This project is a real-time order processing and monitoring system built using Kafka, PostgreSQL, and Grafana. It is designed for e-commerce inventory management and order analysis. Key features include:
- Generating real-time order data and sending it to Kafka
- Kafka Consumer stores orders in PostgreSQL
- Data visualization & analysis (order price distribution, inventory tracking)
- Inventory alerting (Grafana alerts when stock is low)
Message Queue: Kafka (Dockerized) Database: PostgreSQL Backend Services: Flask (Producer & Consumer) Data Visualization: Grafana Containerization: Docker, Docker-Compose
- High-Concurrency Optimization
Increase Kafka partitions for better throughput Implement batch inserts into PostgreSQL for higher efficiency 2. Advanced Data Monitoring Grafana alert notifications (Email / Slack support) Improve data integrity checks (Detect missing or abnormal orders) 3. Expand REST API Order query API for retrieving historical orders Inventory update API for stock adjustments
基于 Kafka + PostgreSQL + Grafana，构建了一个 实时订单处理与监控系统，适用于 电商库存管理、订单分析等场景。 核心功能包括：
实时生成订单数据 并发送到 Kafka Kafka 消费者（Consumer）存储订单至 PostgreSQL 数据分析 & 可视化（订单金额分布、库存监控） 库存告警（库存低于阈值时触发 Grafana 告警）
技术栈 消息队列：Kafka（Docker 部署） 数据库：PostgreSQL 后端服务：Flask（Producer & Consumer） 数据可视化：Grafana 容器化：Docker, Docker-Compose
未来优化方向
- 高并发优化 增加 Kafka 分区 提高吞吐量 批量写入 PostgreSQL 提升存储效率
- 数据监控升级 Grafana 告警通知（支持 Email / Slack） 增加数据完整性检查（防止异常订单）
- 扩展 REST API 支持订单查询 API 支持库存更新 API