ELFK日志分析系统之搭建ELF+Filebeaat+Zookeeper+Kafka

引言

结合前面所学

http://ELK日志分析系统

一、为什么要做日志分析平台

随着业务量的增长，每天业务服务器将会产生上亿条的日志，单个日志文件达几个GB，这时我们发现用Linux自带工具，cat grep awk 分析越来越力不从心了，而且除了服务器日志，还有程序报错日志，分布在不同的服务器，查阅繁琐。

待解决的痛点:

大量不同种类的日志成为了运维人员的负担，不方便管理;
单个日志文件巨大，无法使用常用的文本工具分析，检索困难;
日志分布在多台不同的服务器上，业务一旦出现故障，需要一台台查看日志。

二、ELK+Filebeat+Zookeeper+Kafka架构

整体的架构如上图所示

这个架构图从左到右，总共分为5层，每层实现的功能和含义分别介绍如下：

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。

三、搭建ELK+Filebeat+Zookeeper+Kafka

1、环境准备

服务器ip地址	节点名称	安装组件
192.168.10.100	node1	Elasticsearch 、Kibana
192.168.10.101	node2	Elasticsearch
192.168.10.102	logstash	logstash、Apache
192.168.10.103	filebeat	filebeat
192.168.10.104	zk+kfk1	zookeeper、Kafka
192.168.10.105	zk+kfk2	zookeeper、Kafka

所有服务器关闭防火墙以及核心防护

systemctl stop firewalld
setenforce 0

修改主机名

##第一台
[root@localhost ~]#hostnamectl set-hostname node1
[root@localhost ~]#bash

##第二台
[root@localhost ~]#hostnamectl set-hostname node2
[root@localhost ~]#bash

##第三台
[root@localhost ~]#hostnamectl set-hostname logstash
[root@localhost ~]#bash

##第四台
[root@localhost ~]#hostnamectl set-hostname filebeat
[root@localhost ~]#bash

##第五台
[root@localhost ~]#hostnamectl set-hostname zk-kfk1
[root@localhost ~]#bash

##第六台
[root@localhost ~]#hostnamectl set-hostname zk-kfk2
[root@localhost ~]#bash

配置域名解析

echo "192.168.10.100 node1" > /etc/hosts
echo "192.168.10.101 node2" > /etc/hosts
echo "192.168.10.102 logstash" > /etc/hosts
echo "192.168.10.103 filebeat" > /etc/hosts
echo "192.168.10.104 zk-kfk1" > /etc/hosts
echo "192.168.10.105 zk-kfk2" > /etc/hosts

查看java环境

##java -version
openjdk version "1.8.0_131"
OpenJDK Runtime Environment (build 1.8.0_131-b12)
OpenJDK 64-Bit Server VM (build 25.131-b12, mixed mode)

2、部署ElasticSearch（在node1、node2节点上）

两台同时操作

1.安装ElasticSearch的rpm包，并解压

#上传elasticsearch-5.5.0.rpm到/opt目录下
cd /opt
rz -E
rpm -ivh elasticsearch-5.5.0.rpm  ##解压

2.加载服务系统并开启开机自启

systemctl daemon-reload                   ##加载服务
systemctl enable elasticsearch.service    ##设置开机自启服务

3.修改ElasticSearch主配置文件

[root@node1 opt]#cp /etc/elasticsearch/elasticsearch.yml /etc/elasticsearch/elasticsearch.yml.bak              ##先进性备份
[root@node1 opt]#vim /etc/elasticsearch/elasticsearch.yml   ###修改elasticsearch主配置文件
 
cluster.name: my-elk-cluster             ##第17行， 取消注释，指定集群名字
node.name: node1                         ##第23行， 取消注释，指定节点名字：Node1节点为node1，Node2节点为node2
path.data: /data/elk_data                ##第33行， 取消注释，指定数据存放路径
path.logs: /var/log/elasticsearch/       ##第37行， 取消注释，指定日志存放路径
bootstrap.memory_lock: false             ##第43行， 取消注释，改为在启动的时候不锁定内存
network.host: 0.0.0.0                    ##第55行， 取消注释，设置监听地址，0.0.0.0代表所有地址
http.port: 9200                          ##第59行， 取消注释，ES 服务的默认监听端口为9200
discovery.zen.ping.unicast.hosts: ["node1", "node2"]       ##第68行， 集群发现通过单播实现，指定要发现的节点 node1、node2
 
