简单的 docker 部署ELK

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简单的 docker 部署ELK

这是我的运维同事部署ELK的文档，我这里记录转载一下

服务规划

架构: Filebeat->kafka->logstash->ES
在这里插入图片描述

部署服务	程序路径/数据目录	端口	配置文件
elasticsearch	/data/elasticsearch	9200	/data/elasticsearch/config/elasticsearch.yml
logstash	/data/logstash	–	/data/logstash/config/logstash.yml
kibana	/data/kibana	5601	/data/kibana/config/kibana.yml
filebeat	/data/filebeat	–	/data/filebeat/config/filebeat.yml

索引服务-Elasticsearch

创建数据目录

mkdir -pv /data/elasticsearch/{config,data,logs}
chown 1000 /data/elasticsearch/{data,logs}

修改主机配置

vim /etc/sysctl.conf
加入
vm.max_map_count=655360
sysctl -p

vim /etc/security/limits.conf
加入
* soft memlock unlimited
* hard memlock unlimited

配置文件

cat > /data/elasticsearch/config/elasticsearch.yml << 'EOF'
cluster.name: ccms-es-cluster
node.name: ccms-es1
network.host: 172.16.20.51
http.port: 9200
bootstrap.memory_lock: true

# 允许跨域访问
http.cors.enabled: true
http.cors.allow-origin: "*"
http.cors.allow-methods: "OPTIONS, HEAD, GET, POST, PUT, DELETE"
http.cors.allow-headers: "Authorization, X-Requested-With, Content-Type, Content-Length, X-User"

# Cluster
node.master: true
node.data: true
transport.tcp.port: 9300
discovery.seed_hosts: ["172.16.20.51","172.16.20.52","172.16.20.53"]
cluster.initial_master_nodes: ["ccms-es1","ccms-es2","ccms-es3"]

cluster.routing.allocation.same_shard.host: true
cluster.routing.allocation.node_initial_primaries_recoveries: 4
cluster.routing.allocation.node_concurrent_recoveries: 4

# X-Pack
xpack.security.enabled: true
xpack.license.self_generated.type: basic
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.keystore.path: elastic-certificates.p12
xpack.security.transport.ssl.truststore.path: elastic-certificates.p12
EOF

chown 1000 /data/elasticsearch/config/*
# 容器启动后先生成证书, 分发到各个节点的config目录下, 再重启es容器

discovery.zen.minimum_master_nodes算法: 节点数/2+1

# 设置ES密码:
# 自动设置密码命令
elasticsearch-setup-passwords auto
# 或者
# 自定义密码命令
elasticsearch-setup-passwords interactive

# es-head登录
http://172.16.20.52:9200/?auth_user=elastic&auth_password=elastic123456

# 生成证书(证书不需要设置密码):
cd /usr/share/elasticsearch/config/
elasticsearch-certutil ca -out config/elastic-certificates.p12 -pass ""

docker-compose编排

mkdir -pv /data/docker-compose/elasticsearch/
cat > /data/docker-compose/elasticsearch/docker-compose.yml << EOF
version: "3"
services:
  es:
    container_name: es
    image: elasticsearch:7.11.1
    network_mode: host
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime
      - /data/elasticsearch/config:/usr/share/elasticsearch/config
      - /data/elasticsearch/data:/usr/share/elasticsearch/data
      - /data/elasticsearch/logs:/usr/share/elasticsearch/logs
    environment:
      TZ: Asia/Shanghai
      bootstrap.memory_lock: true
      ES_JAVA_OPTS: "-Xmx8G -Xms8G"
      ELASTIC_PASSWORD: "G1T@es2022#ccms"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    deploy:
      resources:
        limits:
           memory: 10G
EOF

# 1. 解决es-head跨域问题(浏览器报: Request header field Content-Type is not allowed by Access-Control-Allow-Headers)
# es配置文件加入:
http.cors.enabled: true
http.cors.allow-origin: "*"
http.cors.allow-methods: "OPTIONS, HEAD, GET, POST, PUT, DELETE"
http.cors.allow-headers: "X-Requested-With, Content-Type, Content-Length, X-User"

