Jake Hutchinson 617eed4741 Register baremetal compute nodes in Ironic
This patch adds experimental functionallity to enroll baremetal nodes
into Ironic using Kayobe via a new playbook 'baremetal-compute-register.yml'
and adds 'kayobe baremetal compute register' into the Kayobe CLI.

Depends-On: I719fc8042742fe8b3b0312658aec39317a1bc358
Change-Id: I988b082b539acfc2710d42e89bcac5b7a1eb526a
2024-05-16 09:56:54 +01:00
2019-09-16 16:26:27 +02:00
2021-03-24 07:25:28 +00:00
2021-07-27 07:33:20 +02:00
2019-06-25 02:24:45 +00:00
2017-04-06 10:15:29 +01:00
2023-12-05 09:14:43 +01:00
2024-03-27 15:07:08 +00:00
2020-04-20 18:04:19 +00:00
2023-10-16 10:15:29 +02:00
2023-12-08 11:55:04 +01:00
2022-09-02 15:59:52 +01:00

Kayobe

image

Kayobe enables deployment of containerised OpenStack to bare metal.

Containers offer a compelling solution for isolating OpenStack services, but running the control plane on an orchestrator such as Kubernetes or Docker Swarm adds significant complexity and operational overheads.

The hosts in an OpenStack control plane must somehow be provisioned, but deploying a secondary OpenStack cloud to do this seems like overkill.

Kayobe stands on the shoulders of giants:

  • OpenStack bifrost discovers and provisions the cloud
  • OpenStack kolla builds container images for OpenStack services
  • OpenStack kolla-ansible delivers painless deployment and upgrade of containerised OpenStack services

To this solid base, kayobe adds:

  • Configuration of cloud host OS & flexible networking
  • Management of physical network devices
  • A friendly openstack-like CLI

All this and more, automated from top to bottom using Ansible.

Features

Documentation

https://docs.openstack.org/kayobe/latest/

Release Notes

https://docs.openstack.org/releasenotes/kayobe/

Bugs

https://bugs.launchpad.net/kayobe

Community

OFTC's IRC channel: #openstack-kolla

License

Kayobe is distributed under the Apache 2.0 License.

Description
Deployment of containerised OpenStack to bare metal using kolla and bifrost
Readme 40 MiB
Languages
Python 85%
Shell 8%
Jinja 7%