===============================
Gnocchi - Metric as a Service
===============================
.. image:: https://travis-ci.org/gnocchixyz/gnocchi.png?branch=master
:target: https://travis-ci.org/gnocchixyz/gnocchi
:alt: Build Status
.. 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.xyz.
Gnocchi - Metric as a Service
===============================
.. image:: https://travis-ci.org/gnocchixyz/gnocchi.png?branch=master
:target: https://travis-ci.org/gnocchixyz/gnocchi
:alt: Build Status
.. 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.xyz.
3 maintainers
Metadata
3 maintainers
Release files for gnocchi 4.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gnocchi-4.2.4.tar.gz | 931.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gnocchi-4.2.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 1.2 MB
Release files / gnocchi-4.2.4.tar.gz
| Download URL | gnocchi-4.2.4.tar.gz |
|---|---|
| Size | 931.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / gnocchi-4.2.4-py2.py3-none-any.whl
| Download URL | gnocchi-4.2.4-py2.py3-none-any.whl |
|---|---|
| Size | 285.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
22fe8ab5ef1d09fddbcb943ed07f1c56c15443bda9c525200348e20ec3cd6849
|
|
BLAKE2b-256 checksum How to use checksums |
2df613af1b2f142aa83906c0a81fd824bd57614c3849d48b32cf2ac4325ec52a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
