使用Docker搭建ELK，并与SpringBoot集成

1.环境准备：

安装ElasticSearch、Kibana、LogStash。

docker内，下载需要的镜像。然后启动一个镜像。

创建并运行一个ElasticSearch容器：

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -p 9200:9200 -p 9300:9300 --name MyES elasticsearch:6.8.8



#7.6.2 启动需要增加discovery.type=single-node
docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -e discovery.type=single-node  -d -p 9200:9200 -p 9300:9300 --name MyES elasticsearch:7.6.2

浏览器访问测试：http://127.0.0.1:9200，应输出如下结果：

{
    "name": "WQawbNC",
    "cluster_name": "docker-cluster",
    "cluster_uuid": "f6QviESlT_e5u3kaZFHoWA",
    "version": {
        "number": "6.8.8",
        "build_flavor": "default",
        "build_type": "docker",
        "build_hash": "2f4c224",
        "build_date": "2020-03-18T23:22:18.622755Z",
        "build_snapshot": false,
        "lucene_version": "7.7.2",
        "minimum_wire_compatibility_version": "5.6.0",
        "minimum_index_compatibility_version": "5.0.0"
    },
    "tagline": "You Know, for Search"
}

创建并运行运行一个Kibana容器：
创建之前，先查看ES在docker中的ip地址，因为我们的kibana在启动的时候需要连接到ES。

#先使用命令 docker ps 查看ES容器ID
docker ps
    #输出如下:
    CONTAINER ID   IMAGE                 COMMAND                  CREATED        STATUS        PORTS                                            NAMES
    a266d1ff5c1b   elasticsearch:6.8.8   "/usr/local/bin/dock…"   19 hours ago   Up 18 hours   0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp   MyES
#通过容器ID，查看容器IP地址。以上的a266d1ff5c1b就是我们ES的容器ID
docker inspect --format '{{ .NetworkSettings.IPAddress }}' a266d1ff5c1b
    #输出如下:
     172.17.0.3

得到了ES容器IP地址之后，创建并运行一个Kibana容器。

#注意，此处的ELASTICSEARCH_URL需替换成上面ES容器的IP地址，否则Kibana连接不到ES
docker run -d --name MyKibana -p 5601:5601 -e ELASTICSEARCH_URL=http://172.17.0.3:9200 kibana:6.8.8

浏览器访问测试：http://127.0.0.1:5601：

创建并运行运行一个LogStash容器：

docker run -d -p 9600:9600 -p 4560:4560 --name MyLogStash logstash:6.8.8

运行后，进入容器内部。修改logstash.yml配置文件：

docker exec -it 容器ID bash
cd config
vi logstash.yml
# 改成如下配置
http.host: "0.0.0.0"
xpack.monitoring.elasticsearch.url: http://es所在的ip:9200
xpack.monitoring.elasticsearch.username: elastic
xpack.monitoring.elasticsearch.password: changme

修改pipeline下的logstash.conf文件

input {
  tcp {
     #模式选择为server
    mode => "server"
    #ip和端口根据自己情况填写，端口默认4560,对应下文logback.xml里appender中的destination
    host => "logstash所在的ip地址"
    port => 4560
    #格式json
    codec => json_lines
    
 }
}

output {
elasticsearch {
    action => "index"
    #这里是es的地址，多个es要写成数组的形式
    hosts  => "172.17.0.3:9200"
    #用于kibana过滤，可以填项目名称
    index  => "springboot-logstash"
  }    
  stdout {
    codec => rubydebug
  }
}

最后重启我们的logstash

docker restart MyLogStash

2. 使ELK与SpringBoot集成

maven相关依赖：

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.4.2</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.elk</groupId>
    <artifactId>demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>demo</name>
    <description>Demo project for Spring Boot</description>
    <properties>
        <java.version>1.8</java.version>
        <ch.qos.logback.version>1.2.3</ch.qos.logback.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-logging</artifactId>
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-core</artifactId>
            <version>${ch.qos.logback.version}</version>
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
            <version>${ch.qos.logback.version}</version>
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-access</artifactId>
            <version>${ch.qos.logback.version}</version>
        </dependency>
        <dependency>
        <groupId>net.logstash.logback</groupId>
        <artifactId>logstash-logback-encoder</artifactId>
        <version>5.1</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

logback配置：

<?xml version="1.0" encoding="UTF-8"?>
<configuration debug="false" scan="true" scanPeriod="1 seconds">
    <include resource="org/springframework/boot/logging/logback/base.xml" />
    <contextName>logback</contextName>

    <appender name="stash" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
        <destination>127.0.0.1:4560</destination>
        <!-- encoder必须配置,有多种可选 -->
        <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder" />
    </appender>

    <root level="info">
        <appender-ref ref="stash" />
    </root>
</configuration>

日志记录：

/**
 * @author lisw
 * @program elk_project
 * @description
 * @createDate 2021-02-09 13:46:45
 * @slogan 长风破浪会有时，直挂云帆济沧海。
 **/
@RestController
@RequestMapping("/test")
public class ElkController {

    private final Logger logger = LoggerFactory.getLogger(getClass());

    @RequestMapping("/elkAdd")
    public String elkAdd(){
        logger.info("日志记录"+System.currentTimeMillis());
        return "1";
    }
}

在Kibana中查看创建索引及查看日志：