Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to get compact and resilient Kubernetes in under 10 minutes.

Over the last decade, organisations have started virtualising their IT workloads and migrating from legacy monolithic infrastructure to cloud environments. Many choose VMware as a provider for their virtualised infrastructure. However, because of the costs associated with VMware licencing, support and professional services, many are not able to meet their primary goal - significantly reduced TCO. In search of alternative solutions, organisations have recently started exploring other platforms such as OpenStack.

Canonical has recently teamed up with Microsoft, to enable Kubernetes users to manage multiple K8s clusters from a single platform - Azure Arc. Even if you’re not a Microsoft user, you can attach any on-prem or public cloud Kubernetes cluster to Arc, and manage them from a centralised point. In this demo, watch how to administrate multiple and different K8s clusters with Canonical’s distributions of Kubernetes and Arc.

MicroK8s is Canonical’s lightweight Kubernetes, that allows for Kubernetes to be installed on any machine in under 60 seconds. Initially, microK8s was a single K8s cluster project, however as users grew to love this easy-to-deploy distribution, Canonical now enables them to create small K8s clusters for higher scalability. Watch this video to witness yourself how easily you can run a command, create your K8s cluster, and run it in an instance using microK8s.

In this video we install Kubeflow on a cloud VM and access the Kubeflow dashboard locally. This can be done similarly on Windows, macOS, or Ubuntu.

Want to contribute to the community by sharing your own tutorials? Just head over to https://ubuntu.com/tutorials

Lech will provide an update on the newest ways that Ubuntu is enabling the latest advancements in technology, and tie together how our experts are inspiring high end advancements for the industry.

Joshua talks about design considerations when implementing MAAS as the foundation of a bare metal self - service offering in a large enterprise. Examples he discusses include translating tickets to APIs, humans to computers and doing more with less.