Project Description
At the moment, Uyuni uses a pretty standard frontend build chain based on Webpack 4, Terser, and a few loaders here and there. This works reliably, albeit fairly slowly. In part this may be attributed to large package sizes, in part to the tooling itself.
Over the past few years, a number of newer competitors have entered the frontend build tooling space: Snowpack, Vite and Esbuild to name a few. Many of them target build speed and development iteration speed as their primary goal. It would be great to check whether one of them can fit Uyuni.
Goal for this Hackweek
The goal for this project is to try and build the Uyuni frontend project with the three aforementioned tools: Snowpack, Vite and Esbuild. Given some of them rely on dependencies being ES modules, they might not work for this specific use case, but that needs further research.
The aim is to reduce both development turnaround times as well as production build times while keeping all existing functionality on par. The resulting tool chain should output both development and production builds, we don't want to maintain two parallel tracks for different builds.
Resources
Snowpack getting started guide: https://www.snowpack.dev/tutorials/quick-start
Vite getting started guide: https://vitejs.dev/guide/
Esbuild getting started guide: https://esbuild.github.io/getting-started/
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Hack Week 20
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Relevant blog post at news-o-o
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In the future, we could even explore reward options such as vouchers for t-shirts or other community swag, small tokens of appreciation to make recognition more tangible.
Resources
(Do not create new badge requests during hackweek, unless you'll make the badge during hackweek)
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Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil
Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!
Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.
For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.
No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)
The idea is testing Salt and Salt-ssh clients, but NOT traditional clients, which are deprecated.
To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):
- Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
- Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
- Package management (install, remove, update...)
- Patching
- Applying any basic salt state (including a formula)
- Salt remote commands
- Bonus point: Java part for product identification, and monitoring enablement
- Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
- Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
- Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)
If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)
- If you don't have knowledge about some of the steps: ask the team
- If you still don't know what to do: switch to another distribution and keep testing.
This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)
Pending
Debian 13
The new version of the beloved Debian GNU/Linux OS
Seems to be a Debian 12 derivative, so adding it could be quite easy.
[ ]Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)W]Onboarding (salt minion from UI, salt minion from bootstrap script, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)[ ]Package management (install, remove, update...)[ ]Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already). Probably not for Debian as IIRC we don't support patches yet.[ ]Applying any basic salt state (including a formula)[ ]Salt remote commands[ ]Bonus point: Java part for product identification, and monitoring enablement[ ]Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)[ ]Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
Set Uyuni to manage edge clusters at scale by RDiasMateus
Description
Prepare a Poc on how to use MLM to manage edge clusters. Those cluster are normally equal across each location, and we have a large number of them.
The goal is to produce a set of sets/best practices/scripts to help users manage this kind of setup.
Goals
step 1: Manual set-up
Goal: Have a running application in k3s and be able to update it using System Update Controler (SUC)
- Deploy Micro 6.2 machine
Deploy k3s - single node
- https://docs.k3s.io/quick-start
Build/find a simple web application (static page)
- Build/find a helmchart to deploy the application
Deploy the application on the k3s cluster
Install App updates through helm update
Install OS updates using MLM
step 2: Multi-node cluster
Goal: Use SUC to update a multi-node cluster.
- Create a multi-node cluster
- Deploy application
- Install App updates through helm update
- Prepare a SUC for OS update (k3s also? How?)
- https://github.com/rancher/system-upgrade-controller
- https://documentation.suse.com/cloudnative/k3s/latest/en/upgrades/automated.html
step 3: Automate day 2
Goal: Trigger the application deployment and update from MLM
- Salt states For application (with static data)
- Deploy the application helmchart, if not present
- Update/deploy the SUC?
- Update/deploy the SUC CRD with the update procedure
- Salt states to deploy k3s cluster?
- Link it to GIT
- Define how to link the state to the machines (based in some pillar data? Using configuration channels by importing the state? Naming convention?)
- Use git update to trigger helmchart app update
- Update git SUC - CR and apply the state to trigger the update of the machine.
- Recurrent state applying configuration channel?
Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil
Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!
Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.
For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.
No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)
The idea is testing Salt and Salt-ssh clients, but NOT traditional clients, which are deprecated.
To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):
- Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
- Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
- Package management (install, remove, update...)
- Patching
- Applying any basic salt state (including a formula)
- Salt remote commands
- Bonus point: Java part for product identification, and monitoring enablement
- Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
- Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
- Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)
If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)
- If you don't have knowledge about some of the steps: ask the team
- If you still don't know what to do: switch to another distribution and keep testing.
