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vmud213 09db71d640 Wait for at least one interface before node lookup
During node look up sometimes IPA sends hardware inventory information before
the interfaces are up, resulting in empty interfaces information being sent
to the conductor. This causes conductor to throw exceptions and polluting
the log until the real interfaces information is populated. This change makes
IPA to wait for at least one interface to be up before trying for node lookup.

Change-Id: Ifdb91298eaa5c725f108fa722263ed925691ecda
Closes-Bug: #1562786
2016-06-14 12:36:52 +00:00
2014-04-03 21:09:11 +04:00
2015-08-28 14:16:34 -07:00
2016-05-19 10:08:56 -04:00
2013-09-17 13:41:59 -07:00
2016-01-12 10:49:36 +01:00
2015-09-17 16:39:02 +00:00
2016-05-19 10:08:56 -04:00

ironic-python-agent

An agent for controlling and deploying Ironic controlled baremetal nodes.

The ironic-python-agent works with the agent driver in Ironic to provision the node. Starting with ironic-python-agent running on a ramdisk on the unprovisioned node, Ironic makes API calls to ironic-python-agent to provision the machine. This allows for greater control and flexibility of the entire deployment process.

The ironic-python-agent may also be used with the original Ironic pxe drivers as of the Kilo OpenStack release.

Building the IPA deployment ramdisk

For more information see the Image Builder section of the Ironic Python Agent developer guide.

Using IPA with devstack

This is covered in the Deploying Ironic with DevStack section of the Ironic dev-quickstart guide.

Project Resources

Project status, bugs, and blueprints are tracked on Launchpad:

http://launchpad.net/ironic-python-agent

Developer documentation can be found here:

http://docs.openstack.org/developer/ironic-python-agent

Additional resources are linked from the project wiki page:

https://wiki.openstack.org/wiki/Ironic-python-agent

IRC channel:

#openstack-ironic

To contribute, start here: Openstack: How to contribute.

Description
A Python agent for provisioning and deprovisioning Bare Metal servers.
Readme 36 MiB
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Python 99.9%
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