# techa03/goodsKill

🐎基于SpringCloud 2025.x + Dubbo 3.x + AI构建的模拟秒杀微服务项目，集成了Elasticsearch🔍、Gateway、Mybatis-Plus、Sharding-JDBC等常用开源组件

Repository: https://github.com/techa03/goodsKill
Canonical: https://ross.abutalabs.com/products/goodskill
Language: Java
License: MIT
License Family: permissive
Topics: sharding-jdbc, springcloud, springcloudalibaba, spring-boot, oauth2, java, ai
Last push: 2026-07-07T23:52:35+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 91, release rhythm 8, longevity 100
- inputs: {"age_days": 3553, "days_push": 57, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2423, forks 519 (observed 2026-08-28T04:06:50.698976+00:00)

## What it is
goodsKill is a Java-based microservices demo project simulating a flash-sale (seckill) e-commerce system, built on Spring Cloud 2025.x, Spring Boot 4.x, Dubbo 3.x, and JDK 21. It integrates a wide range of backend technologies—Nacos, Sharding-JDBC, Seata, Elasticsearch, Kafka/RabbitMQ, Redis, MongoDB, Spring AI, and OpenTelemetry-based observability—primarily as a learning and reference framework.

## Use cases
- learn how to build a flash-sale seckill system with microservices
- study a Spring Cloud + Dubbo reference architecture
- see database sharding and distributed transactions in practice
- explore Spring AI chatbot integration in a microservices app
- set up full-stack observability with OpenTelemetry and Grafana LGTM
- reference example of API gateway with dynamic routing and auth
- learn state machine based order status transitions
- compare message queue usage with Kafka and RabbitMQ

## When to choose
- you want a comprehensive, modern Java microservices learning codebase
- you need a working example of seckill/flash-sale patterns like sharding, caching, and async ordering
- you want to see Spring Cloud 2025.x, Dubbo 3.x, and Spring AI integrated together
- you are studying distributed transactions, observability, or gateway design in Java

## When to avoid
- you need a production-ready seckill system—the author explicitly notes it omits real-world details
- you want a minimal project; it intentionally integrates many tech stacks with high maintenance cost
- your stack is not JVM-based
- you need guaranteed scalability or security hardening for real traffic

## Facets
- artifact type: learning-resource
- maturity: active
- function: microservices, api-gateway, rpc, message-queue, caching, search-engine, monitoring, tracing, chatbot, auth, orm, workflow-automation
- domain: microservices, backend, developer-tools, education, e-commerce, large-language-models
- platform: jvm, self-hosted, windows
- tags: seckill, flash-sale, spring-cloud, spring-boot, dubbo, sharding-jdbc, nacos, elasticsearch, spring-ai, opentelemetry, demo-project, learning-project, distributed-transactions, seata, kafka, rabbitmq, redis, mongodb, mysql, postgresql, minio, flyway, sa-token, spring-statemachine, graphql, docker, linux, macos

## Member repositories
- techa03/goodsKill (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:50.698976+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:33:00.557293+00:00, confidence not recorded.
  - readme: https://github.com/techa03/goodsKill (fetched 2026-08-28T04:06:50.698976+00:00, sha 2709840f2545)
- Data as of 2026-08-30T08:39:29.467469+00:00.