Resource optimization service for OpenStack.
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Hidekazu Nakamura c03668cb02 [Doc] Add cinder to architecture diagram
Cinder data model was added in Pike cycle.
This patch set adds cinder to architecture diagram.

Change-Id: Ibf590996494f4e6ebcc59b26fbd562d079cea9ef
2017-07-26 21:50:33 +09:00
devstack Fix devstack plugin 2017-07-20 08:48:57 +00:00
doc [Doc] Add cinder to architecture diagram 2017-07-26 21:50:33 +09:00
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 "Cinder model integration" 2017-07-12 14:55:10 +00:00
watcher Merge "Remove all sphinx warnings" 2017-07-26 01:07:44 +00:00
watcher_tempest_plugin Merge "Update the documention for doc migration" 2017-07-25 13:25:42 +00:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.gitignore Remove all sphinx warnings 2017-07-25 07:31:53 +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
babel.cfg 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
requirements.txt Updated from global requirements 2017-07-23 19:11:17 +00:00
setup.cfg Merge "Remove all sphinx warnings" 2017-07-26 01:07:44 +00:00
setup.py Updated from global requirements 2017-03-07 02:08:03 +00:00
test-requirements.txt switch to openstackdocs theme. 2017-06-29 08:50:03 +00:00
tox.ini Remove all sphinx warnings 2017-07-25 07:31:53 +00:00

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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!