Resource optimization service for OpenStack.
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Vincent Françoise de307e536e GET on an action_plan provides first_action_uuid
Whenever trying to get the first action related to a given action
plan, we were getting back a 'null' value from the API even though
we knew there were actions to be linked to it in the DB.
So I fixed this issue and added a related unit test.

Change-Id: I1fa755f24fbf37ecd6ce2cc2396658fca8743a1c
Closes-Bug: #1538130
2016-01-27 09:38:15 +01:00
devstack Implement DevStack plugin 2016-01-06 17:05:40 +01:00
doc/source Merge "Add 'workers' section into configuration doc" 2016-01-25 16:27:48 +00:00
etc/watcher Use taskflow library for building and executing action plans 2016-01-21 18:13:42 +01:00
watcher GET on an action_plan provides first_action_uuid 2016-01-27 09:38:15 +01:00
watcher_tempest_plugin Fixed tempest test bug 2016-01-26 09:17:39 +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
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
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Use taskflow library for building and executing action plans 2016-01-21 18:13:42 +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 Added doc8 2016-01-22 15:56:47 +01:00
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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!