Description

A tool that collects detailed system, network, and CIFS-related metrics, uses an LLM to generate clear technical summaries of the system’s current state and workload behavior, and then provides validated, safe tuning recommendations based on a predefined schema of supported parameters.

Intel Rapid Start Technology(IRST) is a firmware mechanism enables your system to get up and running faster from sleep, saving time and power consumption, it will cause the system to wake up from S3 and suspend to S4(with SSD)[1]. Currently kernel 3.11 already support it[2], however there haven't a graphic tool to control its wakeup event and timeout, like as similar tool on Windows[3]. This Hackweek I'll create a YaST module to handle those parameters.

Project Description

Project Description

Current kGraft implementation allows to apply new patch only when the previous one is applied to the whole system. Every task is handled separately and it needs to wait for a safe place to switch. It might take a while, especially when the task is sleeping.

For our daily work, usually we need to check running result from openQA as a good reference for the quality of a specific build. I'd like to take this chance to make openQA deployed and try to review the test scripts.

Introduction

What is Qubes OS

There are several game launchers for Linux already (like Lutris or GR-lida), but none of them is focused on compatibility with old Linux games or other ancient native applications. At the same time it is getting more and more difficult to get those old applications to run on modern Linux distributions.

I want to study the knowledge of openQA I will read the online documents and do some experiment in virtal-machine.

Following up on the experiment from last Hackweek ( https://confluence.suse.com/display/~digitaltomm/Business+Intelligence+in+SCC ), it would be great having a production instance of Metabase running in the SCC EKS cluster, connected to the production database of SCC.

Description

Project Description

Description

Large language models like ChatGPT have demonstrated remarkable capabilities across a variety of applications. However, their potential for enhancing the Linux development and user ecosystem remains largely unexplored. This project seeks to bridge that gap by researching practical applications of LLMs to improve workflows in areas such as backporting, packaging, log analysis, system migration, and more. By identifying patterns that LLMs can leverage, we aim to uncover new efficiencies and automation strategies that can benefit developers, maintainers, and end users alike.

Description

After https://hackweek.suse.com/projects/105 the next thing to merge is hermes.

I previously created a semi-auto test script(*) for MOK. The script controls the QEMU virtual machine a pre-setup image and performs two simple test cases. It's tedious to setup the images for every SLE and openSUSE. My goal is to write a script to automatically set up the virtual machines and images and do a full test. I would also like to set up a test for weekly-built OVMF. openQA might be a good reference.

I would like to spend the hackweek to study the Professional Scrum Master level I (PSM I), and then take the certification examination.

I am HA developer, don't have any experience on machine leaning field. Recent years, many topics like "Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data, etc... (I don't forget AI, but in not this time)" become more and more popular and seems interesting to me. I also want to know how high availability function implemented in some distributed system for the core part.

libmarpa is an parsing library based on Earley's algorithm, by Jeffrey Kegler.

With all those analyzers for C code we get so much information about our C code.