Description

For now installing Uyuni on Kubernetes requires running mgradm on a cluster node... which is not what users would do in the Kubernetes world. The idea is to implement an installation based only on helm charts and probably an operator.

Goals

Install Uyuni from Rancher UI.

Resources

Looking for hackers with the skills:

uyuni kubernetes golang operator

This project is part of:

Hack Week 24

Activity

  • about 1 year ago: ncarmo liked this project.
  • about 1 year ago: j_renner liked this project.
  • about 1 year ago: vizhestkov liked this project.
  • about 1 year ago: jmeza liked this project.
  • about 1 year ago: wombelix liked this project.
  • about 1 year ago: cbosdonnat added keyword "uyuni" to this project.
  • about 1 year ago: cbosdonnat added keyword "kubernetes" to this project.
  • about 1 year ago: cbosdonnat added keyword "golang" to this project.
  • about 1 year ago: cbosdonnat added keyword "operator" to this project.
  • about 1 year ago: ygutierrez liked this project.
  • about 1 year ago: joachimwerner liked this project.
  • about 1 year ago: atgracey liked this project.
  • about 1 year ago: juliogonzalezgil liked this project.
  • about 1 year ago: dgedon liked this project.
  • about 1 year ago: cbosdonnat started this project.
  • about 1 year ago: cbosdonnat originated this project.

  • Comments

    • cbosdonnat
      about 1 year ago by cbosdonnat | Reply

      At the end of the hackweek 24, the result is very encouraging:

      • The server setup can now run in a Job instead of inside the running deployment
      • The server installs correctly and the deployment is ready
      • Salt systems can bootstrap when using LoadBalancer services on k3s.
      • Uninstalling the custom server resource cleans everything out of the box.
      • The only things the user needs is to define the secrets and SSL certificates or the issuers for cert-manager, as well as an uyuni server custom resource.

      The code:

      What's next:

      • Implement migration from an old RPM-based server
      • Implement update / upgrade of the server
      • Play with more network setups
      • Test with more kubernetes distros

    • cbosdonnat
      about 1 year ago by cbosdonnat | Reply

      Marked the project as completed as the initial stage is complete. PRs will eventually be polished and merged

    • cbosdonnat
      about 1 year ago by cbosdonnat | Reply

      Demo YAML file and video are available in https://github.com/cbosdo/uyuni-operator/tree/main/docs

    Similar Projects

    Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil

    Join the Gitter channel! https://gitter.im/uyuni-project/hackweek

    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 (including bootstrapping with bootstrap script) and Salt-ssh clients

    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):

    1. Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
    2. 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)
    3. Package management (install, remove, update...)
    4. Patching
    5. Applying any basic salt state (including a formula)
    6. Salt remote commands
    7. Bonus point: Java part for product identification, and monitoring enablement
    8. Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
    9. Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
    10. 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 :-)

    In progress/done for Hack Week 25

    Guide

    We started writin a Guide: Adding a new client GNU Linux distribution to Uyuni at https://github.com/uyuni-project/uyuni/wiki/Guide:-Adding-a-new-client-GNU-Linux-distribution-to-Uyuni, to make things easier for everyone, specially those not too familiar wht Uyuni or not technical.

    openSUSE Leap 16.0

    The distribution will all love!

    https://en.opensuse.org/openSUSE:Roadmap#DRAFTScheduleforLeap16.0

    Curent Status We started last year, it's complete now for Hack Week 25! :-D

    • [W] Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file) NOTE: Done, client tools for SLMicro6 are using as those for SLE16.0/openSUSE Leap 16.0 are not available yet
    • [W] 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)
    • [W] Package management (install, remove, update...). Works, even reboot requirement detection


    Move Uyuni Test Framework from Selenium to Playwright + AI by oscar-barrios

    Description

    This project aims to migrate the existing Uyuni Test Framework from Selenium to Playwright. The move will improve the stability, speed, and maintainability of our end-to-end tests by leveraging Playwright's modern features. We'll be rewriting the current Selenium code in Ruby to Playwright code in TypeScript, which includes updating the test framework runner, step definitions, and configurations. This is also necessary because we're moving from Cucumber Ruby to CucumberJS.