# 2. 解决es-head数据浏览空白(浏览器报: 406 Not Acceptable)
# 修改es-head代码文件vendor.js
# 第6886行左右
contentType: "application/x-www-form-urlencoded" --> contentType: "application/json;charset=UTF-8"

启动

docker-compose up -d

日志采集-Filebeat

创建数据目录

mkdir -pv /data/filebeat/{config,data}

配置文件

发送到kafka

cat > /data/filebeat/config/filebeat.yml << 'EOF'
###################### Filebeat Configuration Example #########################
filebeat.name: ccms-test-08
filebeat.idle_timeout: 5s
filebeat.spool_zie: 2048

#----------------------------------input form ccms servers--------------------------------#
filebeat.inputs:
- type: log
  enabled: true
  paths:
   - /opt/ccms-auto-deploy/credit-business/*/*/target/logs/*.log
   - /opt/ccms-auto-deploy/credit-support/*/*/target/logs/*.log
  fields:
    kafka_topic: topic-ccms-dev
  fields_under_root: true

  # filebeat 多行日志的处理
  multiline.pattern: '^\['
  multiline.negate: true
  multiline.match: after

  encoding: plain
  tail_files: false

  # 检测指定目录下文件更新时间
  scan_frequency: 3s
  # 每隔1s检测一下文件变化，如果连续检测2次之后文件还没有变化，下一次检测间隔时间变为5s
  backoff: 1s
  max_backoff: 5s
  backoff_factor: 2

#----------------------------------input form nginx access_log--------------------------------#
- type: log
  enabled: true
  paths:
   - /data/nginx/logs/ccms-access.log
  fields:
    kafka_topic: topic-nginx-access
  fields_under_root: true

  encoding: plain
  tail_files: false

  json.keys_under_root: true
  json.overwrite_keys: true
  json.add_error_key: false

  # 检测指定目录下文件更新时间
  scan_frequency: 3s
  # 每隔1s检测一下文件变化，如果连续检测2次之后文件还没有变化，下一次检测间隔时间变为5s
  backoff: 1s
  max_backoff: 5s
  backoff_factor: 2

#----------------------------------Kafka output--------------------------------#
output.kafka:
  enabled: true
  hosts: ['3.1.101.33:9092','3.1.101.34:9092','3.1.101.35:9092']
  topic: '%{[kafka_topic]}'
EOF

docker-compose编排

mkdir -pv /data/docker-compose/filebeat
cat > /data/docker-compose/filebeat/docker-compose.yml << EOF
version: "3"
services:
  filebeat:
    container_name: filebeat
    image: elastic/filebeat:7.11.1
    user: root
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime
      - /data/filebeat/config/filebeat.yml:/usr/share/filebeat/filebeat.yml
      - /data/filebeat/data:/usr/share/filebeat/data/registry
      - /opt/ccms-auto-deploy:/opt/ccms-auto-deploy
      - /data/nginx/logs:/data/nginx/logs/
    deploy:
      resources:
        limits:
           memory: 4G
        reservations:
           memory: 1G
EOF

启动

docker-compose up -d

安装kibana仪表盘

docker-compose exec filebeat filebeat setup --dashboards

过滤服务-Logstash

创建数据目录

mkdir -pv /data/logstash/{config,data,pipeline,logs}
chown 1000.1000 /data/logstash/{config,data,pipeline,logs}

配置文件

logstash.yml

cat > /data/logstash/config/logstash.yml << 'EOF'
node.name: logstast-node1
http.host: "0.0.0.0"
path.data: data
path.logs: /usr/share/logstash/logs
config.reload.automatic: true
config.reload.interval: 5s
config.test_and_exit: false
EOF

