Once again, the SUSE band is coming together to make music and we're planning a party this time round!!!

Create an OpenVPN gateway based on SLES 12 JeOS

There is a number of possible improvements to the architecture of SUSE Manager / Salt integration that should be investigated in order to improve the reliability and scalability of the backend:

1% of SUSE Manager's functionality in 0.1% of the lines of code

terraform-provider-libvirt supports CoreOS ignition file/content, which end rendered as kernel command line options (the provider does some nice stuff like allowing you to pass the json content and it will take care of putting it into a temporary file).

The idea is to explore the technologies and the various components to realize some AI to predict pitfalls in source code which can potentially generate run-time misbehaviours.

Let's make reposync faster

Avahi is (among others) a domain names auto-configuration system for Linux compatible with Bonjour.

For years we have been discussing the idea to modularize SUSE Manager. This would enable developers to create their own extensions to SUSE Manager without needing to touch the core repository.

We already tried to improve the Jangouts data model in the past and, although we made quite some progress, we did not finish it. I've been playing a bit with React and Redux lately, and I would like now to try a different approach replacing Angular with that combo. Using Vue.js might be another option too.

Simplify the codebase by using a more modern toolkit to accelerate maintenance and future development.

Uyuni is an heterogeneous and giant project (actually it is a beast) made of many pieces, many languages, many internal architecture structures, and also very old and new technologies live in it. Said that, and based on the fact Uyuni delivers tons of features/functionalities not all the end users use, it is not trivial at all to understand

Deploy Uyuni as an app from the Rancher marketplace - or install via Helm on any Kubernetes cluster, on any OS, or any Public Cloud.

Bug reports can be a great source of information, but usually finding the information requires extensive work in reading through all of the discussions and understanding the details about it.

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.

Project Description

• Create an automated L0-support-like analytics solution for supportconfig data that is tiered across a customer's environment and SUSE environment (similar to a very modular AIOps Edge-Core approach). A pictorial overview of the ecosystem

Project Description

Terraform's remote backend requires a Terraform Cloud account and has an initial limited offering. While the initial offering is suitable for small resource management and teams this quickly becomes an issue as usage demands increase. In addition Terraform's remote operations (plan,apply, etc) are executed on HashiCorp's cloud resources which present issues for sensitive data such as passwords and access keys. Users are also constrained to as what tooling is available on the remote execution environment for example having kubectl as part of a local-resource. This project aims to address these shortcomings in a native Kubernetes implementation.

Introduction

Project Description

Description

Following the acquisition of StackState, SUSE now has access to a powerful observability solution with built-in guided remediation. We've run initial tests on enhancing this experience by automating troubleshooting steps and exploring how AI can further improve the process. Now, we want to take it to the next level by exploring new ways to automate the detection, diagnosis, and remediation of performance and health issues in our systems, and to understand how AI can enhance this workflow.

Description

Use the internal documentation (wiki, confluence, etc.) to train AI to be able to answer questions from developers about product architecture, hr, it, etc.

Description

Learn how to apply LangChain or LangGraph into LLM application building

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

Description

Following on from Gunasekhar Matamalam excellent post introducing k8sgtp i'd like to try to integrate it's output into the Rancher UI via the UI extension mechanism.

Description

Our scalability and performance testing swiss-army knife tool Dartboard is a major WIP so why not add more scope creep?