openstack/watcher
Code Issues Proposed changes
Resource optimization service for OpenStack.
783 Commits 5 Branches 46 Tags 28 MiB
Python 99.7%
Shell 0.3%
3ebe8ab70f
Go to file
Jenkins 3ebe8ab70f Merge "Added Tempest API tests for /scoring_engines"
2016-11-16 21:16:25 +00:00
devstack Update devstack plugin to add notification param 2016-11-16 13:57:25 +01:00
doc Merge "Add audit.planner events" 2016-11-16 16:52:13 +00:00
etc/watcher Add service supervisor 2016-10-12 15:52:06 +03:00
rally-jobs Add rally-jobs folder to get rally support 2016-09-15 12:54:10 +00:00
releasenotes Enable release notes translation 2016-10-06 20:56:44 +02:00
watcher Merge "Implemented base + moved plugins & service conf" 2016-11-16 17:24:45 +00:00
watcher_tempest_plugin Merge "Added Tempest API tests for /scoring_engines" 2016-11-16 21:16:25 +00:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.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
README.rst Update Watcher description 2016-09-19 15:00:00 +02:00
requirements.txt Updated from global requirements 2016-11-15 19:39:39 +00:00
setup.cfg Implemented base + moved plugins & service conf 2016-11-16 17:45:07 +01:00
setup.py Updated from global requirements 2016-02-20 22:02:12 +00:00
test-requirements.txt Updated from global requirements 2016-11-15 19:39:39 +00:00
tox.ini Implemented audit.update notification 2016-11-16 13:59:00 +01:00

README.rst

Watcher

OpenStack Watcher provides a flexible and scalable resource optimization service for multi-tenant OpenStack-based clouds. Watcher 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!