    If you're still curious about the AI in the title, it was just a way to grab your attention. Thanks for your understanding.

    Nah, let's be honest add-emoji AI helped a lot to vibe code a good part of the Ruby methods of the Test framework, moving them to Typescript, along with the migration from Capybara to Playwright. I've been using "Cline" as plugin for WebStorm IDE, using Gemini API behind it.


    Goals

    • Migrate Core tests including Onboarding of clients
    • Improve test reliabillity: Measure and confirm a significant reduction of flakiness.
    • Implement a robust framework: Establish a well-structured and reusable Playwright test framework using the CucumberJS

    Resources


    Enable more features in mcp-server-uyuni by j_renner

    Description

    I would like to contribute to mcp-server-uyuni, the MCP server for Uyuni / Multi-Linux Manager) exposing additional features as tools. There is lots of relevant features to be found throughout the API, for example:

    • System operations and infos
    • System groups
    • Maintenance windows
    • Ansible
    • Reporting
    • ...

    At the end of the week I managed to enable basic system group operations:

    • List all system groups visible to the user
    • Create new system groups
    • List systems assigned to a group
    • Add and remove systems from groups

    Goals

    • Set up test environment locally with the MCP server and client + a recent MLM server [DONE]
    • Identify features and use cases offering a benefit with limited effort required for enablement [DONE]
    • Create a PR to the repo [DONE]

    Resources


    Uyuni read-only replica by cbosdonnat

    Description

    For now, there is no possible HA setup for Uyuni. The idea is to explore setting up a read-only shadow instance of an Uyuni and make it as useful as possible.

    Possible things to look at:

    • live sync of the database, probably using the WAL. Some of the tables may have to be skipped or some features disabled on the RO instance (taskomatic, PXT sessions…)
    • Can we use a load balancer that routes read-only queries to either instance and the other to the RW one? For example, packages or PXE data can be served by both, the API GET requests too. The rest would be RW.

    Goals

    • Prepare a document explaining how to do it.
    • PR with the needed code changes to support it


    Enhance setup wizard for Uyuni by PSuarezHernandez

    Description

    This project wants to enhance the intial setup on Uyuni after its installation, so it's easier for a user to start using with it.

    Uyuni currently uses "uyuni-tools" (mgradm) as the installation entrypoint, to trigger the installation of Uyuni in the given host, but does not really perform an initial setup, for instance:

    • user creation
    • adding products / channels
    • generating bootstrap repos
    • create activation keys
    • ...

    Goals

    • Provide initial setup wizard as part of mgradm uyuni installation

    Resources


    The Agentic Rancher Experiment: Do Androids Dream of Electric Cattle? by moio

    Rancher is a beast of a codebase. Let's investigate if the new 2025 generation of GitHub Autonomous Coding Agents and Copilot Workspaces can actually tame it. A GitHub robot mascot trying to lasso a blue bull with a Kubernetes logo tatooed on it


    The Plan

    Create a sandbox GitHub Organization, clone in key Rancher repositories, and let the AI loose to see if it can handle real-world enterprise OSS maintenance - or if it just hallucinates new breeds of Kubernetes resources!

    Specifically, throw "Agentic Coders" some typical tasks in a complex, long-lived open-source project, such as:


    The Grunt Work: generate missing GoDocs, unit tests, and refactorings. Rebase PRs.

    The Complex Stuff: fix actual (historical) bugs and feature requests to see if they can traverse the complexity without (too much) human hand-holding.

    Hunting Down Gaps: find areas lacking in docs, areas of improvement in code, dependency bumps, and so on.


    If time allows, also experiment with Model Context Protocol (MCP) to give agents context on our specific build pipelines and CI/CD logs.

    Why?

