springboot+ELK日志监控系统

ELK简介
ELK是Elasticsearch+Logstash+Kibana简称

Elasticsearch 是一个分布式的搜索和分析引擎，能够用于全文检索、结构化检索和分析，并能将这三者结合起来。Elasticsearch 基于 Lucene 开发，如今是使用最广的开源搜索引擎之一。

Logstash 简单来讲就是一根具有实时数据传输能力的管道，负责将数据信息从管道的输入端传输到管道的输出端，与此同时这根管道还可让你根据本身的需求在中间加上滤网，Logstash提供了不少功能强大的滤网以知足你的各类应用场景。

Kibana 是一个开源的分析与可视化平台，设计出来用于和Elasticsearch一块儿使用的。你能够用kibana搜索、查看、交互存放在Elasticsearch索引里的数据，使用各类不一样的图标、表格、地图等，kibana可以很轻易的展现高级数据分析与可视化。

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ELK下载安装
能够去官网分别下载安装：https://www.elastic.co/downlo...
须要提早安装JDK1.8，这里我是在windows上操做。

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Elasticsearch安装启动
如图，下载Elasticsearch并解压

config/elasticsearch.yml配置文件，修改配置（也是默认配置，能够不作修改）

network.host=localhost
network.port=9200

sticsearch.bat，启动成功，访问localhost:9200

{
  "name" : "cTP-_7z",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "6tnImaw3RyKHlErGQrtuvw",
  "version" : {
    "number" : "6.3.1",
    "build_flavor" : "default",
    "build_type" : "zip",
    "build_hash" : "eb782d0",
    "build_date" : "2018-06-29T21:59:26.107521Z",
    "build_snapshot" : false,
    "lucene_version" : "7.3.1",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  },
  "tagline" : "You Know, for Search"
}

---

logstash安装启动
如图，下载Logstash并解压

bin目录下新建配置log4j_to_es.conf

input {
    tcp {  
    ##host:port就是上面appender中的 destination，这里其实把logstash做为服务，开启8080端口接收logback发出的消息  
        host => "localhost"  
        port => 8080  
    #模式选择为server  
        mode => "server"  
        tags => ["tags"]  

    ##格式json  
        codec => json_lines         
    }  

} 

output {
        elasticsearch {
        #ES地址
                hosts => "127.0.0.1:9200"
        #指定索引名字
                index => "applog"
        }
        stdout { codec => rubydebug}
}

新建文件run_default.bat

logstash -f log4j_to_es.conf

保存直接双击该配置文件，启动成功，控制台输出以下：

访问localhost:9600：

{"host":"LAPTOP-MJ88A0EI","version":"6.3.1","http_address":"127.0.0.1:9600","id":"a0fe5a6f-e35d-4c5f-8b87-24344a928239","name":"LAPTOP-MJ88A0EI","build_date":"2018-06-29T22:43:59Z","build_sha":"b79493047db01afca1e11c856fe8538d7ecb5787","build_snapshot":false}

---

Kibana安装启动
如图，下载Kibana并解压

这里，直接默认配置便可，bin/kibana.bat双击运行，启动成功，访问localhost:5601

至此，软件启动完毕！

---

建立SpringBoot项目，pom.xml文件以下：

<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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.zm.elk</groupId>
    <artifactId>elk</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>elk</name>
    <description></description>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.0.3.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
        <java.version>1.8</java.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-log4j</artifactId>
            <version>1.3.8.RELEASE</version>
        </dependency>

        <dependency>
            <groupId>net.logstash.logback</groupId>
            <artifactId>logstash-logback-encoder</artifactId>
            <version>4.9</version>
        </dependency>
    </dependencies>

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


</project>

log4j的配置以下：

log4j.rootLogger=INFO,console

# for package com.demo.elk, log would be sent to socket appender.
log4j.logger.com.forezp=DEBUG, socket

# appender socket
log4j.appender.socket=org.apache.log4j.net.SocketAppender
log4j.appender.socket.Port=4560
log4j.appender.socket.RemoteHost=localhost
log4j.appender.socket.layout=org.apache.log4j.PatternLayout
log4j.appender.socket.layout.ConversionPattern=%d [%-5p] [%l] %m%n
log4j.appender.socket.ReconnectionDelay=10000

# appender console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.out
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d [%-5p] [%l] %m%n

logback..xml配置以下：

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
    <destination>localhost:8080</destination>
    <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder" />
</appender>
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
    <encoder charset="UTF-8"> <!-- encoder 能够指定字符集，对于中文输出有意义 -->
        <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger - %msg%n</pattern>
    </encoder>
</appender>

<root level="INFO">
    <appender-ref ref="LOGSTASH" />
    <appender-ref ref="STDOUT" />
</root>

</configuration>

目录结构以下：

log测试：

import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;

@RunWith(SpringRunner.class)
@SpringBootTest
public class ElkApplicationTests {

    // 定义一个全局的记录器，经过LoggerFactory获取
    private final static Logger log = LoggerFactory.getLogger(Test.class);

    @Before
    public void setUp() {
    }
    @Test
    public void test() {
        log.trace("trace 成功了");
        log.debug("debug 成功了");
        log.info("info 成功了");
        log.warn("warn 成功了");
        log.error("error 成功了");
    }

}

回到kibana上查看信息：

而后create index pattern

回到Discover

在右边就能看到具体的日志信息啦！！

还能够本身修改filter查看须要的信息，具体的本身能够捣鼓捣鼓玩玩。