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ELK快速部署及使用~

2017-05-24 16:21 411 查看
Elastic Stack

开发人员不能登陆线上服务器查看详细日志

各个系统都有日志，日志数据分散难以查找

日志数据量大，查询速度慢，或者数据不够实时

官网地址:https://www.elastic.co/cn/

官网权威指南:https://www.elastic.co/guide/cn/elasticsearch/guide/current/index.html

安装指南：https://www.elastic.co/guide/en/elasticsearch/reference/5.x/rpm.html

ELK是Elasticsearch、Logstash、Kibana的简称，这三者是核心套件，但并非全部。

Elasticsearch是实时全文搜索和分析引擎，提供搜集、分析、存储数据三大功能；是一套开放REST和JAVA API等结构提供高效搜索功能，可扩展的分布式系统。它构建于Apache Lucene搜索引擎库之上。

Logstash是一个用来搜集、分析、过滤日志的工具。它支持几乎任何类型的日志，包括系统日志、错误日志和自定义应用程序日志。它可以从许多来源接收日志，这些来源包括 syslog、消息传递（例如 RabbitMQ）和JMX，它能够以多种方式输出数据，包括电子邮件、websockets和Elasticsearch。

Kibana是一个基于Web的图形界面，用于搜索、分析和可视化存储在 Elasticsearch指标中的日志数据。它利用Elasticsearch的REST接口来检索数据，不仅允许用户创建他们自己的数据的定制仪表板视图，还允许他们以特殊的方式查询和过滤数据

架构图



elasticsearch的安装及常用插件使用

elasticsearch安装

准备环境:

两台虚拟机:
内存:4G+
处理器:双核
磁盘:40G

系统要求:
System:CentOS7.3(1611)
nodejs:v6.10.2
Openjdk:1.8.0_131
elasticsearch:elasticsearch5.4
elasticsearch-head:elasticsearch-head:5

ip地址:192.168.1.121
安装elasticsearch logstash kibana nginx docker    redis

ip地址:192.168.1.120
安装elasticsearch logstash

官网地址：https://www.elastic.co/guide/en/elasticsearch/reference/5.0/rpm.html#rpm-repo

安装elasticsearch的yum源的密钥
# rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch 
配置elasticsearch的yum源
# vim /etc/yum.repos.d/elasticsearch.repo

在elasticsearch.repo文件中添加如下内容
[elasticsearch-5.x]
name=Elasticsearch repository for 5.x packages
baseurl=https://artifacts.elastic.co/packages/5.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md

安装elasticsearch的环境

安装elasticsearch
# yum install -y elasticsearch

安装java环境
# yum install -y java

验证java安装成功
[root@localhost ~]# java -version
openjdk version "1.8.0_131"
OpenJDK Runtime Environment (build 1.8.0_131-b11)
OpenJDK 64-Bit Server VM (build 25.131-b11, mixed mode)

创建elasticsearch data的存放目录，并修改该目录的属主属组

# mkdir -p /data/es-data   (自定义用于存放data数据的目录)
# chown -R elasticsearch:elasticsearch /data/es-data

修改elasticsearch的日志属主属组

# chown -R elasticsearch:elasticsearch /var/log/elasticsearch/

修改elasticsearch的配置文件

# 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: linux-node1

修改data存放的路径
path.data: /data/es-data

修改logs日志的路径
path.logs: /var/log/elasticsearch/

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: "*"

启动elasticsearch服务

启动服务
# systemctl start elasticsearch.service

查看服务状态，如果有报错可以去看错误日志 less /var/log/elasticsearch/demon.log(日志的名称是以集群名称命名的)
# systemctl status elasticsearch.service

创建开机自启动服务
# systemctl enable elasticsearch.service

通过浏览器请求下9200的端口，看下是否成功

# curl http://192.168.1.121:9200/ {
"name" : "linux-node1",
"cluster_name" : "demon",
"cluster_uuid" : "kM0GMFrsQ8K_cl5Fn7BF-g",
"version" : {
"number" : "5.4.0",
"build_hash" : "780f8c4",
"build_date" : "2017-04-28T17:43:27.229Z",
"build_snapshot" : false,
"lucene_version" : "6.5.0"
},
"tagline" : "You Know, for Search"
}

