Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!

Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.

For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.

No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)

The idea is testing Salt and Salt-ssh clients, but NOT traditional clients, which are deprecated.

To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):

Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
Package management (install, remove, update...)
Patching
Applying any basic salt state (including a formula)
Salt remote commands
Bonus point: Java part for product identification, and monitoring enablement
Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)

If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)

If you don't have knowledge about some of the steps: ask the team
If you still don't know what to do: switch to another distribution and keep testing.

This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)

Pending

FUSS

FUSS is a complete GNU/Linux solution (server, client and desktop/standalone) based on Debian for managing an educational network.

https://fuss.bz.it/

Seems to be a Debian 12 derivative, so adding it could be quite easy.

[ ] Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
[ ] Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
[ ] Package management (install, remove, update...)
[ ] Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already)
[ ] Applying any basic salt state (including a formula)
[ ] Salt remote commands
[ ] Bonus point: Java part for product identification, and monitoring enablement

terraform-provider-feilong by e_bischoff

Project Description

People need to test operating systems and applications on s390 platform.

Installation from scratch solutions include:

just deploy and provision manually (with the help of ftpboot script, if you are at SUSE)
use s3270 terminal emulation (used by openQA people?)
use LXC from IBM to start CP commands and analyze the results
use zPXE to do some PXE-alike booting (used by the orthos team?)
use tessia to install from scratch using autoyast
use libvirt for s390 to do some nested virtualization on some already deployed z/VM system
directly install a Linux kernel on a LPAR and use kvm + libvirt from there

Deployment from image solutions include:

use ICIC web interface (openstack in disguise, contributed by IBM)
use ICIC from the openstack terraform provider (used by Rancher QA)
use zvm_ansible to control SMAPI
connect directly to SMAPI low-level socket interface

IBM Cloud Infrastructure Center (ICIC) harnesses the Feilong API, but you can use Feilong without installing ICIC, provided you set up a "z/VM cloud connector" into one of your VMs following this schema.

What about writing a terraform Feilong provider, just like we have the terraform libvirt provider? That would allow to transparently call Feilong from your main.tf files to deploy and destroy resources on your system/z.

Goal for Hackweek 23

My final goal is to be able to easily deploy and provision VMs automatically on a z/VM system, in a way that people might enjoy even outside of SUSE.

My technical preference is to write a terraform provider plugin, as it is the approach that involves the least software components for our deployments, while remaining clean, and compatible with our existing development infrastructure.

Goals for Hackweek 24

Feilong provider works and is used internally by SUSE Manager team. Let's push it forward!

Fix problems with registration on hashicorp providers registry
Add support for fiberchannel disks
Finish the U part of CRUD
Move from private repos to Open Mainframe project
Anything else as needed

Contribute to terraform-provider-libvirt by pinvernizzi

Description

The SUSE Manager (SUMA) teams' main tool for infrastructure automation, Sumaform, largely relies on terraform-provider-libvirt. That provider is also widely used by other teams, both inside and outside SUSE.

It would be good to help the maintainers of this project and give back to the community around it, after all the amazing work that has been already done.

If you're interested in any of infrastructure automation, Terraform, virtualization, tooling development, Go (...) it is also a good chance to learn a bit about them all by putting your hands on an interesting, real-use-case and complex project.

Goals

Get more familiar with Terraform provider development and libvirt bindings in Go
Solve some issues and/or implement some features
Get in touch with the community around the project

Resources

Rancher/k8s Trouble-Maker by tonyhansen

Project Description

When studying for my RHCSA, I found trouble-maker, which is a program that breaks a Linux OS and requires you to fix it. I want to create something similar for Rancher/k8s that can allow for troubleshooting an unknown environment.

Goal for this Hackweek

Create a basic framework for creating Rancher/k8s cluster lab environments as needed for the Break/Fix Create at least 5 modules that can be applied to the cluster and require troubleshooting

Resources

https://github.com/rancher/terraform-provider-rancher2 https://github.com/rancher/tf-rancher-up

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!

