日志系统ELKStack安装部署
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ELK 简介
ELK是Elasticsearch、Logstash、Kibana三大开源框架首字母大称,它是一套完整的日志收集以及展示的解决方案。
其中:
Elasticsearch: 分布式搜索引擎,提供搜集、分析、存储数据三大功能。
Logstash: 日志的搜集、分析、过滤日志的工具,支持大量的数据获取方式。
Kibana: 主要为Logstash 和ElasticSearch 提供的日志分析友好的 Web 界面,可以帮助汇总、分析和搜索重要数据日志。
ELK 用途
在规模较大的场景中,面临问题包括日志量太大如何归档、文本搜索太慢怎么办、如何多维度查询。需要集中化的日志管理,所有服务器上的日志收集总。常见解决思路是建立集中式日志收集系统,将所有节点上的日志统一收集,管理,访问。
ELK在海量日志系统运维中,可用于:
故障排查
监控和预警
分布式日志数据查询和统一管理
报表功能
安全信息和事件管理
安装环境
ELK软件安装可以使用在线yum安装方式部署,需要先添加yum仓库。
1. 下载并安装GPG key
[rootimport https://packages.elastic.co/GPG-KEY-elasticsearch ~]# rpm --
[rootimport https://packages.elastic.co/GPG-KEY-elasticsearch ~]# rpm --
2. 添加yum仓库
[root ~]# cat/etc/yum.repos.d/elasticsearch.repo
[elasticsearch-7.x]
name=Elasticsearch repository for 7.xpackages
baseurl=https://artifacts.elastic.co/packages/7.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md
[root ~]# cat/etc/yum.repos.d/elasticsearch.repo
[elasticsearch-7.x]
name=Elasticsearch repository for 7.xpackages
baseurl=https://artifacts.elastic.co/packages/7.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md
PS : 由于这个在国内下载很慢!本次介绍的ELK软件是使用电脑存的旧版本软件,自己本地搭建一个yum仓库进行安装部署 (大家可以百度/谷歌搜索ELK国内资源进行下载),下面是主机配置,由于资源问题,本次用的架构也比较精简~
IP (hostname) |
software |
10.0.0.20 (elasticsearch01) | elasticsearch |
10.0.0.21 (elasticsearch02) | elasticsearch |
10.0.0.22 (kibana01) | kibana |
10.0.0.22 (logstash01) | logstash |
Elasticsearch
集群安装
Elasticsearch部署用了两台主机做个小集群,下面是安装步骤~
##第一台Elasticsearch
1.安装java
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openjdk version "1.8.0_242"
OpenJDK Runtime Environment (build 1.8.0_242-b08)
OpenJDK 64-Bit Server VM (build 25.242-b08, mixed mode)
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openjdk version "1.8.0_242"
OpenJDK Runtime Environment (build 1.8.0_242-b08)
OpenJDK 64-Bit Server VM (build 25.242-b08, mixed mode)
2.安装Elasticsearch及配置
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cluster.name: my-elk
node.name: elasticsearch01
path.data: /data/elasticsearch-data
path.logs: /var/log/elasticsearch
bootstrap.mlockall: true
network.host: 10.0.0.20
http.port: 9200
discovery.zen.ping.unicast.hosts: ["elasticsearch01", "elasticsearch02"]
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cluster.name: my-elk
node.name: elasticsearch01
path.data: /data/elasticsearch-data
path.logs: /var/log/elasticsearch
bootstrap.mlockall: true
network.host: 10.0.0.20
http.port: 9200
discovery.zen.ping.unicast.hosts: ["elasticsearch01", "elasticsearch02"]
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2.启动
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tcp6 0 0 10.0.0.20:9200 :::* LISTEN 925/java
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{
"name" : "elasticsearch01",
"cluster_name" : "my-elk",
"version" : {
"number" : "2.3.4",
"build_hash" : "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",
"build_timestamp" : "2016-06-30T11:24:31Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
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tcp6 0 0 10.0.0.20:9200 :::* LISTEN 925/java
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{
"name" : "elasticsearch01",
"cluster_name" : "my-elk",
"version" : {
"number" : "2.3.4",
"build_hash" : "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",
"build_timestamp" : "2016-06-30T11:24:31Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
##第二台Elasticsearch
PS: 第二台安装和第一台安装步骤一样,只是配置文件一点小区别
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cluster.name: my-elk
node.name: elasticsearch02
path.data: /data/elasticsearch-data
path.logs: /var/log/elasticsearch
bootstrap.mlockall: true
network.host: 10.0.0.21
http.port: 9200
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{
"name" : "elasticsearch02",
"cluster_name" : "my-elk",
"version" : {
"number" : "2.3.4",
"build_hash" : "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",
"build_timestamp" : "2016-06-30T11:24:31Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
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cluster.name: my-elk
node.name: elasticsearch02
path.data: /data/elasticsearch-data
path.logs: /var/log/elasticsearch
bootstrap.mlockall: true
network.host: 10.0.0.21
http.port: 9200
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{
"name" : "elasticsearch02",
"cluster_name" : "my-elk",
"version" : {
"number" : "2.3.4",
"build_hash" : "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",
