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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ClusterOps - Easily install and manage your personal kubernetes cluster by andreabenini

Description

ClusterOps is a Kubernetes installer and operator designed to streamline the initial configuration and ongoing maintenance of kubernetes clusters. The focus of this project is primarily on personal or local installations. However, the goal is to expand its use to encompass all installations of Kubernetes for local development purposes.
It simplifies cluster management by automating tasks and providing just one user-friendly YAML-based configuration config.yml.

Overview

• Simplified Configuration: Define your desired cluster state in a simple YAML file, and ClusterOps will handle the rest.
• Automated Setup: Automates initial cluster configuration, including network settings, storage provisioning, special requirements (for example GPUs) and essential components installation.
• Ongoing Maintenance: Performs routine maintenance tasks such as upgrades, security updates, and resource monitoring.
• Extensibility: Easily extend functionality with custom plugins and configurations.
• Self-Healing: Detects and recovers from common cluster issues, ensuring stability, idempotence and reliability. Same operation can be performed multiple times without changing the result.
• Discreet: It works only on what it knows, if you are manually configuring parts of your kubernetes and this configuration does not interfere with it you can happily continue to work on several parts and use this tool only for what is needed.

Features

• distribution and engine independence. Install your favorite kubernetes engine with your package manager, execute one script and you'll have a complete working environment at your disposal.
  
• Basic config approach. One single config.yml file with configuration requirements (add/remove features): human readable, plain and simple. All fancy configs managed automatically (ingress, balancers, services, proxy, ...).
• Local Builtin ContainerHub. The default installation provides a fully configured ContainerHub available locally along with the kubernetes installation. This configuration allows the user to build, upload and deploy custom container images as they were provided from external sources. Internet public sources are still available but local development can be kept in this localhost server. Builtin ClusterOps operator will be fetched from this ContainerHub registry too.
• Kubernetes official dashboard installed as a plugin, others planned too (k9s for example).
• Kubevirt plugin installed and properly configured. Unleash the power of classic virtualization (KVM+QEMU) on top of Kubernetes and manage your entire system from there, libvirtd and virsh libs are required.
• One operator to rule them all. The installation script configures your machine automatically during installation and adds one kubernetes operator to manage your local cluster. From there the operator takes care of the cluster on your behalf.
• Clean installation and removal. Just test it, when you are done just use the same program to uninstall everything without leaving configs (or pods) behind.

Planned features (Wishlist / TODOs)

• Containerized Data Importer (CDI). Persistent storage management add-on for Kubernetes to provide a declarative way of building and importing Virtual Machine Disks on PVCs for

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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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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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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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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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Learn about OSB and contribute to `kustomize` and `k9s` packages to add ARM arch by dpock

Description

There are already k9s and kustomize packages that exist for openSUSE today. These could be used as the source for these binaries in our rancher projects. By using them we would benefit from CVE fixes included in our distribution of the packages not in cluded upstream. However they are not providing arm package builds which are required.

Goals

• [ ] Update the kustomize package in OBS to use the newest version and send change request

Resources

• k9s: https://build.opensuse.org/package/show/openSUSE:Factory/k9s
• kustomize: https://build.opensuse.org/package/show/openSUSE:Factory/kustomize
• Learning Docs: https://confluence.suse.com/display/packaging/Training%2C+Talks+and+Videos

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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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