Elastic Stack收集Nginx访问日志

  1. 云栖社区>
  2. 博客>
  3. 正文

Elastic Stack收集Nginx访问日志

光银努力吧 2018-08-18 00:44:00 浏览605
展开阅读全文

一、架构图

img_0cdffd07318c9c814a04886cb2ea4f1a.png
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

Redis配置文件详解,请点击查看

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

img_c2adb4da8c6ce2ddb710f66a999c6d7c.png
image.png

点击Management --> Index Patterns 创建索引


img_66d5f411847062076d581db053eea58f.png
image.png

配置索引


img_2f5db151a34f3958136a0f3cb9c804cb.png
image.png

选择时间过滤字段名称


img_7077e4c61f93298342d40590c7057f3e.png
image.png

创建完成后,会显示索引里每个字段的数据类型


img_7d897d835ffd7dbeea4979c276351444.png
image.png

点击Discover


img_931de5c15aa8eedcc413148edf55ce93.png
image.png

选择字段查看结果


img_9a71b1eac9f2019e1145067dba0b71e8.png
image.png

至此,完成!

参考博客:

  1. 官方文档
  2. 史上超全面的Elasticsearch使用指南
  3. 搭建ELK日志分析平台(下)—— 搭建kibana和logstash服务器
  4. Filebeat,Redis和ELK6.x集中式日志解决方案
  5. Grok Debugger本地安装过程

网友评论

登录后评论
0/500
评论
光银努力吧
+ 关注