Resource optimization service for OpenStack.
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Lance Bragstad 0242d33adb Register default policies in code
This commit registers all policies formally kept in policy.json as
defaults in code. This is an effort to make policy management easier
for operators. More information on this initiative can be found
below:

  https://governance.openstack.org/tc/goals/queens/policy-in-code.html

bp policy-and-docs-in-code

Change-Id: Ibab08f8e1c95b86e08737c67a39c293566dbabc7
2017-12-11 15:19:10 +03:00
devstack Register default policies in code 2017-12-11 15:19:10 +03:00
doc Merge "[Doc] Fix host option" 2017-09-28 02:06:09 +00:00
etc Register default policies in code 2017-12-11 15:19:10 +03:00
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 Register default policies in code 2017-12-11 15:19:10 +03:00
.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
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.testr.conf 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
babel.cfg initial version 2015-06-04 15:27:57 +02:00
requirements.txt Updated from global requirements 2017-09-24 12:31:19 +00:00
setup.cfg Register default policies in code 2017-12-11 15:19:10 +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 Register default policies in code 2017-12-11 15:19:10 +03:00

README.rst

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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!