Project Description
People need to test operating systems and applications on s390 platform.
Installation from scratch solutions include:
- just deploy and provision manually (with the help of
ftpboot
script, if you are at SUSE) - use
s3270
terminal emulation (used byopenQA
people?) - use
LXC
from IBM to start CP commands and analyze the results - use
zPXE
to do some PXE-alike booting (used by theorthos
team?) - use
tessia
to install from scratch using autoyast - use
libvirt
for s390 to do some nested virtualization on some already deployed z/VM system - directly install a Linux kernel on a LPAR and use
kvm
+libvirt
from there
Deployment from image solutions include:
- use
ICIC
web interface (openstack
in disguise, contributed by IBM) - use
ICIC
from theopenstack
terraform
provider (used byRancher
QA) - use
zvm_ansible
to controlSMAPI
- connect directly to
SMAPI
low-level socket interface
IBM Cloud Infrastructure Center (ICIC
) harnesses the Feilong API, but you can use Feilong
without installing ICIC
, provided you set up a "z/VM cloud connector" into one of your VMs following this schema.
What about writing a terraform Feilong
provider, just like we have the terraform
libvirt
provider? That would allow to transparently call Feilong
from your main.tf files to deploy and destroy resources on your system/z.
Other Feilong-based solutions include:
- make
libvirt
Feilong-aware - simply call
Feilong
from shell scripts withcurl
- use
zvmconnector
client python library from Feilong - use
zthin
part of Feilong to directly commandSMAPI
.
Goal for Hackweek 23
My final goal is to be able to easily deploy and provision VMs automatically on a z/VM system, in a way that people might enjoy even outside of SUSE.
My technical preference is to write a terraform provider plugin, as it is the approach that involves the least software components for our deployments, while remaining clean, and compatible with our existing development infrastructure.
Goals for Hackweek 24
Feilong provider works and is used internally by SUSE Manager team. Let's push it forward!
Let's add support for fiberchannel disks and multipath.
Goals for Hackweek 25
- Finish support for fiberchannel disks and multipath
- Fix problems with registration on hashicorp providers registry
- Finish the U part of CRUD
- Move from private repos to Open Mainframe project
Resources
Outcome
This project is part of:
Hack Week 23 Hack Week 24
Activity
Comments
-
about 1 year ago by mfriesenegger | Reply
As the Feilong project chair, I like the terraform-feilong-provider project and making libvirt Feilong-aware. I will support your effort!
-
about 1 year ago by e_bischoff | Reply
Thanks for your support Mike. For the moment, I am still not completely sure whether I will take the terraform approach or the libvirt approach. The first one seems to me better, as for practical purposes it's one software layer less for us. I could even pick up something completely different. But so far the terraform provider approach seems the most promising for the least effort.
-
about 1 year ago by e_bischoff | Reply
OK, decision taken, I will stick to the terraform approach.
The bad part is that I have to code for 2 versions of
terraform
as we need to support both plugin protocols 5 and 6.The good part is that we get a golang library for
Feilong
for free (there is a project ZVM connector golang but it does not provide marshalling and demarshalling). -
about 1 year ago by e_bischoff | Reply
We have a working provider and a partial Go library. Mission accomplished, although it would be nice to attract other contributors and fill in the holes.
-
12 months ago by e_bischoff | Reply
Go library has now 100% coverage.
I'm not sure anymore that the protocol 5 provider was useful, but I'll keep maintaining it because it's handy for my tests.
The provider still lacks R and U parts of CRUD.
-
about 1 month ago by e_bischoff | Reply
In Feilong source code, some functions are undocumented, mainly around FiberChannel. This means that the Go library is not 100% complete as I thought. I will try to add the missing Go methods as well as the documentation in Feilong itself.
-
about 1 month ago by e_bischoff | Reply
I have added all missing functions to the Go library. I also wrote the upstream API doc for all missing functions and tried to fix as much as I could the rest of the upstream API doc. That was around one thousand modified documentation lines.
Using these new functions, and with the help of Mike, I was able to make both FiberChannel and multipath work. We still need ad hoc images though, with multipath-tools package installed and multipathd service enabled. I'll try to get them either from Mike or from the public cloud team.
-
27 days ago by e_bischoff | Reply
The hackweek 24 is getting to its end. I prepared a kind of TODO for hackweek 25, with remaining issues.
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SUSE AI Meets the Game Board by moio
Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!
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./deploy.sh
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Results: Game Design Insights
Our project focused on modeling and analyzing two card games of our own design within the TAG framework:
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- more about R3 on Silvio's site (italian, translation coming)
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A family picture of our card games in progress. From the top: Bamboo, Totoro, R3
Results: Learning, Collaboration, and Innovation
Beyond technical accomplishments, the project showcased innovative approaches to coding, learning, and teamwork:
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- AI tools for reporting and documentation: We extensively used AI chatbots to streamline writing and reporting. (Including writing this report! ...but this note was added manually during edit!)
- 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