    We know AI can write "Hello World." and also moderately complex programs from a green field. But can it rebase a 3-month-old PR with conflicts in rancher/rancher? I want to find the breaking point of current AI agents to determine if and how they can help us to reduce our technical debt, work faster and better. At the same time, find out about pitfalls and shortcomings.

    The CONCLUSION!!!

    A add-emoji State of the Union add-emoji document was compiled to summarize lessons learned this week. For more gory details, just read on the diary below! add-emoji


    Self-Scaling LLM Infrastructure Powered by Rancher by ademicev0

    Self-Scaling LLM Infrastructure Powered by Rancher

    logo


    Description

    The Problem

    Running LLMs can get expensive and complex pretty quickly.

    Today there are typically two choices:

    1. Use cloud APIs like OpenAI or Anthropic. Easy to start with, but costs add up at scale.
    2. Self-host everything - set up Kubernetes, figure out GPU scheduling, handle scaling, manage model serving... it's a lot of work.

    What if there was a middle ground?

    What if infrastructure scaled itself instead of making you scale it?

    Can we use existing Rancher capabilities like CAPI, autoscaling, and GitOps to make this simpler instead of building everything from scratch?

    Project Repository: github.com/alexander-demicev/llmserverless


    What This Project Does

    A key feature is hybrid deployment: requests can be routed based on complexity or privacy needs. Simple or low-sensitivity queries can use public APIs (like OpenAI), while complex or private requests are handled in-house on local infrastructure. This flexibility allows balancing cost, privacy, and performance - using cloud for routine tasks and on-premises resources for sensitive or demanding workloads.

    A complete, self-scaling LLM infrastructure that:

    • Scales to zero when idle (no idle costs)
    • Scales up automatically when requests come in
    • Adds more nodes when needed, removes them when demand drops
    • Runs on any infrastructure - laptop, bare metal, or cloud

    Think of it as "serverless for LLMs" - focus on building, the infrastructure handles itself.

    How It Works

    A combination of open source tools working together:

    Flow:

    • Users interact with OpenWebUI (chat interface)
    • Requests go to LiteLLM Gateway
    • LiteLLM routes requests to:
      • Ollama (Knative) for local model inference (auto-scales pods)
      • Or cloud APIs for fallback


    Preparing KubeVirtBMC for project transfer to the KubeVirt organization by zchang

    Description

    KubeVirtBMC is preparing to transfer the project to the KubeVirt organization. One requirement is to enhance the modeling design's security. The current v1alpha1 API (the VirtualMachineBMC CRD) was designed during the proof-of-concept stage. It's immature and inherently insecure due to its cross-namespace object references, exposing security concerns from an RBAC perspective.

    The other long-awaited feature is the ability to mount virtual media so that virtual machines can boot from remote ISO images.

    Goals

    1. Deliver the v1beta1 API and its corresponding controller implementation
    2. Enable the Redfish virtual media mount function for KubeVirt virtual machines

    Resources


    A CLI for Harvester by mohamed.belgaied

    Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI. Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly. 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.

    asciicast

    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
    • Kubevirt API objects (Manipulating VMs and VM Configuration in Kubernetes using Kubevirt)


    OpenPlatform Self-Service Portal by tmuntan1

    Description

    In SUSE IT, we developed an internal developer platform for our engineers using SUSE technologies such as RKE2, SUSE Virtualization, and Rancher. While it works well for our existing users, the onboarding process could be better.

    To improve our customer experience, I would like to build a self-service portal to make it easy for people to accomplish common actions. To get started, I would have the portal create Jira SD tickets for our customers to have better information in our tickets, but eventually I want to add automation to reduce our workload.

    Goals

    • Build a frontend website (Angular) that helps customers create Jira SD tickets.
    • Build a backend (Rust with Axum) for the backend, which would do all the hard work for the frontend.

