openstack/watcher
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Resource optimization service for OpenStack.
165 Commits 5 Branches 46 Tags 28 MiB
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Change-Id: I3f44def50fbf44fa3cf5c49cc15a98947084c236
2016-01-14 18:42:45 +08:00
devstack Implement DevStack plugin 2016-01-06 17:05:40 +01:00
doc/source Remove incorrect spaces for libvirt_opts value 2016-01-14 07:50:16 +01:00
etc/watcher Add a dynamic loading of the Watcher Planner implementation 2016-01-13 08:26:21 +00:00
watcher Clean up flake8 ignore list 2016-01-14 18:42:45 +08:00
.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 the Watcher Planner implementation 2016-01-13 08:26:21 +00:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Include terminology definition from docstring 2015-12-15 11:38:42 +01:00
tox.ini Clean up flake8 ignore list 2016-01-14 18:42:45 +08:00

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!