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ELK+Filebeat+Kafka+Zookeeper

作者：Guff_9hys | 2024-07-11 08:59:07

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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

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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

搭建ELK+Filebeat+Kafka+Zookeeper

1.3台机子安装zookeeper

1.1 解压安装zookeeper软件包

1.2 修改Zookeeper配置配置文件

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。

1.4 两种启动zookeeper的方法

1.5脚本启动 推荐

2. 安装 kafka（3台机子都要操作）

2.2 修改配置文件

2.3 将相关命令加入到系统环境当中

2.3 将相关命令加入到系统环境当中

2.4Kafka 命令行操作

3.配置数据采集层filebeat

3.1 定制日志格式

3.2安装filebeat

3.3 修改配置文件filebeat.yml

3.4 启动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

4.2 修改logstash的配置文件

4.3 验证网页

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。

1.5脚本启动推荐