Project Description

Writing container definition files is boring and error-prone: let's use power of a programming language to generate containers!

Project purpose:

  • Experiment about container creation workflow and container management/publishing/versioning
  • Play with a new non-mainstream programming language and show off capabilities/ease of usage. Ideally I plan to use nim, if time permits also experiment with others
  • Follow Test-Driven Development (TDD) practices
  • Have fun

Advantages:

  • all features of a proper language: variables, multiline strings, logic statements, loops, code reuse.
  • static syntax checking, no more typos or duplicate entries
  • generate many docker files from one template [testing, production, ... ]
  • generate sequence [Dockerfile.suse => Dockerfile.python => Dockerfile.yourapp, ...]
  • could generate command line snippets or CI build scripts with the same data
  • optimize container image creation removing redundant layers

Goal for this Hackweek

Preliminary study and make a proof of concept on a github repo with some working examples

Resources

  • https://github.com/jen-soft/pydocker
  • https://github.com/dahernan/godockerize
  • https://www.mankier.com/5/Containerfile

Further ideas

  • secret scan to avoid API key/tokens leaks
  • optional "runtime" checking
  • extend for multi_stage, docker compose
  • import existing Dockerfile
  • sanitize / check for issues ("linting")
  • iterate on generation by extending to YAML format: k8s manifests, github workflows ...

Looking for hackers with the skills:

nim docker podman containers

This project is part of:

Hack Week 22

Activity

  • almost 2 years ago: fgiudici liked this project.
  • almost 2 years ago: xgonzo liked this project.
  • almost 2 years ago: ilausuch liked this project.
  • almost 2 years ago: danishprakash liked this project.
  • almost 2 years ago: dancermak liked this project.
  • almost 2 years ago: amanzini added keyword "containers" to this project.
  • almost 2 years ago: amanzini added keyword "nim" to this project.
  • almost 2 years ago: amanzini added keyword "docker" to this project.
  • almost 2 years ago: amanzini added keyword "podman" to this project.
  • almost 2 years ago: amanzini started this project.
  • almost 2 years ago: amanzini originated this project.

  • Comments

    • dancermak
      almost 2 years ago by dancermak | Reply

      We are currently generating the Dockerfiles for the BCI images via python: https://github.com/SUSE/BCI-dockerfile-generator/tree/main/src/bci_build This is probably not what you are looking for, as it's really just a wrapper around jinja2 templates, but maybe it can help you out a bit.

    • amanzini
      almost 2 years ago by amanzini | Reply

      project is online at https://github.com/ilmanzo/containertools

    • amanzini
      almost 2 years ago by amanzini | Reply

      published v0.1.0 on the NIM package directory: https://nimble.directory/pkg/containertools

    Similar Projects

    Try to render Agama in a TUI browser by ancorgs

    Description

    Agama is a new Linux installer that will be very likely used for SLES 16. It offers a modern and convenient web interface that can be executed both locally and remotely.

    But of course some users will miss the old TUI (ncurses) interface of the YaST installer.

    So I want to experiment whether would it be possible to render a simplified version of the web interface for TUI browsers. That's only doable and maintainable if we keep the current technology stack we use for rendering the full-blown page, simply replacing complicated UI elements with others that are easy to render. That means the browser would need to support Javascript.

    Chawan seems to be almost there regarding support for Javascript, XHR and related technologies. But according to this conversation, the next missing piece would be to support recursive import of module script tags.

    Unfortunately, Chawan is written in Nim and I'm pretty sure a week is not enough time for me to learn Nim, implement the feature at Chawan and then fix whatever is the next obstacle on the Agama side.

    But if someone could take care of the Nim part, I would do the same with the Agama one. So this is basically a call for help to get this project even started.


    Migrate from Docker to Podman by tjyrinki_suse

    Description

    I'd like to continue my former work on containerization of several domains on a single server by changing from Docker containers to Podman containers. That will need an OS upgrade as well as Podman is not available in that old server version.

    Goals

    • Update OS.
    • Migrate from Docker to Podman.
    • Keep everything functional, including the existing "meanwhile done" additional Docker container that is actually being used already.
    • Keep everything at least as secure as currently. One of the reasons of having the containers is to isolate risks related to services open to public Internet.
    • Try to enable the Podman use in production.
    • At minimum, learn about all of these topics.
    • Optionally, improve Ansible side of things as well...

    Resources

    A search engine is one's friend. Migrating from Docker to Podman, and from docker-compose to podman-compose.


    Migrate from Docker to Podman by tjyrinki_suse

    Description

    I'd like to continue my former work on containerization of several domains on a single server by changing from Docker containers to Podman containers. That will need an OS upgrade as well as Podman is not available in that old server version.

    Goals

    • Update OS.
    • Migrate from Docker to Podman.
    • Keep everything functional, including the existing "meanwhile done" additional Docker container that is actually being used already.
    • Keep everything at least as secure as currently. One of the reasons of having the containers is to isolate risks related to services open to public Internet.
    • Try to enable the Podman use in production.
    • At minimum, learn about all of these topics.
    • Optionally, improve Ansible side of things as well...

    Resources

    A search engine is one's friend. Migrating from Docker to Podman, and from docker-compose to podman-compose.


    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


    Results: Infrastructure Achievements

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

    A screenshot of k9s and nvtop showing PyTAG running in Kubernetes with GPU acceleration

    ./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 .

    Cards from the three games

    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


    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


    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.


    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

    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


    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).