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

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.
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.
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!

go

Contribute to terraform-provider-libvirt by pinvernizzi

Description

It would be good to help the maintainers of this project and give back to the community around it, after all the amazing work that has been already done.

Goals

Get more familiar with Terraform provider development and libvirt bindings in Go
Solve some issues and/or implement some features
Get in touch with the community around the project

Resources

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

ddflare: (Dyn)DNS management via Cloudflare API in Kubernetes by fgiudici

Description

ddflare is a project started a couple of weeks ago to provide DynDNS management using v4 Cloudflare APIs: Cloudflare offers management via APIs and access tokens, so it is possible to register a domain and implement a DynDNS client without any other external service but their API.

Since ddflare allows to set any IP to any domain name, one could manage multiple A and ALIAS domain records. Wouldn't be cool to allow full DNS control from the project and integrate it with your Kubernetes cluster?

Goals

Main goals are:

add containerized image for ddflare
extend ddflare to be able to add and remove DNS records (and not just update existing ones)
add documentation, covering also a sample pod deployment for Kubernetes
write a ddflare Kubernetes operator to enable domain management via Kubernetes resources (using kubebuilder)

Available tasks and improvements tracked on ddflare github.

Resources

https://github.com/fgiudici/ddflare
https://developers.cloudflare.com/api/
https://book.kubebuilder.io

WebUI for your data by avicenzi

A single place to view every bit of data you have.

Problem

You have too much data and you are a data hoarder.

Family photos and videos.
Lots of eBooks, TV Shows, Movies, and else.
Boxes full of papers (taxes, invoices, IDs, certificates, exams, and else).
Bank account statements (multiple currencies, countries, and people).

Maybe you have some data on S3, some on your NAS, and some on your local PC.

How do you get it all together?
How do you link a bank transaction to a product invoice?
How to tag any object type and create a collection out of it (mix videos, photos, PDFs, transactions)?
How to store this? file/folder structure does not work, everything is linked together

Project Description

The idea is a place where you can throw all your data, photos, videos, documents, binaries, and else.

Create photo albums, document collections, add tags across multiple file-formats, link content, and else.

The UI should be easy to use, where the data is not important for now (could be all S3 or local drive).

Similar proposals

The closest I found so far is https://perkeep.org/, but this is not what I'm looking for.

Goal for this Hackweek

Create a web UI, in Svelte ideally, perhaps React.

It should be able to show photos and videos at least.

Resources

None so far, this is just an idea.

A CLI for Harvester by mohamed.belgaied

[comment]: # Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI [comment]: # Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly. [comment]: # Inspired by tools like multipass from Canonical to easily and rapidly create one of multiple VMs, I began the development of Harvester CLI. Currently, it works but Harvester CLI needs some love to be up-to-date with Harvester v1.0.2 and needs some bug fixes and improvements as well.

Project Description

Harvester CLI is a command line interface tool written in Go, designed to simplify interfacing with a Harvester cluster as a user. It is especially useful for testing purposes as you can easily and rapidly create VMs in Harvester by providing a simple command such as: harvester vm create my-vm --count 5 to create 5 VMs named my-vm-01 to my-vm-05.

Harvester CLI is functional but needs a number of improvements: up-to-date functionality with Harvester v1.0.2 (some minor issues right now), modifying the default behaviour to create an opensuse VM instead of an ubuntu VM, solve some bugs, etc.

Github Repo for Harvester CLI: https://github.com/belgaied2/harvester-cli

Done in previous Hackweeks

Create a Github actions pipeline to automatically integrate Harvester CLI to Homebrew repositories: DONE
Automatically package Harvester CLI for OpenSUSE / Redhat RPMs or DEBs: DONE

Goal for this Hackweek

The goal for this Hackweek is to bring Harvester CLI up-to-speed with latest Harvester versions (v1.3.X and v1.4.X), and improve the code quality as well as implement some simple features and bug fixes.

