Resource optimization service for OpenStack.
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Jean-Emile DARTOIS 35a1f0a657 Tidy up - Rename Base
Some Python class and packages need to be renamed
for a better compliance with the shared terminology
which provides a better understanding of Watcher
objects and components by every contributor.

This patchset add missing Base in class name

Partially implements: blueprint glossary-related-refactoring

Change-Id: I95a3e41fbd5fcd90a99d81c9cf278940f50c7732
2015-12-11 14:45:50 +01:00
doc/source Merge "Update the glossary to lay down Watcher terminology" 2015-12-10 08:35:01 +00:00
etc/watcher Removed 'watcher_messaging' to use oslo.messaging 2015-12-01 16:02:03 +01:00
watcher Tidy up - Rename Base 2015-12-11 14:45:50 +01:00
.coveragerc Remove references to removed watcher/openstack directory 2015-12-10 16:13:43 +00:00
.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
README.rst Explained KEYSTONE_SERVICE_PROJECT_NAME variable 2015-11-27 17:41:55 +01:00
requirements.txt add missing keystoneclient dependency 2015-12-02 11:36:15 +00:00
setup.cfg Removed py33, pypy support 2015-12-10 15:53:09 +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 "Remove references to removed watcher/openstack directory" 2015-12-11 08:42:46 +00:00

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!