一、架构图
image.png
二、搭建
各个组件的软件包，可以到Elastic Stack官网下载 。本次搭建过程使用的是 6.3.1版本。
2.1 安装配置ElasticSearch
elasticsearch和logstash都是java开发，运行需要java环境。所以需要先配置jdk
tar jdk-8u181-linux-x64.tar.gz -C /opt/
cd /opt && ln -sv jdk1.8.0_181 jdk
# 添加环境变量
vim /etc/profile
export JAVA_HOME=/opt/jdk
export JRE_HOME=/opt/jdk/jre
export PATH=$JAVA_HOME/bin:$JRE_HOME:/bin:$PATH
source /etc/profile
# 解压
[root@monitor elk]# tar xvf elasticsearch-6.3.1.tar.gz
[root@monitor elk]# cd elasticsearch-6.3.1/
[root@monitor elasticsearch-6.3.1]# ls
bin config lib LICENSE.txt logs modules node2 node3 NOTICE.txt plugins README.textile
# 编辑配置文件
[root@monitor elasticsearch-6.3.1]# grep "^[a-z]" config/elasticsearch.yml
cluster.name: fhw-es # elasticsearch集群名称
node.name: fhw-es-node-1 # es节点名称
path.data: /data/elk/es/data # es数据存储目录
path.logs: /data/elk/es/logs # es日志存储
network.host: 0.0.0.0
http.port: 9200 # 监控的端口
# 启动elasticsearch ，注意要用非root用户启动，这里使用work用户启动它
nohup su work -c /home/work/lib/elk/es/bin/elasticsearch &
# 检查elasticsearch是否正常启动
[root@monitor work]# curl localhost:9200
{
"name" : "fhw-es-node-1",
"cluster_name" : "fhw-es",
"cluster_uuid" : "WSP7F8NESFqxHqtvwlXZzw",
"version" : {
"number" : "6.3.1",
"build_flavor" : "default",
"build_type" : "tar",
"build_hash" : "eb782d0",
"build_date" : "2018-06-29T21:59:26.107521Z",
"build_snapshot" : false,
"lucene_version" : "7.3.1",
"minimum_wire_compatibility_version" : "5.6.0",
"minimum_index_compatibility_version" : "5.0.0"
},
"tagline" : "You Know, for Search"
}
//出现以上结果，表明es启动正常。
2.2 安装配置Redis
# 下载解压
wget http://download.redis.io/releases/redis-4.0.10.tar.gz
tar xvf redis-4.0.10.tar.gz -C /home/work/lib/
cd /home/work/lib/redis-4.0.10/
make && make install
./utils/install_server.sh # 这一步通过交互自定义数据、日志存放目录
# 移动可执行文件
cp /home/work/lib/redis-4.0.10/src/redis-server /home/work/lib/redis/bin/
cp /home/work/lib/redis-4.0.10/src/redis-cli /home/work/lib/redis/bin/
cp /home/work/lib/redis-4.0.10/src/redis-benchmark /home/work/lib/redis/bin/
cp /home/work/lib/redis-4.0.10/src/redis-check-* /home/work/lib/redis/bin/
# Redis安装后的目录结构
[root@monitor redis]# pwd
/home/work/lib/redis
[root@monitor redis]#
[root@monitor redis]# tree
.
