Elasticsearch、Logstash、Kibana作用ELK是Elasticsearch、Logstash、Kibana他们三个组合起来可以搭建日志系统,本文主要记录使
用ELK收集SoringBoot应用产生的日志
Elasticsearch:存储日志信息
Logstash: 日志收集,springboot利用Logstash把日志发送个Logstash,然后Logstash将日志传递
给Elasticsearch。
Kibana:通过web端对日志进行可视化操作 对Elasticsearch安装
下载Elasticsearch镜像
docker pull Elasticsearch:7.6.2
修改虚拟内存地址,否则可能出现内存过小无法启动
sysctl -w vm.max_map_count=262144
启动Elasticsearch服务:
docker run -p 9200:9200 -p 9300:9300 --name elasticsearch -e "discovery.type=single-node" -e "cluster.name=elasticsearch" -v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins -v /mydata/elasticsearch/data:/usr/share/elasticsearch/data -d elasticsearch:7.6.2
启动时/usr/share/elasticsearch会出现没有访问权限,需要修改/mydata/elasticsearch/data/权
限,然后重新启动elasticsearch
chmod 777 /mydata/elasticsearch/data/
安装IKAnalyzer中文分词器,并重新启动:
docker exec -it elasticsearch /bin/bash #此命令需要在容器中运行 elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis- ik/releases/download/v7.6.2/elasticsearch-analysis-ik-7.6.2.zip docker restart elasticsearch
注:离线安装elasticsearch中插件
1.下载elasticsearch-analysis-ik-7.6.2.zip
https://github.com/medcl/elasticsearch-analysis- ik/releases/download/v7.6.2/elasticsearch-analysis-ik-7.6.2.zip
2.上传到linux
3.上传的linux复制到elasticsearch容器中
docker cp elasticsearch-analysis-ik-7.6.2.zip elasticsearch:/
4.安装插件
docker exec -it elasticsearch /bin/bash elasticsearch-plugin install file:elasticsearch-analysis-ik-7.6.2.zip docker restart elasticsearch
如果防火墙没有关闭
firewall-cmd --zone=public --add-port=9200/tcp --permanent firewall-cmd --reload安装Logstash的Docker镜像
1.下载Logstash镜像
docker pull logstash:7.6.2
2.添加Logstash配置文件logstash.conf
input {
tcp {
mode => "server"
host => "0.0.0.0"
port => 4560
codec => json_lines
type => "manage"
}
tcp {
mode => "server"
host => "0.0.0.0"
port => 4561
codec => json_lines
type => "star"
}
tcp {
mode => "server"
host => "0.0.0.0"
port => 4562
codec => json_lines
type => "love"
}
}
filter{
if [type] == "record" {
mutate {
remove_field => "port"
remove_field => "host"
remove_field => "@version"
}
json {
source => "message"
remove_field => ["message"]
}
}
}
output {
elasticsearch {
hosts => "es:9200"
index => "leinfty-%{type}-%{+YYYY.MM.dd}"
}
}
3.创建/mydata/logstash,将logstash.conf拷贝到该目录
mkdir /mydata/logstash
4.启动logstash
docker run --name logstash -p 4560:4560 -p 4561:4561 -p 4562:4562 --link elasticsearch:es -v /mydata/logstash/logstash.conf:/usr/share/logstash/pipeline/logstash.conf -d logstash:7.6.2Kibana安装
1.下载Kibana镜像
docker pull kibana:7.6.2
2.启动Kibana
docker run --name kibana -p 5601:5601 --link elasticsearch:es -e "elasticsearch.hosts=http://es:9200" -d kibana:7.6.2
3.如果防火墙没有关闭
firewall-cmd --zone=public --add-port=5601/tcp --permanent firewall-cmd --reload
4.将kibana变为中文
docker exec -it kibana bash cd config vi kibana.yml
5.在kibana.yml中添加
il8n.locale:"zh-CN"
6.访问http://xxxx:5601进行测试
SpringBoot集成Logstash 添加Logstash依赖添加配置文件logback-spring.xml,使得logbach日志输入到logstashnet.logstash.logback logstash-logback-encoder 5.3
在application.yml中添加配置进行测试${APP_NAME} ${LOG_FILE_PATH}/${APP_NAME}-%d{yyyy-MM-dd}.log 30 ${FILE_LOG_PATTERN} ip:4562
logging:
file:
path: /var/logs
level:
root: info
config: classpath:logback-spring.xml
查看收集的日志
1.创建索引
权限控制
进入es容器
docker exec -it elasticsearch bash
修改配置
vi config/elasticsearch.yml
启用安全配置
xpack.security.enabled: true xpack.license.self_generated.type: basic xpack.security.transport.ssl.enabled: true
重启es容器
exit docker restart elasticsearch
设置密码
docker exec -it elasticsearch bash
bin/elasticsearch-setup-passwords interactive
按提示填入各类应用的密码
进入kibana容器
docker exec -it kibana bash
配置kibana连接elastic的设置
vi config/kibana.yml
elasticsearch.username: "elastic" elasticsearch.password: "xxx"
重启kibana容器
docker restart kibana
配置logstash连接elastic的设置
vi /mydata/logstash/logstash.conf
output {
elasticsearch {
hosts => "es:9200"
user => "elastic"
password => "xxx"
index => "leinfty-%{type}-%{+YYYY.MM.dd}"
}
}
重启logstash
docker restart logstash
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