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-utilssudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.reposudo yum install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-pluginsudo 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: 15sevaluation_interval: 15sscrape_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:latestcontainer_name: redisrestart: alwaysports:- "6379:6379"networks:- backendzookeeper:image: confluentinc/cp-zookeeper:latestcontainer_name: zookeeperrestart: alwaysenvironment:ALLOW_ANONYMOUS_LOGIN: yesZOOKEEPER_CLIENT_PORT: 2181ZOOKEEPER_TICK_TIME: 2000networks:- backendkafka:image: confluentinc/cp-kafka:latestcontainer_name: kafkarestart: alwaysdepends_on:- zookeeperports:- "9092:9092"environment:ALLOW_PLAINTEXT_LISTENER: yesKAFKA_BROKER_ID: 1KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1networks:- backendkafka-ui:image: provectuslabs/kafka-ui:latestcontainer_name:  kafka-uirestart: alwaysdepends_on:- kafkaports:- "8080:8080"environment:KAFKA_CLUSTERS_0_NAME: devKAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: kafka:9092networks:- backendprometheus:image: prom/prometheus:latestcontainer_name: prometheusrestart: alwaysvolumes:- ./prometheus.yml:/etc/prometheus/prometheus.ymlports:- "9090:9090"networks:- backendgrafana:image: grafana/grafana:latestcontainer_name: grafanarestart: alwaysdepends_on:- prometheusports:- "3000:3000"networks:- backendnetworks: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