SpringBoot3—场景整合：环境准备

一、云服务器

1. 阿里云服务器开通
2. 安装以下组件
   1. docker
   2. redis
   3. kafka
   4. prometheus
   5. grafana
3. 下载windterm：https://github.com/kingToolbox/WindTerm/releases/download/2.5.0/WindTerm_2.5.0_Windows_Portable_x86_64.zip

重要：开通云服务器以后，请一定在安全组设置规则，放行端口 

二、Docker安装

sudo yum install -y yum-utils

sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

sudo yum install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

sudo systemctl enable docker --now

#测试工作
docker ps
#  批量安装所有软件
docker compose  

创建 prod 文件夹（专门用于存放后面我们安装的东西），准备以下文件。注意：还要配置镜像源

vim /etc/docker/daemon.json

{
    "registry-mirrors": [
        "https://2a6bf1988cb6428c877f723ec7530dbc.mirror.swr.myhuaweicloud.com",
        "https://docker.m.daocloud.io",
        "https://hub-mirror.c.163.com",
        "https://mirror.baidubce.com",
        "https://your_preferred_mirror",
        "https://dockerhub.icu",
        "https://docker.registry.cyou",
        "https://docker-cf.registry.cyou",
        "https://dockercf.jsdelivr.fyi",
        "https://docker.jsdelivr.fyi",
        "https://dockertest.jsdelivr.fyi",
        "https://mirror.aliyuncs.com",
        "https://dockerproxy.com",
        "https://mirror.baidubce.com",
        "https://docker.m.daocloud.io",
        "https://docker.nju.edu.cn",
        "https://docker.mirrors.sjtug.sjtu.edu.cn",
        "https://docker.mirrors.ustc.edu.cn",
        "https://mirror.iscas.ac.cn",
    ]
}

sudo systemctl daemon-reload
sudo systemctl restart docker

三、prometheus.yml

global:
  scrape_interval: 15s
  evaluation_interval: 15s

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']

  - job_name: 'redis'
    static_configs:
      - targets: ['redis:6379']

  - job_name: 'kafka'
    static_configs:
      - targets: ['kafka:9092']

四、docker-compose.yml

version: '3.9'

services:
  redis:
    image: redis:latest
    container_name: redis
    restart: always
    ports:
      - "6379:6379"
    networks:
      - backend

  zookeeper:
    image: confluentinc/cp-zookeeper:latest
    container_name: zookeeper
    restart: always
    environment:
      ALLOW_ANONYMOUS_LOGIN: yes
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    networks:
      - backend

  kafka:
    image: confluentinc/cp-kafka:latest
    container_name: kafka
    restart: always
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
    environment:
      ALLOW_PLAINTEXT_LISTENER: yes
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    networks:
      - backend
  
  kafka-ui:
    image: provectuslabs/kafka-ui:latest
    container_name:  kafka-ui
    restart: always
    depends_on:
      - kafka
    ports:
      - "8080:8080"
    environment:
      KAFKA_CLUSTERS_0_NAME: dev
      KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: kafka:9092
    networks:
      - backend

  prometheus:
    image: prom/prometheus:latest
    container_name: prometheus
    restart: always
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"
    networks:
      - backend

  grafana:
    image: grafana/grafana:latest
    container_name: grafana
    restart: always
    depends_on:
      - prometheus
    ports:
      - "3000:3000"
    networks:
      - backend

networks:
  backend:
    name: backend

五、启动环境

docker compose -f docker-compose.yml up -d

六、验证

1. Kafka：
2. Grafana：
3. Prometheus：
4. redis官方可视化工具：Redis Insight