Some nice additions might be: * Improve handling of namespaced objects * Add features, such as network management or Load Balancer creation ? * Add more unit tests and, why not, e2e tests * Improve CI * Improve the overall code quality * Test the program and create issues for it

Issue list is here: https://github.com/belgaied2/harvester-cli/issues

Resources

The project is written in Go, and using client-go the Kubernetes Go Client libraries to communicate with the Harvester API (which is Kubernetes in fact). Welcome contributions are:

Testing it and creating issues
Documentation
Go code improvement

What you might learn

Harvester CLI might be interesting to you if you want to learn more about:

GitHub Actions
Harvester as a SUSE Product
Go programming language
Kubernetes API

golang

suse-rancher-supportconfig by eminguez

Description

SUSE's supportconfig support tool collects data from the SUSE Operating system. Rancher's rancher2_logs_collector.sh support tool does the same for RKE2/K3s.

Wouldn't be nice to have a way to run both and collect all data for SUSE based RKE2/K3s clusters? Wouldn't be even better with a fancy TUI tool like bubbletea?

Ideally the output should be an html page where you can see the logs/data directly from the browser.

Goals

Familiarize myself with both supportconfig and rancher2_logs_collector.sh tools
Refresh my golang knowledge
Have something that works at the end of the hackweek ("works" may vary )
Be better in naming things

Resources

All links provided above as well as huh

Learn enough Golang and hack on CoreDNS by jkuzilek

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.

To remedy this issue, a simple filtering mechanism has to be implemented.

Goals

Learn an acceptable amount of Golang
Implement GatewayClass (and IngressClass) filtering for k8s_gateway
Deploy on homelab cluster
Profit?

Resources

EDIT: Feature mostly complete. An unfinished PR lies here. Successfully tested working on homelab cluster.

file-organizer: A CLI Tool for Efficient File Management by okhatavkar

Description

Create a Go-based CLI tool that helps organize files in a specified folder by sorting them into subdirectories based on defined criteria, such as file type or creation date. Users will pass a folder path as an argument, and the tool will process and organize the files within it.

Goals

Develop Go skills by building a practical command-line application.
Learn to manage and manipulate files and directories in Go using standard libraries.
Create a tool that simplifies file management, making it easier to organize and maintain directories.

Resources

Go Standard Libraries: Utilize os, filepath, and time for file operations.
CLI Development: Use flag for basic argument parsing or consider cobra for enhanced functionality.
Go Learning Material: Go by Example and The Go Programming Language Documentation.

Features

File Type Sorting: Automatically move files into subdirectories based on their extensions (e.g., documents, images, videos).
Date-Based Organization: Add an option to organize files by creation date into year/month folders.
User-Friendly CLI: Build intuitive commands and clear outputs for ease of use. This version maintains the core idea of organizing files efficiently while focusing on Go development and practical file management.

OpenQA Golang api client by hilchev

Description

I would like to make a simple cli tool to communicate with the OpenQA API

Goals

OpenQA has a ton of information that is hard to get via the UI. A tool like this would make my life easier :)
Would potentially make it easier in the future to make UI changes without Perl.
Improve my Golang skills

Resources

https://go.dev/doc/
https://openqa.opensuse.org/api

Dartboard TUI by IValentin

Description

Our scalability and performance testing swiss-army knife tool Dartboard is a major WIP so why not add more scope creep? Dartboard is a cli tool which enables users to:

Define a "Dart" config file as YAML which defines the various components to be created/setup when Dartboard runs its commands
Spin up infrastructure utilizing opentofu/terraform providers
Setup K3s or RKE2 clusters on the newly created infrastructure
Deploy Rancher (with or without downstream cluster), rancher-monitoring (Grafana + Prometheus)
Create resources in-bulk within the newly created Rancher cluster (ConfigMaps, Secrets, Users, Roles, etc.)
Run various performance and scalability tests via k6
Export/Import various tracked metrics (WIP)

Given all these features (and the features to come), it can be difficult to onboard and transfer knowledge of the tool. With a TUI, Dartboard's usage complexity can be greatly reduced!

Goals

Create a TUI for Dartboard's "subcommands"
Gain more familiarity with Dartboard and create a more user-friendly interface to enable others to use it
Stretch Create a TUI workflow for generating a Dart file

Resources

https://github.com/charmbracelet/bubbletea