Resource optimization service for OpenStack.
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Vincent Françoise 277a749ca0 Fix lazy translation issue with watcher-db-manage
In this changeset, I fix the issue caused by the use of lazy
translations within the 'watcher-db-manage purge' subcommand.
This is caused by the PrettyTable dependency which performs
addition operations to format its tables and the __add__ magic
method is not supported by oslo_i18n._message.Message objects.

Change-Id: Idd590e882c697957cfaf1849c3d51b52797230f6
Closes-Bug: #1584652
2016-05-23 14:35:17 +02:00
devstack Remove watcher_goals section from devstack plugin 2016-05-11 15:48:09 +02:00
doc/source Merge "Watcher DB class diagram" 2016-05-18 12:36:17 +00:00
etc/watcher Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00
watcher Fix lazy translation issue with watcher-db-manage 2016-05-23 14:35:17 +02:00
watcher_tempest_plugin Removed telemetry tag from tempest tests 2016-05-23 09:22:31 +00:00
.coveragerc Update .coveragerc to ignore abstract methods 2016-04-08 16:59:57 +00:00
.gitignore Remove the watcher sample configuration file 2016-03-21 11:47:29 +01:00
.gitreview fix dependencies version 2015-10-22 16:34:14 +02:00
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HACKING.rst Add Creative Commons Attribution header to documentation 2015-12-20 01:51:00 -06:00
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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 2016-05-21 15:53:55 +00:00
setup.cfg Integrated consolidation strategy with watcher 2016-03-24 12:00:01 +01:00
setup.py Updated from global requirements 2016-02-20 22:02:12 +00:00
test-requirements.txt Added Mixin-related filters on DB queries 2016-03-14 15:46:58 +01:00
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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!