Description
For now installing Uyuni on Kubernetes requires running mgradm on a cluster node... which is not what users would do in the Kubernetes world. The idea is to implement an installation based only on helm charts and probably an operator.
Goals
Install Uyuni from Rancher UI.
Resources
mgradmcode: https://github.com/uyuni-project/uyuni-tools- Uyuni operator: https://github.com/cbosdo/uyuni-operator
Looking for hackers with the skills:
This project is part of:
Hack Week 24
Activity
Comments
-
about 1 year ago by cbosdonnat | Reply
At the end of the hackweek 24, the result is very encouraging:
- The server setup can now run in a Job instead of inside the running deployment
- The server installs correctly and the deployment is ready
- Salt systems can bootstrap when using
LoadBalancerservices on k3s. - Uninstalling the custom server resource cleans everything out of the box.
- The only things the user needs is to define the secrets and SSL certificates or the issuers for cert-manager, as well as an uyuni server custom resource.
The code:
- The operator: https://github.com/cbosdo/uyuni-operator
- The Uyuni-tools changes used by the operator: PR #507
- The Uyuni setup cleanup needed to run the setup in a separate pod: PR #9508
What's next:
- Implement migration from an old RPM-based server
- Implement update / upgrade of the server
- Play with more network setups
- Test with more kubernetes distros
-
about 1 year ago by cbosdonnat | Reply
Marked the project as completed as the initial stage is complete. PRs will eventually be polished and merged
-
about 1 year ago by cbosdonnat | Reply
Demo YAML file and video are available in https://github.com/cbosdo/uyuni-operator/tree/main/docs
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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.
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Description
This project wants to enhance the intial setup on Uyuni after its installation, so it's easier for a user to start using with it.
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Description
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If you're still curious about the AI in the title, it was just a way to grab your attention. Thanks for your understanding.
Nah, let's be honest
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Thanks to @isim and Dominic Giebert for their contributions!
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A CLI for Harvester by mohamed.belgaied
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Project Description
Harvester CLI is a command line interface tool written in Go, designed to simplify interfacing with a Harvester cluster as a user. It is especially useful for testing purposes as you can easily and rapidly create VMs in Harvester by providing a simple command such as:
harvester vm create my-vm --count 5
to create 5 VMs named my-vm-01 to my-vm-05.
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Github Repo for Harvester CLI: https://github.com/belgaied2/harvester-cli
Done in previous Hackweeks
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Goal for this Hackweek
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Some nice additions might be: * Improve handling of namespaced objects * Add features, such as network management or Load Balancer creation ? * Add more unit tests and, why not, e2e tests * Improve CI * Improve the overall code quality * Test the program and create issues for it
Issue list is here: https://github.com/belgaied2/harvester-cli/issues
Resources
The project is written in Go, and using client-go the Kubernetes Go Client libraries to communicate with the Harvester API (which is Kubernetes in fact).
Welcome contributions are:
- Testing it and creating issues
- Documentation
- Go code improvement
What you might learn
Harvester CLI might be interesting to you if you want to learn more about:
- GitHub Actions
- Harvester as a SUSE Product
- Go programming language
- Kubernetes API
- Kubevirt API objects (Manipulating VMs and VM Configuration in Kubernetes using Kubevirt)
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Description
The SUSE Manager (SUMA) teams' main tool for infrastructure automation, Sumaform, largely relies on terraform-provider-libvirt. That provider is also widely used by other teams, both inside and outside SUSE.
It would be good to help the maintainers of this project and give back to the community around it, after all the amazing work that has been already done.
If you're interested in any of infrastructure automation, Terraform, virtualization, tooling development, Go (...) it is also a good chance to learn a bit about them all by putting your hands on an interesting, real-use-case and complex project.
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