如果使用pipeline管道,不要配置path.config

pipelines.yml

cat > /data/logstash/config/pipelines.yml << 'EOF'
- pipeline.id: ccms-credit-java
  path.config: "/usr/share/logstash/pipeline/ccms-credit-java.conf"
- pipeline.id: ccms-credit-nginx-access
  path.config: "/usr/share/logstash/pipeline/ccms-credit-nginx-access.conf"
- pipeline.id: ccms-credit-nginx-error
  path.config: "/usr/share/logstash/pipeline/ccms-credit-nginx-error.conf"
EOF

pipeline配置文件

pipeline/ccms-credit-java.conf

cat > /data/logstash/pipeline/ccms-credit-java.conf<< 'EOF'
input {
   kafka {
    topics_pattern => "topic-ccms-credit-sit-java"
    bootstrap_servers => "172.16.20.51:9092,172.16.20.52:9092,172.16.20.53:9092"
    consumer_threads => 4
    decorate_events => true
    group_id => "kafka-ccms-credit-sit-java"
    add_field => {"logstash-server" => "172.16.20.51"}
   }
}

filter {
    json {
      source => "message"
    }

    grok {
      match => { "message" => "\[%{TIMESTAMP_ISO8601:currentDateTime}\] \[%{LOGLEVEL:level}\] \[%{DATA:traceInfo}\] \[%{NOTSPACE:class}\] \[%{DATA:hostName}\] \[%{IP:hostIp}\] \[%{DATA:applicationName}\] \[%{DATA:location}\] \[%{DATA:messageInfo}\] ## %{QUOTEDSTRING:throwable}" }
    }

    mutate{
      enable_metric => "false"
      remove_field => ["ecs","tags","input","agent","@version","log","port","host","message"]
    }

    date {
      match => [ "currentDateTime", "ISO8601" ]
    }
}

output {
        elasticsearch {
        hosts => ["172.16.20.51:9200","172.16.20.52:9200","172.16.20.53:9200"]
        user => "elastic"
        password => "G1T@es2022#ccms"
        index => "index-ccms-credit-sit-java_%{+YYY-MM-dd}"
        sniffing => true
        template_overwrite => true
    }
}
EOF

pipeline/ccms-credit-nginx-access.conf

cat > /data/logstash/pipeline.d/ccms-nginx-access.conf<< 'EOF'
input {
   kafka {
    topics_pattern => "topic-ccms-credit-sit-nginx-access"
    bootstrap_servers => "172.16.20.51:9092,172.16.20.52:9092,172.16.20.53:9092"
    codec => "json"
    consumer_threads => 4
    decorate_events => true
    group_id => "kafka-ccms-credit-sit-nginx-access"
    add_field => {"logstash-server" => "172.16.20.51"}
   }
}

filter {
  geoip {
      source => "client_ip"
      target => "geoip"
      add_field => [ "[geoip][coordinates]", "%{[geoip][longitude]}" ]
      add_field => [ "[geoip][coordinates]", "%{[geoip][latitude]}" ]
      remove_field => [ "[geoip][latitude]", "[geoip][longitude]", "[geoip][country_code2]","[geoip][country_code3]", "[geoip][timezone]", "[geoip][continent_code]", "[geoip][dma_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" ]
  }


  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 {
        elasticsearch {
        hosts => ["172.16.20.51:9200","172.16.20.52:9200","172.16.20.53:9200"]
        user => "elastic"
        password => "G1T@es2022#ccms"
        index => "logstash-ccms-credit-sit-nginx-access_%{+YYY-MM-dd}"
        sniffing => true
        template_overwrite => true
    }
}
EOF

pipeline/ccms-credit-nginx-error.conf

cat > /data/logstash/pipeline.d/ccms-nginx-error.conf<< 'EOF'
input {
   kafka {
    topics_pattern => "topic-ccms-credit-sit-nginx-error"
    bootstrap_servers => "172.16.20.51:9092,172.16.20.52:9092,172.16.20.53:9092"
    consumer_threads => 4
    decorate_events => true
    group_id => "kafka-ccms-credit-sit-nginx-error"
    add_field => {"logstash-server" => "172.16.20.51"}
    enable_metric => true
   }
}

