openstack
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watcher
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Resource optimization service for OpenStack.
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Steve Wilkerson a4bbe7f893 Add Creative Commons Attribution header to documentation 
Changed the header in the documentation to reflect that the docs
are covered under the CCBY 3.0 license.

Change-Id: I29f3f1a2491c28b1a4ee12a7b97a7ab00c919867
Closes-Bug: 1526331
 		2015-12-20 01:51:00 -06:00
doc/source Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
etc/watcher Removed 'watcher_messaging' to use oslo.messaging 2015-12-01 16:02:03 +01:00
watcher Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
.coveragerc Remove pragma no cover from code 2015-12-15 10:14:40 +01:00
.gitignore consolidation of watcher 2015-10-22 17:04:14 +02:00
.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 Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt add missing keystoneclient dependency 2015-12-02 11:36:15 +00:00
setup.cfg Tidy up - Watcher Decision Engine package 2015-12-14 14:33:56 +01:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Update requirements from OS Global Requirements. 2015-11-24 15:56:53 +01:00
tox.ini Merge "Removed H404, H405, H305 ignore in pep8" 2015-12-14 10:12:37 +00:00

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!