openstack
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watcher
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Resource optimization service for OpenStack.
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Change-Id: I4be05f662fee6ebdf721ac93dd97611b5a686273
 		2016-09-28 15:29:30 +00:00
devstack Notification and CDM partial update 2016-08-26 17:46:48 +02:00
doc/source Doc updates 2016-09-28 15:29:30 +00:00
etc/watcher Add scoring engines to database and API layers 2016-08-01 12:40:33 +00:00
rally-jobs Add rally-jobs folder to get rally support 2016-09-15 12:54:10 +00:00
releasenotes Add release notes for Newton blueprints 2016-08-29 12:56:02 +02:00
watcher Fixed GMR configuration issue 2016-09-21 13:49:39 +00:00
watcher_tempest_plugin Fixed Tempest test due to notification issues 2016-09-09 16:03:12 +02:00
.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 Update .gitreview for stable/newton 2016-09-16 15:02:51 +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
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MANIFEST.in initial version 2015-06-04 15:27:57 +02:00
README.rst Update Docs links to docs.openstack.org 2016-06-29 19:46:11 +00:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Updated from global requirements 2016-09-20 13:17:37 +00:00
setup.cfg Add Scoring Module implementation 2016-08-26 07:13:39 +00:00
setup.py Updated from global requirements 2016-02-20 22:02:12 +00:00
test-requirements.txt Updated from global requirements 2016-08-18 05:58:34 +00:00
tox.ini Add constraint target to tox.ini and remove 1 dep 2016-09-21 12:03:50 +02:00

README.rst

Watcher

OpenStack Watcher provides a flexible and scalable resource optimization service for multi-tenant OpenStack-based clouds. Watcher provides a complete optimization loop-including everything from a metrics receiver, complex event processor and profiler, optimization processor and an action plan applier. This 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!