Project Description

We would like to create a single interface for teams to manage our cloud governance.

We currently provide landing zones for AWS, GCP, and Azure, but in providing them, we’re becoming a central bottleneck, as most changes need to go through us. For our cloud usage to grow, we need to improve our processes, and delegate some responsibility when needed, especially in tasks where we’re not the subject-matter experts. We hope to empower everyone, including non-technical employees, to claim ownership over the processes that matter to them, and strengthen our current offerings.

Goal for this Hack Week

One of the major areas for improvement is the processes around tag maintenance. We use tags to manage account ownership, contact information, billing, alerting, and more. Because they’re a central part in our environments, we need to treat them as first-class citizens and ensure they’re always up-to-date. Our current setup setup isn't sufficient: we manage them in four separate repositories (change risk) and cannot easily allow non-technical employees to make changes.

This project was born out of our centralization efforts, a hope that we could manage our tags with care, and the desire to make a solid foundation for our governance to grow.

There is much we would like to accomplish, but here are the scoped tasks for Hack Week 21:

  • To collect cloud tags for cloud providers (starting with AWS).
  • To allow users to edit tags.
  • To detect tag drift (notifications when the tags aren’t what they should be).
  • To have Okta manage users/groups with SCIM.

In last year’s Hack Week, we experimented with a similar concept, but it covered cloud costs. This year, we took the lessons learned, and used parts of it to start our new project. You can view last year’s efforts at our GitHub project.

Resources

Looking for hackers with the skills:

kubernetes golang angular aws azure gcp

This project is part of:

Hack Week 21

Activity

  • over 3 years ago: tmuntan1 joined this project.
  • over 3 years ago: RicardoFelipeKlein started this project.
  • over 3 years ago: RicardoFelipeKlein liked this project.
  • over 3 years ago: tmuntan1 added keyword "kubernetes" to this project.
  • over 3 years ago: tmuntan1 added keyword "golang" to this project.
  • over 3 years ago: tmuntan1 added keyword "angular" to this project.
  • over 3 years ago: tmuntan1 added keyword "aws" to this project.
  • over 3 years ago: tmuntan1 added keyword "azure" to this project.
  • over 3 years ago: tmuntan1 added keyword "gcp" to this project.
  • over 3 years ago: tmuntan1 originated this project.

  • Comments

    Be the first to comment!

    Similar Projects

    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


    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


    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


    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.


    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


    terraform-provider-feilong by e_bischoff

    Project Description

    People need to test operating systems and applications on s390 platform. While this is straightforward with KVM, this is very difficult with z/VM.

    IBM Cloud Infrastructure Center (ICIC) harnesses the Feilong API, but you can use Feilong without installing ICIC(see 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 z/VM system.

    Goal for Hackweek 23

    I would like 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!

    Let's add support for fiberchannel disks and multipath.

    Goals for Hackweek 25

    Modernization, maturity, and maintenance: support for SLES 16 and openTofu, new API calls, fixes...

    Resources

    Outcome


    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


    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


    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


    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


    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


    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


    Provide personal account sign-in for Himmelblau (Azure Entra Id) by dmulder

    Description

    Himmelblau currently does not support personal account sign-in, but only sign-in for business/school accounts. Adding personal account sign-in would broaden the userbase, and potentially attract more users to Linux from Windows (since they could easily migrate their existing Windows account, etc).

    Goals

    Implement personal account sign-in for libhimmelblau.

    Resources

    gitlab.com/samba-team/libhimmelblau