"build_timestamp" : "2016-06-30T11:24:31Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
##查看集群状态
[root@elasticsearch01 ~]# curl 10.0.0.20:9200/_cluster/health?pretty
[root@elasticsearch01 ~]# curl 10.0.0.20:9200/_cluster/health?pretty
-----到这个elasticsearch集群就已经安装完成。
##Elasticsearch插件
1. 集群管理插件
[root@elasticsearch01 ~]# cd /usr/share/elasticsearch/bin/
[root@elasticsearch01 bin]# ./plugin install ftp://10.0.0.240/elk/elasticsearch-head-master.zip
---浏览器访问 http://10.0.0.20:9200/_plugin/head/
[root@elasticsearch01 ~]# cd /usr/share/elasticsearch/bin/
[root@elasticsearch01 bin]# ./plugin install ftp://10.0.0.240/elk/elasticsearch-head-master.zip
2. 安装监控插件
[root@elasticsearch01 bin]# ./plugin install ftp://10.0.0.240/elk/elasticsearch-kopf-master.zip
---浏览器访问 http://10.0.0.20:9200/_plugin/kopf
[root@elasticsearch01 bin]# ./plugin install ftp://10.0.0.240/elk/elasticsearch-kopf-master.zip
Kibana安装
Kibana 是为 Elasticsearch 设计的开源分析和可视化平台。可以用来搜索,查看存储在 Elasticsearch 索引中的数据并与之交互。
1.安装java
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2.安装kibana及配置
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server.port: 5601
server.host: 10.0.0.23
elasticsearch.url: http://10.0.0.20:9200 #elasticsearch地址
kibana.index: ".kibana"
kibana.defaultAppId: "discover"
elasticsearch.pingTimeout: 1500
elasticsearch.requestTimeout: 30000
elasticsearch.startupTimeout: 5000
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server.port: 5601
server.host: 10.0.0.23
elasticsearch.url: http://10.0.0.20:9200 #elasticsearch地址
kibana.index: ".kibana"
kibana.defaultAppId: "discover"
elasticsearch.pingTimeout: 1500
elasticsearch.requestTimeout: 30000
elasticsearch.startupTimeout: 5000
2.启动
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tcp 0 0 10.0.0.23:5601 0.0.0.0:* LISTEN 617/node
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tcp 0 0 10.0.0.23:5601 0.0.0.0:* LISTEN 617/node
---浏览器访问 http://10.0.0.23:5601/
##浏览器访问,全绿就表示成功了。
##主页面,还没有索引信息。待后续创建再配置。
logstash安装
logstash收集日志基本流程: input-->codec-->filter-->codec-->output
1.input:从哪里收集日志。
2.filter:发出去前进行过滤
3.output:输出至Elasticsearch或Redis消息队列
4.codec:输出至前台
1.安装java
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2.安装logstash及配置
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input {
stdin {
}
}
output {
stdout {
codec => rubydebug
}
}
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input {
stdin {
}
}
output {
stdout {
codec => rubydebug
}
}
3.启动/测试
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##输入hello,前台会输出信息。
logstash收集nginx日志
logstash收集nginx日志,输出到elasticsearch,并通过kibana前台显示。
1.安装Nginx
----安装过程可以见下文:
----安装过程可以见下文:
2.配置nginx输出json日志
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log_format json '{ "@timestamp": "$time_iso8601", '
'"@fields": { '
'"remote_addr": "$remote_addr", '
'"remote_user": "$remote_user", '
'"body_bytes_sent": "$body_bytes_sent", '
'"request_time": "$request_time", '
'"status": "$status", '
'"request": "$request", '
'"request_method": "$request_method", '
'"http_referrer": "$http_referer", '
'"body_bytes_sent":"$body_bytes_sent", '
'"http_x_forwarded_for": "$http_x_forwarded_for", '
'"http_user_agent": "$http_user_agent" } }';
access_log /var/log/nginx/access_json.log json;
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log_format json '{ "@timestamp": "$time_iso8601", '
'"@fields": { '
'"remote_addr": "$remote_addr", '
'"remote_user": "$remote_user", '
'"body_bytes_sent": "$body_bytes_sent", '
'"request_time": "$request_time", '
'"status": "$status", '
'"request": "$request", '
'"request_method": "$request_method", '
'"http_referrer": "$http_referer", '
'"body_bytes_sent":"$body_bytes_sent", '
'"http_x_forwarded_for": "$http_x_forwarded_for", '
'"http_user_agent": "$http_user_agent" } }';
access_log /var/log/nginx/access_json.log json;
3.创建logstash配置文件
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input {
file {
type => "access_nginx"
path => "/var/log/nginx/access_json.log"
codec => "json"
}
}
output {
elasticsearch {
hosts => ["http://10.0.0.20:9200"]
index => "nginxlog"
}
}
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input {
file {
type => "access_nginx"
path => "/var/log/nginx/access_json.log"
codec => "json"
}
}
output {
elasticsearch {
hosts => ["http://10.0.0.20:9200"]
index => "nginxlog"
}
}
4.启动
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##访问elasticsearch的head模块,可以看见创建的索引。
##访问kibana,配置nginxlog索引
##配置成功之后,nginx的访问日志信息就会输出到kibana可视化页面,就可以进一步进行搜索等交互功能。
有什么需要补充或不足大家可以多多留言,一起探讨,谢谢
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