venus-specs/priorities/xena-priorities.rst
songwenping d8de815044 Fix typo errors
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Xena Cycle Themes

PTG: https://etherpad.opendev.org/p/venus-xena-ptg

Introduction

Venus is the OpenStack project that provides a one-stop solution for log collection, indexing, analysis, alerting, visualization, report generation and other needs. Additionally, this project plans to use machine learning algorithms to quickly locate failures and root causes, to improve operation and maintenance efficiency.

TODO

Sign up(deadline March 25th): next PTL's task because "Who will be moderating their discussions?" is one of the question of the survey https://openinfrafoundation.formstack.com/forms/april2021_vptg_survey https://ethercalc.net/oz7q0gds9zfi

Background

Its difficult to retrieve logs, since there are many modules in the platform, e.g. systems service, compute, storage, network and other platform services. Because of distributed and interaction between components of the cloud platform, and scattered logs between components, it will take more time to locate problems.

Current function ============

Provide a simple and easy-to-use way to retrieve all log and the context . Realize log association, field value statistics, and provide multi-scene and multi-dimensional visual analysis reports.

Current progress ============

Develop devstack-based deployment for venus Add log retrieval of other modules such as vitrage Develop the configuration, based on which you can retrieve the chain log of the call

Next step

Develop alarm task code to set threshold for the number of error logs of different modules at different times, and provides alarm services and notification services The configuration, analysis and alarm of Venus will be integrated into horizon in the form of plugin. Develop a deployment method based on kolla-ansible Evaluate whether to collect event data (considering usage, pressure, etc.) Summarize the log specifications of some typical scenarios and develop them to venus

Problem

Many projects's log records are not standardized, so they can only support full-text retrieval, not multi-dimensional analysis