V2ray+Docker-compose+Caddy搭建教程

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V2ray+Docker-compose+Caddy搭建教程——V2ray科学上网节点搭建新方式

1.Docker安装

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curl -sSL https://get.docker.com | bash
service docker restart

2.docker -compose安装：

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curl -L "https://github.com/docker/compose/releases/download/1.26.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
ln -s /usr/local/bin/docker-compose /usr/bin/docker-compose

3.创建log文件同时在log目录下创建Caddy和V2ray文件夹

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mkdir -p config data log/caddy log/v2ray

4:配置V2ray配置文件config.json：

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vi config.json

配置修改成如下：

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{
 "log": {
  "loglevel": "warning",
  "access": "/var/log/v2ray/access.log",
  "error": "/var/log/v2ray/error.log"
 },
  "inbounds": [
    {
      "port": 端口自定义须与Caddy对应,
      "protocol": "vmess",
      "settings": {
        "clients": [
          {
            "id": "UUID自行替换",
            "alterId": 64
          }
        ]
      },
      "streamSettings": {
        "network": "ws",
        "wsSettings": {
        "path": "/ray"
        }
      }
    }
  ],
  "outbounds": [
    {
      "protocol": "freedom",
      "settings": {}
    }
  ]
}

5.配置docker-compose.yml

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version: '3'
services:
  v2ray:
    image: v2fly/v2fly-core
    container_name: v2ray
    volumes: 
      - ./config.json:/etc/v2ray/config.json
      - ./log/v2ray:/var/log/v2ray
      - /etc/timezone:/etc/timezone:ro
      - /etc/localtime:/etc/localtime:ro
    expose: 
      - "端口须与V2ray配置端口一致"
  caddy:
    image: caddy
    container_name: caddy
    volumes: 
      - ./Caddyfile:/etc/caddy/Caddyfile
      - ./data:/data
      - ./log/caddy:/var/log/caddy
      - ./config:/config
      - /etc/timezone:/etc/timezone:ro
      - /etc/localtime:/etc/localtime:ro
    ports: 
      - "443:443"

6.创建Caddyfile并配置：

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域名
{ 
  log {
    output file /var/log/caddy/caddy.log
  }
  tls you@gmail.com
  @websockets {
    header Connection Upgrade
    header Upgrade websocket
  }
  reverse_proxy @websockets v2ray://v2ray:端口与V2ray配置信息相同
}

7.启动
docker-compose up -d

8.设置开机启动
sudo systemctl start docker
sudo systemctl enable docker

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