SpringBoot3场景整合环境准备
目录
SpringBoot3—场景整合：环境准备
一、云服务器
- 阿里云 服务器开通
- 安装以下组件
- docker
- redis
- kafka
- prometheus
- grafana
- 下载windterm：
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
- Kafka
：
- Grafana
：
- Prometheus
：
- redis官方可视化工具
：
