Enable the containerized Uyuni server to run on different host OS by j_renner

Description

The Uyuni server is provided as a container, but we still require it to run on Leap Micro? This is not how people expect to use containerized applications, so it would be great if we tested other host OSs and enabled them by providing builds of necessary tools for (e.g. mgradm). Interesting candidates should be:

• openSUSE Leap
• Cent OS 7
• Ubuntu
• ???

Goals

Make it really easy for anyone to run the Uyuni containerized server on whatever OS they want (with support for containers of course).

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Improve Development Environment on Uyuni by mbussolotto

Description

Currently create a dev environment on Uyuni might be complicated. The steps are:

• add the correct repo
• download packages
• configure your IDE (checkstyle, format rules, sonarlint....)
• setup debug environment
• ...

The current doc can be improved: some information are hard to be find out, some others are completely missing.

Dev Container might solve this situation.

Goals

Uyuni development in no time:

• using VSCode:
  • setting.json should contains all settings (for all languages in Uyuni, with all checkstyle rules etc...)
  • dev container should contains all dependencies
  • setup debug environment
• implement a GitHub Workspace solution
• re-write documentation

Lots of pieces are already implemented: we need to connect them in a consistent solution.

Resources

• https://github.com/uyuni-project/uyuni/wiki

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Technical talks at universities by agamez

Description

This project aims to empower the next generation of tech professionals by offering hands-on workshops on containerization and Kubernetes, with a strong focus on open-source technologies. By providing practical experience with these cutting-edge tools and fostering a deep understanding of open-source principles, we aim to bridge the gap between academia and industry.

For now, the scope is limited to Spanish universities, since we already have the contacts and have started some conversations.

Goals

• Technical Skill Development: equip students with the fundamental knowledge and skills to build, deploy, and manage containerized applications using open-source tools like Kubernetes.
• Open-Source Mindset: foster a passion for open-source software, encouraging students to contribute to open-source projects and collaborate with the global developer community.
• Career Readiness: prepare students for industry-relevant roles by exposing them to real-world use cases, best practices, and open-source in companies.

Resources

• Instructors: experienced open-source professionals with deep knowledge of containerization and Kubernetes.
• SUSE Expertise: leverage SUSE's expertise in open-source technologies to provide insights into industry trends and best practices.

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ADS-B receiver with MicroOS by epaolantonio

I would like to put one of my spare Raspberry Pis to good use, and what better way to see what flies above my head at any time?

There are various ready-to-use distros already set-up to provide feeder data to platforms like Flightradar24, ADS-B Exchange, FlightAware etc... The goal here would be to do it using MicroOS as a base and containerized decoding of ADS-B data (via tools like dump1090) and web frontend (tar1090).

Goals

• Create a working receiver using MicroOS as a base, and containers based on Tumbleweed
• Make it easy to install
• Optimize for maximum laziness (i.e. it should take care of itself with minimum intervention)

Resources

• 1x Small Board Computer capable of running MicroOS
• 1x RTL2832U DVB-T dongle
• 1x MicroSD card
• https://github.com/antirez/dump1090
• https://github.com/flightaware/dump1090 (dump1090 fork by FlightAware)
• https://github.com/wiedehopf/tar1090

Project status (2024-11-22)

So I'd say that I'm pretty satisfied with how it turned out. I've packaged readsb (as a replacement for dump1090), tar1090, tar1090-db and mlat-client (not used yet).

Current status:

• Able to set-up a working receiver using combustion+ignition (web app based on Fuel Ignition)
• Able to feed to various feeds using the Beast protocol (Airplanes.live, ADSB.fi, ADSB.lol, ADSBExchange.com, Flyitalyadsb.com, Planespotters.net)
• Able to feed to Flightradar24 (initial-setup available but NOT tested! I've only tested using a key I already had)
• Local web interface (tar1090) to easily visualize the results
• Cockpit pre-configured to ease maintenance

What's missing:

• MLAT (Multilateration) support. I've packaged mlat-client already, but I have to wire it up
• FlightAware support

Give it a go at https://g7.github.io/adsbreceiver/ !

Project links

• https://g7.github.io/adsbreceiver/
• https://github.com/g7/adsbreceiver
• https://build.opensuse.org/project/show/home:epaolantonio:adsbreceiver

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SUSE AI Meets the Game Board by moio

Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!

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Results: Infrastructure Achievements

We successfully built and automated a containerized stack to support our AI experiments. This included:

• a Fully-Automated, One-Command, GPU-accelerated Kubernetes setup: we created an OpenTofu based script, tofu-tag, to deploy SUSE's RKE2 Kubernetes running on CUDA-enabled nodes in AWS, powered by openSUSE with GPU drivers and gpu-operator
• Containerization of the TAG and PyTAG frameworks: TAG (Tabletop AI Games) and PyTAG were patched for seamless deployment in containerized environments. We automated the container image creation process with GitHub Actions. Our forks (PRs upstream upcoming):
  • https://github.com/moio/TabletopGames/tree/hackweek24
  • https://github.com/moio/PyTAG/tree/hackweek24

./deploy.sh and voilà - Kubernetes running PyTAG (k9s, above) with GPU acceleration (nvtop, below)

Results: Game Design Insights

Our project focused on modeling and analyzing two card games of our own design within the TAG framework:

• Game Modeling: We implemented models for Dario's "Bamboo" and Silvio's "Totoro" and "R3" games, enabling AI agents to play thousands of games ...in minutes!
• AI-driven optimization: By analyzing statistical data on moves, strategies, and outcomes, we iteratively tweaked the game mechanics and rules to achieve better balance and player engagement.
• Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .
  • more about Bamboo on Dario's site
  • more about R3 on Silvio's site (italian, translation coming)
  • more about Totoro on Silvio's site

