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There's a lot of duplication here. Given that 'conf.py' is Python, we
can simplify this greatly and focus on the real content differences.

The description text is the same for all options, but this isn't
centralized as it shouldn't be the same (this field should contain a
description of each individual tool).

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OpenStack Nova

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, XenServer and OpenStack Ironic.

OpenStack Nova is distributed under the terms of the Apache License, Version 2.0. The full terms and conditions of this license are detailed in the LICENSE file.

API

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

https://developer.openstack.org/api-guide/compute/ https://developer.openstack.org/api-ref/compute/

For more information on OpenStack APIs, SDKs and CLIs, please see:

https://www.openstack.org/appdev/ https://developer.openstack.org/

Operators

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

https://docs.openstack.org

For information about the different compute (hypervisor) drivers supported by Nova, please read:

https://docs.openstack.org/developer/nova/feature_classification.html

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:

https://bugs.launchpad.net/nova

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:

https://docs.openstack.org/developer/nova/

Description
OpenStack Compute (Nova)
Readme 1.6 GiB
Languages
Python 97.6%
Smarty 2.3%
Shell 0.1%