基于ELK的Apache日志实时分析系统探索与分析模型研究  

Exploration and Analysis Model Research of Apache Log Real-time Analysis System Based on ELK

作　　者：阮晓龙[1] 张浩林 RUAN Xiao-long;ZHANG Hao-lin(School of information technology,Henan University of traditional Chinese Medicine,Zhengzhou 450000,China;Zhengzhou Tailai Information Technology Co.,Ltd.,Zhengzhou 450008,China)

机构地区：[1]河南中医药大学信息技术学院,河南郑州450046 [2]郑州祺石信息技术有限公司,河南郑州450000

出　　处：《电脑与信息技术》2020年第1期54-57,共4页Computer and Information Technology

摘　　要：Web日志详细地记录了Web服务器的运行情况,可从其中了解Web服务器运行性能和访问行为,全面分析Web日志可有效改善Web服务器结构,提升Web服务器性能,并可从其中识别用户行为,提升Web服务核心竞争力。文章从Apache日志角度出发,以ELK为基础构建了集中式的日志实时分析系统,通过对数据采集、清洗、格式化、分析、可视化等步骤创建实时日志分析模型,为网站管理决策提供科学依据。With the continuous deepening of informatization construction,the problem of efficient and accurate detection of abnormal equipment business has caused widespread concern.Traditional fault early warning detection methods have poor universality,unclear warning information,and lack of pertinence.According to the current problems encountered,by analyzing the service running status of the equipment and the characteristics of monitoring statistics,the classification and aggregation methods are applied to the equipment business fault early warning detection,and a device service fault classification detection and early warning aggregation analysis mode is designed.It is based on the three-level detection model of message,data and real-time detection.The early warning detection is based on the early warning rule model after aggregation.

关 键 词：Apache日志 ELK 数据分析 构建模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]