openstack
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watcher
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Resource optimization service for OpenStack.
361 Commits 9 Branches 38 Tags 27 MiB
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Larry Rensing 408d6d4650 Removed unused 'alarm' field 
The 'alarm' field is currently unused, so it has been removed.

Change-Id: I02fa15b06ed49dbc5dd63de54a9cde601413983c
Closes-Bug: #1550261
 		2016-04-18 14:12:12 +00:00
devstack Upgrade Watcher Tempest tests for multinode 2016-04-11 16:49:10 +02:00
doc/source Merge "Invalid states for Action Plan in the glossary" 2016-04-05 07:27:12 +00:00
etc/watcher Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00
watcher Removed unused 'alarm' field 2016-04-18 14:12:12 +00:00
watcher_tempest_plugin Upgrade Watcher Tempest tests for multinode 2016-04-11 16:49:10 +02:00
.coveragerc Update .coveragerc to ignore abstract methods 2016-04-08 16:59:57 +00:00
.gitignore Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00
.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
MANIFEST.in initial version 2015-06-04 15:27:57 +02:00
README.rst Removing unicode from README.rst 2016-03-08 17:07:53 -06:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Updated from global requirements 2016-04-07 17:25:39 +00:00
setup.cfg Integrated consolidation strategy with watcher 2016-03-24 12:00:01 +01:00
setup.py Updated from global requirements 2016-02-20 22:02:12 +00:00
test-requirements.txt Added Mixin-related filters on DB queries 2016-03-14 15:46:58 +01:00
tox.ini Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00

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!