3节点ubuntu24.04服务器docker-compose方式部署高可用elk+kafka日志系统并接入nginx日志

发布于：2024-04-24 ⋅ 阅读:(23) ⋅ 点赞:(0)

一：系统版本:

二：部署环境：

节点名称

IP

部署组件及版本

配置文件路径

机器CPU

机器内存

机器存储

Log-001

10.10.100.1

zookeeper:3.4.13

kafka:2.8.1

elasticsearch:7.7.0

logstash:7.7.0

kibana:7.7.0

zookeeper:/data/zookeeper

kafka:/data/kafka

elasticsearch:/data/es

logstash:/data/logstash

kibana:/data/kibana

2*1c/16cores

62g

50g 系统

800g 数据盘

Log-002

10.10.100.2

zookeeper:3.4.13

kafka:2.8.1

elasticsearch:7.7.0

logstash:7.7.0

kibana:7.7.0

zookeeper:/data/zookeeper

kafka:/data/kafka

elasticsearch:/data/es

logstash:/data/logstash

kibana:/data/kibana

2*1c/16cores

62g

50g 系统

800g 数据盘

Log-003

10.10.100.3

zookeeper:3.4.13

kafka:2.8.1

elasticsearch:7.7.0

logstash:7.7.0

kibana:7.7.0

zookeeper:/data/zookeeper

kafka:/data/kafka

elasticsearch:/data/es

logstash:/data/logstash

kibana:/data/kibana

2*1c/16cores

62g

50g 系统

800g 数据盘

三：部署流程:

（1）安装docker和docker-compose

apt-get install -y docker 
wget https://github.com/docker/compose/releases/download/1.29.2/docker-compose-Linux-x86_64 mv docker-compose-Linux-x86_64 /usr/bin/docker-compose

（2）提前拉取需要用到的镜像

docker pull zookeeper:3.4.13 
docker pull wurstmeister/kafka 
docker pull elasticsearch:7.7.0 
docker pull daocloud.io/library/kibana:7.7.0 
docker pull daocloud.io/library/logstash:7.7.0 
docker tag wurstmeister/kafka:latest kafka:2.12-2.5.0 
docker tag docker.io/zookeeper:3.4.13 docker.io/zookeeper:3.4.13 
docker tag daocloud.io/library/kibana:7.7.0 kibana:7.7.0 
docker tag daocloud.io/library/logstash:7.7.0 logstash:7.7.0

（3）准备应用的配置文件

mkdir -p /data/zookeeper 
mkdir -p /data/kafka 
mkdir -p /data/logstash/conf 
mkdir -p /data/es/conf 
mkdir -p /data/es/data 
chmod 777 /data/es/data 
mkdir -p /data/kibana

（4）编辑各组件配置文件

## es配置文件
~]# cat /data/es/conf/elasticsearch.yml 

cluster.name: es-cluster
network.host: 0.0.0.0
node.name: master1      ## 每台节点需要更改此node.name,e.g master2,master3
http.cors.enabled: true
http.cors.allow-origin: "*" ## 防止跨域问题
node.master: true
node.data: true
network.publish_host: 10.10.100.1      ## 每台节点需要更改为本机IP地址
discovery.zen.minimum_master_nodes: 1
discovery.zen.ping.unicast.hosts: ["10.10.100.1","10.10.100.2","10.10.100.3"]
cluster.initial_master_nodes: ["10.10.100.1","10.10.100.2","10.10.100.3"]

## elasticsearch启动过程会有报错，提前做以下操作
~]# vim /etc/sysctl.conf
vm.max_map_count=655350
~]# sysctl -p
~]# cat /etc/security/limits.conf
*        -        nofile        100000
*        -        fsize        unlimited
*        -        nproc        100000           ## unlimited nproc for *

## logstash配置文件
~]# cat /data/logstash/conf/logstash.conf 

input{
  kafka{
    topics => ["system-log"]   ## 必须和前后配置的topic统一
      bootstrap_servers => ["10.10.100.1:9092,10.10.100.2:9092,10.10.100.3:9092"]
  }
}
filter{
  grok{
    match =>{ 
      "message" => "%{SYSLOGTIMESTAMP:timestamp} %{IP:ip} %{DATA:syslog_program} %{GREEDYDATA:message}"
    }
    overwrite => ["message"]
  }
  date {
    match => [ "syslog_timestamp", "MMM  d HH:mm:ss", "MMM dd HH:mm:ss" ]
  }
}

output{
  elasticsearch{
    hosts => ["10.10.100.1:9200","10.10.100.2:9200","10.10.100.3:9200"]
    index => "system-log-%{+YYYY.MM.dd}"
  }
  stdout{
    codec => rubydebug
  }
}

~]# cat /data/logstash/conf/logstash.yml

http.host: "0.0.0.0"
xpack.monitoring.elasticsearch.hosts: [ "http://10.10.100.1:9200","http://10.10.100.2:9200","http://10.10.100.3:9200" ]