[root@node1 opt]#grep -v "^#" /etc/elasticsearch/elasticsearch.yml
cluster.name: my-elk-cluster
node.name: node1
path.data: /data/elk_data
path.logs: /var/log/elasticsearch/
bootstrap.memory_lock: false
network.host: 0.0.0.0
http.port: 9200
discovery.zen.ping.unicast.hosts: ["node1", "node2"]

4.创建数据存放路径并授权，启动服务并查看端口是否开启

mkdir -p /data/elk_data                                ##创建数据存放路径
chown elasticsearch:elasticsearch  /data/elk_data/     ##给数据存放路径赋予权限
systemctl start elasticsearch.service                  ##启动比较慢，需要等待
netstat -natp | grep 9200                              ##过滤端口
tcp6       0      0 :::9200                 :::*                    LISTEN      37606/java

5.查看节点信息

浏览器访问  http://192.168.10.100:9200  、 http://192.168.10.101:9200 查看节点 Node1、Node2 的信息。
 
浏览器访问 http://192.168.10.100:9200/_cluster/health?pretty  、 http://192.168.10.101:9200/_cluster/health?pretty查看群集的健康情况，可以看到 status 值为 green（绿色）， 表示节点健康运行。
 
#使用上述方式查看群集的状态对用户并不友好，可以通过安装 Elasticsearch-head 插件，可以更方便地管理群集。
 
绿色：健康  数据和副本 全都没有问题
红色：数据都不完整
黄色：数据完整，但副本有问题

3、安装ElasticSearch-head插件(在node1节点上操作)

1.编译安装node1

#上传软件包 node-v8.2.1.tar.gz 到/opt
yum install gcc gcc-c++ make -y
cd /opt
rz -E
tar zxvf node-v8.2.1.tar.gz
cd node-v8.2.1/
./configure
make -j4 && make install

2.安装phantomjs(前端框架)

[root@node1 opt]#ls
elasticsearch-5.5.0.rpm    kibana-5.5.1-x86_64.rpm  node-v8.2.1.tar.gz                    rh
elasticsearch-head.tar.gz  node-v8.2.1              phantomjs-2.1.1-linux-x86_64.tar.bz2
[root@node1 opt]#tar  jxf phantomjs-2.1.1-linux-x86_64.tar.bz2 -C /usr/local/src/
[root@node1 opt]#cd /usr/local/src/phantomjs-2.1.1-linux-x86_64/bin/
[root@node1 bin]#ls
phantomjs
[root@node1 bin]#cp phantomjs  /usr/local/bin/

3.安装ElasticSearch-head数据可视化工具

[root@node1 opt]#ls
elasticsearch-5.5.0.rpm    kibana-5.5.1-x86_64.rpm  node-v8.2.1.tar.gz                    rh
elasticsearch-head.tar.gz  node-v8.2.1              phantomjs-2.1.1-linux-x86_64.tar.bz2
[root@node1 opt]#tar xf elasticsearch-head.tar.gz -C /usr/local/src/
[root@node1 opt]#cd /usr/local/src/elasticsearch-head/
[root@node1 elasticsearch-head]#ls
Dockerfile                          Gruntfile.js       LICENCE       package-lock.json             README.textile  test
Dockerfile-alpine                   grunt_fileSets.js  node_modules  plugin-descriptor.properties  _site
elasticsearch-head.sublime-project  index.html         package.json  proxy                         src
[root@node1 elasticsearch-head]#npm install
npm WARN deprecated fsevents@1.2.13: The v1 package contains DANGEROUS / INSECURE binaries. Upgrade to safe fsevents v2
npm WARN optional SKIPPING OPTIONAL DEPENDENCY: fsevents@^1.0.0 (node_modules/karma/node_modules/chokidar/node_modules/fsevents):
npm WARN notsup SKIPPING OPTIONAL DEPENDENCY: Unsupported platform for fsevents@1.2.13: wanted {"os":"darwin","arch":"any"} (current: {"os":"linux","arch":"x64"})
npm WARN elasticsearch-head@0.0.0 license should be a valid SPDX license expression
 
