macrozheng/mall-swarm

mall-swarm是一套微服务商城系统,采用了 Spring Cloud Alibaba、Spring Boot...

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Summary Information

Updated 43 minutes ago
Added to GitGenius on September 4th, 2026
Created on November 25th, 2019
Open Issues & Pull Requests: 10 (+0)
GitHub issues: Enabled
Number of forks: 5,528
Total Stargazers: 13,122 (+0)
Total Subscribers: 274 (+0)

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Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,412 days
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Stale 90+ days: 2

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Detailed Description

mall-swarm is a microservices e-commerce platform built with Spring Cloud Alibaba, Spring Boot 3.5, Sa-Token, MyBatis, Elasticsearch, Docker, and Kubernetes.

The project addresses the need to build scalable e-commerce systems by providing a complete microservices architecture that integrates core infrastructure components. It combines domain-specific e-commerce functionality with distributed system patterns, including service registration and discovery, centralized configuration management, monitoring, and API gateway capabilities. The system includes both a Vue-based admin dashboard and a storefront application, allowing developers to deploy a functional e-commerce platform rather than building from scratch.

mall-swarm suits teams building production e-commerce systems who want a reference implementation of Spring Cloud patterns in a realistic business context. It works well for organizations adopting microservices architecture and needing both the technical infrastructure and business logic layers. The project provides comprehensive documentation and learning materials alongside the codebase, making it valuable for teams learning Spring Cloud while building actual functionality.

The project maintains active development with regular updates to core dependencies and framework versions. The codebase demonstrates consistent attention to keeping pace with current Spring Cloud and Spring Boot releases. Documentation is treated as a first-class artifact with tutorials and guides maintained alongside the code. The project includes multiple deployment options through Docker and Kubernetes support, indicating ongoing investment in operational concerns beyond the application layer itself.