Stephen Finucane 5b7a677082 docs: Further tweaks to the CPU models document
Address some feedback from the initial review:

- Fix grammar
- Reorganize document so it makes sense to talk about CPU mode
  configuration before CPU models
- Go into more detail about CPU mode defaults on different host
  architectures

Change-Id: I3fdd71581e088fd8b18f7377826d095072dd51c0
Signed-off-by: Stephen Finucane <stephenfin@redhat.com>
2023-11-13 17:15:20 +00:00
2019-04-19 19:45:52 +00:00
2014-05-07 12:14:26 -07:00
2017-11-24 16:51:12 -05:00
2023-08-13 09:16:27 +02:00
2010-05-27 23:05:26 -07:00
2017-09-07 15:42:31 +02:00
2022-08-02 15:31:19 +02:00
2017-03-02 11:50:48 +00:00
2023-08-31 21:02:48 +00:00

OpenStack Nova

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OpenStack Nova provides a cloud computing fabric controller, supporting a wide variety of compute technologies, including: libvirt (KVM, Xen, LXC and more), Hyper-V, VMware and OpenStack Ironic.

Use the following resources to learn more.

API

To learn how to use Nova's API, consult the documentation available online at:

For more information on OpenStack APIs, SDKs and CLIs in general, refer to:

Operators

To learn how to deploy and configure OpenStack Nova, consult the documentation available online at:

In the unfortunate event that bugs are discovered, they should be reported to the appropriate bug tracker. If you obtained the software from a 3rd party operating system vendor, it is often wise to use their own bug tracker for reporting problems. In all other cases use the master OpenStack bug tracker, available at:

Developers

For information on how to contribute to Nova, please see the contents of the CONTRIBUTING.rst.

Any new code must follow the development guidelines detailed in the HACKING.rst file, and pass all unit tests.

Further developer focused documentation is available at:

Other Information

During each Summit and Project Team Gathering, we agree on what the whole community wants to focus on for the upcoming release. The plans for nova can be found at:

Description
OpenStack Compute (Nova)
Readme 1.6 GiB
Languages
Python 97.7%
Smarty 2.2%
Shell 0.1%