1.nginx配置
日志配置格式
log_format main
'{"@timestamp":"$time_iso8601",'
'"host":"$hostname",'
'"server_ip":"$server_addr",'
'"client_ip":"$remote_addr",'
'"xff":"$http_x_forwarded_for",'
'"domain":"$host",'
'"url":"$uri",'
'"referer":"$http_referer",'
'"args":"$args",'
'"upstreamtime":"$upstream_response_time",'
'"responsetime":"$request_time",'
'"request_method":"$request_method",'
'"status":"$status",'
'"size":"$body_bytes_sent",'
'"request_body":"$request_body",'
'"request_length":"$request_length",'
'"protocol":"$server_protocol",'
'"upstreamhost":"$upstream_addr",'
'"file_dir":"$request_filename",'
'"http_user_agent":"$http_user_agent"'
'}';
log_format aka_logs
'{"@timestamp":"$time_iso8601",'
'"host":"$hostname",'
'"server_ip":"$server_addr",'
'"client_ip":"$remote_addr",'
'"xff":"$remote_addr",'
'"domain":"$host",'
'"url":"$uri",'
'"referer":"$http_referer",'
'"args":"$args",'
'"upstreamtime":"$upstream_response_time",'
'"responsetime":"$request_time",'
'"request_method":"$request_method",'
'"status":"$status",'
'"size":"$body_bytes_sent",'
'"request_body":"$request_body",'
'"request_length":"$request_length",'
'"protocol":"$server_protocol",'
'"upstreamhost":"$upstream_addr",'
'"file_dir":"$request_filename",'
'"http_user_agent":"$http_user_agent"'
'}';
access_log /var/log/nginx/access.log aka_logs;
2.本机上安装filebeat
安装的版本和es一致即可，不做要求
安装过程--lve
filebeat配置
# cat /etc/filebeat/filebeat.yml
#=========================== Filebeat inputs =============================
filebeat.inputs: # inputs为复数，表名type可以有多个
- type: log # 输入类型
access:
enabled: true # 启用这个type配置
# 日志是json开启这个
json.keys_under_root: true # 默认这个值是FALSE的，也就是我们的json日志解析后会被放在json键上。设为TRUE，所有的keys就会被放到根节点
json.overwrite_keys: true # 是否要覆盖原有的key，这是关键配置，将keys_under_root设为TRUE后，再将overwrite_keys也设为TRUE，就能把filebeat默认的key值给覆盖
max_bytes: 20480 # 单条日志的大小限制,建议限制(默认为10M,queue.mem.events * max_bytes 将是占有内存的一部分)
paths:
- /var/log/nginx/access.log # 监控nginx 的access日志
# json.keys_under_root: true
# json.overwrite_keys: true
# json.add_error_key: true
fields: # 额外的字段
source: nginx # 自定义source字段，用于es建议索引（字段名小写，我记得大写好像不行）
# 自定义es的索引需要把ilm设置为false
setup.ilm.enabled: false
#-------------------------- Kafka output ------------------------------
output.kafka: # 输出到kafka
enabled: true # 该output配置是否启用
hosts: ["10.0.0.11:9092", "10.0.0.12:9092", "10.0.0.13:9092"] # kafka节点列表，根据自己的需求来
topic: "elk-%{[fields.source]}" # kafka会创建该topic，然后logstash(可以过滤修改)会传给es作为索引名称，根据自己的需求来
partition.hash:
reachable_only: true # 是否只发往可达分区
compression: gzip # 压缩
max_message_bytes: 1000000 # Event最大字节数。默认1000000。应小于等于kafka broker message.max.bytes值
required_acks: 1 # kafka ack等级
worker: 1 # kafka output的最大并发数
bulk_max_size: 2048 # 单次发往kafka的最大事件数
logging.to_files: true # 输出所有日志到file，默认true， 达到日志文件大小限制时，日志文件会自动限制替换，详细配置：https://www.cnblogs.com/qinwengang/p/10982424.html
close_older: 30m # 如果一个文件在某个时间段内没有发生过更新，则关闭监控的文件handle。默认1h
force_close_files: false # 这个选项关闭一个文件,当文件名称的变化。只在window建议为true
# 没有新日志采集后多长时间关闭文件句柄，默认5分钟，设置成1分钟，加快文件句柄关闭
close_inactive: 1m
# 传输了3h后没有传输完成的话就强行关闭文件句柄，这个配置项是解决以上案例问题的key point
close_timeout: 3h
# 这个配置项也应该配置上，默认值是0表示不清理，不清理的意思是采集过的文件描述在registry文件里永不清理，在运行一段时间后，registry会变大，可能会带来问题
clean_inactive: 72h
# 设置了clean_inactive后就需要设置ignore_older，且要保证ignore_older < clean_inactive
ignore_older: 70h
# 限制 CPU和内存资源
max_procs: 1 # 限制一个CPU核心,避免过多抢占业务资源
queue.mem.events: 256 # 存储于内存队列的事件数，排队发送 (默认4096)
queue.mem.flush.min_events: 128
3.安装自己的kafka集群和es集群（过程--略）
4.配置logstash
安装过程--略
cat /etc/logstash/conf.d/ # 一些注释的不删除了，有一些bug
input { # 输入组件
kafka { # 从kafka消费数据
bootstrap_servers => ["10.0.0.11:9092,10.0.0.12:9092,10.0.0.13:9092"]
#topics => "%{[@metadata][topic]}" # 使用kafka传过来的topic
topics_pattern => "elk-.*" # 使用正则匹配topic
codec => "json" # 数据格式
consumer_threads => 3 # 消费线程数量
decorate_events => true # 可向事件添加Kafka元数据，比如主题、消息大小的选项，这将向logstash事件中添加一个名为kafka的字段
auto_offset_reset => "latest" # 自动重置偏移量到最新的偏移量
group_id => "logstash-groups1" # 消费组ID，多个有相同group_id的logstash实例为一个消费组