如何和elasticsearch交互

JavaAPI

RESTful API

Javascript,.Net,PHP,Perl,Python

利用API查看状态
# curl -i -XGET 'localhost:9200/_count?pretty'
HTTP/1.1 200 OK
content-type: application/json; charset=UTF-8
content-length: 95

{
"count" : 0,
"_shards" : {
"total" : 0,
"successful" : 0,
"failed" : 0
}
}


安装插件

# /usr/share/elasticsearch/bin/elasticsearch-plugin install mapper-attachments

注:还有一些监控的优秀插件，但是因为不支持elasticsearch5.4的版本

kopf github地址: https://github.com/lmenezes/elasticsearch-kopf 
bigdesk github地址： https://github.com/lukas-vlcek/bigdesk[/code] 安装elasticsearch-head插件

安装docker镜像或者通过github下载elasticsearch-head项目都是可以的，1或者2两种方式选择一种安装使用即可

1. 使用docker的集成好的elasticsearch-head
# docker run -p 9100:9100 mobz/elasticsearch-head:5

docker容器下载成功并启动以后，运行浏览器打开http://localhost:9100/

2. 使用git安装elasticsearch-head
# yum install -y npm
# git clone git://github.com/mobz/elasticsearch-head.git
# cd elasticsearch-head
# npm install
# npm run start
git下载成功并安装完毕以后，浏览器打开http://localhost:9100/

3. 安装nodejs
nodejs官网地址：https://nodejs.org/en/download/
下载node的压缩包
# wget https://nodejs.org/dist/v6.10.3/node-v6.10.3-linux-x64.tar.xz 
因为下载的压缩包是xz格式的，所以还需要安装一下xz
# yum install -y xz

解压缩
# xz -d node-v6.10.3-linux-x64.tar.xz

解压缩完毕以后是个tar包，还需要把tar再次解压
# tar -xvf node-v6.10.3-linux-x64.tar

解压完node的安装文件后，需要配置下环境变量,编辑/etc/profile，添加
# echo "# set node environment" >> /etc/profile
# echo "export NODE_HOME=/usr/elk/node-v6.10.3-linux-x64" >> /etc/profile
# echo "export PATH=$PATH:$NODE_HOME/bin" >> /etc/profile
# source /etc/profile

看下nodejs的目录及使用版本
# echo $NODE_HOME
# node -v

重启elasticsearch服务
# systemctl restart elasticsearch.service

要选择自己对应的系统版本和架构



测试下效果



获取id信息



可以通过页面来查看添加的数据，包括可以使用基本查询来过滤数据



来测试下删除的效果吧~



LogStash的使用
安装Logstash环境：

官方安装手册:

https://www.elastic.co/guide/en/logstash/current/installing-logstash.html

下载yum源的密钥认证：
# rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch 
利用yum安装logstash
# yum install -y logstash

查看下logstash的安装目录
# rpm -ql logstash

执行logstash的命令
# /usr/share/logstash/bin/logstash -e 'input { stdin { } } output { stdout {} }'

运行成功以后输入:
hello,world

stdout返回的结果:
2017-05-23T06:55:03.607Z linux-node1 hello,world

注:
-e          执行操作
input       标准输入
{ input }   插件
output      标准输出
{ stdout }  插件




通过rubydebug来输出下更详细的信息
# /usr/share/logstash/bin/logstash -e 'input { stdin { } } output { stdout {codec => rubydebug} }'

执行成功输入:
wtf

stdout输出的结果:
{
"@timestamp" => 2017-05-23T07:01:18.961Z,
"@version" => "1",
"host" => "linux-node1",
"message" => "wtf"
}

注:
codec 编解码器

把logstash的结果输出到elasticsearch中
# /usr/share/logstash/bin/logstash -e 'input { stdin { } } output { elasticsearch { hosts => ["192.168.1.121:9200"] } }'

运行成功以后输入:
r8
V12
123

elasticsearch中的效果:



