openstack/watcher
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Resource optimization service for OpenStack.
1,142 Commits 5 Branches 46 Tags 28 MiB
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Change-Id: I0afedfa82bc1c91d40e42f21fdcd90eccc0faacf
2017-06-26 17:30:19 +05:30
devstack Merge "Fix devstack plugin" 2017-05-02 18:36:27 +00:00
doc Versioned Notifications for service object 2017-05-25 12:52:01 +03:00
etc Run Watcher-API behind mod-wsgi 2017-04-01 19:03:17 +05:30
install-guide/source Watcher official install-guide 2017-05-31 08:40:27 +00:00
rally-jobs Fix rally gate test 2016-11-16 11:26:27 +03:00
releasenotes Merge "Add action for compute node power on/off" 2017-06-21 09:59:13 +00:00
watcher Merge "fix Keyerror in test_nova_cdmc" 2017-06-24 03:41:26 +00:00
watcher_tempest_plugin fix multinode tempest test failure 2017-06-07 11:56:23 +08:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.gitignore Update .gitignore 2017-06-26 17:30:19 +05:30
.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 Optimize the link address 2017-04-10 11:59:19 +05:30
requirements.txt Updated from global requirements 2017-06-19 21:15:54 +00:00
setup.cfg Add action for compute node power on/off 2017-06-13 15:07:33 +08:00
setup.py Updated from global requirements 2017-03-07 02:08:03 +00:00
test-requirements.txt Updated from global requirements 2017-06-06 06:14:58 +00:00
tox.ini Enable some off-by-default checks 2017-06-23 17:35:08 +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!