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dengzhaosen b215cba9de Add py39 to tox.ini

Yoga testing runtime has been updated to add py39
testing as voting. This commit updates the classifier
in setup.cfg file.

Change-Id: I291929390e5f9513243c5a138548451019e64fbb

2021-12-24 09:58:09 +08:00

api-ref/source

change the api-ref of the venus doc

2021-12-23 14:52:01 +08:00

devstack

fluentd support glance logs collect

2021-12-23 11:22:39 +08:00

doc

delete useless file on doc

2021-12-22 20:21:47 +08:00

etc/venus

delete mysql storage and use config file store data

2021-05-11 14:40:14 +08:00

releasenotes

fix the project name error on doc

2021-12-22 20:03:38 +08:00

tools/config

Initialize the Venus project

2020-11-11 08:19:55 +00:00

venus

remove useless code

2021-10-13 14:23:05 +08:00

.gitignore

Add devstack support

2021-03-16 09:33:36 +08:00

.gitreview

gerrit storge from inspur to openstack

2021-10-20 14:33:57 +08:00

.zuul.yaml

zuul:Add docs zuul task

2021-11-16 15:59:50 +08:00

CONTRIBUTING.rst

fix the spelling mistake

2020-12-17 14:07:31 +08:00

HACKING.rst

remove six in HACKING.rst

2021-01-07 10:18:54 +08:00

LICENSE

Initialize the Venus project

2020-11-11 08:19:55 +00:00

MANIFEST.in

remove unused description on MANIFEST.in

2021-12-21 14:56:42 +08:00

README.bak.rst

Rename readme file

2020-11-20 07:38:37 +00:00

README.rst

Hello Venus

2020-11-25 01:11:18 +00:00

requirements.txt

zuul:Add docs zuul task

2021-11-16 15:59:50 +08:00

setup.cfg

Merge "Fix where long_description_content_type is placed"

2021-12-21 00:57:48 +00:00

setup.py

Initialize the Venus project

2020-11-11 08:19:55 +00:00

test-requirements.txt

Initialize the Venus project

2020-11-11 08:19:55 +00:00

tox.ini

Add py39 to tox.ini

2021-12-24 09:58:09 +08:00

README.rst

Hello Venus

An OpenStack Log Management Service.

About Venus

In light of the problems and needs of retrieval, storage and analysis etc. of logs on the OpenStack platform, we developed the OpenStack log management module Venus.

This project can provide a one-stop solution to log collection, cleaning, indexing, analysis, alarm, visualization, report generation and other needs, which involves helping operator or maintainer to quickly solve retrieve problems, grasp the operational health of the platform, and improve the level of platform management.

Additionally, this project plans to use machine learning algorithms to quickly locate IT failures and root causes, and improve operation and maintenance efficiency.