This is to provide partners with video tutorials to help with the certification of their SES and SOC cluster solutions. The goal is to simplify the setup process in order to provide a better experience for the partner. If we can alleviate some of the stress of setting up a cluster more partners will certify their solutions.

Project Description

Looking for ways to capture hardware-specific data and use them later to predict unexpected behaviors. Tools can be collectd, prometheus-nodeexporter, ipmiexporter , grafana-agent or other.

Project Description

> Tungsten is supposed to be a memory-safe and type-safe language front-end for LLVM which borrows many elements from C and C# syntax.

Having gotten access to some SMR prototypes it should be possible to tweak btrfs to run natively on those devices. Using SSD mode helps a lot, but there is still some work to be done. So this will be a good chance to learn something about the inner details of btrfs and see if I can get it to run on SMR drives.

Simplify the codebase by using a more modern toolkit to accelerate maintenance and future development. Enjoy Hakkaweek!

At SUSE LabsConf 2015 we decided to run some sort of automated tests on the SLE and openSUSE kernels after each push to kerncvs.suse.de In order to make this work the kernel has to be build, a initrd and a rootfs image has to be generated for use with qemu, it has to be booted and tests have to be run.

Lay out a mock version of an existing SUSE R&D process in JIRA. The process should have a reasonable amount of complexity, like

Why is it nice?

A local LVD(Live&VOD audio/video) system, 1. provide VOD to local users(B/S)

As you know, SUSE acquired Openattic last year, which is a great storage management system. I want to learn and use openattic during this hack week.

terraform-provider-libvirt supports CoreOS ignition file/content, which end rendered as kernel command line options (the provider does some nice stuff like allowing you to pass the json content and it will take care of putting it into a temporary file). The idea is to:

Learn opencv and Face recognition related knowledge to build Face recognition project on raspberry 4b

Project Description

Building on the lessons learned in the previous HackWeek, attack the Server specifically to create a set of containers deployable on k3s via Helm.

Initially, the Agama D-Bus service was written 100% in Ruby. For many things, it relies on YaST, so it makes sense to use the same language. It was great to have something working quickly, but it also had some drawbacks. The main problem is that, as YaST is not thread-safe, we separated the service into different processes (storage, software, localization, etc.). The system became most responsive but at the cost of eating a lot of RAM.

Moving to Rust

Ceph offers a highly scalable and fault-tolerant storage system. Samba is already capable of sharing data located on the Ceph Filesystem, however scale-out sharing (the same data exposed by multiple Samba nodes) currently requires the use of CTDB for consistent and coherent state across Samba cluster nodes. In such a setup CTDB provides a clustered database with persistent key-value data storage and locking. Database usage is abstracted out via a generic dbwrap interface. Ceph's librados library provides an API for the storage and retrieval of arbitrary key-value data via the omap functions. A watch/notify protocol is also provided as a mechanism for synchronising client state (locking). Key-value data stored in the RADOS back-end inherits the same redundancy features as regular objects, making it a potentially good candidate as a replacement for CTDB in scale-out Samba clusters.

Is Redmine good enough for manging projects?

The idea is simple. Dice is a light weight build service for KIWI images with full control over the build power by the user. At SUSE we have the buildservice which is the full professional version of a build service for packages, images and also products. As a normal user I can provide input and I get some output but I have no control what happens with my data, when it's being processed and where it's being processed. That's by design and works great, thus not meant negatively. I'm a 100% fan of the buildservice

The openstack-helm project run Openstack in a Kubernetes cluster using helm charts. The goal of the project is to able to run it in OpenSUSE, and if successful as a bonus add a job that runs with OpenSUSE to the gates runs with OpenSUSE to the gates

RISC-V boot deep dive (Boot FLOW from 0 to Linux Kernel)

Make RISC-V boot like rest of industry U-boot for embedded, UEFI for consumer and servers

Background

A dashboard for testing and analysis xfstests results just initial this year. It has a lot of performance issues to fix, and it also needed to add more features to get usable. Also bootstrap looks very easy to use, plan to learn some frontend knowledge for fun.

Implement a Little man computer in the Go programming language. Accepts LMC assembly code, compiles it and executes it.

Everybody is talking about (and with) ChatGPT. I tried it and was impressed by how well the language model behaves and finally how real and humanly it appears, despite the obvious nonsense that it outputs. I was wondering how machine learning practically works and how to build a neural network.

Project Description

I want to make ruby-lint usable. ruby-lint, as described by its author:

I want to create devel project for cryptocurrencies/mining tools/blockchain related stuff, fill it with packages and submit at least some of them to Tumbleweed. Lets go on as Standa took care of creating network:cryptocurrencies

Project Description

Create a console application for a crossword puzzle generator that can be fed with a custom list of word+explanation pairs. It may be used by people to quickly familiarize with a specific topic (e.g. a knowledge area, new hires to the company ...) to at least understand the terminology and the abbreviations that are used. Or to just have some distraction and fun :-) I think it consists of three components:

Customers may face problems with their systems we weren't aware of, if we focus on testing single components. We simply can't copy each and every customer setup, but we want to have test results that are more relevant.

Some people prefer LaTeX for creating documents and presentations. The templates provided by Marketing don't include one for Beamer

Occasionally, new versions of openQA break things. How do you stop that? MORE TESTING! Testing openQA by using openQA to ensure the new versions don't break should be a good example of how openQA can test everything and anything, even itself.

Currently, opensuse-quickstart sets up a one-machine Cloud based on OpenStack, either with KVM or virtualisation. In order for bootstrapping further hosts, it would be much easier to set up only a bare-metal cloud on one machine, and PXE boot a 2nd machine via OpenStack Nova/Ironic.

Project Description

While I run I always like exploring the world, looking for new path to walk. But of course our resources to do that are limited. So I thought that would be nice to recreate legendary places like Tolkien's maps in 3D and be free to walk around

netfilter.org states that "nftables is the project that aims to replace the existing {ip,ip6,arp,eb}tables framework." The nftables kernel code was merged into the mainline kernel in January 2014. So it's time to get started with the <b>new</b> Linux firewall framework on openSUSE. <ul>

While osc is growing and getting more and more complex and hard to maintain, there is an object oriented rewrite of osc which key points are:

During the YCP Killer project, Y2R didn't translate most YCP operators and builtins into equivalent Ruby constructs but into library calls. This was necessary to preserve behavior in various edge-case situations, mostly when nil was passed around. The resulting code is often long and hard to work with. Example from SlideShow.rb:

Using an arduino nano, a rf23b (http://www.hoperf.com/rf/fsk_module/RFM23BP.htm) wireless module (or anything like it) and a solar panel to build a mesh network node that can be used to quickly deploy wireless networks. The connection between the nodes will be serial, a endpoint will have an additional wlan module connected so it will be possible to use the mesh network for normal wlan enabled devices.

Roughly follow a few selective chapters from the book 'Hands-On Machine Learning with Scikit-Learn and TensorFlow'

Project Description

Work on "nvme monitor" proposed command (see Resources).

Build Service needs an openid. Imagine following case:

My car has it, nowadays every smartphone has it. But what's actually the math behind GPS (GLONASS) technique?