I have bought a Raspberry Pi 400 and would like to experiment how it integrates into SUSE ecosystem.

Project Description

There is always something to do if you run the infrastructure for such a big project like openSUSE.... Our Admin wiki currently lists over 80 machines - and while we already "salted" some of them, there is always room for improvement and room to learn something new just by making your hands dirty and diving into the administrator role for a machine.

Project Description

Set up Rancher Cluster on bare metal in Provo datacenter to host SUSE infrastructure projects like JIRA, Confluence, RocketChat and Jitsi.

The recent glibc 2.33 version recently available in Tumbleweed includes this change: ```

Project Description

• Create an automated L0-support-like analytics solution for supportconfig data that is tiered across a customer's environment and SUSE environment (similar to a very modular AIOps Edge-Core approach). A pictorial overview of the ecosystem

Bug reports can be a great source of information, but usually finding the information requires extensive work in reading through all of the discussions and understanding the details about it. Could it be that machine learning can be used to extract meaningful information out of that? That's what this project is about.

Let's make reposync faster

Every day,

Goal: I will look during this project for existing tools and test suites Upstream, used by others distros (like 1) Fedora, 2) Arch-Linux, 3) Debian), and try to learn how they test, use their tool, projects.

I've attempted this several times already and each attempt had different shortcomings. I'm kind of curious about how exactly will I fail this time. And it looks like I haven't failed this time.