filter {
    json {
      source => "message"
    }

    grok {
      match => [
        "message", "%{DATESTAMP:currentDateTime}\s{1,}\[%{LOGLEVEL:level}\]\s{1,}(%{NUMBER:pid:int}#%{NUMBER}:\s{1,}\*%{NUMBER})\s{1,}(%{GREEDYDATA:messageInfo})(?:,\s{1,}client:\s{1,}(?<client>%{IP}|%{HOSTNAME}))(?:,\s{1,}server:\s{1,}%{IPORHOST:server})(?:, request: %{QS:request})?(?:, upstream: \"%{URI:endpoint}\")?(?:, host: \"%{HOSTPORT:host}\")?(?:, referrer: \"%{URI:referrer}\")?",
        "message", "%{DATESTAMP:currentDateTime}\s{1,}\[%{DATA:level}\]\s{1,}%{GREEDYDATA:messageInfo}"]
    }

    date{
      match => ["currentDateTime", "yy/MM/dd HH:mm:ss", "ISO8601"]
      timezone => "+08:00"
      target => "@timestamp"
    }

    mutate{
      enable_metric => "false"
      remove_field => [ "ecs","tags","input","agent","@version","log","port","host","message" ]
    }
}

output {
        elasticsearch {
        hosts => ["172.16.20.51:9200","172.16.20.52:9200","172.16.20.53:9200"]
        user => "elastic"
        password => "G1T@es2022#ccms"
        index => "logstash-ccms-credit-sit-nginx-error_%{+YYY-MM-dd}"
        sniffing => true
        template_overwrite => true
    }
}
EOF

docker-compose编排

mkdir -pv /data/docker-compose/logstash
cat > /data/docker-compose/logstash/docker-compose.yml << EOF
version: "3"
services:
  logstash:
    container_name: logstash
    image: 172.16.20.50:8005/public/logstash:7.11.1
    user: root
    network_mode: host
    restart: always
    volumes:
      - /etc/localtime:/etc/localtime
      - /data/logstash/config:/usr/share/logstash/config
      - /data/logstash/data:/usr/share/logstash/data
      - /data/logstash/pipeline:/usr/share/logstash/pipeline
    environment:
      TZ: Asia/Shanghai
      LS_JAVA_OPTS: "-Xmx8G -Xms8G"
    deploy:
      resources:
        limits:
           memory: 10G
EOF

启动

docker-compose up -d

展示服务-Kibana

创建数据目录

mkdir -pv /data/kibana/{config,logs}
chown 1000 /data/kibana/{config,logs}

配置文件

cat > /data/kibana/config/kibana.yml << 'EOF'
# Default Kibana configuration for docker target
server.name: ccms-kibana
server.port: 5601
server.host: "0"
elasticsearch.hosts: [ "http://172.16.20.51:9200","http://172.16.20.52:9200","http://172.16.20.53:9200" ]
monitoring.ui.container.elasticsearch.enabled: true
i18n.locale: "zh-CN"
map.tilemap.url: 'http://webrd02.is.autonavi.com/appmaptile?lang=zh_cn&size=1&scale=1&style=7&x={x}&y={y}&z={z}'

xpack.security.enabled: true
xpack.security.encryptionKey: "fhjskloppd678ehkdfdlliverpoolfcr"
elasticsearch.username: "elastic"
elasticsearch.password: "G1T@es2022#ccms"
EOF

docker-compose编排

mkdir -pv /data/docker-compose/kibana/
cat > /data/docker-compose/kibana/docker-compose.yml << EOF
version: "3"
services:
  kibana:
    container_name: kibana
    image: kibana:7.11.1
    restart: always
    ports:
      - "5601:5601"
    volumes:
      - /data/kibana/config/kibana.yml:/opt/kibana/config/kibana.yml
EOF

启动

docker-compose up -d

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简单的 docker 部署ELK

简单的 docker 部署ELK

服务规划

索引服务-Elasticsearch

创建数据目录

修改主机配置

配置文件

docker-compose编排

日志采集-Filebeat

创建数据目录

配置文件

发送到kafka

docker-compose编排

过滤服务-Logstash

创建数据目录

配置文件

logstash.yml

pipelines.yml

pipeline配置文件

docker-compose编排

展示服务-Kibana

创建数据目录

配置文件

docker-compose编排

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