Canonical Distribution of Kubernetes: Development Summary #4
Canonical
on 28 July 2017
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:
- https://github.com/kubernetes/kubernetes (cluster/juju directory)
- https://github.com/juju-solutions/bundle-canonical-kubernetes
- Kubernetes Slack channels and SIG meetings
- #juju on Freenode IRC
- juju@lists.ubuntu.com mailing list
Until next time!
Ubuntu cloud
Ubuntu offers all the training, software infrastructure, tools, services and support you need for your public and private clouds.
Newsletter signup
Related posts
An overview of machine learning security risks
Data is at the heart of all machine learning (ML) initiatives – and bad actors know it. As AI continues to occupy the limelight of modern tech discourse, ML...
Meet our federal team at Space Tech Expo USA
As our collaboration with Space agencies strengthens, we’re looking forward to meeting our partners and customers on-site to discuss the critical topics for 2024
From sales development to product: Adrian’s career progression at Canonical
From sales development to product: Adrian Matei’s career progression at Canonical