如果标准输出还有elasticsearch中都需要保留应该怎么玩，看下面
# /usr/share/logstash/bin/logstash -e 'input { stdin { } } output { elasticsearch { hosts => ["192.168.1.121:9200"] } stdout { codec => rubydebug }}'

运行成功以后输入:
demon

返回的结果(标准输出中的结果):
{
"@timestamp" => 2017-05-23T07:35:16.492Z,
"@version" => "1",
"host" => "linux-node1",
"message" => "demon"
}

elasticsearch中的效果：



logstash使用配置文件

官方指南: https://www.elastic.co/guide/en/logstash/current/configuration.html 
创建配置文件01-logstash.conf
# vim /etc/logstash/conf.d/01-logstash.conf

文件中添加以下内容
input { stdin { } }
output {
elasticsearch { hosts => ["localhost:9200"] }
stdout { codec => rubydebug }
}

使用配置文件运行logstash
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/01-logstash.conf

运行成功以后输入以及标准输出结果
我是木头人
{
"@timestamp" => 2017-05-23T12:22:49.677Z,
"@version" => "1",
"host" => "linux-node1",
"message" => "我是木头人"
}

logstash的数据库类型

1. Input插件
权威指南:https://www.elastic.co/guide/en/logstash/current/input-plugins.html

file插件的使用
# vim /etc/logstash/conf.d/file.conf

添加如下配置
input {

file {
path => "/var/log/messages"
type => "system"
start_position => "beginning"
}

}

output {

elasticsearch {
hosts => ["localhost:9200"]
index => "system-%{+YYYY.MM.dd}"
}
}

运行logstash指定file.conf配置文件，进行过滤匹配
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/file.conf

显示匹配到的日志结果



来一发配置Java日志的并且把日志的索引按类型做存放，继续编辑file.conf文件
# vim /etc/logstash/conf.d/file.conf

添加java日志的路径
input {

file {
path => "/var/log/messages"
type => "system"
start_position => "beginning"
}

file {
path => "/var/log/elasticsearch/demon.log"
type => "es-error"
start_position => "beginning"
}
}

output {

if [type] == "system" {

elasticsearch {
hosts => ["localhost:9200"]
index => "system-%{+YYYY.MM.dd}"
}
}

if [type] == "es-error" {

elasticsearch {
hosts => ["localhost:9200"]
index => "es-error-%{+YYYY.MM.dd}"
}
}
}

运行logstash指定file.conf配置文件，进行过滤匹配
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/file.conf

2. Output插件
权威指南实例:https://www.elastic.co/guide/en/logstash/current/output-plugins.html

3. Filter插件
权威指南实例:https://www.elastic.co/guide/en/logstash/current/plugins-filters-age.html

grok的官方实例 https://www.elastic.co/guide/en/logstash/current/plugins-filters-grok.html 
创建grok.conf的配置文件
# vim /etc/logstash/conf.d/grok.conf

添加如下内容
input {
stdin {

}
}

filter {
grok {
match => { "message" => "%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER：bytes} %{NUMBER:duration}" }
}
}

output {
stdout {
codec => "rubydebug"
}
}

运行成功以后输入
55.3.244.1 GET /index.html 15824 0.043

4. Codec插件
权威指南实例:https://www.elastic.co/guide/en/logstash/current/codec-plugins.html

multiline多行插件
多行匹配的实例：https://www.elastic.co/guide/en/logstash/current/plugins-codecs-multiline.html

# vim /etc/logstash/conf.d/mutiline.conf

添加如下内容
input {
stdin {
codec => multiline {
pattern => "^\["
negate => "true"
what => "previous"
}
}
}

output {
stdout {
codec => "rubydebug"
}
}

利用logstash做nginx的访问日志分析

安装nginx
# yum -y nginx

修改nginx.conf配置文件，日志配置成json保存的格式
# vim /etc/nginx/conf.d/nginx.conf

修改内容如下
注释掉http段中的access_log
添加如下内容
log_format json '{"@timestamp":"$time_iso8601",'
'"@version":"1",'
'"client":"$remote_addr",'
'"url":"$uri",'
'"status":"$status",'
'"domian":"$host",'
'"host":"$server_addr",'
'"size":"$body_bytes_sent",'
'"responsetime":"$request_time",'
'"referer":"$http_referer",'
'"ua":"$http_user_agent"'
'}';




