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ELK+Filebeat+Kafka+Zookeeper

本实验基于ELFK已经搭好的情况下 ELK日志分析

架构解析

第一层、数据采集层
数据采集层位于最左边的业务服务器集群上,在每个业务服务器上面安装了filebeat做日志收集,然后把采集到的原始日志发送到Kafka+zookeeper集群上。

第二层、消息队列层
原始日志发送到Kafka+zookeeper集群上后,会进行集中存储,此时,filbeat是消息的生产者,存储的消息可以随时被消费。

第三层、数据分析层
Logstash作为消费者,会去Kafka+zookeeper集群节点实时拉取原始日志,然后将获取到的原始日志根据规则进行分析、清洗、过滤,最后将清洗好的日志转发至Elasticsearch集群。

第四层、数据持久化存储
Elasticsearch集群在接收到logstash发送过来的数据后,执行写磁盘,建索引库等操作,最后将结构化的数据存储到Elasticsearch集群上。

第五层、数据查询、展示层
Kibana是一个可视化的数据展示平台,当有数据检索请求时,它从Elasticsearch集群上读取数据,然后进行可视化出图和多维度分析。

搭建ELK+Filebeat+Kafka+Zookeeper

zIP:               所属集群:                                                        端口:
192.168.83.11      Elasticsearch+Kibana+kafka+zookeeper+nginx反向代理                9100 9200 5601 9092 3288 8080            都可以安装filebeat
192.168.83.12      Elasticsearch+Logstash+kafka+zookeeper+filebeat+nginx反向代理     9100 9200 9600 9092 3288 随机 8080
192.168.83.13      Elasticsearch+kafka+zookeeper+nginx反向代理     z                  9100 9200 9092 3288 

root@elk2 ~]# netstat -antp |grep filebeat
tcp        1      0 192.168.83.12:40348     192.168.83.11:9092      CLOSE_WAIT  6975/filebeat       
tcp        0      0 192.168.83.12:51220     192.168.83.12:9092      ESTABLISHED 6975/filebeat  

1.3台机子安装zookeeper

 wget https://dlcdn.apache.org/zookeeper/zookeeper-3.8.0/apache-zookeeper-3.8.0-bin.tar.gz --no-check-certificate

1.1 解压安装zookeeper软件包

cd /opt

上传apache-zookeeper-3.8.0-bin.tar.gz包

tar zxf apache-zookeeper-3.8.0-bin.tar.gz  解包
mv apache-zookeeper-3.8.0-bin /usr/local/zookeeper-3.8.0 #将解压的目录剪切到/usr/local/
cd /usr/local/zookeeper-3.8.0/conf/
cp zoo_sample.cfg zoo.cfg  备份复制模板配置文件为zoo.cfg

1.2 修改Zookeeper配置配置文件

cd /usr/local/zookeeper-3.8.0/conf    #进入zookeeper配置文件汇总
ls 后可以看到zoo_sample.cfg模板配置文件
cp zoo_sample.cfg zoo.cfg 复制模板配置文件为zoo.cfg
mkdir -p /usr/local/zookeeper-3.8.0/data  
mkdir -p dataLogDir=/usr/local/zookeeper-3.8.0/1ogs
vim zoo.cfg
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/usr/local/zookeeper-3.8.0/data  
dataLogDir=/usr/local/zookeeper-3.8.0/1ogs
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# https://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1

## Metrics Providers
#
# https://prometheus.io Metrics Exporter
#metricsProvider.className=org.apache.zookeeper.metrics.prometheus.PrometheusMetricsProvider
#metricsProvider.httpHost=0.0.0.0
#metricsProvider.httpPort=7000
#metricsProvider.exportJvmInfo=true
server.1=192.168.83.11:3188:3288
server.2=192.168.83.12:3188:3288
server.3=192.168.83.13:3188:3288
scp zoo.cfg  elk2:/usr/local/zookeeper-3.8.0/conf/zoo.cfg  
scp zoo.cfg  elk3:/usr/local/zookeeper-3.8.0/conf/zoo.cfg 

1.3 设置myid号以及启动脚本 到这里就不要设置同步了,下面的操作,做好一台机器一台机器的配置。

echo 1 >/usr/local/zookeeper-3.8.0/data/myid
# node1上配置

echo 2 >/usr/local/zookeeper-3.8.0/data/myid
#node2上配置

echo 3 >/usr/local/zookeeper-3.8.0/data/myid
#node3上配置

1.4 两种启动zookeeper的方法

cd /usr/local/zookeeper-3.8.0/bin
ls
./zkServer.sh start  #启动 一次性启动三台,,才可以看状态
./zkServer.sh status #查看状态
[root@elk1 bin]# ./zkServer.sh  status
/usr/bin/java
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper-3.8.0/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: follower

