openstack
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watcher
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Resource optimization service for OpenStack.
467 Commits 9 Branches 37 Tags 27 MiB
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Tin Lam 4fc3307525 Add bandit in tox -e pep8 
Add bandit tox environment and amend pep8 env to run it.
Also, fix bandit errors with "0.0.0.0".

Change-Id: Ieb5785abd945663e07c07f0ddd3d9a074004f46a
Closes-Bug: #1594423
 		2016-06-20 19:03:02 -05:00
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
releasenotes Use proper theme for release notes 2016-06-15 10:12:29 +02:00
watcher Add bandit in tox -e pep8 2016-06-20 19:03:02 -05:00
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 Add reno for release notes management 2016-06-09 11:01:20 +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
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
babel.cfg initial version 2015-06-04 15:27:57 +02:00
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 Add bandit in tox -e pep8 2016-06-20 19:03:02 -05:00
tox.ini Add bandit in tox -e pep8 2016-06-20 19:03:02 -05:00

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!