Resource optimization service for OpenStack.
Go to file
melissaml e4f4588e69 cleanup test-requirements
python-subunit is not used directly anywhere
and it is dependency of both testrepository
and os-testr
(probably was used by some tox wrapper script before)

Change-Id: I89279430554bc522817c4e2685afef0d95c641dd
2017-09-24 04:40:32 +08:00
devstack Fix to use . to source script files 2017-08-29 18:01:09 +08:00
doc Correct the link for watcher cli 2017-09-20 22:17:18 +08:00
etc Remove all sphinx warnings 2017-07-25 07:31:53 +00:00
rally-jobs Update the documentation link for doc migration 2017-08-25 16:58:31 +08:00
releasenotes Merge "workload balance base on cpu or ram util" 2017-08-15 08:37:58 +00:00
watcher Update the documentation link for doc migration 2017-09-18 09:19:33 +00:00
.coveragerc Loadable Cluster Data Model Collectors 2016-08-02 12:07:35 +02:00
.gitignore Merge "Ignore autogenerated sample config file" 2017-08-02 10:23:15 +00:00
.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 Optimize the link address 2017-04-07 10:55:59 +08:00
HACKING.rst Optimize the link address 2017-04-07 10:55:59 +08:00
LICENSE initial version 2015-06-04 15:27:57 +02:00
README.rst Update Documentation link in README 2017-07-04 16:01:07 +03:00
requirements.txt Updated from global requirements 2017-09-16 23:26:49 +00:00
setup.cfg Remove watcher_tempest_plugin 2017-08-21 17:41:56 +03:00
setup.py Updated from global requirements 2017-03-07 02:08:03 +00:00
test-requirements.txt cleanup test-requirements 2017-09-24 04:40:32 +08:00
tox.ini Remove all sphinx warnings 2017-07-25 07:31:53 +00:00

Team and repository tags

image

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!