docker compose 部署ELK 8.X及监控

1. 前置环境

安装docker

安装docker-compose

2. docker-compose yaml文件

# 在指定路径创建配置文件
vim docker-compose-es-kibana-logstash.yaml

version: "3"
services:
   elasticsearch: 
     restart: always
     image: docker.elastic.co/elasticsearch/elasticsearch:8.5.0
     container_name: elasticsearch
     hostname: elasticsearch
     network_mode: host
     privileged: true
     ulimits:
      memlock:
        soft: -1
        hard: -1
     environment:
      - "ES_JAVA_OPTS=-Xms8192m -Xmx8192m"
      - "http.host=0.0.0.0"
      - "node.name=es_node01"
      - "cluster.name=es_cluster"
      - "discovery.type=single-node"
     ports:
      - "9200:9200"
      - "9300:9300"
     volumes:
       - "/opt/config/es/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml"  
       - "/opt/config/es/plugins:/usr/share/elasticsearch/plugins:rw"
       - "/opt/data/es/data:/usr/share/elasticsearch/data:rw"
       
   kibana:
    restart: always
    container_name: kibana
    image: docker.elastic.co/kibana/kibana:8.5.0
    network_mode: host
    environment:
      - XPACK_MONITORING_COLLECTION_ENABLED="true"
    ports:
      - "5601:5601"
    volumes:
      - "/opt/config/kibana/config:/usr/share/kibana/config"
      
   logstash:
     image: docker.elastic.co/logstash/logstash:8.5.0
     container_name: logstash
     network_mode: host
     ports:
       - "9600:9600"
     restart: always
     volumes:
       - "/opt/config/logstash/config:/usr/share/logstash/config"
       - "/opt/config/logstash/pipeline:/usr/share/logstash/pipeline"
       - "/opt/data/logstash:/usr/share/logstash/data"
       - "/opt/logs/logstash:/usr/share/logstash/logs"

3. elasticsearch 配置

数据存储映射路径配置777权限
```
chmod -R 777 /opt/data/es/data
```

es配置文件

# 根据配置文件映射的路径，创建es配置文件
vim /opt/config/es/config/elasticsearch.yml

# 集群节点名称
node.name: "es_node01"

# 设置集群名称为elasticsearch
cluster.name: "es_cluster"

# 网络访问限制
network.host: 0.0.0.0

# 以单一节点模式启动
discovery.type: single-node

# 注意：ES 8.X的版本，需要使用 node.roles配置角色，否则启动报错
#当前该节点是不是有资格竞选主节点
#node.master: true
#当前该节点是否存储数据
#node.data: true
node.roles: [master,data,remote_cluster_client]

# 是否支持跨域
http.cors.enabled: true

# 表示支持所有域名
http.cors.allow-origin: "*"

# 设置映射端口
http.port: 9200

# 内部节点之间沟通端口
transport.port: 9300

# 内存交换的选项，官网建议为true
bootstrap.memory_lock: true

# 修改安全配置、关闭证书校验、启动xpack监控
xpack.security.http.ssl:
  enabled: false
xpack.security.transport.ssl:
  enabled: false
xpack.security.enabled: false
xpack.monitoring.collection.enabled: true

# http传输内容的最大容量
http.max_content_length: 200mb

4. logstash 配置

数据存储映射路径配置777权限
```
chmod -R 777 /opt/data/logstash
```

logstash配置文件

vim /opt/config/logstash/config/logstash.yml

# 开启xpack监控
xpack.monitoring.enabled: true
xpack.monitoring.elasticsearch.hosts: ["http://localhost:9200"]
xpack.monitoring.collection.interval: 10s

日志文件配置

vim /opt/config/logstash/config/log4j2.properties

status = error
name = LogstashPropertiesConfig

appender.console.type = Console
appender.console.name = plain_console
appender.console.layout.type = PatternLayout
appender.console.layout.pattern = [%d{ISO8601}][%-5p][%-25c]%notEmpty{[%X{pipeline.id}]}%notEmpty{[%X{plugin.id}]} %m%n

appender.json_console.type = Console
appender.json_console.name = json_console
appender.json_console.layout.type = JSONLayout
appender.json_console.layout.compact = true
appender.json_console.layout.eventEol = true

rootLogger.level = ${sys:ls.log.level}
rootLogger.appenderRef.console.ref = ${sys:ls.log.format}_console

pipelines配置文件

vim /opt/config/logstash/config/pipelines.yml

# This file is where you define your pipelines. You can define multiple.
# For more information on multiple pipelines,see the documentation:
#   https://www.elastic.co/guide/en/logstash/current/multiple-pipelines.html

- pipeline.id: main
  path.config: "/usr/share/logstash/pipeline"

配置logstash数据处理流程，依据实际项目需求配置，此处以input为kafka，output为es举例

vim /opt/config/logstash/pipeline/logstash-kafka-es.conf

input {
  kafka {
    bootstrap_servers => "localhost:9092"
    topics => ["topic1"]
    codec => "json"
  }
}

output {
  if [fields][type] == "topic1" {
    elasticsearch {
      hosts => ["http://localhost:9200"]
      index => "topic1-%{+YYYY.MM.dd}"
    }
  }
}

5. kibana 配置

vim /opt/config/kibana/config/kibana.yml

# Default Kibana configuration for docker target
i18n.locale: zh-CN
server.host: "0.0.0.0"
server.shutdownTimeout: "5s"
elasticsearch.hosts: [ "http://localhost:9200" ]
monitoring.ui.container.elasticsearch.enabled: true

#此处为新生成的kibana账号和密码
elasticsearch.username: "kibana"
elasticsearch.password: "123456"

xpack.monitoring.enabled: true
xpack.monitoring.elasticsearch.hosts: ["http://localhost:9200"]
xpack.monitoring.kibana.collection.enabled: true
xpack.monitoring.kibana.collection.interval: 10000

6. docker compose 启动/停止

在docker-compose yaml所在的路径运行启动或停车命令

# 启动
docker-compose -f docker-compose-es-kibana-logstash.yaml up -d

# 停止
docker-compose -f docker-compose-es-kibana-logstash.yaml down

7. 访问测试

es：http://ip:9200

kibana：http://ip:5601

kibana 监控集群状态：kibana --> Management --> 堆栈监测

在这里插入图片描述

原文地址：https://blog.csdn.net/u013071014/article/details/133796628