Project Description
Idea is to predefine a set of security policies for popular container applications just for example MySQL, Nginx etc..., with these predefined security policies, users can just download unpack it to use. No need to worry too much about detailed security settings/configurations for this application container. The policies could be any policies that Kubernetes supported and/or NeuVector supported.
Today, there are security policies being supported by Kubernetes like NetworkPolicy, there are extended policies like KubeWarden admission control policies, there are advanced security policy like NeuVector's L7 network policy, process & file policy etc... All these policies are providing functions to secure a Kubernetes environment. From end user point of view, it is good but not convenient enough to use unless users are security experts. So idea is, we could create many predefined security policies for many popular container applications, define these as a Kubernetes standard format like CRD extension just for example. Make these the building blocks coupled with the app images, so when users pull a container, a security policy can be imported at same time. The basic security settings (baseline) will be in place right away. If NeuVector was installed already then the enforcement is in place as well. Most of the users will have basic security in place by doing almost nothing. (of course, if it's necessary, users can still customize or fine tune the predefined templates.)
Security needs to be easy to use but still strong enough to protect, a lot of security postures/configurations/policies could be already defined when this application container image is created. These security manifest is different per apps but it is relatively stable per container as well. So, if we can create or generate security policy templates for popular application images, eventually make some of solid ones a built-in template, or even grow to be a hosted security policy hub. It could be a new critical way to secure Kubernetes world.
Goal for this Hackweek
Study this deeper, choose a few popular applications and make a prototype/demo to proof the concept.
Resources
Some of the policies might not be a good fit to be profiled as manifest. Here we will be focusing on relatively stable application security posture/configuration/runtime policies. Starting point could be look into these:
https://open-docs.neuvector.com/policy/overview
https://kubernetes.io/docs/concepts/services-networking/network-policies/
https://docs.kubewarden.io/writing-policies
https://kyverno.io/docs/kyverno-policies/
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Hack Week 23
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Project Description
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Description
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Description
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Description
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./deploy.sh
and voilà - Kubernetes running PyTAG (k9s
, above) with GPU acceleration (nvtop
, below)
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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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Goals
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- As a user I'd like to set what policies must be enforced for a cluster (or list of clusters).
Resources
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- Kubewarden: https://docs.kubewarden.io/