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Get familiar with k3sa project by riafarov Project DescriptionKubernetes is widely used nowadays, but for the developers it's hard to test things locally, and many end up running single node setups. k3s is there to address this issue and provides lightweight stack to gain all advantages of the kubernetes with less efforts to run. |
Family with Lightweight Kubernetes - K3s + Kebuvirta project by xguo Project DescriptionLightweight Kubernetes- K3s. Production ready, easy to install, half the memory, all in a binary less than 100 MB. |
Workadventu.re at SUSEa project by jevrard For events like engineering summit or hackweeks, it would be nice to have a SUSE instance of workadventu.re, and have our own maps, wired with (open)SUSE's jitsi! I am looking for folks willing to help on those 3 teams: |
Exploring the Possibilities of Image Build and Management without Dockera project by jblainchristen Project DescriptionHacking on github://rancher/kim to test out some ideas. Suggestions welcome! |
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Humidity sensors with dashboarda project by joachimwerner Build a network of ("edge") humidity sensors using Raspberry Pis with SenseHats and additional cheaper sensorsFor our house, I want to make sure I can track the effectiveness of regularly ventilating the rooms by adding humidity sensors and tracking the measurements over time. |
Learn about kubernetes by creating a k3s HA setupa project by rsimai This is mostly a learning activity for myself, others may benefit from documentation. Project Description |
K3S Control Planes as a servicea project by ademicev0 Project DescriptionWe know that Kubernetes clusters need control planes but running them in dedicated VMs might not be always efficient, instead, we can run them as pods within the management cluster. |
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Hack on project MONAI (Medical Open Network for Artificial Intelligence)an invention by jordimassaguerpla Project DescriptionMONAI is a set of open-source, freely available collaborative frameworks built for accelerating research and clinical collaboration in Medical Imaging. The goal is to accelerate the pace of innovation and clinical translation by building a robust software framework that benefits nearly every level of medical imaging, deep learning research, and deployment. |