openstack/watcher
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Resource optimization service for OpenStack.
274 Commits 5 Branches 46 Tags 28 MiB
Python 99.7%
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David TARDIVEL 6ed417e6a7 add Goal into RESTful Web API (v1) documentation 
Change-Id: I94ba5debf6f0ff9562dc95cbc5c646f33881d9e2
Closes-Bug: #1546630
2016-03-03 16:02:56 +00:00
devstack Remove KEYSTONE_CATALOG_BACKEND from DevStack plugin 2016-02-12 09:51:51 -06:00
doc/source add Goal into RESTful Web API (v1) documentation 2016-03-03 16:02:56 +00:00
etc/watcher Sync with openstack/requirements master branch 2016-02-09 16:31:07 +00:00
watcher Merge "Pass parameter to the query in get_last_sample_values" 2016-02-19 10:24:36 +00:00
watcher_tempest_plugin Better cleanup for Tempest tests 2016-02-11 18:36:16 +01:00
.coveragerc Remove pragma no cover from code 2015-12-15 10:14:40 +01:00
.gitignore Fix 'Module index' broken HTTP link 2016-01-22 12:58:53 +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
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 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
requirements.txt Add Voluptuous to validate the action parameters 2016-02-12 17:47:52 +01:00
setup.cfg Fix 'Module index' broken HTTP link 2016-01-22 12:58:53 +01:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Sync with openstack/requirements master branch 2016-02-09 16:31:07 +00:00
tox.ini Sync with openstack/requirements master branch 2016-02-09 16:31:07 +00:00

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!