This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)
Pending
Debian 13
The new version of the beloved Debian GNU/Linux OS
Seems to be a Debian 12 derivative, so adding it could be quite easy.
[ ]Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)W]Onboarding (salt minion from UI, salt minion from bootstrap script, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)[ ]Package management (install, remove, update...)[ ]Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already). Probably not for Debian as IIRC we don't support patches yet.[ ]Applying any basic salt state (including a formula)[ ]Salt remote commands[ ]Bonus point: Java part for product identification, and monitoring enablement[ ]Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)[ ]Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
Set Uyuni to manage edge clusters at scale by RDiasMateus
Description
Prepare a Poc on how to use MLM to manage edge clusters. Those cluster are normally equal across each location, and we have a large number of them.
The goal is to produce a set of sets/best practices/scripts to help users manage this kind of setup.
Goals
step 1: Manual set-up
Goal: Have a running application in k3s and be able to update it using System Update Controler (SUC)
- Deploy Micro 6.2 machine
Deploy k3s - single node
- https://docs.k3s.io/quick-start
Build/find a simple web application (static page)
- Build/find a helmchart to deploy the application
Deploy the application on the k3s cluster
Install App updates through helm update
Install OS updates using MLM
step 2: Multi-node cluster
Goal: Use SUC to update a multi-node cluster.
- Create a multi-node cluster
- Deploy application
- Install App updates through helm update
- Prepare a SUC for OS update (k3s also? How?)
- https://github.com/rancher/system-upgrade-controller
- https://documentation.suse.com/cloudnative/k3s/latest/en/upgrades/automated.html
step 3: Automate day 2
Goal: Trigger the application deployment and update from MLM
- Salt states For application (with static data)
- Deploy the application helmchart, if not present
- Update/deploy the SUC?
- Update/deploy the SUC CRD with the update procedure
- Salt states to deploy k3s cluster?
- Link it to GIT
- Define how to link the state to the machines (based in some pillar data? Using configuration channels by importing the state? Naming convention?)
- Use git update to trigger helmchart app update
- Update git SUC - CR and apply the state to trigger the update of the machine.
- Recurrent state applying configuration channel?
Ansible to Salt integration by vizhestkov
Description
We already have initial integration of Ansible in Salt with the possibility to run playbooks from the salt-master on the salt-minion used as an Ansible Control node.
In this project I want to check if it possible to make Ansible working on the transport of Salt. Basically run playbooks with Ansible through existing established Salt (ZeroMQ) transport and not using ssh at all.
Goals
- [ ] Prepare the testing environment with Salt and Ansible installed
- [ ] Discover Ansible codebase to figure out possible ways of integration
- [ ] Make basic modules to work with no using separate ssh connection, but reusing existing Salt connection
- [ ] Test some most common playbooks
Resources
TBD
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:
- Connects to Prometheus and executes a query to fetch detailed test failure history.
- Processes the raw data into a format suitable for the Gemini API.
- Successfully calls the Gemini API with the data and a clear prompt.
- Parses the AI's response to extract a simple list of flaky tests.
- Saves the list to a JSON file that can be displayed in Grafana.
- New panel in our Dashboard listing the Flaky tests
Resources
- Jenkins Prometheus Exporter: https://github.com/uyuni-project/jenkins-exporter/
- Data Source: Our internal Prometheus server.
- Key Metric:
jenkins_build_test_case_failure_age{jobname, buildid, suite, case, status, failedsince}. - Existing Query for Reference:
count by (suite) (max_over_time(jenkins_build_test_case_failure_age{status=~"FAILED|REGRESSION", jobname="$jobname"}[$__range])). - AI Model: The Google Gemini API.
- Example about how to interact with Gemini API: https://github.com/srbarrios/FailTale/
- Visualization: Our internal Grafana Dashboard.
- Internal IaC: https://gitlab.suse.de/galaxy/infrastructure/-/tree/master/srv/salt/monitoring
Uyuni Health-check Grafana AI Troubleshooter by ygutierrez
Description
This project explores the feasibility of using the open-source Grafana LLM plugin to enhance the Uyuni Health-check tool with LLM capabilities. The idea is to integrate a chat-based "AI Troubleshooter" directly into existing dashboards, allowing users to ask natural-language questions about errors, anomalies, or performance issues.
Goals
- Investigate if and how the
grafana-llm-appplug-in can be used within the Uyuni Health-check tool. - Investigate if this plug-in can be used to query LLMs for troubleshooting scenarios.
- Evaluate support for local LLMs and external APIs through the plugin.
- Evaluate if and how the Uyuni MCP server could be integrated as another source of information.
Resources