基于Docker和Kubernetes的ELK日志分析系统的研究与实现  

Research and Implementation of ELK Log Analysis System Based on Docker and Kubernetes

作　　者：雷惊鹏[1] 唐雅文 颜世波[1] 王胜[1] LEI Jingpeng;TANG Yawen;YAN Shibo;WANG Sheng(College of Information Technology,Anhui Vocational College of Defense Technology,,Lu'an 237011,China;Information Technology Center,Jinjiang Hotel(China),Shanghai 110934,China)

机构地区：[1]安徽国防科技职业学院信息技术学院,安徽六安237011 [2]锦江酒店(中国区)信息技术中心,上海110934

出　　处：《太原学院学报（自然科学版）》2021年第2期61-67,共7页Journal of TaiYuan University:Natural Science Edition

基　　金：安徽省2018年度高校自然科学研究重大项目(KJ2018ZD066);安徽省2017年度高校优秀拔尖人才培育资助项目(gxyq2017182)。

摘　　要：分析Web日志对溯源用户访问情况、监控Web服务运行状态十分重要。大数据环境下,日志处理的效率更加值得关注和研究。探讨ELK架构及工作原理,并基于Docker和Kubernetes环境部署ELK系统,建立相应的针对Nginx服务器日志收集、存储、处理以及可视化展示平台,实现对日志的实时采集与显示。实验结果验证了该方案的可行性,在提高日志分析系统的简便性、可扩展性、实时性、可读性等方面具有一定优势,能有效改善运维效率,减轻运维压力。Analysis of Web logs is very important for tracing the access of source users and monitoring the running status of Web services.In the big data environment,the efficiency of log processing is more worthy of attention and research.This paper discusses the ELK architecture and working principle,deploys ELK system in the docker and kubernetes environment,establishes the corresponding platform for log collection,storage,processing and visualization of Nginx server,and realizes the real-time collection and display of logs.The experimental results verify the feasibility of the scheme,which has certain advantages in improving the simplicity,scalability,real-time and readability of the log analysis system.The feasibility can also effectively improve the operation and maintenance efficiency and reduce the pressure on operation and maintenance.

关 键 词：日志分析 容器 集群 DOCKER ELK 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]