    Resources (SUSE VPN only)

    • development site: https://ui-dev.openplatform.suse.com/login?returnUrl=%2Fopenplatform%2Fforms
    • https://gitlab.suse.de/itpe/core/open-platform/op-portal/backend
    • https://gitlab.suse.de/itpe/core/open-platform/op-portal/frontend


    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


    Rewrite Distrobox in go (POC) by fabriziosestito

    Description

    Rewriting Distrobox in Go.

    Main benefits:

    • Easier to maintain and to test
    • Adapter pattern for different container backends (LXC, systemd-nspawn, etc.)

    Goals

    • Build a minimal starting point with core commands
    • Keep the CLI interface compatible: existing users shouldn't notice any difference
    • Use a clean Go architecture with adapters for different container backends
    • Keep dependencies minimal and binary size small
    • Benchmark against the original shell script

    Resources

    • Upstream project: https://github.com/89luca89/distrobox/
    • Distrobox site: https://distrobox.it/
    • ArchWiki: https://wiki.archlinux.org/title/Distrobox


    Q2Boot - A handy QEMU VM launcher by amanzini

    Description

    Q2Boot (Qemu Quick Boot) is a command-line tool that wraps QEMU to provide a streamlined experience for launching virtual machines. It automatically configures common settings like KVM acceleration, virtio drivers, and networking while allowing customization through both configuration files and command-line options.

    The project originally was a personal utility in D, now recently rewritten in idiomatic Go. It lives at repository https://github.com/ilmanzo/q2boot

    Goals

    Improve the project, testing with different scenarios , address issues and propose new features. It will benefit of some basic integration testing by providing small sample disk images.

    Updates

    • Dec 1, 2025 : refactor command line options, added structured logging. Released v0.0.2
    • Dec 2, 2025 : added external monitor via telnet option
    • Dec 4, 2025 : released v0.0.3 with architecture auto-detection
    • Dec 5, 2025 : filing new issues and general polishment. Designing E2E testing

    Resources


    Updatecli Autodiscovery supporting WASM plugins by olblak

    Description

    Updatecli is a Golang Update policy engine that allow to write Update policies in YAML manifest. Updatecli already has a plugin ecosystem for common update strategies such as automating Dockerfile or Kubernetes manifest from Git repositories.

    This is what we call autodiscovery where Updatecli generate manifest and apply them dynamically based on some context.

    Obviously, the Updatecli project doesn't accept plugins specific to an organization.

    I saw project using different languages such as python, C#, or JS to generate those manifest.

    It would be great to be able to share and reuse those specific plugins

    During the HackWeek, I'll hang on the Updatecli matrix channel

    https://matrix.to/#/#Updatecli_community:gitter.im

    Goals

    Implement autodiscovery plugins using WASM. I am planning to experiment with https://github.com/extism/extism

    To build a simple WASM autodiscovery plugin and run it from Updatecli

    Resources

    • https://github.com/extism/extism
    • https://github.com/updatecli/updatecli
    • https://www.updatecli.io/docs/core/autodiscovery/
    • https://matrix.to/#/#Updatecli_community:gitter.im


    Create a Cloud-Native policy engine with notifying capabilities to optimize resource usage by gbazzotti

    Description

    The goal of this project is to begin the initial phase of development of an all-in-one Cloud-Native Policy Engine that notifies resource owners when their resources infringe predetermined policies. This was inspired by a current issue in the CES-SRE Team where other solutions seemed to not exactly correspond to the needs of the specific workloads running on the Public Cloud Team space.

    The initial architecture can be checked out on the Repository listed under Resources.

    Among the features that will differ this project from other monitoring/notification systems:

    • Pre-defined sensible policies written at the software-level, avoiding a learning curve by requiring users to write their own policies
    • All-in-one functionality: logging, mailing and all other actions are not required to install any additional plugins/packages
    • Easy account management, being able to parse all required configuration by a single JSON file
    • Eliminate integrations by not requiring metrics to go through a data-agreggator

    Goals

    • Create a minimal working prototype following the workflow specified on the documentation
    • Provide instructions on installation/usage
    • Work on email notifying capabilities

    Resources