openstack
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watcher
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Resource optimization service for OpenStack.
1,015 Commits 9 Branches 39 Tags 27 MiB
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Yumeng_Bao fc33e181fc oslo messaging notifications driver update 
Replace "messaging" with "messagingv2".

Change-Id: Iab53b5ba8cd58a0655dc35489081fb22d5834363
 		2017-04-01 18:34:34 +08:00
devstack oslo messaging notifications driver update 2017-04-01 18:34:34 +08:00
doc Merge "Add period input parameter to vm workload consolidation and outlet temp control strategy." 2017-03-27 22:46:07 +00:00
etc/watcher Modify the field in tox.ini 2017-01-17 18:01:56 +08:00
rally-jobs Fix rally gate test 2016-11-16 11:26:27 +03:00
releasenotes Merge "stale the action plan" 2017-03-27 22:46:30 +00:00
watcher Merge "Use HostAddressOpt for opts that accept IP and hostnames" 2017-03-29 12:05:35 +00:00
watcher_tempest_plugin Local copy of scenario test base class 2017-03-17 17:31:46 +00:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.gitignore Add Desktop Service Store to .gitignore file 2016-07-07 11:05:56 +03:00
.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 initial version 2015-06-04 15:27:57 +02:00
HACKING.rst Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
LICENSE initial version 2015-06-04 15:27:57 +02:00
README.rst Show team and repo badges on README 2016-11-25 17:21:54 +01:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Updated from global requirements 2017-03-29 13:44:56 +00:00
setup.cfg Remove support for py34 2017-02-08 11:09:30 +07:00
setup.py Updated from global requirements 2017-03-07 02:08:03 +00:00
test-requirements.txt Updated from global requirements 2017-03-07 02:08:03 +00:00
tox.ini Remove log translations 2017-03-24 09:46:19 +08:00

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!