client_id => "logstash1" # 客户端ID
fetch_max_wait_ms => "1000" # 指当没有足够的数据立即满足fetch_min_bytes时，服务器在回答fetch请求之前将阻塞的最长时间
}
}
#filter {
# # 因为Nginx前端有负载均衡，$remote_addr 字段不是用户真实ip地址
# # 本例获取 $http_x_forwarded_for 字段，$http_x_forwarded_for 字段第一个ip地址就是用户真实ip地址
# # 再nginx字段基础上添加 real_remote_addr 字段，用于存储用户真实ip地址
# if ([fields][source] =~ "nginx-access") {
# if "," in [xff] {
# mutate {
# split => ["xff", ","]
# add_field => { "real_remote_addr" => "%{[xff][0]}" }
# }
# } else if ([xff] == "-") {
# mutate {
# add_field => { "real_remote_addr" => "-" }
# }
# } else {
# mutate {
# add_field => { "real_remote_addr" => "%{xff}" }
# }
# }
#
# geoip {
# target => "geoip"
# source => "real_remote_addr"
# database => "/usr/share/logstash/data/GeoLite2-City/GeoLite2-City.mmdb"
# add_field => [ "[geoip][coordinates]", "%{[geoip][longitude]}" ]
# add_field => [ "[geoip][coordinates]", "%{[geoip][latitude]}" ]
# # 去掉显示 geoip 显示的多余信息
# remove_field => ["[geoip][latitude]", "[geoip][longitude]", "[geoip][country_code]", "[geoip][country_code2]", "[geoip][country_code3]", "[geoip][timezone]", "[geoip][continent_code]", "[geoip][region_code]"]
# }
#
# mutate {
# convert => {
# "[size]" => "integer"
# "[status]" => "integer"
# "[responsetime]" => "float"
# "[upstreamtime]" => "float"
# "[geoip][coordinates]" => "float"
# }
# }
#
# # 根据http_user_agent来自动处理区分用户客户端系统与版本
# useragent {
# source => "http_user_agent"
# target => "ua"
# # 过滤useragent没用的字段
# remove_field => [ "[ua][minor]","[ua][major]","[ua][build]","[ua][patch]","[ua][os_minor]","[ua][os_major]" ]
# }
# }
#}
filter {
geoip {
#multiLang => "zh-CN"
target => "geoip"
source => "client_ip"
database => "/usr/share/logstash/data/GeoLite2-City/GeoLite2-City.mmdb"
add_field => [ "[geoip][coordinates]", "%{[geoip][longitude]}" ]
add_field => [ "[geoip][coordinates]", "%{[geoip][latitude]}" ]
# 去掉显示 geoip 显示的多余信息
remove_field => ["[geoip][latitude]", "[geoip][longitude]", "[geoip][country_code]", "[geoip][country_code2]", "[geoip][country_code3]", "[geoip][timezone]", "[geoip][continent_code]", "[geoip][region_code]"]
}
mutate {
convert => [ "size", "integer" ]
convert => [ "status", "integer" ]
convert => [ "responsetime", "float" ]
convert => [ "upstreamtime", "float" ]
convert => [ "[geoip][coordinates]", "float" ]
# 过滤 filebeat 没用的字段,这里过滤的字段要考虑好输出到es的，否则过滤了就没法做判断
remove_field => [ "ecs","agent","host","cloud","@version","input","logs_type" ]
}
# 根据http_user_agent来自动处理区分用户客户端系统与版本
useragent {
source => "http_user_agent"
target => "ua"
# 过滤useragent没用的字段
remove_field => [ "[ua][minor]","[ua][major]","[ua][build]","[ua][patch]","[ua][os_minor]","[ua][os_major]" ]
}
}
output { # 输出组件
elasticsearch {
# Logstash输出到es
hosts => ["10.0.0.11:9200", "10.0.0.12:9200", "10.0.0.13:9200"]
index => "logstash-%{[fields][source]}-%{+YYYY-MM-dd}" # 直接在日志中匹配，索引会去掉elk
user => "elastic"
password => "xxxxxxxxxx"
}
# stdout {
# }
}
5.GeoLite2-City.mmdb 安装
https://github.com/wp-statistics/GeoLite2-City #github 上找找就行了
将项目放在/usr/share/logstash/data/GeoLite2-City/GeoLite2-City.mmdb
6.安装grafana
下载grafana，使用docker更方便，不过本文要配置一些地图插件，所以选择rpm安装
https://grafana.com/grafana/download/6.6.2 ##下载6.62，11190 模板最支持6.62，所以我们选择6.62
7.安装地图相关插件
grafana-cli plugins install grafana-worldmap-panel
grafana-cli plugins install grafana-piechart-panel
8.部门地图不显示
cd /var/lib/grafana/plugins
sed -i 's/https://cartodb-basemaps{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png/http://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}.png/' grafana-worldmap-panel/src/worldmap.ts grafana-worldmap-panel/dist/module.js grafana-worldmap-panel/dist/module.js.map
sed -i 's/https://cartodb-basemaps-{s}.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png/http://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png/' grafana-worldmap-panel/src/worldmap.ts grafana-worldmap-panel/dist/module.js grafana-worldmap-panel/dist/module.js.ma
重启grafana
9.配置grafana
11190 模板
