|
1、elk说明
elk全称：
elasticsearch:
是一个分布式、高扩展、高实时的搜索与数据分析引擎;简称es
logstash:
是开源的服务器端数据处理管道，能够同时从多个来源采集数据，转换数据，然后将数据发送到您最喜欢的“存储库”中;如elasticsearch中
kibana:
是为 Elasticsearch设计的开源分析和可视化平台。你可以使用 Kibana 来搜索，查看存储在 Elasticsearch 索引中的数据并与之交互。你可以很容易实现高级的数据分析和可视化，以图标的形式展现出来。
以上三个组件就是常说的elk~
2、快速部署配置elk
1）部署环境：
Centos7,本文基于7.x部署
172.16.0.213 elasticsearch
172.16.0.217 elasticsearch
172.16.0.219 elasticsearch kibana
kibana只要在其中一台部署即可;
2)配置官方yum源
三台均配置repo源
$ cat /etc/yum.repos.d/elast.repo
[elasticsearch-7.x]
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=1
autorefresh=1
type=rpm-md
3)安装
$ cat /etc/hosts
172.16.0.213 ickey-elk-213
172.16.0.217 ickey-elk-217
172.16.0.219 ickey-elk-219
$ yum install elasticsearch -y
4）配置
$ cat /etc/elasticsearch/elasticsearch.yml
cluster.name: elk_test ### 集群名
node.name: ickey-elk-217 ### 节点名需要按节点配置
node.master: true
node.data: true
path.data: /var/log/elasticsearch/data
path.logs: /var/log/elasticsearch/logs
network.host: 172.16.0.217 ### 节点ip
transport.tcp.port: 9300
transport.tcp.compress: true
http.port: 9200
http.max_content_length: 100mb
bootstrap.memory_lock: true
discovery.seed_hosts: [“172.16.0.213”,“172.16.0.217”,“172.16.0.219”]
cluster.initial_master_nodes: [“172.16.0.213”,“172.16.0.217”,“172.16.0.219”]
gateway.recover_after_nodes: 2
gateway.recover_after_time: 5m
gateway.expected_nodes: 3
修改elasticsearch启动内存分配：
$ /etc/elasticsearch/jvm.options 中
-Xms4g
-Xmx4g
内在一般是系统内存80%左右;分别表示预加载内存和最高使用内存
此时启动elasticsearch
$ systemctl elasticsearch start
5）安装kibana
就在219上安装
$ yum install kinbana -y
配置
$ cat /etc/kibana/kibana.yml|egrep -v “($|#)”
server.port: 5601
server.host: “172.16.0.219”
server.name: “ickey-elk-219”
elasticsearch.hosts: [“http://172.16.0.213:9200”,“http://172.16.0.217:9200”,“http://172.16.0.219:9200”]
elasticsearch.username: “kibana”
elasticsearch.password: “pass”
elasticsearch.requestTimeout: 40000
logging.dest: /var/log/kibana/kibana.log # 日志输出，默认输出到了/var/log/message
i18n.locale: “zh-CN” # 中文界面
详情配置参考：
https://www.elastic.co/guide/cn/kibana/current/settings.html
2、logstash安装配置及实践
上面已经所存储搜索的es和展示及搜索图片化的kibana安装配置完成，数据获取部分就需要logstash和beat这里主要使用到了logstash和filebeat
lostash收集日志比较重量级，配置也相对复杂点;可定制收集的功能也很多，这里除了安装给也常见配置整理：
1）安装
通过yum源安装，安装源同上
yum install logstash -y
logstash需要jdk支持;因此需要先安装配置java jdk版本1.8及以上即可;
这里安装 jdk-8u211-linux-x64.rpm
cat/etc/profile.d/java.shxportJAVAHOME=/usr/java/latestexportJAVABIN=cat /etc/profile.d/java.shxport JAVA_HOME=/usr/java/latestexport JAVA_BIN=cat/etc/profile.d/java.shxportJAVA
H
OME=/usr/java/latestexportJAVA
B
IN={JAVA_HOME}/bin
export PATH=PATH:{PATH}:PATH:{JAVA_HOME}/bin
export CLASSPATH=.:JAVAHOME/lib/dt.jar:JAVA_HOME/lib/dt.jar:JAVA
H
OME/lib/dt.jar:JAVA_HOME/lib/tools.jar
export JAVA_HOME JAVA_BIN PATH CLASSPATH
export JRE_HOME=/usr/java/latest
安装完成后需要执行 /usr/share/logstash/bin/system-install
Centos 6的系统通过以下方式管理服务
initctl status|start|stop|restart logstash
CentOS7:
systemctl restart logstash
2）实践配置
收集nginx日志：（nginx服务器上执行）
$ cat /etc/logstash/conf.d/nginx-172.16.0.14.conf
input {
file {
path => ["/var/log/nginx/test.log"]
codec => json
sincedb_path => “/var/log/logstash/null”
discover_interval => 15
stat_interval => 1
start_position => “beginning”
}
}
filter {
date {
locale => “en”
timezone => “Asia/Shanghai”
match => [ “timestamp”, “ISO8601” ,“yyyy-MM-dd’T’HH:mm:ssZZ” ]
}
mutate {
convert => [ “upstreamtime”, “float” ]
}
mutate {
gsub => [“message”, “\x”, “\x”]
}
if [user_agent] {
useragent {
prefix => “remote_”