在server段中添加访问日志以json格式保存
access_log  /var/log/nginx/access_json.log json;




检测配置文件
# nginx -t

配置文件没有错误，可以启动服务
# systemctl start nginx.service

打开浏览器请求nginx服务的ip地址或者使用curl命令
# curl -I http://192.168.1.121 
使用tail -f监测nginx的访问日志
# tail -f /var/log/nginx/access_json.log
{"@timestamp":"2017-05-25T13:08:04+08:00","@version":"1","client":"192.168.1.105","url":"/index.html","status":"304","domian":"192.168.1.121","host":"192.168.1.121","size":"0","responsetime":"0.000","referer":"-","ua":"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.15 Safari/537.36"}

创建logstash的nginx.conf配置文件
# vim /etc/logstash/cond.d/nginx.conf

添加如下内容
input {
file {
path => "/var/log/nginx/access_json.log"
codec => json
}
}

output {
stdout {
codec => "rubydebug"
}
}

执行logstach指定nginx.conf的配置文件来匹配nginx的访问日志
# /usr/share/logstash/bin/logstash -f /etc/logstash/cond.d/nginx.conf

浏览器或者curl来请求nginx的ip地址就会有json格式的返回
{
"referer" => "-",
"domian" => "192.168.1.121",
"ua" => "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.15 Safari/537.36",
"type" => "nginx-log",
"url" => "/index.html",
"path" => "/var/log/nginx/access_json.log",
"@timestamp" => 2017-05-25T05:13:29.000Z,
"size" => "0",
"@version" => "1",
"host" => "192.168.1.121",
"client" => "192.168.1.105",
"responsetime" => "0.000",
"status" => "304"
}

完整的logstash配置文件
# vim /etc/logstash/conf.d/all.conf

添加如下内容
input {

syslog {
type => "system-syslog"
host => "192.168.1.121"
port => "514"
}

file {
path => "/var/log/messages"
type => "system"
start_position => "beginning"
}

file {
path => "/var/log/elasticsearch/demon.log"
type => "es-error"
start_position => "beginning"
codec => multiline {
pattern => "^\["
negate => "true"
what => "previous"
}
}

file {
path => "/var/log/nginx/access_json.log"
codec => json
type => "nginx-log"
start_position => "beginning"
}
}

output {

if [type] == "system" {
elasticsearch {
hosts => ["localhost:9200"]
index => "system-%{+YYYY.MM.dd}"
}
}

if [type] == "es-error" {
elasticsearch {
hosts => ["localhost:9200"]
index => "es-error-%{+YYYY.MM.dd}"
}
}

if [type] == "nginx-log" {
elasticsearch {
hosts => ["localhost:9200"]
index => "nginx-log-%{+YYYY.MM.dd}"
}
}

if [type] == "system-syslog" {
elasticsearch {
hosts => ["localhost:9200"]
index => "system-syslog-%{+YYYY.MM.dd}"
}
}
}

运行logstach中的all.conf配置文件
# /usr/share/logstash/bin/logstash -f /etc/logstash/cond.d/all.conf

效果图:

可以识别的logstash



自定义logstash配置分割出来的日志信息



利用logstash做syslog的日志分析

编辑rsyslog.conf的配置文件
# vim /etc/syslog.conf

开启以下配置，并配置为本机的ip地址
源配置:*.* @@remote-host:514
更改为:*.* @@192.168.1.121:514

重启rsyslog服务
# systemctl restart rsyslog.service

创建syslog.conf的配置文件
# vim /etc/logstash/conf.d/syslog.conf

添加如下内容
input {
syslog {
type => "system-syslog"
host => "192.168.1.121"
port => "514"
}
}

output {
stdout {
codec => "rubydebug"
}
}

执行logstach运行syslog.conf的监测日志配置文件
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/syslog.conf

