The article details JD's 2024 compensation plan—including upgraded 19‑month salary tiers, year‑end bonuses, comprehensive employee benefits—offers practical advice on evaluating offers versus base salary, and provides a curated list of technical interview questions for JD candidates.
The article shares recent JD backend salary data ranging from 24k to 32k RMB per month, explains the compensation structure, and provides a step‑by‑step interview preparation guide covering project presentation, JWT, Redis, thread pools, MySQL‑Elasticsearch sync, isolation levels and performance analysis.
The article introduces JD's Buffalo distributed workflow scheduling system, detailing its dual-layer entity model, instance-based scheduling, high‑availability three‑tier architecture, performance optimizations such as horizontal scaling and event‑driven execution, as well as cold‑hot data separation and open APIs for future enhancements.
This article details how JD's massive‑scale shopping mini program achieved a two‑fold performance boost through systematic front‑end optimizations—including code‑package reduction, independent sub‑packages, async loading, pre‑download, selective code injection, first‑screen rendering tricks, and release‑frequency management—providing practical guidance for developers targeting large‑user bases.
This report details JD's mini‑program cross‑platform initiative for the Fast Delivery service, covering background, actions taken, research findings, progress achieved, planning considerations, risk mitigation, and expected benefits such as reduced cost, improved stability, and higher development efficiency.
The article examines JD’s low‑code development platform for WeChat mini‑programs, detailing its visual DSL, architecture, layered iOC design, feature set—including drag‑and‑drop canvas, UI components, data binding, and ChatGPT integration—while discussing trade‑offs between generic versus vertical solutions and the platform’s configuration principles.
This article explains how JD Supply Chain’s self‑built low‑code rule‑engine platform separates business logic from code, supports ultra‑high concurrency, enables non‑technical users to configure rules, and reduces a typical 10‑day delivery cycle to as fast as 0.5 day across dozens of core projects.
This article presents JD's data service platform, describing its origin, performance optimizations, flexible API generation, caching strategies, service orchestration, and governance, and includes a Q&A that addresses security, performance, and multi‑source data handling challenges.
This article presents JD Retail’s cloud‑native platformization of big data, covering the definition and evolution of cloud‑native concepts, the selection of underlying technologies, JD’s architectural choices and workflow coordination, and a broader view of cloud‑native application platform development.
MCube is a native dynamic rendering framework designed for JD's high‑value "golden flow" that enables one‑time development, multi‑device reuse, performance optimization, and reduced package size across iOS and Android, supporting rapid business iteration and extensive ecosystem co‑building.
This article details JD's adoption of Flink for real‑time computing, covering its evolution from Storm to Flink on Kubernetes, the platform architecture, major optimization techniques such as preview topology, backpressure handling, dynamic rebalance, checkpoint‑as‑savepoint, and outlines future plans including stream‑batch integration, stability improvements, intelligent operations, and AI integration.
The JD Frontend Technology Salon held on September 18, 2021 gathered internal and external experts to discuss cross‑platform development, open‑source initiatives, and HarmonyOS, presenting a series of technical talks, round‑table discussions, and Q&A sessions that highlighted current practices, challenges, and future directions in front‑end engineering.
This article introduces JD's open‑source federated learning platform 9N‑FL, explaining the data‑island problem, the fundamentals and classifications of federated learning, its four key features, the system’s layered architecture, development timeline, real‑world advertising use case results, and future enhancements.
The article details JD Digital Technology's comprehensive technical preparation for the 6.18 shopping festival, describing how 13 cross‑functional teams performed system scaling, multi‑layer performance testing, architecture upgrades, risk management, data pipeline enhancements, and 24/7 monitoring to ensure a stable, high‑throughput promotion environment.
This article details JD's API gateway implementation, covering its background, core features, three‑layer architecture, high‑concurrency techniques using asynchronous processing, fine‑grained security controls, gray‑release strategies, automated deployment, monitoring, and fault‑location mechanisms for large‑scale e‑commerce traffic.
The article presents a detailed technical analysis of JD's Archimedes project, describing its evolution from JDOS 2.0 to a large‑scale container scheduling platform that dramatically improves resource utilization, deployment speed, and cost efficiency across JD’s data centers.
The article explains JD's high standards for software reliability, describes the testing team's shift toward test development, outlines core software testing concepts, standards, and the distinction between testing and quality assurance, while also promoting a free copy of the related book.
The article provides a comprehensive overview of JD's invoice system, detailing its business lines, core modules, data sources, invoicing workflows—including forward and reverse invoicing—and the system's role in automating tax management and reducing operational risk.
This article introduces serverless computing and Function-as-a-Service (FaaS), outlines their advantages such as zero‑server management and elastic scaling, presents typical application scenarios, and details JD’s Fibonacci FaaS platform architecture, features, and deployment workflow.
This article explains the background, requirements, architectural design, technology selection, component structure, template definition, data handling, quality assurance measures, and future roadmap of JD's internal visual activity page builder platform, Tongtian Tower, highlighting its React‑based frontend implementation and open‑extension strategy.
The article examines Android P’s non‑SDK API restrictions, explains Google’s official dynamic delivery framework Android App Bundles, analyzes the challenges of large‑scale plugin architectures, and outlines JD’s roadmap for migrating from legacy plugin solutions to a component‑centric, AAB‑compatible platform.
This article details how JD's Life Technology Service Platform prepared for the 6.18 shopping festival through system upgrades, stress testing, monitoring enhancements, and emergency drills to ensure high availability, performance, and reliable service for users.
The presentation introduces JD's Data Model Component Management Platform, detailing its four core functions—risk control, effect evaluation, model fusion, and multi‑scenario application—while explaining how these capabilities improve model reliability, commercial value, and operational efficiency across numerous business products.
JD’s self‑constructed data center in Suqian, Jiangsu, combines innovative free‑cooling, high‑efficiency chillers, redundant power architecture, and advanced monitoring to deliver over 180 days of natural cooling, reduce PUE to ≤1.3, and ensure continuous operation with robust backup systems.
This article shares JD’s large‑scale monitoring system (MDC) design, covering its three‑tier architecture, agent‑based data collection, performance optimizations for SNMP/IPMI, low‑overhead deployment, high‑availability strategies, and practical lessons on scaling monitoring across thousands of physical machines and containers.
This article details JD's approach to smartwatch UI/UX design, covering scenario‑driven features, vibration control, five‑second interaction rules, streamlined workflows, flat information architecture, visual styling, and iterative product development to create a seamless wearable experience.
