This article explains how to design database tables and develop a PHP‑based backend for managing e‑commerce coupon activity rules, covering creation, editing, deletion, and logical controls such as usage limits, with step‑by‑step guidance on forms, POST handling, validation, and database operations.
This tutorial explains how to design and implement refund and after‑sale service management features in a PHP‑based e‑commerce system, covering database schema creation, request handling, and record display with complete code examples.
This article explains how to generate all possible product SKU combinations for an e‑commerce system by computing the Cartesian product of specification arrays, and provides two PHP implementations—one that returns SKU strings and another that returns nested arrays—along with sample output.
This tutorial presents a complete Python + Django e‑commerce mini‑project, outlining its main features, required environment, step‑by‑step installation commands, configuration changes, database setup, and how to run the application locally for self‑learners.
This tutorial demonstrates how to analyze an e‑commerce search page, use Selenium to automate browsing, extract product details across multiple pages, and store the collected data into a MySQL database, providing complete Python code and step‑by‑step explanations.
This comprehensive guide explains the core concepts of e‑commerce product systems—including SPU and SKU definitions, their relationships, and the complete product management workflow covering publishing, editing, inventory, payment, logistics, and status transitions—providing essential knowledge for building robust online retail platforms.
This article explains how well‑designed product categories serve as the backbone of an e‑commerce platform, covering the concepts of backend and frontend categories, the construction of category trees, and various mapping strategies that help both users find items quickly and operators manage large inventories efficiently.
This article explains how to build and manage product attribute libraries, covering the definition of attributes, their classification, grouping strategies, the relationship between attributes and categories, and brand handling to streamline e‑commerce product management at scale.
The talk outlines the unique operational challenges of a fast‑growing e‑commerce platform—including massive scale, frequent changes, cost pressures, and the trade‑off between speed and stability—and describes how the SRE team uses automation, capacity planning, and process engineering to deliver reliable, efficient services.
This article details how Xiaohongshu tackled rapid growth challenges by designing, implementing, and operating a full‑link performance testing platform in just two days, covering system architecture, testing models, collaborative deployment, capacity planning, and practical advice for teams seeking reliable e‑commerce load testing.
This article examines JD.com’s 618 shopping festival performance, the deployment of unmanned delivery robots, and the design and architecture of the ForceBot full‑link load‑testing system that enabled precise capacity planning and bottleneck detection for massive e‑commerce traffic.
This article outlines a comprehensive PDCA‑based methodology for e‑commerce platforms to proactively prevent issues, quickly detect anomalies, and execute rapid decisions during large‑scale promotions, covering system goal definition, performance evaluation, capacity planning, SLA management, and team/process maturity.
This article shares practical strategies for designing a cost‑effective, highly available infrastructure for a fresh‑food e‑commerce business, covering business model impact, virtual‑physical hybrid data centers, cloud‑on‑premise balance, open‑source tools, load balancing, monitoring, security, and internal service systems.
This article, based on the Efficient Operations Community Talk, outlines the evolution of e‑commerce systems, the challenges faced during rapid growth, and how LeTV’s e‑commerce cloud leverages micro‑service architecture, container technology, and hybrid cloud solutions to address scalability, security, and operational efficiency.
This article explains how an e‑commerce platform leverages a hybrid cloud architecture to handle massive traffic spikes from marketing events while optimizing costs, and outlines six key considerations for successful implementation.
This guide walks developers through rapidly onboarding a SpringBoot 3 and Vue‑based e‑commerce system, covering project overview, setup, core features, technology stack, business logic, deployment, and extending the code for new requirements.
This article introduces the open‑source mall project—a SpringBoot + Vue + uni‑app e‑commerce platform with over 60 K GitHub stars—detailing its payment flow, architecture, tech stack, video tutorial series, and how to join the learning community for hands‑on development experience.
This article explains the complete e‑commerce payment flow, identifies why orders can be paid twice—including lack of deduplication, lost orders, and multi‑channel issues—and presents practical solutions such as distributed locking, result caching, transaction cancellation, refunds, active polling, and sync‑async notifications to reliably avoid duplicate payments.
The article chronicles the evolution of the open‑source Java e‑commerce project “mall”, detailing its rise from 20K to over 40K GitHub stars, the transition to microservices with Spring Cloud, deployment enhancements, auxiliary tools like Docker, Jenkins and MinIO, and future ecosystem plans.
This article introduces mall‑swarm, a Spring Cloud‑based microservice e‑commerce platform, outlines its architecture, backend technology stack, project structure, and provides a detailed learning roadmap with tutorials, deployment guides, and integration tips for both backend and frontend developers.