Resource optimization service for OpenStack.
Go to file
Alexander Chadin 1de00086f5 Add continuously optimization
This patch set adds implementation for CONTINUOUS type
of audit.

Change-Id: I5f4ec97b2082c8a6b3ccebe36b2a343fa4a67d19
Implements: blueprint continuously-optimization
2016-07-07 19:17:17 +03:00
devstack Remove watcher_goals section from devstack plugin 2016-05-11 15:48:09 +02:00
doc/source Add continuously optimization 2016-07-07 19:17:17 +03:00
etc/watcher Add policies for API access control to watcher project. 2016-07-06 17:38:44 +08:00
releasenotes Use proper theme for release notes 2016-06-15 10:12:29 +02:00
watcher Add continuously optimization 2016-07-07 19:17:17 +03:00
watcher_tempest_plugin Merge "Fix field type to audit_type" 2016-07-07 08:57:44 +00:00
.coveragerc Update .coveragerc to ignore abstract methods 2016-04-08 16:59:57 +00:00
.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
.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 Update Docs links to docs.openstack.org 2016-06-29 19:46:11 +00:00
requirements.txt Add continuously optimization 2016-07-07 19:17:17 +03:00
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 Updated from global requirements 2016-06-24 03:19:28 +00:00
tox.ini Add bandit in tox -e pep8 2016-06-20 19:03:02 -05:00

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!