up to date in 5.63s

4.修改ElasticSearch主配置文件

[root@node1 opt]#vim /etc/elasticsearch/elasticsearch.yml      ##修改 Elasticsearch 主配置文件
 
--末尾添加以下内容--
http.cors.enabled: true				#开启跨域访问支持，默认为 false
http.cors.allow-origin: "*"			#指定跨域访问允许的域名地址为所有
 
systemctl restart elasticsearch     ##重启elasticsearch服务

5.启动ElasticSearch-head服务

#必须在解压后的 elasticsearch-head 目录下启动服务，进程会读取该目录下的 gruntfile.js 文件，否则可能启动失败。
cd /usr/local/src/elasticsearch-head/
npm run start &
 
> elasticsearch-head@0.0.0 start /usr/local/src/elasticsearch-head
> grunt server
 
Running "connect:server" (connect) task
Waiting forever...
Started connect web server on http://localhost:9100
 
#elasticsearch-head 监听的端口是 9100
ss -natp |grep 9100

6.通过ELasticSearch-head查看ElasticSearch信息

通过浏览器访问 http://192.168.10.100:9100/ 地址并连接群集。
如果看到群集健康值为 green 绿色，代表群集很健康。
注意：有的时候显示未连接，这时将 localhost 改成 IP 地址即可

7.插入索引

#通过命令插入一个测试索引，索引为 index-demo，类型为 test。
curl -X PUT 'localhost:9200/index-demo1/test/1?pretty&pretty' -H 'content-Type: application/json' -d '{"user":"zhangsan","mesg":"hello world"}'
 
//输出结果如下：
{
"_index" : "index-demo",
"_type" : "test",
"_id" : "1",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true
}

8.浏览器查看索引信息

浏览器访问 http://192.168.10.100:9100/ 查看索引信息，
可以看见索引默认被分片5个，并且有一个副本。
点击"数据浏览"，会发现在node1上创建的索引为 index-demo，类型为 test 的相关信息。

4、ELK Logstash部署(在APache节点上操作)

1.安装Apache服务(httpd)

yum install httpd -y   ##安装Apache服务

2.安装java环境

[root@logstash opt]#java -version
openjdk version "1.8.0_131"
OpenJDK Runtime Environment (build 1.8.0_131-b12)
OpenJDK 64-Bit Server VM (build 25.131-b12, mixed mode)

3.安装Logstash

[root@logstash ~]#cd /opt/
[root@logstash opt]#rz -E
rz waiting to receive.
[root@logstash opt]#ls
logstash-5.5.1.rpm  rh
[root@logstash opt]#rpm -ivh logstash-5.5.1.rpm 
警告：logstash-5.5.1.rpm: 头V4 RSA/SHA512 Signature, 密钥 ID d88e42b4: NOKEY
准备中...                          ################################# [100%]
正在升级/安装...
   1:logstash-1:5.5.1-1               ################################# [100%]
Using provided startup.options file: /etc/logstash/startup.options
Successfully created system startup script for Logstash
 
[root@logstash opt]#ln -s /usr/share/logstash/bin/logstash  /usr/local/bin/    ##做软链接

4.测试Logstash

[root@logstash ~]#systemctl start logstash.service        ##首先开启服务
[root@logstash ~]#systemctl enable logstash.service
[root@logstash ~]#systemctl status logstash.service 
● logstash.service - logstash
   Loaded: loaded (/etc/systemd/system/logstash.service; disabled; vendor preset: disabled)
   Active: active (running) since 三 2024-04-10 22:42:12 CST; 3s ago
 Main PID: 5783 (java)
   CGroup: /system.slice/logstash.service
           └─5783 /usr/bin/java -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=75 -XX:+U...
 
