zoukankan      html  css  js  c++  java
  • 使用 opendistro for elasticsearch 做为graylog的后端存储

    graylog 是一个很不错的日志分析、收集、报警平台,包好了丰富的插件,同时内部的架构设计很不错
    input 组件很多,使用stream、pipeline可以方便的进行数据处理,可以同时3.0 对于sidcar 的支持更好了,内部强大的
    dashboard 以及查询能力,可以方便的进行常见系统的性能分析。
    以下测试下opendistro for elasticsearch 与graylog 的集成,同时测试下功能的兼容性

    环境准备

    • docker-compose 文件
    version: '3'
    services:
      mongodb:
        image: mongo:3
        networks:
          - odfe-net
      elasticsearch:
        image: amazon/opendistro-for-elasticsearch:0.8.0
        container_name: elasticsearch
        environment:
          - opendistro_security.ssl.http.enabled=false
          - cluster.name=odfe-cluster
          - bootstrap.memory_lock=true # along with the memlock settings below, disables swapping
          - "ES_JAVA_OPTS=-Xms512m -Xmx512m" # minimum and maximum Java heap size, recommend setting both to 50% of system RAM
        ulimits:
          memlock:
            soft: -1
            hard: -1
        volumes:
          - odfe-data1:/usr/share/elasticsearch/data
        ports:
          - 9200:9200
          - 9600:9600 # required for Performance Analyzer
        networks:
          - odfe-net
      odfe-node2:
        image: amazon/opendistro-for-elasticsearch:0.8.0
        container_name: odfe-node2
        environment:
          - opendistro_security.ssl.http.enabled=false
          - cluster.name=odfe-cluster
          - bootstrap.memory_lock=true
          - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
          - discovery.zen.ping.unicast.hosts=elasticsearch
        ulimits:
          memlock:
            soft: -1
            hard: -1
        volumes:
          - odfe-data2:/usr/share/elasticsearch/data
        networks:
          - odfe-net
      kibana:
        image: amazon/opendistro-for-elasticsearch-kibana:0.8.0
        container_name: odfe-kibana
        ports:
          - 5601:5601
        expose:
          - "5601"
        environment:
          ELASTICSEARCH_URL: http://elasticsearch:9200
        networks:
          - odfe-net
      graylog:
        image: graylog/graylog:3.0
        environment:
          # CHANGE ME (must be at least 16 characters)!
          - GRAYLOG_PASSWORD_SECRET=somepasswordpepper
          # Password: admin
          - GRAYLOG_ROOT_PASSWORD_SHA2=8c6976e5b5410415bde908bd4dee15dfb167a9c873fc4bb8a81f6f2ab448a918
          - GRAYLOG_HTTP_EXTERNAL_URI=http://127.0.0.1:9000/
          - GRAYLOG_ELASTICSEARCH_HOSTS=http://admin:admin@elasticsearch:9200 #  连接方式使用basic auth
        links:
          - mongodb:mongo
        networks:
          - odfe-net
        depends_on:
          - mongodb
        ports:
          # Graylog web interface and REST API
          - 9000:9000
          # Syslog TCP
          - 1514:1514
          # Syslog UDP
          - 1514:1514/udp
          # GELF TCP
          - 12201:12201
          # GELF UDP
          - 12201:12201/udp
    volumes:
      odfe-data1:
      odfe-data2:
    
    networks:
      odfe-net:
    • 启动
    docker-compose up -d

    测试&&查询

    • 登录
    open http://localhost:9000
    账户  admin admin 
    • 添加一个input

      使用场景的GELF HTTP input


    graylog 3.0 一些新的input 组件

    • push 数据
    curl -X POST -H 'Content-Type: application/json' -d '{ "version": "1.1", "host": "dalongdemo.org", "short_message": "A short message app demo", "level": 5, "_some_info": "foo" }' 'http://localhost:12201/gelf'
    • 界面

    • 一个简单的dashboard

    • sql 查询

      graylog 默认创建的索引是以grraylog 开头的,以下为使用sql 查询

    GET _opendistro/_sql
    {
      "query": "select * from graylog_0"
    }

    效果

    说明

    通过简单的测试,我们发现兼容还是不错的,我们可以互相利用,搞一个灵活便捷的日志监控系统

    参考资料

    https://opendistro.github.io/for-elasticsearch-docs/docs/install/docker/
    http://docs.graylog.org/en/3.0/pages/sending_data.html#gelf-via-http
    http://docs.graylog.org/en/3.0/pages/sidecar.html
    https://github.com/rongfengliang/opendistro-graylog-docker-compose

  • 相关阅读:
    sockjs-node/info?t=报错解决
    微信昵称表情符号前端显示问题
    vue-cli 3.0项目安装报错
    vue-cli项目按需引入element-ui实际操作
    javafx分别设置四个边框
    springmvc使用<mvc:default-servlet-handler/>导致的handler失效
    windows注册表删除右键菜单
    计算机实现32位整数加减乘除的方法
    常用排序算法
    AbstractCollection类中的 T[] toArray(T[] a)方法源码解读
  • 原文地址:https://www.cnblogs.com/rongfengliang/p/10770405.html
Copyright © 2011-2022 走看看