Elk 进阶部署

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虚拟机两台:

192.168.1.42

192.168.1.46

系统环境保持一致:

cat /etc/redhat-release

uname -a

 

 

elk准备环境保持一致:

elasticsearch安装:

下载并安装GPG key

rpm --import https://packages.elastic.co/GPG-KEY-elasticsearch

添加yum源:

安装elasticsearch

yum install -y elasticsearch

 

logstash安装

下载并安装GPG key

  1. [root@linux-node2 ~]# rpm --import https://packages.elastic.co/GPG-KEY-elasticsearch

添加yum仓库

  1. [root@linux-node2 ~]# vim /etc/yum.repos.d/logstash.repo
  2. [logstash-2.1]
  3. name=Logstash repository for 2.1.x packages
  4. baseurl=http://packages.elastic.co/logstash/2.1/centos
  5. gpgcheck=1
  6. gpgkey=http://packages.elastic.co/GPG-KEY-elasticsearch
  7. enabled=1

安装logstash

  1. [root@linux-node2 ~]# yum install -y logstash

安装kibana

  1. [root@linux-node2 ~]#cd /usr/local/src
  2. [root@linux-node2 ~]#wget https://download.elastic.co/kibana/kibana/kibana-4.3.1-linux-x64.tar.gz
  3. tar zxf kibana-4.3.1-linux-x64.tar.gz
  4. [root@linux-node1 src]# mv kibana-4.3.1-linux-x64 /usr/local/
  5. [root@linux-node2 src]# ln -s /usr/local/kibana-4.3.1-linux-x64/ /usr/local/kibana

安装Redis,nginx和java

yum install -y redis nginx java

 

管理配置elasticsearch

管理linux-node1的elasticsearch

修改elasticsearch配置文件,并授权

  1. [root@linux-node1 src]# grep -n \'^[a-Z]\' /etc/elasticsearch/elasticsearch.yml
  2. 17:cluster.name: chuck-cluster 判别节点是否是统一集群
  3. 23:node.name: linux-node1 节点的hostname
  4. 33:path.data: /data/es-data 数据存放路径
  5. 37:path.logs: /var/log/elasticsearch/ 日志路径
  6. 43:bootstrap.mlockall: true 锁住内存,使内存不会再swap中使用
  7. 54:network.host: 0.0.0.0 允许访问的ip
  8. 58:http.port: 9200 端口
  9. transport.tcp.port: 9300
  10. node.master: true
  11. node.data: true
  12. discovery.zen.ping.unicast.hosts: ["192.168.1.46:9300", "192.168.1.42:9301"]
  13. discovery.zen.minimum_master_nodes: 1
  1. [root@linux-node1 ~]# mkdir -p /data/es-data
  2. [root@linux-node1 src]# chown elasticsearch.elasticsearch /data/es-data/

启动elasticsearch

  1. [root@linux-node1 src]# systemctl start elasticsearch
  2. [root@linux-node1 src]# systemctl enable elasticsearch
  3. ln -s \'/usr/lib/systemd/system/elasticsearch.service\' \'/etc/systemd/system/multi-user.target.wants/elasticsearch.service\'
  4. [root@linux-node1 src]# systemctl status elasticsearch
  5. elasticsearch.service - Elasticsearch
  6. Loaded: loaded (/usr/lib/systemd/system/elasticsearch.service; enabled)
  7. Active: active (running) since Thu 2016-01-14 09:30:25 CST; 14s ago
  8. Docs: http://www.elastic.co
  9. Main PID: 37954 (java)
  10. CGroup: /system.slice/elasticsearch.service
  11. └─37954 /bin/java -Xms256m -Xmx1g -Djava.awt.headless=true -XX:+UseParNewGC -XX:+UseConc...
  12. Jan 14 09:30:25 linux-node1 systemd[1]: Starting Elasticsearch...
  13. Jan 14 09:30:25 linux-node1 systemd[1]: Started Elasticsearch.
  14. [root@linux-node1 src]# netstat -lntup|grep 9200
  15. tcp6 0 0 :::9200 :::* LISTEN 37954/java

 

访问9200端口,会把信息显示出来 

 

 

elasticsearch进行交互

交互的两种方法

    • Java API : 
      node client 
      Transport client
    • RESTful API 
      javascript 
      .NET 
      php 
      Perl 
      Python 
      Ruby

 使用head插件显示索引和分片情况

/usr/share/elasticsearch/bin/plugin install mobz/elasticsearch-head

在插件中添加一个index-demo/test的索引,提交请求 

使用kopf插件监控elasticsearch

/usr/share/elasticsearch/bin/plugin install lmenezes/elasticsearch-kopf

 

 

管理linux-node2的elasticsearch

将linux-node1的配置文件拷贝到linux-node2中,并修改配置文件并授权 
配置文件中cluster.name的名字一定要一致,当集群内节点启动的时候,默认使用组播(多播),寻找集群中的节点

 

  1. [root@linux-node1 src]# scp /etc/elasticsearch/elasticsearch.yml 192.168.56.12:/etc/elasticsearch/elasticsearch.yml
  2. [root@linux-node2 elasticsearch]# sed -i \'23s#node.name: linux-node1#node.name: linux-node2#g\' elasticsearch.yml
  3. [root@linux-node2 elasticsearch]# mkdir -p /data/es-data
  4. [root@linux-node2 elasticsearch]# chown elasticsearch.elasticsearch /data/es-data/

 注意修改:

vim   elasticsearch.yml

transport.tcp.port: 9301

node.master: false
node.data: true

 