4月 10 22:42:12 logstash systemd[1]: Started logstash.
4月 10 22:42:12 logstash systemd[1]: Starting logstash...

##定义输入和输出流：
##输入采用标准输入，输出采用标准输出（类似管道）
##logstash -e 'input { stdin{} } output { stdout{} }'
 
[root@logstash ~]#logstash -e 'input { stdin{} } output { stdout{} }'
ERROR StatusLogger No log4j2 configuration file found. Using default configuration: logging only errors to the console.
WARNING: Could not find logstash.yml which is typically located in $LS_HOME/config or /etc/logstash. You can specify the path using --path.settings. Continuing using the defaults
Could not find log4j2 configuration at path //usr/share/logstash/config/log4j2.properties. Using default config which logs to console
22:45:31.013 [main] INFO  logstash.setting.writabledirectory - Creating directory {:setting=>"path.queue", :path=>"/usr/share/logstash/data/queue"}
22:45:31.016 [main] INFO  logstash.setting.writabledirectory - Creating directory {:setting=>"path.dead_letter_queue", :path=>"/usr/share/logstash/data/dead_letter_queue"}
22:45:31.043 [LogStash::Runner] INFO  logstash.agent - No persistent UUID file found. Generating new UUID {:uuid=>"c93492d0-eb1a-4fb2-a962-69e4952cbc77", :path=>"/usr/share/logstash/data/uuid"}
22:45:31.203 [[main]-pipeline-manager] INFO  logstash.pipeline - Starting pipeline {"id"=>"main", "pipeline.workers"=>4, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>5, "pipeline.max_inflight"=>500}
22:45:31.259 [[main]-pipeline-manager] INFO  logstash.pipeline - Pipeline main started
The stdin plugin is now waiting for input:
22:45:31.328 [Api Webserver] INFO  logstash.agent - Successfully started Logstash API endpoint {:port=>9600}
 
www.baidu.com
2024-04-10T14:47:32.349Z logstash www.baidu.com

rubydebug 输出：
#使用 rubydebug 输出详细格式显示，codec 为一种编解码器
logstash -e 'input { stdin{} } output { stdout{ codec=>rubydebug } }'
 
[root@logstash ~]#logstash -e 'input { stdin{} } output { stdout{ codec=>rubydebug } }'
ERROR StatusLogger No log4j2 configuration file found. Using default configuration: logging only errors to the console.
WARNING: Could not find logstash.yml which is typically located in $LS_HOME/config or /etc/logstash. You can specify the path using --path.settings. Continuing using the defaults
Could not find log4j2 configuration at path //usr/share/logstash/config/log4j2.properties. Using default config which logs to console
22:55:57.519 [[main]-pipeline-manager] INFO  logstash.pipeline - Starting pipeline {"id"=>"main", "pipeline.workers"=>4, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>5, "pipeline.max_inflight"=>500}
22:55:57.538 [[main]-pipeline-manager] INFO  logstash.pipeline - Pipeline main started
The stdin plugin is now waiting for input:
22:55:57.621 [Api Webserver] INFO  logstash.agent - Successfully started Logstash API endpoint {:port=>9600}
www.baidu.com
{
    "@timestamp" => 2024-04-10T14:56:14.400Z,
      "@version" => "1",
          "host" => "logstash",
       "message" => "www.baidu.com"
}

输出到 ES：
#使用 Logstash 将信息写入 Elasticsearch 中
logstash -e 'input { stdin{} } output { elasticsearch { hosts=>["192.168.10.100:9200"] } }'

