Resource optimization service for OpenStack.
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vmahe 8f87699910 Add diagrams to the architecture doc page
Added some data model diagrams, sequence diagrams and state machine
diagrams.
The state machine diagrams and sequence diagrams are built with
PlantUML whereas data model diagrams are built with Dia.
Also added some textual description with the sequence diagrams.

Change-Id: Iffbb47b0f2d12ce63eeaa1531a1bd1a790d69e79
Closes-Bug: #1531802
2016-01-20 07:23:03 +01:00
devstack Implement DevStack plugin 2016-01-06 17:05:40 +01:00
doc/source Add diagrams to the architecture doc page 2016-01-20 07:23:03 +01:00
etc/watcher Add a dynamic loading of the Watcher Planner implementation 2016-01-13 08:26:21 +00:00
watcher Merge "Remove shadow BaseException class" 2016-01-21 08:10:55 +00:00
.coveragerc Remove pragma no cover from code 2015-12-15 10:14:40 +01:00
.gitignore consolidation of watcher 2015-10-22 17:04:14 +02:00
.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 missing keystoneclient dependency 2015-12-02 11:36:15 +00:00
setup.cfg Add a dynamic loading of Actions handlers in the Watcher Applier 2016-01-15 16:08:18 +01:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Changed testr to os-testr 2016-01-13 00:30:09 +00:00
tox.ini Merge "Clean up flake8 ignore list" 2016-01-18 13:42:00 +00:00

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!