启动elasticsearch

  1. [root@linux-node2 elasticsearch]# systemctl enable elasticsearch.service
  2. ln -s \'/usr/lib/systemd/system/elasticsearch.service\' \'/etc/systemd/system/multi-user.target.wants/elasticsearch.service\'
  3. [root@linux-node2 elasticsearch]# systemctl start elasticsearch.service
  4. [root@linux-node2 elasticsearch]# systemctl status elasticsearch.service
  5. elasticsearch.service - Elasticsearch
  6. Loaded: loaded (/usr/lib/systemd/system/elasticsearch.service; enabled)
  7. Active: active (running) since Thu 2016-01-14 02:56:35 CST; 4s ago
  8. Docs: http://www.elastic.co
  9. Process: 38519 ExecStartPre=/usr/share/elasticsearch/bin/elasticsearch-systemd-pre-exec (code=exited, status=0/SUCCESS)
  10. Main PID: 38520 (java)
  11. CGroup: /system.slice/elasticsearch.service
  12. └─38520 /bin/java -Xms256m -Xmx1g -Djava.awt.headless=true -XX:+UseParNewGC -XX:+UseConc...
  13. Jan 14 02:56:35 linux-node2 systemd[1]: Starting Elasticsearch...
  14. Jan 14 02:56:35 linux-node2 systemd[1]: Started Elasticsearch.

输入master的ip访问,出现了两个节点的信息:

 

配置logstash

使用rubudebug显示详细输出,codec为一种编解码器

  1. [root@linux-node1 bin]# /opt/logstash/bin/logstash -e \'input { stdin{} } output { stdout{ codec => rubydebug} }\'
  2. Settings: Default filter workers: 1
  3. Logstash startup completed
  4. chuck ==>输入
  5. {
  6. "message" => "chuck",
  7. "@version" => "1",
  8. "@timestamp" => "2016-01-14T06:07:50.117Z",
  9. "host" => "linux-node1"
  10. } ==>使用rubydebug输出

使用logstash将信息写入到elasticsearch

  1. [root@linux-node1 bin]# /opt/logstash/bin/logstash -e \'input { stdin{} } output { elasticsearch { hosts => ["192.168.56.11:9200"] } }\'
  2. Settings: Default filter workers: 1
  3. Logstash startup completed
  4. maliang
  5. chuck
  6. chuck-blog.com
  7. www.chuck-bllog.com

使用logstash启动一个配置文件,会在elasticsearch中写一份

[root@linux-node1 ~]# cat normal.conf
input { stdin { } }
output {
elasticsearch { hosts => ["localhost:9200"] }
stdout { codec => rubydebug }
}
[root@linux-node1 ~]# /opt/logstash/bin/logstash -f normal.conf
Settings: Default filter workers: 1
Logstash startup completed
123
{
"message" => "123",
"@version" => "1",
"@timestamp" => "2016-01-14T06:51:13.411Z",
"host" => "linux-node1

 

收集系统日志的conf

[root@linux-node1 ~]# cat system.conf
input {
  file {
    path => "/var/log/messages"
    type => "system"
    start_position => "beginning"
    }
}
output {
  elasticsearch {
    hosts => ["192.168.56.11:9200"]
    index => "system-%{+YYYY.MM.dd}"
        }
}
[root@linux-node1 ~]# /opt/logstash/bin/logstash -f system.conf

 

 

收集elasticsearch的error日志

 此处把上个system日志和这个error(java程序日志)日志,放在一起。使用if判断,两种日志分别写到不同索引中.此处的type(固定的就是type,不可更改)不可以和日志格式的任何一个域(可以理解为字段)的名称重复,也就是说日志的域不可以有type这个名称。

 

[root@linux-node1 ~]# cat all.conf
input {
  file {
    path => "/var/log/messages"
    type => "system"
    start_position => "beginning"
  }
  file {
    path => "/var/log/elasticsearch/chuck-cluster.log"
    type => "es-error"
    start_position => "beginning"
  }
}
output {
  if [type] == "system" {
    elasticsearch {
      hosts => ["192.168.56.11:9200"]
      index => "system-%{+YYYY.MM.dd}"
    }
  }
  if [type] == "es-error" {
    elasticsearch {
      hosts => ["192.168.56.11:9200"]
      index => "es-error-%{+YYYY.MM.dd}"
    }
  }
}
[root@linux-node1 ~]# /opt/logstash/bin/logstash -f all.conf

 

kibana配置

启动一个screen,并启动kibana

  1. [root@linux-node1 ~]# screen
  2. [root@linux-node1 ~]# /usr/local/kibana/bin/kibana
  3. 使用crtl +a+d退出screen

使用浏览器打开192.168.1.46:5601

 

 

logstash手机nginx、syslog和tcp日志

收集nginx的访问日志

在这里使用codec的json插件将日志的域进行分段,使用key-value的方式,使日志格式更清晰,易于搜索,还可以降低cpu的负载 
更改nginx的配置文件的日志格式,使用json

启动nginx

使用logstash将nginx访问日志收集起来,继续写到all.conf中 

收集系统syslog日志

使用文件file的形式收集了系统日志/var/log/messages,但是实际生产环境是需要使用syslog插件直接收集 
修改syslog的配置文件,把日志信息发送到514端口上

将system-syslog放到all.conf中,启动all.conf

 

 

在elasticsearch插件中就可见到增加的system-syslog索引 

编写tcp.conf

使用nc对6666端口写入数据

[root@linux-node1 ~]# nc 192.168.1.46 6666 </var/log/yum.log

将信息输入到tcp的伪设备中

 echo "chuck" >/dev/tcp/192.168.1.46/6666

暂时到此结束....

 

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