[root@logstash ~]#logstash -e 'input { stdin{} } output { elasticsearch { hosts=>["192.168.10.100:9200"] } }'
ERROR StatusLogger No log4j2 configuration file found. Using default configuration: logging only errors to the console.
WARNING: Could not find logstash.yml which is typically located in $LS_HOME/config or /etc/logstash. You can specify the path using --path.settings. Continuing using the defaults
Could not find log4j2 configuration at path //usr/share/logstash/config/log4j2.properties. Using default config which logs to console
23:13:22.928 [[main]-pipeline-manager] INFO  logstash.outputs.elasticsearch - Elasticsearch pool URLs updated {:changes=>{:removed=>[], :added=>[http://192.168.10.100:9200/]}}
23:13:22.931 [[main]-pipeline-manager] INFO  logstash.outputs.elasticsearch - Running health check to see if an Elasticsearch connection is working {:healthcheck_url=>http://192.168.10.100:9200/, :path=>"/"}
23:13:23.004 [[main]-pipeline-manager] WARN  logstash.outputs.elasticsearch - Restored connection to ES instance {:url=>#<Java::JavaNet::URI:0x65334761>}
23:13:23.005 [[main]-pipeline-manager] INFO  logstash.outputs.elasticsearch - Using mapping template from {:path=>nil}
23:13:23.238 [[main]-pipeline-manager] INFO  logstash.outputs.elasticsearch - Attempting to install template {:manage_template=>{"template"=>"logstash-*", "version"=>50001, "settings"=>{"index.refresh_interval"=>"5s"}, "mappings"=>{"_default_"=>{"_all"=>{"enabled"=>true, "norms"=>false}, "dynamic_templates"=>[{"message_field"=>{"path_match"=>"message", "match_mapping_type"=>"string", "mapping"=>{"type"=>"text", "norms"=>false}}}, {"string_fields"=>{"match"=>"*", "match_mapping_type"=>"string", "mapping"=>{"type"=>"text", "norms"=>false, "fields"=>{"keyword"=>{"type"=>"keyword", "ignore_above"=>256}}}}}], "properties"=>{"@timestamp"=>{"type"=>"date", "include_in_all"=>false}, "@version"=>{"type"=>"keyword", "include_in_all"=>false}, "geoip"=>{"dynamic"=>true, "properties"=>{"ip"=>{"type"=>"ip"}, "location"=>{"type"=>"geo_point"}, "latitude"=>{"type"=>"half_float"}, "longitude"=>{"type"=>"half_float"}}}}}}}}
23:13:23.253 [[main]-pipeline-manager] INFO  logstash.outputs.elasticsearch - New Elasticsearch output {:class=>"LogStash::Outputs::ElasticSearch", :hosts=>[#<Java::JavaNet::URI:0x67ed24a3>]}
23:13:23.285 [[main]-pipeline-manager] INFO  logstash.pipeline - Starting pipeline {"id"=>"main", "pipeline.workers"=>4, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>5, "pipeline.max_inflight"=>500}
The stdin plugin is now waiting for input:
23:13:23.420 [[main]-pipeline-manager] INFO  logstash.pipeline - Pipeline main started
23:13:23.541 [Api Webserver] INFO  logstash.agent - Successfully started Logstash API endpoint {:port=>9600}

5.定义Logstash配置文件

#修改 Logstash 配置文件，让其收集系统日志/var/log/messages，并将其输出到 elasticsearch 中。
chmod +r /var/log/messages					#让 Logstash 可以读取日志
 
vim /etc/logstash/conf.d/system.conf                #该文件需自行创建，文件名可自定义
input {
    file{
        path =>"/var/log/messages"						#指定要收集的日志的位置
        type =>"system"									#自定义日志类型标识
        start_position =>"beginning"					#表示从开始处收集
    }
}
output {
    elasticsearch {										#输出到 elasticsearch
        hosts => [ "192.168.10.100:9200" ]	#指定 elasticsearch 服务器的地址和端口
        index =>"system-%{+YYYY.MM.dd}"					#指定输出到 elasticsearch 的索引格式
    }
}
 
systemctl restart logstash

6.浏览器访问查看索引信息

浏览器访问 http://192.168.79.26:9100 查看索引信息

5、ELK Kibana部署(在node1节点上操作)

