ELK(Elasticsearch, Logstash, Kibana)是一个强大的日志管理和分析平台,可以实现对nginx、mysql和http日志的可视化。本文将详细介绍如何配置ELK来实现这些日志的可视化。
wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.10.2-linux-x86_64.tar.gz
tar -xzf elasticsearch-7.10.2-linux-x86_64.tar.gz
cd elasticsearch-7.10.2
./bin/elasticsearch
wget https://artifacts.elastic.co/downloads/logstash/logstash-7.10.2.tar.gz
tar -xzf logstash-7.10.2.tar.gz
cd logstash-7.10.2
wget https://artifacts.elastic.co/downloads/kibana/kibana-7.10.2-linux-x86_64.tar.gz
tar -xzf kibana-7.10.2-linux-x86_64.tar.gz
cd kibana-7.10.2-linux-x86_64
./bin/kibana
Logstash需要配置文件来处理nginx、mysql和http日志。创建以下配置文件:
在 logstash-7.10.2/config
目录下创建文件 nginx.conf
:
input {
file {
path => "/var/log/nginx/access.log"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{COMBINEDAPACHELOG}" }
}
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
target => "@timestamp"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "nginx-logs"
}
stdout { codec => rubydebug }
}
在 logstash-7.10.2/config
目录下创建文件 mysql.conf
:
input {
file {
path => "/var/log/mysql/mysql.log"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{GREEDYDATA:log_message}" }
}
date {
match => [ "timestamp" , "ISO8601" ]
target => "@timestamp"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "mysql-logs"
}
stdout { codec => rubydebug }
}
在 logstash-7.10.2/config
目录下创建文件 http.conf
:
input {
file {
path => "/var/log/httpd/access_log"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{COMBINEDAPACHELOG}" }
}
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
target => "@timestamp"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "http-logs"
}
stdout { codec => rubydebug }
}
分别启动Logstash实例来处理不同的日志:
cd logstash-7.10.2
bin/logstash -f config/nginx.conf
bin/logstash -f config/mysql.conf
bin/logstash -f config/http.conf
打开浏览器,访问 http://localhost:5601
,进入Kibana界面。
在Kibana中创建索引模式:
Management > Index Patterns
。Create Index Pattern
。nginx-logs
、mysql-logs
和 http-logs
的索引模式。在Kibana的 Discover
页面,可以选择不同的索引模式查看日志数据。你可以创建各种可视化,如饼图、柱状图和线图,来分析日志数据。