In this video, we'll show you how easy it is to get a micro cloud up and running with MicroK8s, even operating complex applications at the edge of the network, such as visual recognition.

Learn how to set up a Pi-Hole instance with a single command and a cluster of Raspberry Pis on MicroK8s. High availability, load balancing and Kubernetes configuration included. The Raspberry Pi 4 brings the graphics, RAM and connectivity needed for a Linux workstation, so why not use a cluster to set up your own Pi-Hole, the open source network-level ad blocker that acts as a DNS sinkhole or DHCP server.

The cloud-native way of building software allows for consistency across developer environments and massive scalability of application deployments. Both these attributes are useful for edge, but create new challenges related to security and resilience. Watch this demo to see how Canonical’s modular technology stack addresses these challenges by using well-known cloud primitives.

Graylog is one of the most popular tools for opensource monitoring and log management in telco environments. We will show how Charmed OSM with the help of juju eases its deployment and integration with MongoDB, elastic search, and other charmed telco network function elements. The same goes for a basic LMA stack with Prometheus and Grafana.

Did you know that 9 out of the top 10 US and EU financial institutions use Ubuntu? Learn how Ubuntu, as a secure platform, helps financial services drive business agility and faster innovation, all at a lower cost.

Although Kubernetes revolutionised the software life cycle, its steep learning curve still discourages many users from adopting it. MicroK8s is a production-grade, low-touch Kubernetes that abstracts the complexity and can address use cases from workstations to clouds to the edge. We’ll highlight the details of MicroK8s’ simplicity and robustness and demonstrate the different usage scenarios, running it on NVIDIA DGX, EGX, DPU and Jetson hardware using real applications from NVIDIA marketplace.

In this demo, we explore the portability of the popular AI/ML platform, kubeflow. We deploy two Kubernetes clusters with GPU capabilities: one on AKS, and one on Charmed Kubernetes deployed on AWS machines. Using the same commands and scripts, we deploy a Charmed kubeflow cluster on each of the two K8s clusters.

In this video, we install Kubeflow in a Kubernetes agnostic fashion using Juju and Charmed Kubeflow. This video exemplifies the steps necessary to install Kubeflow on any conformant Kubernetes, including AKS, EKS, GKE, Openshift and any kubeadm-deployed cluster, provided that you have access to it via kubectl. To install Kubeflow locally, you can simply install MicroK8s and enable the Kubeflow add-on.

In this video we demonstrate how to setup MicroK8s within Gitlab to build and deploy container applications.