Resource optimization service for OpenStack.
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Joe Cropper ea01031268 Rename (pre/post)condition to (pre/post)_condition
This patch updates the applier's abstract methods to be consistent
with other abstract methods of similar nature.

Also included are a few other miscellaneous changes.

Change-Id: Ia1527c00332011412aba2ab326ec986f1e773001
Closes-bug: 1606634
2016-08-08 08:25:41 -05:00
devstack Optimize local.conf.controller file to enable watche-dashboard 2016-07-08 10:06:10 +08:00
doc/source Refactored the compute model and its elements 2016-08-03 12:10:43 +02:00
etc/watcher Add scoring engines to database and API layers 2016-08-01 12:40:33 +00:00
releasenotes Use proper theme for release notes 2016-06-15 10:12:29 +02:00
watcher Rename (pre/post)condition to (pre/post)_condition 2016-08-08 08:25:41 -05:00
watcher_tempest_plugin Implement goal_id, strategy_id and host_aggregate into Audit api 2016-07-28 20:12:52 -04:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.gitignore Add Desktop Service Store to .gitignore file 2016-07-07 11:05:56 +03:00
.gitreview fix dependencies version 2015-10-22 16:34:14 +02:00
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HACKING.rst Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
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MANIFEST.in initial version 2015-06-04 15:27:57 +02:00
README.rst Update Docs links to docs.openstack.org 2016-06-29 19:46:11 +00:00
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requirements.txt Updated from global requirements 2016-08-04 02:43:22 +00:00
setup.cfg Update the home-page info with the developer documentation 2016-08-04 06:11:42 +00:00
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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!