openstack/venus-specs
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Fix typo errors

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Change-Id: I3af86e6feb4080fa9946a196559f7b371f51e8d2
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songwenping 2021-12-25 20:59:15 +08:00
parent ae09d838a9
commit d8de815044
1 changed files with 4 additions and 4 deletions
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priorities/xena-priorities.rst
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@ -10,7 +10,7 @@ Introduction
Venus is the OpenStack project that provides a one-stop solution for Venus is the OpenStack project that provides a one-stop solution for
log collection, indexing, analysis, alerting, visualization, report generation log collection, indexing, analysis, alerting, visualization, report generation
and other needs. Additionally, this project plans to use machine learning and other needs. Additionally, this project plans to use machine learning
algorithms to quickly locate failures and root causes, to improve algorithms to quickly locate failures and root causes, to improve
operation and maintenance efficiency. operation and maintenance efficiency.
@ -37,8 +37,8 @@ Realize log association, field value statistics, and provide multi-scene and mul
Current progress Current progress
============ ============
Develop devstack-based depAdd log retrieval of other modules such as vitrage Develop devstack-based deployment for venus
loyment 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 Develop the configuration, based on which you can retrieve the chain log of the call
@ -51,6 +51,6 @@ Develop a deployment method based on kolla-ansible
Evaluate whether to collect event data (considering usage, pressure, etc.) Evaluate whether to collect event data (considering usage, pressure, etc.)
Summarize the log specifications of some typical scenarios and develop them to venus Summarize the log specifications of some typical scenarios and develop them to venus
Promblem Problem
============ ============
Many projects's log records are not standardized, so they can only support full-text retrieval, not multi-dimensional analysis Many projects's log records are not standardized, so they can only support full-text retrieval, not multi-dimensional analysis