1. 下載ELK的Docker鏡像

docker pull elasticsearch:7.6.2
docker pull logstash:7.6.2
docker pull kibana:7.6.2

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2. docker-compose安裝ELK

docker-compose.yml

version: '3'
services: 
  elasticsearch: 
    image: elasticsearch:7.6.2
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch" #設(shè)置集群名稱(chēng)為elasticsearch
      - "discovery.type=single-node" #以單一節(jié)點(diǎn)模式啟動(dòng)
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m" #設(shè)置使用jvm內(nèi)存大小
    volumes:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件掛載
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data #數(shù)據(jù)文件掛載
    ports:
      - 9200:9200
      - 9300:9300
  logstash:
    image: logstash:7.6.2
    container_name: logstash
    environment:
      - TZ=Asia/Shanghai
    volumes:
      - /mydata/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf #掛載logstash的配置文件
    depends_on:
      - elasticsearch #kibana在elasticsearch啟動(dòng)之后再啟動(dòng)
    links:
      - elasticsearch:es #可以用es這個(gè)域名訪(fǎng)問(wèn)elasticsearch服務(wù)
    ports:
      - 4560:4560
      - 4561:4561
      - 4562:4562
      - 4563:4563
  kibana:
    image: kibana:7.6.2
    container_name: kibana
    links:
      - elasticsearch:es #可以用es這個(gè)域名訪(fǎng)問(wèn)elasticsearch服務(wù)
    depends_on:
      - elasticsearch #kibana在elasticsearch啟動(dòng)之后再啟動(dòng)
    environment:
      - "elasticsearch.hosts=http://es:9200" #設(shè)置訪(fǎng)問(wèn)elasticsearch的地址
    ports:
      - 5601:5601

• 準(zhǔn)備文件夾

mkdir -p /mydata/elasticsearch/plugins
mkdir -p /mydata/elasticsearch/data
mkdir -p /mydata/logstash

• 目錄授權(quán)

chmod 777 /mydata/elasticsearch/data/

• 準(zhǔn)備logstash.conf

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
  }
}
output {
  elasticsearch {
    hosts => "es:9200"
    index => "springboot-logstash-%{+YYYY.MM.dd}"
  }
}

• 上傳 docker-compose.yml并在文件夾執(zhí)行命令

docker-compose up -d

• 開(kāi)啟防火墻并在kibana中查看

systemctl stop firewalld

訪(fǎng)問(wèn)地址:
http://192.168.1.17:5601

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3. SpringBoot應(yīng)用集成Logstash

3-1) 在pom.xml中添加logstash-logback-encoder依賴(lài)

<!-- logstash -->
<dependency>
    <groupId>net.logstash.logback</groupId>
    <artifactId>logstash-logback-encoder</artifactId>
</dependency>

3-2) 添加配置文件logback-spring.xml讓logback的日志輸出到logstash

注: appender節(jié)點(diǎn)下的destination需要改成你自己的logstash服務(wù)地址，eg我的: 192.168.1.17:4560

logback-spring.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE configuration>
<configuration>
    <include resource="org/springframework/boot/logging/logback/defaults.xml"/>
    <include resource="org/springframework/boot/logging/logback/console-appender.xml"/>
    <!--應(yīng)用名稱(chēng)-->
    <property name="APP_NAME" value="elk-demo"/>
    <!--LogStash訪(fǎng)問(wèn)host-->
    <springProperty name="LOG_STASH_HOST" scope="context" source="logstash.host" defaultValue="localhost"/>

    <!--日志文件保存路徑-->
    <property name="LOG_FILE_PATH" value="${LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/logs}"/>
    <contextName>${APP_NAME}</contextName>
    <!--每天記錄日志到文件appender-->
    <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <fileNamePattern>${LOG_FILE_PATH}/${APP_NAME}-%d{yyyy-MM-dd}.log</fileNamePattern>
            <maxHistory>30</maxHistory>
        </rollingPolicy>
        <encoder>
            <pattern>${FILE_LOG_PATTERN}</pattern>
        </encoder>
    </appender>
    <!--輸出到logstash的appender-->
    <appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
        <!--可以訪(fǎng)問(wèn)的logstash日志收集端口-->
        <destination>${LOG_STASH_HOST}:4560</destination>
        <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/>
    </appender>
    <root level="INFO">
        <appender-ref ref="CONSOLE"/>
        <appender-ref ref="FILE"/>
        <appender-ref ref="LOGSTASH"/>
    </root>
</configuration>

3-3) 運(yùn)行Springboot應(yīng)用

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4. 在kibana中查看日志信息

4-1) 創(chuàng)建index pattern

image.png

4-2) Create index pattern

image.png

image.png

4-3) 查看收集的日志

image.png

4-4) 調(diào)用接口進(jìn)行測(cè)試

• 接口日志調(diào)用

  
  
  image.png

• 關(guān)鍵字搜索

  
  
  image.png

好了, 整個(gè)ELK的搭建和整合到此就結(jié)束了。