3bdfaeb67e
currently, we are passing in the full unaggregated timeserie when we update each of the aggregates for each granularity. this is incorrect as the unaggregated timeserie corresponds to the largest granularity of the metric. this means that for smaller granularities, we are updating and resampling points that are already aggregated and not affected by new incoming measures. Change-Id: I687c2a18b332494f5c5cb7fdfe6f2b3d1e8de804 Closes-Bug: #1562820 |
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devstack | ||
doc/source | ||
etc/gnocchi | ||
gnocchi | ||
tools | ||
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.gitreview | ||
.testr.conf | ||
LICENSE | ||
MANIFEST.in | ||
README.rst | ||
gnocchi-config-generator.conf | ||
requirements.txt | ||
run-tests.sh | ||
setup-test-env.sh | ||
setup.cfg | ||
setup.py | ||
tox.ini |
README.rst
Gnocchi - Metric as a Service
Gnocchi is a multi-tenant timeseries, metrics and resources database. It provides an HTTP REST interface to create and manipulate the data. It is designed to store metrics at a very large scale while providing access to metrics and resources information to operators and users.
Gnocchi is part of the OpenStack project. While Gnocchi has support for OpenStack, it is fully able to work stand-alone.
You can read the full documentation online at http://gnocchi.xyz.