Agama installer on-line demo by lslezak

Description

The Agama installer provides a quite complex user interface. We have some screenshots on the web page but as it is basically a web application it would be nice to have some on-line demo where users could click and check it live.

The problem is that the Agama server directly accesses the hardware (storage probing) and loads installation repositories. We cannot easily mock this in the on-line demo so the easiest way is to have just a read-only demo. You could explore the configuration options but you could not change anything, all changes would be ignored.

The read-only demo would be a bit limited but I still think it would be useful for potential users get the feeling of the new Agama installer and get familiar with it before using in a real installation.

As a proof of concept I already created this on-line demo.

The implementation basically builds Agama in two modes - recording mode where it saves all REST API responses and replay mode where it for the REST API requests returns the previously recorded responses. Recording in the browser is inconvenient and error prone, there should be some scripting instead (see below).

Goals

• Create an Agama on-line demo which can be easily tested by users
• The Agama installer is still in alpha phase and in active development, the online demo needs to be easily rebuilt with the latest Agama version
• Ideally there should be some automation so the demo page is rebuilt automatically without any developer interactions (once a day or week?)

TODO

• Use OpenAPI to get all Agama REST API endpoints, write a script which queries all the endpoints automatically and saves the collected data to a file (see this related PR).
• Write a script for starting an Agama VM (use libvirt/qemu?), the script should ensure we always use the same virtual HW so if we need to dump the latest REST API state we get the same (or very similar data). This should ensure the demo page does not change much regarding the storage proposal etc...
• Fix changing the product, currently it gets stuck after clicking the "Select" button.
• Move the mocking data (the recorded REST API responses) outside the Agama sources, it's too big and will be probably often updated. To avoid messing the history keep it in a separate GitHub repository
• Allow changing the UI language
• Display some note (watermark) in the page so it is clear it is a read-only demo (probably with some version or build date to know how old it is)
• Automation for building new demo page from the latest sources. There should be some check which ensures the recorded data still matches the OpenAPI specification.

Changing the UI language

This will be quite tricky because selecting the proper translation file is done on the server side. We would probably need to completely re-implement the logic in the browser side and adapt the server for that.

Also some REST API responses contain translated texts (storage proposal, pattern names in software). We would need to query the respective endpoints in all supported languages and return the correct response in runtime according to the currently selected language.

Resources

• Agama sources
• Experimental proof of concept demo
• The respective source code change

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Write an url shortener in Rust (And learn in the way) by szarate

So I have 469.icu :), it's currently doing nothing... (and for sale) but in the meantime, I'd like to write an url shortener from scratch and deploy it on my own server

https://github.com/foursixnine/url-manager-rs/tree/main

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SMB3 Server written entirely in Rust by dmulder

Description

Given the number of bugs frequently discovered in the Samba code caused by memory issues, it makes sense to re-write the smbd service purely in Rust code. Meanwhile, it would be wise to abandon backwards compatibility here with insecure protocol versions, and simply implement the SMB3 spec.

Goals

Get a simple server up and running and get it merged into upstream Samba (which now has Rust build support).

Resources

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Grapesss: a physical Shamir's Secret Sharing application [ESP32-C3 + Mobile] by ecandino

Description

A couple of years ago I created StegoSecretS, a small cli used to encrypt and split a secret into multiple keys, using the Shamir's Secret Sharing algorithm.

The idea is to re-implement the project using physical devices. One device alone will be useless, but when close together they can be used to decrypt the secret.

On a practical side the user encrypts the secret with a mobile application. The same application is used to split the secret, and load the partial keys into different micro-controllers. Another user will be able to decrypt the secret only having at least N devices close together (using the application).

I'm planning to use a couple of ESP32-C3 I bought, and build a very simple Android mobile application.

Goals

• Learn about Rust and micro-controllers (ESP32-C3)
• Learn about mobile applications (Android and Kotlin)

Resources

• Shamir's Secret Sharing
• The esp-rs Book
• Android - Kotlin

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Kanidm: A safe and modern IDM system by firstyear

Kanidm is an IDM system written in Rust for modern systems authentication. The github repo has a detailed "getting started" on the readme.

Kanidm Github

In addition Kanidm has spawn a number of adjacent projects in the Rust ecosystem such as LDAP, Kerberos, Webauthn, and cryptography libraries.

In this hack week, we'll be working on Quokca, a certificate authority that supports PKCS11/TPM storage of keys, issuance of PIV certificates, and ACME without the feature gatekeeping implemented by other CA's like smallstep.

For anyone who wants to participate in Kanidm, we have documentation and developer guides which can help.

I'm happy to help and share more, so please get in touch!

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SUSE Prague claw machine by anstalker

Project Description

The idea is to build a claw machine similar to e.g. this one:

Why? Well, it could be a lot of fun!

But also it's a great way to dispense SUSE and openSUSE merch like little Geekos at events like conferences, career fairs and open house events.

Goal for this Hackweek

Build an arcade claw machine.

Resources

In French, an article about why you always lose in claw machine games:

We're looking for handy/crafty people in the Prague office:

• woodworking XP or equipment
• arduino/raspi embedded programming knowledge
• Anthony can find a budget for going to GM and buying servos and such ;)

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SUSE AI Meets the Game Board by moio

Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!

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AI + Board Games

Board games have long been fertile ground for AI innovation, pushing the boundaries of capabilities such as strategy, adaptability, and real-time decision-making - from Deep Blue's chess mastery to AlphaZero’s domination of Go. Games aren’t just fun: they’re complex, dynamic problems that often mirror real-world challenges, making them interesting from an engineering perspective.

As avid board gamers, aspiring board game designers, and engineers with careers in open source infrastructure, we’re excited to dive into the latest AI techniques first-hand.

Our goal is to develop an all-open-source, all-green AWS-based stack powered by some serious hardware to drive our board game experiments forward!

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Project Goals

1. Set Up the Stack:

   • Install and configure the TAG and PyTAG frameworks on SUSE Linux Enterprise Base Container Images.
   • Integrate with the SUSE AI stack for GPU-accelerated training on AWS.
   • Validate a sample GPU-accelerated PyTAG workload on SUSE AI.
   • Ensure the setup is entirely repeatable with Terraform and configuration scripts, documenting results along the way.

2. Design and Implement AI Agents:

   • Develop AI agents for the two board games, incorporating Statistical Forward Planning and Deep Reinforcement Learning techniques.
   • Fine-tune model parameters to optimize game-playing performance.
   • Document the advantages and limitations of each technique.

3. Test, Analyze, and Refine:

   • Conduct AI vs. AI and AI vs. human matches to evaluate agent strategies and performance.
   • Record insights, document learning outcomes, and refine models based on real-world gameplay.

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Technical Stack

• Frameworks: TAG and PyTAG for AI agent development
• Platform: SUSE AI
• Tools: AWS for high-performance GPU acceleration

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Why This Project Matters

This project not only deepens our understanding of AI techniques by doing but also showcases the power and flexibility of SUSE’s open-source infrastructure for supporting high-level AI projects. By building on an all-open-source stack, we aim to create a pathway for other developers and AI enthusiasts to explore, experiment, and deploy their own innovative projects within the open-source space.

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Our Motivation

We believe hands-on experimentation is the best teacher.

Combining our engineering backgrounds with our passion for board games, we’ll explore AI in a way that’s both challenging and creatively rewarding. Our ultimate goal? To hack an AI agent that’s as strategic and adaptable as a real human opponent (if not better!) — and to leverage it to design even better games... for humans to play!

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