说明文档更新
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README.md
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README.md
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## 项目介绍
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`mall-swarm`是一套微服务商城系统,采用了 Spring Cloud Hoxton & Alibaba、Spring Boot 2.3、Oauth2、MyBatis、Elasticsearch、Docker、Kubernetes等核心技术,同时提供了基于Vue的管理后台方便快速搭建系统。`mall-swarm`在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全,附带全套Spring Cloud教程。
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`mall-swarm`是一套微服务商城系统,采用了 Spring Cloud 2021 & Alibaba、Spring Boot 2.7、Oauth2、MyBatis、Elasticsearch、Docker、Kubernetes等核心技术,同时提供了基于Vue的管理后台方便快速搭建系统。`mall-swarm`在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全,附带全套Spring Cloud教程。
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## 系统架构图
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## 项目演示
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- 后台管理系统: [https://www.macrozheng.com/admin/index.html](https://www.macrozheng.com/admin/index.html)
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- 后台管理系统: [https://www.macrozheng.com/admin/index.html](https://www.macrozheng.com/admin/index.html)
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- 移动端商城系统:[https://www.macrozheng.com/app/mainpage.html](https://www.macrozheng.com/app/mainpage.html)
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## 技术选型
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| ------------- | ------ | ------------------------------------------------------------ |
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| JDK | 1.8 | https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html |
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| Mysql | 5.7 | https://www.mysql.com/ |
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| Redis | 5.0 | https://redis.io/download |
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| Elasticsearch | 7.6.2 | https://www.elastic.co/cn/downloads/elasticsearch |
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| Kibana | 7.6.2 | https://www.elastic.co/cn/downloads/kibana |
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| Logstash | 7.6.2 | https://www.elastic.co/cn/downloads/logstash |
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| MongoDb | 4.2.5 | https://www.mongodb.com/download-center |
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| RabbitMq | 3.7.14 | http://www.rabbitmq.com/download.html |
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| nginx | 1.10 | http://nginx.org/en/download.html |
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| Redis | 7.0 | https://redis.io/download |
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| Elasticsearch | 7.17.3 | https://www.elastic.co/cn/downloads/elasticsearch |
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| Kibana | 7.17.3 | https://www.elastic.co/cn/downloads/kibana |
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| Logstash | 7.17.3 | https://www.elastic.co/cn/downloads/logstash |
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| MongoDb | 5.0 | https://www.mongodb.com/download-center |
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| RabbitMq | 3.10.5 | http://www.rabbitmq.com/download.html |
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| nginx | 1.22 | http://nginx.org/en/download.html |
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### 搭建步骤
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- 查看注册中心注册服务信息,访问地址:http://192.168.3.101:8848/nacos/
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- 监控中心应用信息,访问地址:http://192.168.3.101:8101
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- API文档信息,访问地址:http://192.168.3.101:8201
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- 日志收集系统信息,访问地址:http://192.168.3.101:5601
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- 可视化容器管理,访问地址:http://192.168.3.101:9000
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## 公众号
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