ELK日志系统(ElasticSearch+Logstash+K

2020-11-09 本文已影响0人草丛里的黄盖

本文章仅作为个人笔记

elastic官网

kafka官网

zookeeper官网

ElasticSearch官方yum安装文档

Logstash官方yum安装文档

Kibana官方yum安装文档

Filebeat官方yum安装文档

kafka2.6.0安装包官方下载地址

zookeeper3.6.2安装包官方下载地址

zookeeper官方运行文档

先贴上各工具安装教程，可先安装不启动，配置后再启动。

------------------安装部分----------------------

安装java
- yum install java-1.8.0-openjdk.x86_64 java-1.8.0-openjdk-devel.x86_64 -y

ElasticSearch安装

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

vim /etc/yum.repos.d/elasticsearch.repo

[elasticsearch]
name=Elasticsearch repository for 7.x packages
baseurl=https://artifacts.elastic.co/packages/7.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=0
autorefresh=1
type=rpm-md

yum install --enablerepo=elasticsearch elasticsearch -y

Logstash安装

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

vim /etc/yum.repos.d/logstash.repo

[logstash-7.x]
name=Elastic repository for 7.x packages
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

yum install logstash -y

Kibana安装

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

vim /etc/yum.repos.d/kibana.repo

[kibana-7.x]
name=Kibana repository for 7.x packages
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

yum install kibana -y
chkconfig --add kibana
service kibana start

Filebeat安装

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

vim /etc/yum.repos.d/filebeat.repo

[kibana-7.x]
name=Kibana repository for 7.x packages
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

yum install filebeat -y
systemctl enable filebeat
chkconfig --add filebeat

kafka安装
- 因为kafka的服务依赖于java及zookeeper
- zookeeper安装
  - wget https://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.6.2/apache-zookeeper-3.6.2-bin.tar.gz * tar -zxvf apache-zookeeper-3.6.2-bin.tar.gz
  - cd apache-zookeeper-3.6.2-bin
- kafka安装
  - wget https://mirror.bit.edu.cn/apache/kafka/2.6.0/kafka_2.13-2.6.0.tgz
  - tar -zxvf kafka_2.13-2.6.0.tgz
  - cd kafka_2.13-2.6.0
    ------------------配置部分----------------------

配置ElasticSearch(默认yum安装的不更改配置亦可，看个人需求)

vim /etc/elasticsearch/elasticsearch.yml

找到配置文件中的cluster.name，打开该配置并设置集群名称
cluster.name: demon
找到配置文件中的node.name，打开该配置并设置节点名称
node.name: elk-1
解决启动报错
cluster.initial_master_nodes: ["node-1"]
配置内存使用用交换分区
bootstrap.memory_lock: true
监听的网络地址
network.host: 0.0.0.0
开启监听的端口
http.port: 9200
增加新的参数，这样head插件可以访问es (5.x版本，如果没有可以自己手动加)
http.cors.enabled: true
http.cors.allow-origin: "*"

集群配置(非集群可略过)

discovery.zen.ping.unicast.hosts: ["192.168.60.201", "192.168.60.202","192.168.60.203"]  
# 集群各节点IP地址，也可以使用els、els.demo.com等名称，需要各节点能够解析
discovery.zen.minimum_master_nodes: 2              # 为了避免脑裂，集群节点数最少为 半数+1

配置开启自启
chkconfig --add elasticsearch
service elasticsearch start

kibana配置

vi /etc/kibana/kibana.yml

server.port: 5601
server.host: “0.0.0.0”
elasticsearch.hosts: [“http://localhost:9200”]
kibana.index: “.kibana”

service kibana start

kafka配置(kafka依赖于zookeeper，因此先配置zookeeper并启动)
- zookeeper配置
  - cp conf/zoo_sample.cfg conf/zoo.cfg
  - bin/zkServer.sh start
- kafka配置
  - vim kafka-2.6.0-src/config/zookeeper.properties
```
server.1=192.168.1.190:2888:3888 //kafka集群ip:port
```
  - vim kafka-2.6.0-src/config/server.properties
```
broker.id=0
listeners=PLAINTEXT://192.168.1.190:9092
zookeeper.connect=192.168.1.190:2181,192.168.1.191:2181,192.168.1.192:2181
```
  - 启动服务
  - ./bin/kafka-server-start.sh config/server.properties
  - 创建topic(测试)
  - ./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic testtopic
  - 查询topic(测试)
  - ./bin/kafka-topics.sh --zookeeper localhost:2181 --list
  - 发送消息(测试)
  - ./bin/kafka-console-producer.sh --broker-list localhost:9092 --topic testtopic
  - 接收消息(测试)
  - ./bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic testtopic --from-beginning

Logstash配置(input为监控入地址，output为elasticsearch出地址)

设置输入数据

vim /etc/logstash/conf.d/input.conf

input {
        kafka {
                type => "nginx_kafka"
                codec => "json"
                topics => "nginx"
                decorate_events => true
                bootstrap_servers => "localhost:9092"
        }
}

设置输出数据

output {
        if [type] == "nginx_kafka" {
                elasticsearch {
                        hosts => ["localhost"]
                        index => 'logstash-nginx-%{+YYYY-MM-dd}'
                }
        }
}

service logstash start

filebeat配置

vim /etc/filebeat/filebeat.yml

filebeat.inputs:
- type: log
  paths:
    - /var/log/nginx/access.log
    json.keys_under_root: true
    json.add_error_key: true
    json.message_key: log
output.kafka:
  hosts: ["localhost:9092"]
  topic: "nginx"

service filebeat start

至此整套elk服务便部署好了
可以打开 http://localhost:5601 -> StackManagement -> index Patterns 选择 Create index pattern 设置过滤的key，然后创建规则，创建好后。
打开 http://localhost:5601 -> Discover 查看对应的log，使用filter进行过滤。