Project Description
The idea of this project is to produce some short videos/screencasts, maximum 5 minutes, where you show some cool feature from some of our projects/products.
The video needs to be concrete, trying to hit just one particular topic, in order to make them easily to consume by a viewer.
The idea is to publish those recordings somewhere, so people can access them.
Goal for this Hackweek
These are some ideas for this hackweek:
- Interacting with Uyuni API using Python
- How to apply an Ansible playbook using Salt
- Debugging a Python process with "py-spy"
- ...
Agenda for Hackweek day-1 (Mon. March 22nd):
- Meet the participants in this HW project: 10:00 CET: https://meet.opensuse.org/HackWeekCreateCoolVideos
- Collect ideas for videos, prepare the scripts, choose software to use, etc.
Resources
More information soon.
Looking for hackers with the skills:
This project is part of:
Hack Week 20
Activity
Comments
-
over 3 years ago by PSuarezHernandez | Reply
Hey!
I've updated the description to add the link to this meeting point, to have some introduction talk during day-1 of HW with participants on this project:
https://meet.opensuse.org/HackWeekCreateCoolVideos
so we can have an introduction from ourselves, share ideas, etc!
This is scheduled for 10:00 CET, if this doesn't work for you, please let me know :)
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./deploy.sh and voilà - Kubernetes running PyTAG (k9s, 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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Project Description
Saline is an addition for salt used in SUSE Manager/Uyuni aimed to provide better control and visibility for states deploymend in the large scale environments.
In current state the published version can be used only as a Prometheus exporter and missing some of the key features implemented in PoC (not published). Now it can provide metrics related to salt events and state apply process on the minions. But there is no control on this process implemented yet.
Continue with implementation of the missing features and improve the existing implementation:
authentication (need to decide how it should be/or not related to salt auth)
web service providing the control of states deployment
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Implement missing key features
Implement the tool for state deployment control with CLI
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