openstack/watcher
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Resource optimization service for OpenStack.
122 Commits 10 Branches 42 Tags 27 MiB
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Gábor Antal 35a5ba1cd0 Remove *.pyc files before running tox tests 
Modified tox.ini to remove any .pyc file before running tests.
Also, now it removes all the __pycache__ folders which was also
in the bug report.

Change-Id: I2f60751b155f8098b746339c12406b934bcdbcf9
Closes-Bug: #1525852
2015-12-17 11:59:54 +01:00
doc/source Include terminology definition from docstring 2015-12-15 11:38:42 +01:00
etc/watcher Removed 'watcher_messaging' to use oslo.messaging 2015-12-01 16:02:03 +01:00
watcher Merge "Removed duplicated function prepare_service()" 2015-12-16 10:41:32 +00:00
.coveragerc Remove pragma no cover from code 2015-12-15 10:14:40 +01:00
.gitignore consolidation of watcher 2015-10-22 17:04:14 +02:00
.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 Apache license header to all rst documentation 2015-12-09 08:34:53 -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 Add Apache license header to all rst documentation 2015-12-09 08:34:53 -06:00
requirements.txt add missing keystoneclient dependency 2015-12-02 11:36:15 +00:00
setup.cfg Include terminology definition from docstring 2015-12-15 11:38:42 +01:00
setup.py initial version 2015-06-04 15:27:57 +02:00
test-requirements.txt Include terminology definition from docstring 2015-12-15 11:38:42 +01:00
tox.ini Remove *.pyc files before running tox tests 2015-12-17 11:59:54 +01:00

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!