Resource optimization service for OpenStack.
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Gábor Antal 193c1924cc Added LaunchActionPlanCommand's init super call
Added the missing super() call in the LaunchActionPlanCommand class
__init__() method, as it was requested.

Change-Id: I6d8cc7880b1e979f94acd3fdd84e3f6d1a90a032
Closes-Bug: #1520521
2015-11-27 17:46:27 +01:00
doc/source Strategy plugins documentation 2015-11-24 18:02:06 +01:00
etc/watcher Updated the config sample file generation command 2015-11-27 15:46:49 +01:00
watcher Added LaunchActionPlanCommand's init super call 2015-11-27 17:46:27 +01:00
.coveragerc fix dependencies version 2015-10-22 16:34:14 +02:00
.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
babel.cfg initial version 2015-06-04 15:27:57 +02:00
CONTRIBUTING.rst initial version 2015-06-04 15:27:57 +02:00
HACKING.rst Change stackforge to openstack, corrected some heading underlines 2015-10-23 09:17:08 +02:00
LICENSE initial version 2015-06-04 15:27:57 +02:00
MANIFEST.in initial version 2015-06-04 15:27:57 +02:00
openstack-common.conf initial version 2015-06-04 15:27:57 +02:00
README.rst Merge "use https instead of http for doc link" 2015-10-23 10:13:21 +00:00
requirements.txt Updated the config sample file generation command 2015-11-27 15:46:49 +01:00
setup.cfg Integration of Ceilometer in Watcher 2015-11-23 15:29:28 +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 Updated the config sample file generation command 2015-11-27 15:46:49 +01:00

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!