1.安装Kibana

下载地址：https://www.elastic.co/cn/downloads/past-releases/kibana-5-5-1

[root@node1 ~]#cd /opt/
[root@node1 opt]#ls
elasticsearch-5.5.0.rpm    kibana-5.5.1-x86_64.rpm  node-v8.2.1.tar.gz                    rh
elasticsearch-head.tar.gz  node-v8.2.1              phantomjs-2.1.1-linux-x86_64.tar.bz2
[root@node1 opt]#rpm -ivh kibana-5.5.1-x86_64.rpm 
警告：kibana-5.5.1-x86_64.rpm: 头V4 RSA/SHA512 Signature, 密钥 ID d88e42b4: NOKEY
准备中...                          ################################# [100%]
正在升级/安装...
   1:kibana-5.5.1-1                   ################################# [100%]

2.设置Kibana的主配置文件

cp /etc/kibana/kibana.yml /etc/kibana/kibana.yml.bak ##给匹配值文件做备份
vim /etc/kibana/kibana.yml                           ##设置 Kibana 的主配置文件
---------------------------------------------------------------------------------------------
server.port: 5601                                    ##第2行， 取消注释，Kiabana 服务的默认监听端口为5601
server.host: "0.0.0.0"                               ##第7行， 取消注释，设置 Kiabana 的监听地址，0.0.0.0代表所有地址
elasticsearch.url: "http://192.168.10.100:9200"      ##第21行，取消注释，设置和 Elasticsearch 建立连接的地址和端口
kibana.index: ".kibana"                              ##第30行，取消注释，设置在 elasticsearch 中添加.kibana索引

3.启动Kibana服务

[root@node1 opt]#systemctl start kibana.service 
[root@node1 opt]#systemctl enable kibana.service 
Created symlink from /etc/systemd/system/multi-user.target.wants/kibana.service to /etc/systemd/system/kibana.service.
[root@node1 opt]#lsof -i:5601
COMMAND  PID   USER   FD   TYPE DEVICE SIZE/OFF NODE NAME
node    2332 kibana   11u  IPv4  32050      0t0  TCP *:esmagent (LISTEN)
[root@node1 opt]#netstat -natp | grep 5601
tcp        0      0 0.0.0.0:5601            0.0.0.0:*               LISTEN      2332/node

4.验证Kibana

浏览器访问 http://192.168.10.100:5601

5.将Apache服务器的日志(访问的、错误的)添加到ES并通过Kibana显示

[root@logstash ~]#systemctl status httpd.service
[root@logstash ~]#systemctl start httpd.service 
[root@logstash ~]#systemctl status httpd.service

[root@logstash conf.d]#vim /etc/logstash/conf.d/apache_log.conf
 
  file {
    path => "/etc/httpd/logs/access_log"
    type => "access"
    start_position => "beginning"
  } 
  file {
    path => "/etc/httpd/logs/error_log"
    type => "error"
    start_position => "beginning"
  } 
} 
 
output {
  if [type] == "access" {
    elasticsearch {
      hosts => ["192.168.10.100:9200"]
      index => "apache_access-%{+YYYY.MM.dd}"
    } 
  } 
  if [type] == "error" {
    elasticsearch {
      hosts => ["192.168.10.100:9200"]
      index => "apache_error-%{+YYYY.MM.dd}"
    } 
  } 
} 

cd /etc/logstash/conf.d/
/usr/share/logstash/bin/logstash -f apache_log.conf

6.浏览器访问 http://192.168.10.100:9100 查看索引是否创建

需要访问Apache页面，才会出现access

7.浏览器访问 http://192.168.10.100:5601 登录 Kibana

敬请期待后续