openstack
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watcher
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Resource optimization service for OpenStack.
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Alexander Chadin f76a628d1f Remove pbr warnerrors 
This change removes the now unused "warnerrors" setting,
which is replaced by "warning-is-error" in sphinx
releases >= 1.5 [1].

[1] http://lists.openstack.org/pipermail/openstack-dev/2017-March/113085.html

Change-Id: I32f078169668be08737e47cd15edbdfba42904dc
 		2017-08-16 11:54:24 +03:00
devstack Fix devstack plugin 2017-07-20 08:48:57 +00:00
doc Merge "[Doc] Update software version" 2017-08-07 07:41:02 +00:00
etc Remove all sphinx warnings 2017-07-25 07:31:53 +00:00
rally-jobs Fix rally gate test 2016-11-16 11:26:27 +03:00
releasenotes Merge "dynamic action description" 2017-07-27 12:09:44 +00:00
watcher Merge "Change exception class from monascaclient" 2017-08-07 08:02:22 +00:00
watcher_tempest_plugin Added Actuator Strategy 2017-07-31 10:52:07 +00:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.gitignore Merge "Ignore autogenerated sample config file" 2017-08-02 10:23:15 +00:00
.gitreview fix dependencies version 2015-10-22 16:34:14 +02:00
.mailmap initial version 2015-06-04 15:27:57 +02:00
.testr.conf initial version 2015-06-04 15:27:57 +02:00
CONTRIBUTING.rst Optimize the link address 2017-04-07 10:55:59 +08:00
HACKING.rst Optimize the link address 2017-04-07 10:55:59 +08:00
LICENSE initial version 2015-06-04 15:27:57 +02:00
README.rst Update Documentation link in README 2017-07-04 16:01:07 +03:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Updated from global requirements 2017-08-07 00:56:18 +00:00
setup.cfg Remove pbr warnerrors 2017-08-16 11:54:24 +03:00
setup.py Updated from global requirements 2017-03-07 02:08:03 +00:00
test-requirements.txt Updated from global requirements 2017-07-28 13:02:45 +00:00
tox.ini Remove all sphinx warnings 2017-07-25 07:31:53 +00:00

README.rst

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Watcher

OpenStack Watcher provides a flexible and scalable resource optimization service for multi-tenant OpenStack-based clouds. Watcher provides a robust framework to realize a wide range of cloud optimization goals, including the reduction of data center operating costs, increased system performance via intelligent virtual machine migration, increased energy efficiency-and more!