Deployment of physical machines using OpenStack Ironic and Ansible
Project description
Bifrost (pronounced bye-frost) is a set of Ansible playbooks that automates the task of deploying a base image onto a set of known hardware using ironic. It provides modular utility for one-off operating system deployment with as few operational requirements as reasonably possible.
The mission of bifrost is to provide an easy path to deploy ironic in a stand-alone fashion, in order to help facilitate the deployment of infrastructure, while also being a configurable project that can consume other OpenStack components to allow users to easily customize the environment to fit their needs, and drive forward the stand-alone perspective.
Use cases include:
Installation of ironic in standalone/noauth mode without other OpenStack components.
Deployment of an operating system to a known pool of hardware as a batch operation.
Testing and development of ironic in the standalone mode.
Useful Links
- Bifrost’s documentation can be found at:
- Release notes are at:
- The project source code repository is located at:
- Bugs can be filed in launchpad:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file bifrost-19.1.0.tar.gz
.
File metadata
- Download URL: bifrost-19.1.0.tar.gz
- Upload date:
- Size: 248.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ad81dadef7e7d10883fbb00a6dd307a8d39745bf024b27a4b574aa6c613494c |
|
MD5 | 0f6da70327bd1267b8e7aac365449697 |
|
BLAKE2b-256 | d6886a9b4e2f5a5318e6008db7b60ed7cfd1793cba02af25ccbf8536b53c4ad6 |
File details
Details for the file bifrost-19.1.0-py3-none-any.whl
.
File metadata
- Download URL: bifrost-19.1.0-py3-none-any.whl
- Upload date:
- Size: 26.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 37164779af4a425a3f5b8163f81c4ae815d5d2b6c9748091099333d7d3c57506 |
|
MD5 | e84a3e34f752c010e00c922b8acdc12c |
|
BLAKE2b-256 | d9fba43ba8d8e9272d4ad1425c7e17bf8e729c22860f3e9a6d550bb0a46e3eee |