[root@elk2 bin]# ./zkServer.sh  status
/usr/bin/java
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper-3.8.0/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: leader

[root@elk3 bin]# ./zkServer.sh  status
/usr/bin/java
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper-3.8.0/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: follower

1.5脚本启动 推荐

第2种启动

3台节点需要执行的脚本

#//配置启动脚本,脚本在开启启动执行的目录中创建
vim /etc/init.d/zookeeper
#!/bin/bash
#chkconfig:2345 20 90
#description:Zookeeper Service Control Script
ZK_HOME='/usr/local/zookeeper-3.8.0'
case $1 in
start)
    echo "----------zookeeper启动----------"
    $ZK_HOME/bin/zkServer.sh start
;;
stop)
    echo "---------- zookeeper停止-----------"
    $ZK_HOME/bin/zkServer.sh stop
;;
restart)
    echo "---------- zookeeper 重启------------"
    $ZK_HOME/bin/zkServer.sh restart
;;
status)
    echo "---------- zookeeper 状态------------"
    $ZK_HOME/bin/zkServer.sh status
;;
*)
    echo "Usage: $0 {start|stop|restart|status}"
esac
cd /usr/local/zookeeper-3.8.0/bin
在节点1服务操作
chmod +x /etc/init.d/zookeeper
chkconfig --add zookeeper   #加入到系统管理
service zookeeper start  启动服务
service zookeeper status  查看状态后 是 follower
在节点2服务操作
chmod +x /etc/init.d/zookeeper
chkconfig --add zookeeper   #加入到系统管理
service zookeeper start  启动服务
service zookeeper status  查看状态后 是 leader     第二台启动的,他是leader
在节点3服务操作
chmod +x /etc/init.d/zookeeper
chkconfig --add zookeeper   #加入到系统管理
service zookeeper start  启动服务
service zookeeper status  查看状态后 是 follower

2. 安装 kafka(3台机子都要操作)

#下载kafka
cd /opt
wget http://archive.apache.org/dist/kafka/2.7.1/kafka_2.13-2.7.1.tgz
上传kafka_2.13-2.7.1.tgz到/opt
tar zxf kafka_2.13-2.7.1.tgz
mv kafka_2.13-2.7.1 /usr/local/kafka

2.2 修改配置文件

cd /usr/local/kafka/config/
cp server.properties server.properties.bak
vim server.properties

192.168.83.11配置
broker.id=1
listeners=PLAINTEXT://192.168.83.11:9092
zookeeper.connect=192.168.83.11:2181,192.168.83.12:2181,192.168.83.13:2181
192.168.83.13配置
broker.id=2
listeners=PLAINTEXT://192.168.83.12:9092
zookeeper.connect=192.168.83.11:2181,192.168.83.12:2181,192.168.83.13:21810:2181

192.168.83.13配置
broker.id=3
listeners=PLAINTEXT://192.168.83.13:9092
zookeeper.connect=192.168.83.11:2181,192.168.83.12:2181,192.168.83.13:2181

2.3 将相关命令加入到系统环境当中

vim /etc/profile   末行加入
export KAFKA_HOME=/usr/local/kafka
export PATH=$PATH:$KAFKA_HOME/bin
source /etc/profile
[root@elk1 config]# scp /etc/profile elk2:/etc/profile
profile                                                                        100% 1888     1.4MB/s   00:00    
[root@elk1 config]# scp /etc/profile elk3:/etc/profile
profile 

2.3 将相关命令加入到系统环境当中

cd /usr/local/kafka/config/
kafka-server-start.sh -daemon server.properties
netstat -antp | grep 9092

2.4Kafka 命令行操作

创建topic

kafka-topics.sh --create --zookeeper 192.168.121.10:2181,192.168.121.12:2181,192.168.121.14:2181 --replication-factor 2 --partitions 3 --topic test
–zookeeper:定义 zookeeper 集群服务器地址,如果有多个 IP 地址使用逗号分割,一般使用一个 IP 即可
–replication-factor:定义分区副本数,1 代表单副本,建议为 2
–partitions:定义分区数
–topic:定义 topic 名称

