Resource optimization service for OpenStack.
Go to file
Gábor Antal f0b58f8c27 Removed duplicated function prepare_service()
The prepare_service() function is defined both in watcher/service.py
and in watcher/common/service.py.

These 2 needed to be merged into a single one
to avoid code duplication.

At the same time, the watcher/service.py only contains this function,
so I removed that file.

Change-Id: I0c935dfcd011bee9597315752dae8668221c53f9
Closes-Bug: #1525842
2015-12-15 19:14:52 +01:00
doc/source Merge "Add Apache license header to all rst documentation" 2015-12-14 10:43:37 +00:00
etc/watcher Removed 'watcher_messaging' to use oslo.messaging 2015-12-01 16:02:03 +01:00
watcher Removed duplicated function prepare_service() 2015-12-15 19:14:52 +01:00
.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 Apache license header to all rst documentation 2015-12-09 08:34:53 -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 Apache license header to all rst documentation 2015-12-09 08:34:53 -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 Internationalization (i18n) - Enable French locale 2015-12-15 17:57:10 +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!