Metadata-Version: 2.1
Name: gnocchi
Version: 4.4.1.dev139
Summary: Metric as a Service
Home-page: http://gnocchi.osci.io
Author: Gnocchi developers
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: System :: Monitoring
Description-Content-Type: text/x-rst
Provides-Extra: amqp1
Provides-Extra: ceph
Provides-Extra: ceph_alternative
Provides-Extra: doc
Provides-Extra: keystone
Provides-Extra: mysql
Provides-Extra: postgresql
Provides-Extra: prometheus
Provides-Extra: redis
Provides-Extra: s3
Provides-Extra: swift
Provides-Extra: test
Provides-Extra: test-swift
License-File: LICENSE
License-File: AUTHORS

===============================
 Gnocchi - Metric as a Service
===============================

.. image:: https://badge.fury.io/py/gnocchi.svg
    :target: https://badge.fury.io/py/gnocchi

.. image:: doc/source/_static/gnocchi-logo.png

Gnocchi is an open-source time series database.

The problem that Gnocchi solves is the storage and indexing of time series
data and resources at a large scale. This is useful in modern cloud platforms
which are not only huge but also are dynamic and potentially multi-tenant.
Gnocchi takes all of that into account.

Gnocchi has been designed to handle large amounts of aggregates being stored
while being performant, scalable and fault-tolerant. While doing this, the goal
was to be sure to not build any hard dependency on any complex storage system.

Gnocchi takes a unique approach to time series storage: rather than storing
raw data points, it aggregates them before storing them. This built-in feature
is different from most other time series databases, which usually support
this mechanism as an option and compute aggregation (average, minimum, etc.) at
query time.

Because Gnocchi computes all the aggregations at ingestion, getting the data
back is extremely fast, as it just needs to read back the pre-computed results.

You can read the full documentation online at http://gnocchi.osci.io.


