As you know, SUSE acquired Openattic last year, which is a great storage management system.

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).

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

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.

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.

The idea is simple. Dice is a light weight build service for KIWI images with full control over the build power by the user.

The openstack-helm project run Openstack in a Kubernetes cluster using helm charts.

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.

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.

I want to make ruby-lint usable.

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.

Description

I'm implementing a split-horizon DNS for my home Kubernetes cluster to be able to access my internal (and external) services over the local network through public domains. I managed to make a PoC with the k8s_gateway plugin for CoreDNS. However, I soon found out it responds with IPs for all Gateways assigned to HTTPRoutes, publishing public IPs as well as the internal Loadbalancer ones.

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 :-)

Description

For "show and tell" situations it's helpful to have a portable (set of) images available which contains SUMA Server as well as clients. The intend is to create something that can be used on a standard laptop, setup and updated before adding it to the machine, and easily be 'reset'.