The supportconfig utility is used by support teams to collect all information needed to troubleshoot a system in one shot.

The objective of this project is to create a central repository of supportconfig tarballs. To do so, we're going to develop a set of tools to automatically fetch tarballs from known sources, parse the information, import the useful parts into an SQL database and expose it in a Web front-end where users can run some simple queries.

The following components will be developed:

  • Collector: Retrieves supportconfigs from the usual sources (Bugzilla, ftp.novell.com).
  • Parser: Parses the data from a supportconfig tarball and imports it into a database.
  • Front-end: Displays the collected data in useful formats, generate statistics and allow simple queries.

Looking for hackers with the skills:

python django shell

This project is part of:

Hack Week 10

Activity

  • over 6 years ago: barendartchuk liked this project.
  • over 8 years ago: mkoutny liked this project.
  • about 11 years ago: leonardocf removed keyword xml from this project.
  • about 11 years ago: leonardocf added keyword "python" to this project.
  • about 11 years ago: leonardocf added keyword "django" to this project.
  • about 11 years ago: leonardocf added keyword "shell" to this project.
  • about 11 years ago: leonardocf added keyword "xml" to this project.
  • about 11 years ago: leonardocf started this project.
  • about 11 years ago: leonardocf originated this project.

  • Comments

    • leonardocf
      about 11 years ago by leonardocf | Reply

      The "Collector" and "Parser" components were developed during Hack Week 9.

    • leonardocf
      about 11 years ago by leonardocf | Reply

      A working prototype of the front-end (using python-django) was developed during Hack Week 10.

    Similar Projects

    Saline (state deployment control and monitoring tool for SUSE Manager/Uyuni) by vizhestkov

    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

    Goal for this Hackweek

    • Implement missing key features

    • Implement the tool for state deployment control with CLI

    Resources

    https://github.com/openSUSE/saline


    Ansible for add-on management by lmanfredi

    Description

    Machines can contains various combinations of add-ons and are often modified during the time.

    The list of repos can change so I would like to create an automation able to reset the status to a given state, based on metadata available for these machines

    Goals

    Create an Ansible automation able to take care of add-on (repo list) configuration using metadata as reference

    Resources

    Results

    Created WIP project Ansible-add-on-openSUSE


    Run local LLMs with Ollama and explore possible integrations with Uyuni by PSuarezHernandez

    Description

    Using Ollama you can easily run different LLM models in your local computer. This project is about exploring Ollama, testing different LLMs and try to fine tune them. Also, explore potential ways of integration with Uyuni.

    Goals

    • Explore Ollama
    • Test different models
    • Fine tuning
    • Explore possible integration in Uyuni

    Resources

    • https://ollama.com/
    • https://huggingface.co/
    • https://apeatling.com/articles/part-2-building-your-training-data-for-fine-tuning/


    Team Hedgehogs' Data Observability Dashboard by gsamardzhiev

    Description

    This project aims to develop a comprehensive Data Observability Dashboard that provides r insights into key aspects of data quality and reliability. The dashboard will track:

    Data Freshness: Monitor when data was last updated and flag potential delays.

    Data Volume: Track table row counts to detect unexpected surges or drops in data.

    Data Distribution: Analyze data for null values, outliers, and anomalies to ensure accuracy.

    Data Schema: Track schema changes over time to prevent breaking changes.

    The dashboard's aim is to support historical tracking to support proactive data management and enhance data trust across the data function.

    Goals

    Although the final goal is to create a power bi dashboard that we are able to monitor, our goals is to 1. Create the necessary tables that track the relevant metadata about our current data 2. Automate the process so it runs in a timely manner

    Resources

    AWS Redshift; AWS Glue, Airflow, Python, SQL

    Why Hedgehogs?

    Because we like them.


    ClusterOps - Easily install and manage your personal kubernetes cluster by andreabenini

    Description

    ClusterOps is a Kubernetes installer and operator designed to streamline the initial configuration and ongoing maintenance of kubernetes clusters. The focus of this project is primarily on personal or local installations. However, the goal is to expand its use to encompass all installations of Kubernetes for local development purposes.
    It simplifies cluster management by automating tasks and providing just one user-friendly YAML-based configuration config.yml.

    Overview

    • Simplified Configuration: Define your desired cluster state in a simple YAML file, and ClusterOps will handle the rest.
    • Automated Setup: Automates initial cluster configuration, including network settings, storage provisioning, special requirements (for example GPUs) and essential components installation.
    • Ongoing Maintenance: Performs routine maintenance tasks such as upgrades, security updates, and resource monitoring.
    • Extensibility: Easily extend functionality with custom plugins and configurations.
    • Self-Healing: Detects and recovers from common cluster issues, ensuring stability, idempotence and reliability. Same operation can be performed multiple times without changing the result.
    • Discreet: It works only on what it knows, if you are manually configuring parts of your kubernetes and this configuration does not interfere with it you can happily continue to work on several parts and use this tool only for what is needed.

    Features

    • distribution and engine independence. Install your favorite kubernetes engine with your package manager, execute one script and you'll have a complete working environment at your disposal.
    • Basic config approach. One single config.yml file with configuration requirements (add/remove features): human readable, plain and simple. All fancy configs managed automatically (ingress, balancers, services, proxy, ...).
    • Local Builtin ContainerHub. The default installation provides a fully configured ContainerHub available locally along with the kubernetes installation. This configuration allows the user to build, upload and deploy custom container images as they were provided from external sources. Internet public sources are still available but local development can be kept in this localhost server. Builtin ClusterOps operator will be fetched from this ContainerHub registry too.
    • Kubernetes official dashboard installed as a plugin, others planned too (k9s for example).
    • Kubevirt plugin installed and properly configured. Unleash the power of classic virtualization (KVM+QEMU) on top of Kubernetes and manage your entire system from there, libvirtd and virsh libs are required.
    • One operator to rule them all. The installation script configures your machine automatically during installation and adds one kubernetes operator to manage your local cluster. From there the operator takes care of the cluster on your behalf.
    • Clean installation and removal. Just test it, when you are done just use the same program to uninstall everything without leaving configs (or pods) behind.

    Planned features (Wishlist / TODOs)

    • Containerized Data Importer (CDI). Persistent storage management add-on for Kubernetes to provide a declarative way of building and importing Virtual Machine Disks on PVCs for


    Port git-fixup to POSIX shell script and submit to git/git by mcepl

    Description

    https://github.com/keis/git-fixup is an exceedingly useful program, which I use daily, and I would love to every git user could bask in its awesomeness. Alas, it is a bash script, so it is not appropriate for the inclusion in git proper.

    Goals

    Port the script to plain POSIX shell and submit for consideration to git@vger.kernel.org

    Resources