Project Description

Iguana is an attempt to have 100% stable initramfs which functionality is enhanced by containers.

Iguana consists of different parts, iguana-workflow being one part of it.

Iguana-workflow is a rust project tasked by parsing special iguana workflow file and start containers based on it.

Goal for this Hackweek

With initramfs one of the goals is to have it as small as possible. Introducing container runtime to the Iguana made initrd big (about 110MB currently). Iguana completely bundles podman and podman takes about 40MB in the initrd.

Goal of this project is to refactor iguana-workflow to support different container frontends with goal to lower its overall size.

For example replacing podman with runc + skopeo should save 10MB in size.

Resources

Looking for hackers with the skills:

rust containers iguana

This project is part of:

Hack Week 22

Activity

  • almost 2 years ago: oholecek started this project.
  • almost 2 years ago: oholecek added keyword "iguana" to this project.
  • almost 2 years ago: oholecek added keyword "rust" to this project.
  • almost 2 years ago: oholecek added keyword "containers" to this project.
  • almost 2 years ago: oholecek originated this project.

  • Comments

    • oholecek
      almost 2 years ago by oholecek | Reply

      PR with WIP code https://github.com/openSUSE/iguana/pull/20

    Similar Projects

    Better diff'ing experience by MSirringhaus

    Description

    For diff-ing directories, I usually like to use meld, but it struggles a lot with large trees. Experiment with writing a TUI meld-clone for diffing directories and files

    Goals

    Get first prototype going of a TUI that can show

    • diffs of text-files
    • diffs of directories.

    Stretch goals

    • Themes
    • Filters (no whitespace, etc.)
    • Live config changes (Show/hide line numbers, etc.)


    Kanidm: A safe and modern IDM system by firstyear

    Kanidm is an IDM system written in Rust for modern systems authentication. The github repo has a detailed "getting started" on the readme.

    Kanidm Github

    In addition Kanidm has spawn a number of adjacent projects in the Rust ecosystem such as LDAP, Kerberos, Webauthn, and cryptography libraries.

    In this hack week, we'll be working on Quokca, a certificate authority that supports PKCS11/TPM storage of keys, issuance of PIV certificates, and ACME without the feature gatekeeping implemented by other CA's like smallstep.

    For anyone who wants to participate in Kanidm, we have documentation and developer guides which can help.

    I'm happy to help and share more, so please get in touch!


    Implement a CLI tool for Trento - trentoctl by nkopliku

    Description

    Implement a trentoctl CLI for interacting with a trento installation

    Goals

    • learn rust
    • implement an initial trentoctl tool to enhance trento automation
    • have fun

    Resources

    trento rust. TUIs listed on this other hackweek project Hack on rich terminal user interfaces


    Grapesss: a physical Shamir's Secret Sharing application [ESP32-C3 + Mobile] by ecandino

    drawing

    Description

    A couple of years ago I created StegoSecretS, a small cli used to encrypt and split a secret into multiple keys, using the Shamir's Secret Sharing algorithm.

    The idea is to re-implement the project using physical devices. One device alone will be useless, but when close together they can be used to decrypt the secret.

    On a practical side the user encrypts the secret with a mobile application. The same application is used to split the secret, and load the partial keys into different micro-controllers. Another user will be able to decrypt the secret only having at least N devices close together (using the application).

    I'm planning to use a couple of ESP32-C3 I bought, and build a very simple Android mobile application.

    Goals

    • Learn about Rust and micro-controllers (ESP32-C3)
    • Learn about mobile applications (Android and Kotlin)

    Resources


    Write an url shortener in Rust (And learn in the way) by szarate

    So I have 469.icu :), it's currently doing nothing... (and for sale) but in the meantime, I'd like to write an url shortener from scratch and deploy it on my own server

    https://github.com/foursixnine/url-manager-rs/tree/main


    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


    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).


    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.


    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!
    A chameleon playing chess in a train car, as a metaphor of SUSE AI applied to games


    AI + Board Games

    Board games have long been fertile ground for AI innovation, pushing the boundaries of capabilities such as strategy, adaptability, and real-time decision-making - from Deep Blue's chess mastery to AlphaZero’s domination of Go. Games aren’t just fun: they’re complex, dynamic problems that often mirror real-world challenges, making them interesting from an engineering perspective.

    As avid board gamers, aspiring board game designers, and engineers with careers in open source infrastructure, we’re excited to dive into the latest AI techniques first-hand.

    Our goal is to develop an all-open-source, all-green AWS-based stack powered by some serious hardware to drive our board game experiments forward!


    Project Goals

    1. Set Up the Stack:

      • Install and configure the TAG and PyTAG frameworks on SUSE Linux Enterprise Base Container Images.
      • Integrate with the SUSE AI stack for GPU-accelerated training on AWS.
      • Validate a sample GPU-accelerated PyTAG workload on SUSE AI.
      • Ensure the setup is entirely repeatable with Terraform and configuration scripts, documenting results along the way.
    2. Design and Implement AI Agents:

      • Develop AI agents for the two board games, incorporating Statistical Forward Planning and Deep Reinforcement Learning techniques.
      • Fine-tune model parameters to optimize game-playing performance.
      • Document the advantages and limitations of each technique.
    3. Test, Analyze, and Refine:

      • Conduct AI vs. AI and AI vs. human matches to evaluate agent strategies and performance.
      • Record insights, document learning outcomes, and refine models based on real-world gameplay.

    Technical Stack

    • Frameworks: TAG and PyTAG for AI agent development
    • Platform: SUSE AI
    • Tools: AWS for high-performance GPU acceleration

    Why This Project Matters

    This project not only deepens our understanding of AI techniques by doing but also showcases the power and flexibility of SUSE’s open-source infrastructure for supporting high-level AI projects. By building on an all-open-source stack, we aim to create a pathway for other developers and AI enthusiasts to explore, experiment, and deploy their own innovative projects within the open-source space.


    Our Motivation

    We believe hands-on experimentation is the best teacher.

    Combining our engineering backgrounds with our passion for board games, we’ll explore AI in a way that’s both challenging and creatively rewarding. Our ultimate goal? To hack an AI agent that’s as strategic and adaptable as a real human opponent (if not better!) — and to leverage it to design even better games... for humans to play!


    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? add-emoji

    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