openstack
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watcher
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Resource optimization service for OpenStack.
156 Commits 9 Branches 38 Tags 27 MiB
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Steve Wilkerson ae949148ef Renamed diskInfo.py 
Renamed diskInfo.py to disk_info.py and the associated test to
test_disk_info.  Also changed the usage in the test to reflect
the name change.

Closes-bug: #1533189

Change-Id: Ice63cf8ea6cd4fcc770f88952cf784e5d46cca5c
 		2016-01-14 07:59:55 -06:00
devstack Implement DevStack plugin 2016-01-06 17:05:40 +01:00
doc/source Implement DevStack plugin 2016-01-06 17:05:40 +01:00
etc/watcher Code refactoring - StrategyContext and Auditendpoint 2015-12-18 14:25:07 +00:00
watcher Renamed diskInfo.py 2016-01-14 07:59:55 -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 outlet Temperature based migration strategy 2015-12-28 21:29:08 +00:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Include terminology definition from docstring 2015-12-15 11:38:42 +01:00
tox.ini Remove *.pyc files before running tox tests 2015-12-17 11:59:54 +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!