├── bin
│ ├── redis-benchmark
│ ├── redis-check-aof
│ ├── redis-check-rdb
│ ├── redis-cli
│ └── redis-server
├── conf
│ └── 6379.conf
└── data
└── 6379
└── dump.rdb
4 directories, 7 files
编辑redis配置文件
[root@monitor conf]# cd /home/work/lib/redis/conf
[root@monitor conf]# grep "^[a-z]" 6379.conf
bind 10.31.152.187 127.0.0.1
protected-mode yes
port 6379
tcp-backlog 511
timeout 0
tcp-keepalive 300
daemonize yes
supervised no
pidfile /var/run/redis_6379.pid
loglevel notice
logfile /home/work/logs/redis_6379.log
databases 16
always-show-logo yes
save 900 1
save 300 10
save 60 10000
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump.rdb
dir /home/work/lib/redis/data/6379
slave-serve-stale-data yes
slave-read-only yes
repl-diskless-sync no
repl-diskless-sync-delay 5
repl-disable-tcp-nodelay no
slave-priority 100
lazyfree-lazy-eviction no
lazyfree-lazy-expire no
lazyfree-lazy-server-del no
slave-lazy-flush no
appendonly no
appendfilename "appendonly.aof"
appendfsync everysec
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
aof-load-truncated yes
aof-use-rdb-preamble no
lua-time-limit 5000
slowlog-log-slower-than 10000
slowlog-max-len 128
latency-monitor-threshold 0
notify-keyspace-events ""
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
list-max-ziplist-size -2
list-compress-depth 0
set-max-intset-entries 512
zset-max-ziplist-entries 128
zset-max-ziplist-value 64
hll-sparse-max-bytes 3000
activerehashing yes
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
hz 10
aof-rewrite-incremental-fsync yes
启动Redis
/home/work/lib/redis/bin/redis-server /home/work/lib/redis/conf/6379.conf
2.3 安装配置Filebeat
在需要收集日志的服务器上安装配置Filebeat ，本例在架构图中ds-beta服务器上安装配置Filebeat
# 解压
[work@ds_beta elk]$ tar xvf filebeat-6.3.1-linux-x86_64.tar.gz
# 编辑配置文件
[work@ds_beta filebeat]$ grep -Ev "#|^$" filebeat.yml
filebeat.inputs:
- type: log
enabled: true
paths:
- /home/work/*-access.log
filebeat.config.modules:
path: ${path.config}/modules.d/*.yml
reload.enabled: true
setup.template.settings:
index.number_of_shards: 3
setup.kibana:
----------------------------- Redis output -----------------------------
output.redis:
hosts: ["10.31.152.187"]
port: 6379
key: "beta-nginx-access-log"
注意：如果想直接将Filebeat收集到的日志输出到ElasticSearch中存储，可以在filebeat.yml中加入这样的配置：
#-------------------------- Elasticsearch output ---------------------
output.elasticsearch:
hosts: ["10.31.152.187:9200"] # es服务器地址:端口
启动Filebeat
cd /home/work/lib/filebeat/ && /home/work/lib/filebeat/filebeat run &
注意：/home/work/lib/filebeat/data/registry文件记录了filebeat收集的日志文件名、offset(偏移量)、日志文件的inode号。
2.4 安装配置Logstash
解压
tar xvf logstash-6.3.1.tar.gz -C /home/work/lib/elk/logstash
cd /home/work/lib/elk/logstash
mkdir config/conf.d/ # 用于存放解析日志的配置文件
cd /home/work/lib/elk/logstash/config/conf.d
编辑用于解析Nginx访问日志的配置文件
[root@monitor conf.d]# cat beta-nginx-access-log.conf
# input {
# http {
# port => 7474
# }
# }
# 从redis中读取日志信息
input {
redis {
port => "6379"
host => "127.0.0.1"
data_type => "list"
type => "log"
