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

Project Skyscraper’s design RFC: https://github.com/suse-skyscraper/rfc/pull/2
Project Skyscraper’s server: https://github.com/suse-skyscraper/skyscraper
Project Skyscraper’s helm charts: https://github.com/suse-skyscraper/skyscraper-helm-charts

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.

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

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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!!!

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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

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Self-Scaling LLM Infrastructure Powered by Rancher

Description

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Today there are typically two choices:

Use cloud APIs like OpenAI or Anthropic. Easy to start with, but costs add up at scale.
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What if infrastructure scaled itself instead of making you scale it?

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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
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Cluster API Provider for Harvester by rcase

Project Description

The Cluster API "infrastructure provider" for Harvester, also named CAPHV, makes it possible to use Harvester with Cluster API. This enables people and organisations to create Kubernetes clusters running on VMs created by Harvester using a declarative spec.

The project has been bootstrapped in HackWeek 23, and its code is available here.

Work done in HackWeek 2023

Have a early working version of the provider available on Rancher Sandbox : *DONE *
Demonstrated the created cluster can be imported using Rancher Turtles: DONE
Stretch goal - demonstrate using the new provider with CAPRKE2: DONE and the templates are available on the repo

DONE in HackWeek 24:

Add more Unit Tests
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Add cloud provider config generation
Testing with Harvester v1.3.2
Template improvements
Issues creation

DONE in 2025 (out of Hackweek)

Support of ClusterClass
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Testing on newer versions of Harvester v1.4.X and v1.5.X
Support for clusterctl generate cluster ...
Improve Status Conditions to reflect current state of Infrastructure
Improve CI (some bugs for release creation)

Goals for HackWeek 2025

FIRST and FOREMOST, any topic is important to you
Add e2e testing
Certify the provider for Rancher Turtles
Add Machine pool labeling
Add PCI-e passthrough capabilities.
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Thanks to @isim and Dominic Giebert for their contributions!

Resources

Looking for help from anyone interested in Cluster API (CAPI) or who wants to learn more about Harvester.

This will be an infrastructure provider for Cluster API. Some background reading for the CAPI aspect:

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.

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

Done in previous Hackweeks

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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)

golang

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https://github.com/updatecli/updatecli
https://www.updatecli.io/docs/core/autodiscovery/
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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).

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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.

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Description

Goals

Build a frontend website (Angular) that helps customers create Jira SD tickets.
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