source => “user_agent”
}
}
if [request] {
ruby {
init => “@kname = [‘method1’,‘uri1’,‘verb’]”
code => “new_event = LogStash::Event.new(Hash[@kname.zip(event.get(‘request’).split(’ ‘))])
new_event.remove(’@timestamp’)
new_event.remove(‘method1’)
event.append(new_event)”
remove_field => [ “request” ]
}
}
geoip {
source => “clientRealIp”
target => “geoip”
database => “/tmp/GeoLite2-City.mmdb”
add_field => [ “[geoip][coordinates]”, “%{[geoip][longitude]}” ]
add_field => [ “[geoip][coordinates]”, “%{[geoip][latitude]}” ]
}
mutate {
convert => [
“[geoip][coordinates]”, “float”,
“upstream_response_time”,“float”,
“responsetime”,“float”,
“body_bytes_sent”,“integer”,
“bytes_sent”,“integer”]
}
}
output {
elasticsearch {
hosts => [“172.16.0.219:9200”]
index => “logstash-nginx-%{+YYYY.MM.dd}”
workers => 1
template_overwrite => true
}
}
注意需要nginx中的日志格式配置为：
log_format logstash ‘{"@timestamp":“KaTeX parse error: Double superscript at position 17: …ime_iso8601",' '̲"@version":"1",…server_addr”,’
‘“size”:KaTeX parse error: Double superscript at position 19: …y_bytes_sent,' '̲"domain":"host",’
‘“method”:“KaTeX parse error: Double superscript at position 19: …uest_method",' '̲"url":"uri”,’
‘“request”:“KaTeX parse error: Double superscript at position 12: request",' '̲"status":"status”,’
‘“referer”:“KaTeX parse error: Double superscript at position 17: …ttp_referer",' '̲"user_agent":"http_user_agent”,’
‘“body_bytes_sent”:“KaTeX parse error: Double superscript at position 20: …_bytes_sent",' '̲"bytes_sent":"bytes_sent”,’
‘“clientRealIp”:“KaTeX parse error: Double superscript at position 17: …lientRealIp",' '̲"forwarded_for"…http_x_forwarded_for”,’
‘“responsetime”:“KaTeX parse error: Double superscript at position 17: …equest_time",' '̲"upstreamhost":…upstream_addr”,’
‘“upstream_response_time”:"$upstream_response_time"}’;
配置成接收syslog
$ cat /etc/logstash/conf.d/rsyslog-tcp.conf
input {
syslog {
type => “system-syslog”
host => “172.16.0.217”
port => 1514
}
}
filter {
if [type] == “system-syslog” {
grok {
match => { “message” => “%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:[%{POSINT:syslog_pid}])?:%{GREEDYDATA:syslog_message}” }
add_field => [ “received_at”, “%{@timestamp}” ]
add_field => [ “received_from”, “%{host}” ]
}
date {
match => [ “syslog_timestamp”, “MMM d HH:mm:ss”, “MMM dd HH:mm:ss” ]
}
}
}
output {
if [type] == “system-syslog” {
elasticsearch {
hosts => [“172.16.0.217:9200”]
index => “logstash-%{type}-%{+YYYY.MM.dd}”
#workers => 1
template_overwrite => true
}
}
}
客户端需要配置：
$ tail -fn 1 /etc/rsyslog.conf
. @172.16.0.217:1514
配置收集硬件日志服务器
[yunwei@ickey-elk-217 ~]$ cat /etc/logstash/conf.d/hardware.conf
input {
syslog {
type => “hardware-syslog”
host => “10.8.51.217”
port => 514
}
}
filter {
if [type] == “hardware-syslog” {
grok {
match => { “message” => “%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:[%{POSINT:syslog_pid}])?:%{GREEDYDATA:syslog_message}” }
add_field => [ “received_at”, “%{@timestamp}” ]
add_field => [ “received_from”, “%{host}” ]
}
date {
match => [ “syslog_timestamp”, “MMM d HH:mm:ss”, “MMM dd HH:mm:ss” ]
}
}
}
output {
if [type] == “hardware-syslog” {
elasticsearch {
hosts => [“10.8.51.217:9200”]
index => “logstash-%{type}-%{+YYYY.MM.dd}”
}
}
}
3、filebeat安装配置及应用实践
1）说明
filebeat 原先是基于 logstash-forwarder 的源码改造出来的。换句话说：filebeat 就是新版的 logstash-forwarder，也会是 Elastic Stack 在 shipper 端的第一选择。
下图摘自官方，es logstasilebeat.pngh filbeat kafa redis之间的关系;如图：
elk(elasticsearch、logstast,kibana)filebeat部署与实践