A family picture of our card games in progress. From the top: Bamboo, Totoro, R3

Results: Learning, Collaboration, and Innovation

Beyond technical accomplishments, the project showcased innovative approaches to coding, learning, and teamwork:

• "Trio programming" with AI assistance: Our "trio programming" approach—two developers and GitHub Copilot—was a standout success, especially in handling slightly-repetitive but not-quite-exactly-copypaste tasks. Java as a language tends to be verbose and we found it to be fitting particularly well.
• AI tools for reporting and documentation: We extensively used AI chatbots to streamline writing and reporting. (Including writing this report! ...but this note was added manually during edit!)
• GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
• Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.

Last but not least we had a lot of fun! ...and this was definitely not a chatbot generated line!

The Context: AI + Board Games

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Bootstrap openSUSE on LoongArch by glaubitz

Description

LoongArch is a new architecture from China which has its roots in the MIPS architecture. It has been created by Loongson and is already supported by Debian Ports, Gentoo and Loongnix.

Upstream support for LoongArch is already quite complete which includes LLVM, Rust, Golang, GRUB, QEMU, LibreOffice and many more. In Debian Ports, where the port is called "loong64", more than 95% of the whole Debian archive have been successfully built for LoongArch.

QEMU support is rather complete and stable such that packages can be built in emulated environments. Hardware can also be requested by Loongson on request for free. Access to real hardware is also provided through the GCC Compile Farm.

Goals

The initial goal should be to add LoongArch to OBS and build a minimal set of packages.

Resources

• Introduction to LoongArch: https://docs.kernel.org/arch/loongarch/introduction.html
• LoongArch community on Github: https://github.com/loongarchlinux
• Debian Ports repository for loong64: http://ftp.ports.debian.org/debian-ports/pool-loong64/main/
• Gentoo stage3 for loong: https://www.gentoo.org/downloads/#loong

Results

• An initial set of packages for openSUSE loongarch64 has been successfully bootstrapped
• An OBS project has been set up to build packages for openSUSE loongarch64 with more than 3000 packages being built already
• A work-in-progress guide on how to bootstrap a new openSUSE port from Debian has been created
• A work-in-progress guide on how to add a new target to the openSUSE toolchain has been created

Acknowledgements

• Thanks to Adrian Schröter and Rüdiger Oertl for the help with setting up the FTP space and OBS project
• Thanks to Dirk Müller for the input on how to get started with a new port
• Thanks to Richard Biener for quickly accepting my submit requests to add loongarch64 support to the toolchain

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Explore the integration between OBS and GitHub by pdostal

Project Description

The goals:

1) When GitHub pull request is created or modified the OBS project will be forked and the build results reported back to GitHub. 2) When new version of the GitHub project will be published the OBS will redownload the source and rebuild the project.

Goal for this Hackweek

Do as much as possible, blog about it and maybe use it another existing project.

Resources

• The Blog post
• Issue: poo#123858 - build.opensuse.org: /usr/lib/obs/service//go_modules.service No such file or directory

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obs-service-vendor_node_modules by cdimonaco

Description

When building a javascript package for obs, one option is to use https://github.com/openSUSE/obs-service-node_modules as source service to get the project npm dependencies available for package bulding.

obs-service-vendornodemodules aims to be a source service that vendors npm dependencies, installing them with npm install (optionally only production ones) and then creating a tar package of the installed dependencies.

The tar will be used as source in the package building definitions.

Goals

• Create an obs service package that vendors the npm dependencies as tar archive.
• Maybe add some macros to unpack the vendor package in the specfiles

Resources

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Implement a full OBS api client in Rust by nbelouin

Description

I recently started to work on tooling for OBS using rust, to do so I started a Rust create to interact with OBS API, I only implemented a few routes/resources for what I needed. What about making it a full fledged OBS client library.

Goals

• Implement more routes/resources
• Implement a test suite against the actual OBS implementation
• Bonus: Create an osc like cli in Rust using the library

Resources

• https://github.com/suse-edge/obs-tools/tree/main/obs-client
• https://api.opensuse.org/apidocs/

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Automation of ABI compatibility checks by ateixeira

Description

ABI compatibility checks could be further automated by using the OBS API to download built RPMs and using existing tools to analyze ABI compatibility between the libraries contained in those packages. This project aims to explore these possibilities and figure out a way to make ABI checks as painless and fast as possible for package maintainers.

Resources

https://github.com/openSUSE/abi-compliance-checker

https://github.com/lvc/abi-compliance-checker

https://sourceware.org/libabigail/

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Write a shell extension for GNOME by tdz

Description

I usually do kernel and systems programming. This project is about learning more about the userspace and application side. Writing an extension to gnome-shell seems like a good place to start. The GNOME shell is scriptable via JavaScript and a number of such extension is available from upstream.

On X11, there used to be a toy rsp. screensaver called XPenguins. After the desktop being idle for some time, it sent penguins falling down the screen and walking along window borders. It doesn't work any longer with Wayland-based compositing, but re-implementing it as extension for the GNOME shell might be possible. There already existed a port around a decade ago that could serve as starting point.

Goals

• Learn about how shell extensions work and how to write one
• See if XPenguins can be converted
• If successful, try to upstream the result

Resources

• GNOME Shell Extensions
• XPenguins Homepage
• XPenguins for GNOME shell

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