Resource optimization service for OpenStack.
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Vincent Françoise 45801cf9c5 Documentation on goal and efficacy
In this changeset, I wrote a documentation detailing how one can
implement a new goal plugin. I also mention to define the efficacy
specification for a given goal.

Partially Implements: blueprint efficacy-indicator

Change-Id: Iba267ae312f248b49d4600504f11678cdc225622
2016-06-10 17:08:28 +02:00
devstack Remove watcher_goals section from devstack plugin 2016-05-11 15:48:09 +02:00
doc/source Documentation on goal and efficacy 2016-06-10 17:08:28 +02:00
etc/watcher Added missing config section for autogeneration 2016-06-06 17:47:13 +02:00
watcher Documentation on goal and efficacy 2016-06-10 17:08:28 +02:00
watcher_tempest_plugin Decoupled Goal from Strategy 2016-06-08 14:00:43 +02:00
.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
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 Removing unicode from README.rst 2016-03-08 17:07:53 -06:00
requirements.txt Updated from global requirements 2016-06-03 18:21:04 +00:00
setup.cfg Decoupled Goal from Strategy 2016-06-08 14:00:43 +02:00
setup.py Updated from global requirements 2016-02-20 22:02:12 +00:00
test-requirements.txt Updated from global requirements 2016-06-03 18:21:04 +00:00
tox.ini Remove the watcher sample configuration file 2016-03-21 11:47:29 +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!