2）安装
同样基于以上的yum源
$ yum install filebeat -y
3)配置之收集runtime和php-fpm错误日志
[root@ickey-app-api-52 yunwei]# cat /etc/filebeat/filebeat.yml
#=========================== Filebeat inputs =============================
filebeat.inputs:
type: log
enabled: true
paths:
/home/wwwroot/.ickey.cn/runtime/logs/.log
fields:
type: “runtime”
json.message_key: log
json.keys_under_root: true
type: log
enabled: true
paths:
/var/log/php-fpm/www-error.log
fields:
type: “php-fpm”
#============================= Filebeat modules ===============================
filebeat.config.modules:
path: ${path.config}/modules.d/*.yml
reload.enabled: true
#==================== Elasticsearch template setting ==========================
setup.template.settings:
index.number_of_shards: 2
#============================== Kibana =====================================
setup.kibana:
host: “172.16.0.219:5601”
#============================= Elastic Cloud ==================================
output.elasticsearch:
hosts: [“172.16.0.213:9200”,“172.16.0.217:9200”,“172.16.0.219:9200”]
indices:
index: “php-fpm-log-%{+yyyy.MM.dd}”
when.equals:
fields.type: “php-fpm”
index: “runtime-log-%{+yyyy.MM.dd}”
when.equals:
fields.type: “runtime”
pipelines:
pipeline: “php-error-pipeline”
when.equals:
fields.type: “php-fpm”
#================================ Processors =====================================
processors:
add_host_metadata: ~
add_cloud_metadata: ~
#================================ Logging =====================================
logging.level: info
logging.to_files: true
logging.files:
path: /var/log/filebeat
name: filebeat
keepfiles: 7
permissions: 0644
收集数据库日志：
filebeat.inputs:
type: log
paths:
/var/log/mysql/mysql.err
fields:
type: “mysqlerr”
exclude_files: [‘Note’]
multiline.pattern: '1{4}.’
multiline.negate: true
multiline.match: after
filebeat.config.modules:
path: ${path.config}/modules.d/.yml
reload.enabled: True
setup.template.settings:
index.number_of_shards: 2
setup.kibana:
host: “172.16.0.219:5601”
output.elasticsearch:
hosts: [“172.16.0.213:9200”]
indices:
index: “mysql-err-%{+yyyy.MM.dd}”
when.equals:
fields.type: “mysqlerr”
processors:
add_host_metadata: ~
add_cloud_metadata: ~
4、安装配置elasticsearch-head
elasticsearch-head是开源的，图形化查看操作es中索引web界面;
1）安装
$ git clone https://github.com/mobz/elasticsearch-head.git
$ cd elasticsearch-head
$ registry=https://registry.npm.taobao.org
$ npm install grunt -save –
└─┬ grunt@1.0.1
…省略…
├── path-is-absolute@1.0.1
└── rimraf@2.2.8
npm WARN elasticsearch-head@0.0.0 license should be a valid SPDX license expression
$ npm install --registry=https://registry.npm.taobao.org
npm WARN deprecated http2@3.3.7: Use the built-in module in node 9.0.0 or newer, instead
[ …] - fetchMetadata: verb afterAdd /root/.npm/debug/2.6.9/package/package.json written
此步需要等待一段时间
2)配置开机自启服务
$ cat /usr/bin/elasticsearch-head
#!/bin/bash
chkconfig: - 25 75
description: starts and stops the elasticsearch-head
data="cd /usr/local/src/elasticsearch-head/; nohup npm run start > /dev/null 2>&1 & "
START(){
eval $data && echo -e “elasticsearch-head start\033[32m ok\033[0m”
}
STOP(){
ps -ef |grep grunt |grep -v “grep” |awk ‘{print $2}’ |xargs kill -s 9 > /dev/null && echo -e “elasticsearch-head stop\033[32m ok\033[0m”
}
STATUS(){
PID=$(ps aux |grep grunt|grep -v grep|awk ‘{print $2}’)
}
case “$1” in
start)
START
;;
stop)
STOP
;;
restart)
STOP
sleep 3
START
;;
*)
echo “Usage: elasticsearch-head (start|stop|restart)”
;;
esac
0-9 ↩︎
|