Combined icons of k3s and Uyuni

Building on the lessons learned in the previous HackWeek, attack the Server specifically to create a set of containers deployable on k3s via Helm.

Goal for this Hackweek

  • create a Helm chart to run a self-sufficient Uyuni Server, starting with one fat containers with mounted volumes
  • slice off PostgreSQL in its own container
  • slice off some other component in their own container
  • bonus points: run the end-to-end testsuite!

Project coordination is on the Wiki project page

Looking for hackers with the skills:

containers k3s k8s kubernetes uyuni manager susemanager docker podman helm

This project is part of:

Hack Week 21

Activity

  • over 3 years ago: j_renner liked this project.
  • over 3 years ago: paulgonin liked this project.
  • over 3 years ago: RDiasMateus joined this project.
  • over 3 years ago: mbussolotto liked this project.
  • over 3 years ago: moio added keyword "helm" to this project.
  • over 3 years ago: moio added keyword "manager" to this project.
  • over 3 years ago: moio added keyword "susemanager" to this project.
  • over 3 years ago: moio added keyword "docker" to this project.
  • over 3 years ago: moio added keyword "podman" to this project.
  • over 3 years ago: moio added keyword "containers" to this project.
  • over 3 years ago: moio added keyword "k3s" to this project.
  • over 3 years ago: moio added keyword "k8s" to this project.
  • over 3 years ago: moio added keyword "kubernetes" to this project.
  • over 3 years ago: moio added keyword "uyuni" to this project.
  • over 3 years ago: moio started this project.
  • over 3 years ago: moio liked this project.
  • over 3 years ago: moio originated this project.

  • Comments

    Be the first to comment!

    Similar Projects

    Mammuthus - The NFS-Ganesha inside Kubernetes controller by vcheng

    Description

    As the user-space NFS provider, the NFS-Ganesha is wieldy use with serval projects. e.g. Longhorn/Rook. We want to create the Kubernetes Controller to make configuring NFS-Ganesha easy. This controller will let users configure NFS-Ganesha through different backends like VFS/CephFS.

    Goals

    1. Create NFS-Ganesha Package on OBS: nfs-ganesha5, nfs-ganesha6
    2. Create NFS-Ganesha Container Image on OBS: Image
    3. Create a Kubernetes controller for NFS-Ganesha and support the VFS configuration on demand. Mammuthus

    Resources

    NFS-Ganesha


    Move Uyuni Test Framework from Selenium to Playwright + AI by oscar-barrios

    Description

    This project aims to migrate the existing Uyuni Test Framework from Selenium to Playwright. The move will improve the stability, speed, and maintainability of our end-to-end tests by leveraging Playwright's modern features. We'll be rewriting the current Selenium code in Ruby to Playwright code in TypeScript, which includes updating the test framework runner, step definitions, and configurations. This is also necessary because we're moving from Cucumber Ruby to CucumberJS.

    If you're still curious about the AI in the title, it was just a way to grab your attention. Thanks for your understanding.


    Goals

    • Migrate Core tests including Onboarding of clients
    • Improve test reliabillity: Measure and confirm a significant reduction of flakynes.
    • Implement a robust framework: Establish a well-structured and reusable Playwright test framework using the CucumberJS

    Resources


    Flaky Tests AI Finder for Uyuni and MLM Test Suites by oscar-barrios

    Description

    Our current Grafana dashboards provide a great overview of test suite health, including a panel for "Top failed tests." However, identifying which of these failures are due to legitimate bugs versus intermittent "flaky tests" is a manual, time-consuming process. These flaky tests erode trust in our test suites and slow down development.

    This project aims to build a simple but powerful Python script that automates flaky test detection. The script will directly query our Prometheus instance for the historical data of each failed test, using the jenkins_build_test_case_failure_age metric. It will then format this data and send it to the Gemini API with a carefully crafted prompt, asking it to identify which tests show a flaky pattern.

    The final output will be a clean JSON list of the most probable flaky tests, which can then be used to populate a new "Top Flaky Tests" panel in our existing Grafana test suite dashboard.

    Goals

    By the end of Hack Week, we aim to have a single, working Python script that:

    1. Connects to Prometheus and executes a query to fetch detailed test failure history.
    2. Processes the raw data into a format suitable for the Gemini API.
    3. Successfully calls the Gemini API with the data and a clear prompt.
    4. Parses the AI's response to extract a simple list of flaky tests.
    5. Saves the list to a JSON file that can be displayed in Grafana.
    6. New panel in our Dashboard listing the Flaky tests

    Resources