Project Description
With the desire for Rancher Manager to scale to managing 1000s of clusters (10,000 i hear you say) we could try and have 1 instance of Rancher Manager doing it all. But could we have a Manager of Managers? How could we support multi-tenancy where each Rancher Manager has different versions etc?
One project that could be interesting to realizing this vision is KCP. It’s taking the ideas of "virtual clusters" (and projects like vcluster) and looking at providing a more lightweight solution where you don't need a full virtual cluster within another cluster whilst still supporting multi-tenancy, hierarchical workspaces, cross workspace operators and various other features.
Goal for this Hackweek
The purpose of this project is to practically research the following:
- Is the KCP project usable (when I originally looked at 1 year ago it was very hard to grok and get working)
- Have KCP managing the workloads for multiple clusters (we can use k3d for this)
- (Stretch goal) Can we get Rancher Manager (or cluster agent) working against KCP
At the end of the week, we should know if KCP is a project that would be helpful to the future of Rancher Manager. And whether it's worth us getting involved with the project.
KCP could also be useful to Fleet, but this will be out of scope for hack week.
Resources
Looking for hackers with the skills:
This project is part of:
Hack Week 22
Activity
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[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:
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to my-vm-05
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Github Repo for Harvester CLI: https://github.com/belgaied2/harvester-cli
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Issue list is here: https://github.com/belgaied2/harvester-cli/issues
Resources
The project is written in Go, and using client-go
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Welcome contributions are:
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What you might learn
Harvester CLI might be interesting to you if you want to learn more about:
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Introducing "Bottles": A Proof of Concept for Multi-Version CRD Management in Kubernetes by aruiz
Description
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Resources
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Project Description
We have often problems (e.g. pods not starting) that are related to PVCs not running, cluster (nodes) not all up or deployments not running or completely running. This all prevents administration activities. Having something that can regular be run to validate the status of the cluster would be helpful, and not as of today do a lot of manual tasks.
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Goal for this Hackweek
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Overview
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deployment check: This check will list all deployments, and display the number of expected replicas and the used replica. If there are unused replicas this will be displayed. The cluster will be reported as having problems.
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./deploy.sh
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, 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:
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- 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 .
- more about Bamboo on Dario's site
- more about R3 on Silvio's site (italian, translation coming)
- more about Totoro on Silvio's site
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:
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- 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
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Description
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Resources
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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
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https://github.com/rancher/terraform-provider-rancher2 https://github.com/rancher/tf-rancher-up