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README
Apache-2.0

docker-elk

介绍

基于 Docker 快速搭建 ELK 日志管理平台

项目结构

image-20220329162815050

软件架构

  1. 基于 Docker 开源项目搭建应用,实现了应用容器化,帮助开发者快速打包部署容器化应用。
  2. 基于 ELK 搭建一套完整的日志管理平台,其中:
    • E(Elasticsearch):Elasticsearch 是一个实时的分布式开放源代码全文本搜索和分析引擎。 相较于传统的sql查询语句而言,该搜索引擎具有跨平台性、实时性、分布式等优点。
      • Elasticsearch 是基于 Java 开发的,这使得它在几乎每个平台上都兼容。
      • Elasticsearch 是实时的,新增的文档可以实时的在该搜索引擎中检索到。
      • Elasticsearch 是分布式的,这使得它易于在任何大型组织中扩展和集成。
    • L(Logstash):Logstash 是免费且开源的服务器端数据处理管道。 主要有三个功能:1.采集各种样式、大小和来源的数据;2.实时解析和转换输入的数据;3.选择存储库导出数据。
      • 日志输入:通过5044端口,监听来自 filebeat 传输的数据
      • 日志过滤:对日期、消息等数据进行解析和转换
      • 日志输出:输出到 elasticsearch 上进行日志的存储和检索
    • K(Kibana):Kibana 是为 Elasticsearch 设计的开源分析和可视化平台。 Kibana 能够对 Elasticsearch 数据进行可视化,并在 Elastic Stack 中进行导航。 通过 Kibana 可以进行各种操作,从跟踪查询负载,到理解请求如何流经您的整个应用,都能轻松完成。
  3. 推荐:使用 Filebeat 实现日志采集。Filebeat 是一个开源的轻量型日志采集器,同时,它也是 Elastic Stack 的一部分,因此能够与 Logstash、Elasticsearch 和 Kibana 无缝协作。

安装教程

  1. 搭建 Docker 环境
  2. 使用命令行工具执行 docker 容器构建命令: docker-compose up
  3. 等待启动完毕后,访问本地 kibana 服务
  4. 如果成功访问到 Kibana 服务界面,即说明 ELK 日志管理平台搭建完毕

使用说明

  1. 完成上述安装步骤就已经实现了 ELK 平台的搭建,日志可视化与过滤功能基本实现。
  2. 接下来通过 filebeat 从指定路径读取日志文件向 Logstash 的 5044 端口发送日志数据,本处以windows环境为例,将 filebeat 安装到需要日志采集项目的服务器上,并修改配置filebeat.yml
## Filebeat configuration

# 配置:需要扫描的日志文件路径
filebeat.inputs:
  - type: log
    paths:
      - G:\shimmer-project\trance-log\logs\*  # 此处改为需要日志采集的路径!!!

      # 多行合并(根据日期正则区分每条日志)
    multiline.pattern: '^\[[0-9]{4}-[0-9]{2}-[0-9]{2}'
    multiline.negate: true
    multiline.match: after

# 只支持输出到一个ouput中
output:
  # 输出到elasticsearch
  # elasticsearch:
  #    hosts: ['localhost:9200']
  #    index: "filebeat-elasticsearch-%{+YYYY.MM.dd}"

  # 配置:输出到 ELK 平台 Logstash 的监听端口,默认为5044
  logstash:
    hosts: [ 'localhost:5044' ]    # 此处改为 Logstash 监听的端口!!!

# 包含过滤字符
# include_lines: ['ERROR', 'WARN']
# 不包含过滤字符
# exclude_lines: ['DEBUG']

http.enabled: true
http.host: 0.0.0.0
  1. 启动filebeat.exe,成功运行后即可在 Kibana 上看到 Filebeat 采集上传的日志数据

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基于 Docker 快速搭建 Elk 日志管理平台 展开 收起
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