key => "beta-nginx-access-log"
}
}
# 对日志进行过滤、解析
filter {
grok {
match => {
"message" => '%{IPORHOST:remote_ip} - %{DATA:user_name} \[%{HTTPDATE:datetime}\] "%{WORD:request_method} %{DATA:uri} HTTP/%{NUMBER:http_version}" %{NUMBER:status_code} %{NUMBER:bytes} "%{DATA:referrer}" "%{DATA:agent}" "(?:%{DATA:http_x_forwarded_for}|-)" "%{DATA:http_cookie}" "%{DATA:query_string}" "%{BASE16FLOAT:request_time}" "%{BASE16FLOAT:response_time}"'
}
}
#mutate {
# copy => { "@timestamp" => "@read_timestamp" }
#}
date {
match => [ "datetime", "dd/MMM/YYYY:HH:mm:ss Z" ]
locale => en
}
geoip {
source => "remote_ip"
fields => ["country_name", "city_name", "region_name", "location"]
}
useragent {
source => "agent"
target => "user_agent"
}
mutate {
convert => {
"bytes" => "integer"
}
remove_field => ["headers"]
}
mutate {
add_field => {
"[@metadata][index]" => "beta-nginx-logs_%{+YYYY.MM}"
}
}
if "_grokparsefailure" in [tags] {
mutate {
replace => {
"[@metadata][index]" => "beta-nginx-logs-failure_%{+YYYY.MM}"
}
}
} else {
mutate {
remove_field => ["message"]
}
}
}
# 将解析后的日志存储在elasticsearch中
output {
elasticsearch {
hosts => "127.0.0.1:9200"
index => "%{[@metadata][index]}"
document_type => "doc"
}
}
# output {
# stdout {
# codec => rubydebug
# }
# }
以上注释部分用于调试。
启动Logstash
cd /home/work/lib/elk/logstash && nohup ./bin/logstash -f config/conf.d/beta-nginx-access-log.conf -r &
这时如果一切正常的话，可以验证elasticsearch是否有数据：
[root@monitor config]# curl -X GET localhost:9200/_cat/indices
green open .kibana 4w1jeWuET_yRWArBXkBtmA 1 0 4 0 37.7kb 37.7kb
yellow open beta-nginx-logs_2018.07 cTykSOQfSp2Z4Tkse0Gftw 5 1 1439 0 2mb 2mb
green open .monitoring-es-6-2018.08.17 VUfYnzMdTsmP3A-vo-gutw 1 0 14335 392 7mb 7mb
yellow open filebeat-6.3.1-2018.08.17 haqPjrPdRtSEuPJWjzMqiA 3 1 8038175 0 2.3gb 2.3gb
green open .monitoring-kibana-6-2018.08.17 LF_txPzORUGYDYr-SW-jPw 1 0 1149 0 361.5kb 361.5kb
yellow open beta-nginx-logs_2018.06 xdWR7EdnSCehLH7H2iZYBA 5 1 198 0 583.1kb 583.1kb
yellow open beta-nginx-logs-failure_2018.08 H_1mvh3MQ2GsnVOEGtw9IQ 5 1 29739 0 12.3mb 12.3mb
yellow open beta-nginx-logs_2018.08 jTNfJ44mQr2ofQugG9B3dQ 5 1 1249 0 3mb 3mb
可以看到
beta-nginx-logs_2018.06\07\08是我们在logstash的日志解析配置文件beta-nginx-access-log.conf中定义的索引。这就表明日志经过过滤解析后，已经存储到ES中了。
2.5 安装配置Kibana
Kibana依赖于node，所以先配置node
tar xvf node-v8.11.3-linux-x64.tar.gz
ln -sv node-v8.11.3-linux-x64 node
# 配置环境变量
vim /etc/profile
export NODE_HOME=/home/work/lib/node
export PATH=$PATH:/home/work/lib/node/bin
source /etc/profile
# 解压
tar xvf kibana-6.3.1-linux-x86_64.tar.gz -C /home/work/lib/elk/kibana
# 编辑配置文件
[root@monitor kibana]# grep "^[a-z]" config/kibana.yml
server.port: 5701 # kibana监听的端口
server.host: "0.0.0.0"
elasticsearch.url: "http://localhost:9200" # es地址
# 启动kibana
nohup /home/work/lib/elk/kibana/bin/kibana serve &
访问kibana: http://IP:5701 , 如下图
image.png
点击Management --> Index Patterns 创建索引
image.png
配置索引
image.png
选择时间过滤字段名称
image.png
创建完成后，会显示索引里每个字段的数据类型
image.png
点击Discover
image.png
选择字段查看结果
image.png
至此，完成！
参考博客：