查看当前服务器中的所有 topic

kafka-topics.sh --list --zookeeper 192.168.121.10:2181,192.168.121.12:2181,192.168.121.14:2181

查看某个 topic 的详情

kafka-topics.sh  --describe --zookeeper 192.168.121.10:2181,192.168.121.12:2181,192.168.121.14:2181

发布消息

kafka-console-producer.sh --broker-list 192.168.121.10:9092,192.168.121.12:9092,192.168.121.14:9092  --topic test

消费消息

kafka-console-consumer.sh --bootstrap-server 192.168.121.10:9092,192.168.121.12:9092,192.168.121.14:9092 --topic test --from-beginning

–from-beginning:会把主题中以往所有的数据都读取出来

修改分区数

kafka-topics.sh 
--zookeeper 192.168.80.10:2181,192.168.80.11:2181,192.168.80.12:2181 --alter --topic test --partitions 6

删除 topic

kafka-topics.sh 
--delete --zookeeper 192.168.80.10:2181,192.168.80.11:2181,192.168.80.12:2181 --topic test

3.配置数据采集层filebeat

3.1 定制日志格式

3.1 定制日志格式
[root@elk2 ~]# vim /etc/nginx/nginx.conf
user nginx;
worker_processes auto;

error_log /var/log/nginx/error.log notice;
pid /var/run/nginx.pid;


events
{
    worker_connections 1024;
}


http
{
    include /etc/nginx/mime.types;
    default_type application/octet-stream;

#    log_format main2 '$http_host $remote_addr - $remote_user [$time_local] "$request" '
#    '$status $body_bytes_sent "$http_referer" '
#    '"$http_user_agent" "$upstream_addr" $request_time';
#    access_log /var/log/nginx/access.log main2;
     log_format  json '{"@timestamp":"$time_iso8601",'
                           '"@version":"1",'
                           '"client":"$remote_addr",'
                           '"url":"$uri",'
                           '"status":"$status",'
                           '"domain":"$host",'
                           '"host":"$server_addr",'
                           '"size":$body_bytes_sent,'
                           '"responsetime":$request_time,'
                           '"referer": "$http_referer",'
                           '"ua": "$http_user_agent"'
               '}';

    access_log  /var/log/nginx/access.log  json;
    sendfile on;
    #tcp_nopush     on;

    keepalive_timeout 65;

    #gzip  on;
    upstream elasticsearch
    {
        zone elasticsearch 64K;
        server 192.168.83.11:9200;
        server 192.168.83.12:9200;
        server 192.168.83.13:9200;
    }
    server
    {
        listen 8080;
        server_name localhost;
        location /
        {
            proxy_pass http://elasticsearch;
            root html;
            index index.html index.htm;
        }
    }
    include /etc/nginx/conf.d/*.conf;
}

3.2安装filebeat

[root@elk2 ~]# wget https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-6.0.0-x86_64.rpm
[root@elk2 ~]#  rpm -ivh filebeat-6.0.0-x86_64.rpm

3.3 修改配置文件filebeat.yml

[root@elk2 ~]# vim /etc/filebeat/filebeat.yml
  enabled: true
  paths:
    - /var/log/nginx/*.log
#-------------------------- Elasticsearch output ------------------------------
output.kafka:
  # Array of hosts to connect to.
  hosts: ["192.168.83.11:9092","192.168.83.12:9092","192.168.83.13:9092"] #145
  topic: "nginx-es"

3.4 启动filebeat

[root@elk2 ~]# systemctl restart filebeat 

4、所有组件部署完成之后,开始配置部署

4.1 在kafka上创建一个话题nginx-es

kafka-topics.sh --create --zookeeper 192.168.83.11:2181,192.168.83.12:2181,192.168.83.13:2181 --replication-factor 1 --partitions 1 --topic nginx-es 

4.2 修改logstash的配置文件

[root@elk2 ~]# vim /etc/logstash/conf.d/nginxlog.conf 
input{
kafka{
    topics=>"nginx-es"
    codec=>"json"
    decorate_events=>true
    bootstrap_servers=>"192.168.83.11:9092,192.168.83.12:9092,192.168.83.13:9092"
    }
}
output {
    elasticsearch {
         hosts=>["192.168.83.11:9200","192.168.83.12:9200","192.168.83.13:9200"]
         index=>'nginx-log-%{+YYYY-MM-dd}'
         }
}
重启logstash
systemctl restart logstash

4.3 验证网页


原文地址:https://blog.csdn.net/m0_67849390/article/details/140280691

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