重启以后就可以看到输出效果了，把这段代码分别添加到all.conf中
input中加入
syslog {
type => "system-syslog"
host => "192.168.1.121"
port => "514"
}

output中加入
if [type] == "system-syslog" {
elasticsearch {
hosts => ["localhost:9200"]
index => "system-syslog-%{+YYYY.MM.dd}"
}
}

kibana中添加system-syslog-*，查看显示效果





动态图添加效果展示



利用logstash做tcp的日志分析

安装nc服务
# yum -y install nc

编辑tcp.conf的配置文件
# vim /etc/logstash/conf.d/tcp.conf

输入以下内容
input {
tcp {
host => "192.168.1.121"
port => "6666"
}
}

output {
stdout {
codec => "rubydebug"
}
}

logstash执行tcp.conf配置文件

在终端输入测试数据
# nc 192.168.1.121 6666 < /etc/fstab

显示测试数据的结果
.......
{
"@timestamp" => 2017-05-24T06:45:25.387Z,
"port" => 39212,
"@version" => "1",
"host" => "192.168.1.121",
"message" => "# Created by anaconda on Mon May 15 00:38:20 2017"
}
{
"@timestamp" => 2017-05-24T06:45:25.389Z,
"port" => 39212,
"@version" => "1",
"host" => "192.168.1.121",
"message" => "#"
}
.......

# echo " 磨人小妖精，看俺老孙金箍棒 " | nc 192.168.1.121 6666

{
"@timestamp" => 2017-05-24T06:49:57.005Z,
"port" => 39214,
"@version" => "1",
"host" => "192.168.1.121",
"message" => " 磨人小妖精，看俺老孙金箍棒 "
}

Kibana的安装及使用
安装kibana环境

官方安装手册:https://www.elastic.co/guide/en/kibana/current/install.html

下载kibana的tar.gz的软件包
# wget https://artifacts.elastic.co/downloads/kibana/kibana-5.4.0-linux-x86_64.tar.gz 
解压kibana的tar包
# tar -xzf kibana-5.4.0-linux-x86_64.tar.gz

进入解压好的kibana
# mv kibana-5.4.0-linux-x86_64 /usr/local

创建kibana的软连接
# ln -s /usr/local/kibana-5.4.0-linux-x86_64/ /usr/local/kibana

编辑kibana的配置文件
# vim /usr/local/kibana/config/kibana.yml

修改配置文件如下，开启以下的配置
server.port: 5601

server.host: "0.0.0.0"

elasticsearch.url: "http://192.168.1.121:9200"

kibana.index: ".kibana"

安装screen,以便于kibana在后台运行
# yum -y install screen

# screen

# /usr/local/kibana/bin/kibana

按住ctrl + a d关闭screen

打开浏览器并设置对应的index http://192.168.1.121:5601[/code] 设置完毕以后，点create创建



显示效果炫酷屌炸天呀~





来一发动态效果图



kibana创建视图

创建饼图



利用markdown创建联系人



Nginx独立ip访问的柱形图



Nginx页面访问次数统计



显示访问nginx的总次数



根据时间统计绘制波动图



把所有的独立视图放到一个dashboard中



实战篇
安装reids
# yum install -y redis

修改redis的配置文件
# vim /etc/redis.conf

修改内容如下
daemonize yes

bind 192.168.1.121

启动redis服务
# systemctl start redis

测试redis的是否启用成功
# redis-cli -h 192.168.1.121

输入info如果有不报错即可
192.168.1.121:6379> info
# Server
redis_version:3.2.3
redis_git_sha1:00000000
....

编辑配置redis-out.conf配置文件，把标准输入的数据存储到redis中
# vim /etc/logstash/conf.d/redis-out.conf

添加如下内容
input {
stdin {}
}

output {

redis {
host => "192.168.1.121"
port => "6379"
db => '6'
data_type => "list"
key => 'demo'
}
}

运行logstash指定redis-out.conf的配置文件
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/redis-out.conf

运行成功以后，在logstash中输入
hello,redis

开启另外一个终端链接，并进入到redis查看是否已经成功
# redis-cli -h 192.168.1.121
select 6
keys *
LINDEX demo -1

redis返回的结果
{\"@timestamp\":\"2017-05-24T11:51:15.067Z\",\"@version\":\"1\",\"host\":\"linux-node1\",\"message\":\"hello,redis\"}"