## kibana配置文件
~]# cat /data/kibana/conf/kibana.yml 
#
# ** THIS IS AN AUTO-GENERATED FILE **
#

# Default Kibana configuration for docker target
server.name: kibana
server.host: "0.0.0.0"
elasticsearch.hosts: [ "http://10.10.100.1:9200","http://10.10.100.2:9200","http://10.10.100.3:9200" ]
monitoring.ui.container.elasticsearch.enabled: true

（5）所有组件的部署方式全部为docker-compose形式编排部署，docker-compose.yml文件所在路径/root/elk_docker_compose/，编排内容：

~]# mkdir /data/elk
~]# cat /root/elk_docker_compose/docker-compose.yml

version: '2.1'
services:
  elasticsearch:
    image: elasticsearch:7.7.0
    container_name: elasticsearch
    environment:
      ES_JAVA_OPTS: -Xms1g -Xmx1g
    network_mode: host
    volumes:
      - /data/es/conf/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - /data/es/data:/usr/share/elasticsearch/data
    logging:
      driver: json-file

  kibana:
    image: kibana:7.7.0
    container_name: kibana
    depends_on:
      - elasticsearch
    volumes:
      - /data/kibana/conf/kibana.yml:/usr/share/kibana/config/kibana.yml
    logging:
      driver: json-file
    ports:
      - 5601:5601

  logstash:
    image: logstash:7.7.0
    container_name: logstash
    volumes:
      - /data/logstash/conf/logstash.conf:/usr/share/logstash/pipeline/logstash.conf
      - /data/logstash/conf/logstash.yml:/usr/share/logstash/config/logstash.yml
    depends_on:
      - elasticsearch
    logging:
      driver: json-file
    ports:
      - 4560:4560

  zookeeper:
    image: zookeeper:3.4.13
    container_name: zookeeper
    environment:
      ZOO_PORT: 2181
      ZOO_DATA_DIR: /data/zookeeper/data
      ZOO_DATA_LOG_DIR: /data/zookeeper/logs
      ZOO_MY_ID: 1
      ZOO_SERVERS: "server.1=10.10.100.1:2888:3888 server.2=10.10.100.2:2888:3888 server.3=10.10.100.3:2888:3888"
    volumes:
      - /data/zookeeper:/data/zookeeper
    network_mode: host
    logging:
      driver: json-file

  kafka:
    image: kafka:2.12-2.5.0
    container_name: kafka
    depends_on:
      - zookeeper
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_PORT: 9092
      KAFKA_HEAP_OPTS: "-Xms1g -Xmx1g"
      KAFKA_HOST_NAME: 10.10.100.145
      KAFKA_ADVERTISED_HOST_NAME: 10.10.100.1
      KAFKA_LOG_DIRS: /data/kafka
      KAFKA_ZOOKEEPER_CONNECT: 10.10.100.1:2181,10.10.100.2:2181,10.10.100.3:2181
    network_mode: host
    volumes:
      - /data:/data
    logging:
      driver: json-file

（6）启动服务

#开始部署(三台节点分别修改配置文件和docker-compose配置)
~]# docker-compose up -d
#停止运行的容器实例
~]# docker-compose stop
#单独启动容器
~]# docker-compose up -d kafka

（7）验证集群各组件服务状态

(1) 验证zookeeper：
]# docker exec -it zookeeper bash
bash-4.4# zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /conf/zoo.cfg
Mode: follower

(2) 验证kafka：
]# docker exec -it kafka bash
bash-4.4# kafka-topics.sh --list --zookeeper 10.10.100.1:2181
__consumer_offsets
system-log

(3) 验证elasticsearch
]# curl '10.10.100.1:9200/_cat/nodes?v'ip            
heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
10.10.100.1           57          81   0    0.37    0.15     0.09 dilmrt    *      master2
10.10.100.2           34          83   0    0.11    0.10     0.06 dilmrt    -      master1
10.10.100.3           24          81   0    0.03    0.06     0.06 dilmrt    -      master3


(4) 验证kibana
浏览器打开http://10.10.100.1:5601

三：日志收集

（1）以nginx日志为例，安装filebeat日志采集器

apt-get install filebeat

（2）配置filebeat向kafka写数据

启用 Nginx 模块:
sudo filebeat modules enable nginx
配置 Nginx 模块: 编辑 /etc/filebeat/modules.d/nginx.yml，确保日志路径正确。例如：
- module: nginxaccess:enabled: truevar.paths: ["/var/log/nginx/access.log*"]
  error:enabled: truevar.paths: ["/var/log/nginx/error.log*"]
设置输出为 Kafka: 在 filebeat.yml 文件中，配置输出到 Kafka：
output.kafka:
  # Kafka 服务地址
  hosts: ["10.10.100.1:9092", "10.10.100.2:9092", "10.10.100.3:9092"]
  topic: "system-log"
  partition.round_robin:
    reachable_only: false
  required_acks: 1
  compression: gzip
  max_message_bytes: 1000000
重启 Filebeat:
sudo systemctl restart filebeat

（3）配置验证：使用 Filebeat 的配置测试命令来验证配置文件的正确性：

filebeat test config

（4）连接测试：可以测试 Filebeat 到 Kafka 的连接：

filebeat test output

（5）登录kibana控制台查看nginx日志是否已正常收集到

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