Resource optimization service for OpenStack.
Go to file
Jenkins 3d398b4d22 Merge "Documentation for plugins-parameters" 2016-05-30 09:41:53 +00:00
devstack Remove watcher_goals section from devstack plugin 2016-05-11 15:48:09 +02:00
doc/source Documentation for plugins-parameters 2016-05-30 10:28:29 +02:00
etc/watcher Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00
watcher Merge "Watcher plugins table in Guru meditation reports" 2016-05-30 09:41:49 +00:00
watcher_tempest_plugin Merge "Add goal_name & strategy_name in /audit_templates" 2016-05-27 15:51:14 +00:00
.coveragerc Update .coveragerc to ignore abstract methods 2016-04-08 16:59:57 +00:00
.gitignore Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00
.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 Removing unicode from README.rst 2016-03-08 17:07:53 -06:00
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Merge "Add Overload standard deviation strategy" 2016-05-30 07:10:17 +00:00
setup.cfg Workload balance migration strategy implementation 2016-05-30 07:52:05 +00:00
setup.py Updated from global requirements 2016-02-20 22:02:12 +00:00
test-requirements.txt Updated from global requirements 2016-05-26 17:07:34 +00:00
tox.ini Remove the watcher sample configuration file 2016-03-21 11:47:29 +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!