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. Actions are currently scheduled in the minions using the schedule module of Salt. This brings problems with reliability as for instance a minion can be down at the specified schedule time which leads to actions not being executed. Scalability can be an issue as actions being scheduled for many minions might return results to the server at the same time. Instead it might be better to keep control over scheduled actions on the server to allow batching of actions as well as downtimes of minions or even the server. There is a work in progress branch to get started.
  2. For receiving action results we are currently relying on a websocket connection to the Salt event bus in order to receive job return events. This is problematic as the connection might be interrupted leading to the server missing events. Instead we could make use of a master-side returner to write the action results directly into the postgresql database. This would further allow to have setups with multiple Salt masters returning job results to the same database.

Looking for hackers with the skills:

susemanager salt backend java python postgresql

This project is part of:

Hack Week 15

Activity

  • almost 8 years ago: dvosburg liked this project.
  • almost 8 years ago: whdu liked this project.
  • almost 8 years ago: moio joined this project.
  • almost 8 years ago: moio liked this project.
  • almost 8 years ago: j_renner added keyword "python" to this project.
  • almost 8 years ago: j_renner added keyword "postgresql" to this project.
  • almost 8 years ago: dmacvicar liked this project.
  • almost 8 years ago: j_renner started this project.
  • almost 8 years ago: j_renner liked this project.
  • almost 8 years ago: j_renner added keyword "susemanager" to this project.
  • almost 8 years ago: j_renner added keyword "salt" to this project.
  • almost 8 years ago: j_renner added keyword "backend" to this project.
  • almost 8 years ago: j_renner added keyword "java" to this project.
  • almost 8 years ago: j_renner originated this project.

  • Comments

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    A chameleon playing chess in a train car, as a metaphor of SUSE AI applied to games


    Results: Infrastructure Achievements

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    A screenshot of k9s and nvtop showing PyTAG running in Kubernetes with GPU acceleration

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    Results: Game Design Insights

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    • Game Modeling: We implemented models for Dario's "Bamboo" and Silvio's "Totoro" and "R3" games, enabling AI agents to play thousands of games ...in minutes!
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    • Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .

    Cards from the three games

    A family picture of our card games in progress. From the top: Bamboo, Totoro, R3

    Results: Learning, Collaboration, and Innovation

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    • "Trio programming" with AI assistance: Our "trio programming" approach—two developers and GitHub Copilot—was a standout success, especially in handling slightly-repetitive but not-quite-exactly-copypaste tasks. Java as a language tends to be verbose and we found it to be fitting particularly well.
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    • GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
    • Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.

    Last but not least we had a lot of fun! ...and this was definitely not a chatbot generated line!

    The Context: AI + Board Games


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    • Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .

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    • GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
    • Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.

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    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):

    1. Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
    2. 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)
    3. Package management (install, remove, update...)
    4. Patching
    5. Applying any basic salt state (including a formula)
    6. Salt remote commands
    7. Bonus point: Java part for product identification, and monitoring enablement
    8. Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
    9. Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
    10. 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

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    FUSS is a complete GNU/Linux solution (server, client and desktop/standalone) based on Debian for managing an educational network.

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    Seems to be a Debian 12 derivative, so adding it could be quite easy.

    • [W] 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) --> Working for all 3 options (salt minion UI, salt minion bootstrap script and salt-ssh minion from the UI).
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    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.