十六、SpringBoot场景整合-环境准备

# 0. 云服务器

阿里云 (opens new window)、腾讯云 (opens new window)、华为云 (opens new window) 服务器开通； 按量付费，省钱省心
安装以下组件
- docker
- redis
- kafka
- prometheus
- grafana
https://github.com/kingToolbox/WindTerm/releases/download/2.5.0/WindTerm_2.5.0_Windows_Portable_x86_64.zip 下载windterm

# 1. Docker安装

还不会docker的同学，参考【云原生实战（10~25集）】快速入门

https://www.bilibili.com/video/BV13Q4y1C7hS?p=10

sudo yum install -y yum-utils

sudo yum-config-manager \
    --add-repo \
    https://download.docker.com/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

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创建 /prod 文件夹，准备以下文件

# 2. 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']

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# 3. docker-compose.yml

version: '3.9'

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

  zookeeper:
    image: bitnami/zookeeper:latest
    container_name: zookeeper
    restart: always
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    networks:
      - backend

  kafka:
    image: bitnami/kafka:3.4.0
    container_name: kafka
    restart: always
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
    environment:
      ALLOW_PLAINTEXT_LISTENER: yes
      KAFKA_CFG_ZOOKEEPER_CONNECT: zookeeper:2181
      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

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# 4. 启动环境

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

# 5. 验证

Redis：你的ip:6379
- 填写表单，下载官方可视化工具：
- https://redis.com/redis-enterprise/redis-insight/#insight-form
Kafka：你的ip:9092
- idea安装大数据插件
Prometheus：你的ip:9090
- 直接浏览器访问
Grafana：你的ip:3000
- 直接浏览器访问

编辑

上次更新: 2024/05/30, 07:49:34

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