编辑配置redis-in.conf配置文件，把reids的存储的数据输出到elasticsearch中
# vim /etc/logstash/conf.d/redis-in.conf

添加如下内容
input {
redis {
host => "192.168.1.121"
port => "6379"
db => '6'
data_type => "list"
key => 'demo'
}
}

output {
elasticsearch {
hosts => ["192.168.1.121:9200"]
index => "redis-demo-%{+YYYY.MM.dd}"
}
}

运行logstash指定redis-in.conf的配置文件
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/redis-in.conf

把之前的all.conf的配置文件修改一下，变成所有的日志监控的来源文件都存放到redis中，然后通过redis在输出到elasticsearch中
# cd /etc/logstash/conf.d/
# cp all.conf shipper.conf

更改为如下
input {

syslog {
type => "system-syslog"
host => "192.168.1.121"
port => "514"
}

file {
path => "/var/log/messages"
type => "system"
start_position => "beginning"
}

file {
path => "/var/log/elasticsearch/demon.log"
type => "es-error"
start_position => "beginning"
codec => multiline {
pattern => "^\["
negate => "true"
what => "previous"
}
}

file {
path => "/var/log/nginx/access_json.log"
codec => json
type => "nginx-log"
start_position => "beginning"
}
}

output {

if [type] == "system" {
redis {
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'system'
}
}

if [type] == "es-error" {
redis {
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'es-error'
}
}

if [type] == "nginx-log" {
redis {
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'nginx-log'
}
}

if [type] == "system-syslog" {
redis {
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'system-syslog'
}
}
}

运行logstash指定shipper.conf的配置文件
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/shipper.conf

开启另外一个终端运行redis-cli
# redis-cli -h 192.168.1.121

redis中已有数据
192.168.1.121:6379> select 6
OK
192.168.1.121:6379[6]> keys *
1) "system"
2) "es-error"
3) "nginx-log"

把redis中的数据读取出来，写入到elasticsearch中(需要另外一台主机做实验 ip地址[192.168.1.120])

编辑配置文件shipper.conf [192.168.1.120]上操作
# vim /etc/logstash/conf.d/shipper.conf

添加如下内容
input {
redis {
type => "system"
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'system'
}

redis {
type => "es-error"
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'es-error'
}

redis {
type => "nginx-log"
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'nginx-log'
}

redis {
type => "system-syslog"
host => "192.168.1.121"
port => "6379"
db => "6"
data_type => "list"
key => 'system-syslog'
}
}

output {

if [type] == "system" {
elasticsearch {
hosts => ["192.168.1.121:9200"]
index => "system-%{+YYYY.MM.dd}"
}
}

if [type] == "es-error" {
elasticsearch {
hosts => ["192.168.1.121:9200"]
index => "es-error-%{+YYYY.MM.dd}"
}
}

if [type] == "nginx-log" {
elasticsearch {
hosts => ["192.168.1.121:9200"]
index => "nginx-log-%{+YYYY.MM.dd}"
}
}

if [type] == "system-syslog" {
elasticsearch {
hosts => ["192.168.1.121:9200"]
index => "system-syslog-%{+YYYY.MM.dd}"
}
}
}

注意:
input是从192.168.1.121的redis中获取数据的
output是同样也保存到192.168.1.121中的elasticsearch中，如果要保存到当前的主机上，可以把output中的hosts修改成localhost，如果还需要在kibana中显示，需要在本机上部署kabana，为何要这样做，起到一个松耦合的目的

192.168.1.121主机上运行logstash命令，用于把数据保存到redis数据库
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/shipper.conf

192.168.1.120主机上运行logstash命令，用于从数据库中读取数据并输出给elasticsearch
# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/shipper.conf

上线ELK

１.　日志分类
系统日志        rsyslog     logstash    syslog插件
访问日志        nginx       logstash    codec   json
错误日志        file        logstash    mulitline
运行日志        file        logstash    codec   json
设备日志        syslog      logstash    syslog插件
Debug日志      file         logstash   json 或者 mulitline

2.  日志标准化
路径      固定
格式      尽量json

3.   系统个日志开始-->错误日志-->运行日志-->访问日志

未完待续....
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