1. 下载ELK的Docker镜像
docker pull elasticsearch:7.6.2
docker pull logstash:7.6.2
docker pull kibana:7.6.2
2. docker-compose安装ELK
docker-compose.yml
version: '3'
services:
elasticsearch:
image: elasticsearch:7.6.2
container_name: elasticsearch
environment:
- "cluster.name=elasticsearch" #设置集群名称为elasticsearch
- "discovery.type=single-node" #以单一节点模式启动
- "ES_JAVA_OPTS=-Xms512m -Xmx512m" #设置使用jvm内存大小
volumes:
- /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins #插件文件挂载
- /mydata/elasticsearch/data:/usr/share/elasticsearch/data #数据文件挂载
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 #挂载logstash的配置文件
depends_on:
- elasticsearch #kibana在elasticsearch启动之后再启动
links:
- elasticsearch:es #可以用es这个域名访问elasticsearch服务
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这个域名访问elasticsearch服务
depends_on:
- elasticsearch #kibana在elasticsearch启动之后再启动
environment:
- "elasticsearch.hosts=http://es:9200" #设置访问elasticsearch的地址
ports:
- 5601:5601
- 准备文件夹
mkdir -p /mydata/elasticsearch/plugins
mkdir -p /mydata/elasticsearch/data
mkdir -p /mydata/logstash
- 目录授权
chmod 777 /mydata/elasticsearch/data/
- 准备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}"
}
}
- 上传 docker-compose.yml并在文件夹执行命令
docker-compose up -d
- 开启防火墙并在kibana中查看
systemctl stop firewalld
访问地址:
http://192.168.1.17:5601
3. SpringBoot应用集成Logstash
3-1) 在pom.xml中添加logstash-logback-encoder依赖
<!-- logstash -->
<dependency>
<groupId>net.logstash.logback</groupId>
<artifactId>logstash-logback-encoder</artifactId>
</dependency>
3-2) 添加配置文件logback-spring.xml让logback的日志输出到logstash
注: appender节点下的destination需要改成你自己的logstash服务地址,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"/>
<!--应用名称-->
<property name="APP_NAME" value="elk-demo"/>
<!--LogStash访问host-->
<springProperty name="LOG_STASH_HOST" scope="context" source="logstash.host" defaultValue="localhost"/>
<!--日志文件保存路径-->
<property name="LOG_FILE_PATH" value="${LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/logs}"/>
<contextName>${APP_NAME}</contextName>
<!--每天记录日志到文件appender-->
<appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_FILE_PATH}/${APP_NAME}-%d{yyyy-MM-dd}.log</fileNamePattern>
<maxHistory>30</maxHistory>
</rollingPolicy>
<encoder>
<pattern>${FILE_LOG_PATTERN}</pattern>
</encoder>
</appender>
<!--输出到logstash的appender-->
<appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
<!--可以访问的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) 运行Springboot应用
4. 在kibana中查看日志信息
4-1) 创建index pattern
4-2) Create index pattern
4-3) 查看收集的日志
4-4) 调用接口进行测试
-
接口日志调用
-
关键字搜索
好了, 整个ELK的搭建和整合到此就结束了。