BestHub
Sign in
Tag

JD

0 views collected around this technical thread.

JD Retail Technology
JD Retail Technology
Jul 22, 2024 · Big Data

Design and Architecture of JD's Buffalo Distributed Workflow Scheduling System

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.

Big DataBuffaloHigh Availability
0 likes · 10 min read
Design and Architecture of JD's Buffalo Distributed Workflow Scheduling System
JD Tech
JD Tech
Feb 5, 2024 · Frontend Development

Systematic Performance Optimization of JD Shopping Mini Program for Billion‑User Scale

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.

JDOptimizationPerformance
0 likes · 13 min read
Systematic Performance Optimization of JD Shopping Mini Program for Billion‑User Scale
JD Retail Technology
JD Retail Technology
Oct 8, 2023 · Mobile Development

Cross‑Platform Development of JD Mini‑Program for Fast Delivery: Background, Action, Research, Progress, and Planning

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.

DeploymentJDPerformance
0 likes · 9 min read
Cross‑Platform Development of JD Mini‑Program for Fast Delivery: Background, Action, Research, Progress, and Planning
DataFunSummit
DataFunSummit
Jan 29, 2023 · Big Data

Data Serviceization at JD: From Zero to One and Beyond

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.

APIBig DataData Service
0 likes · 11 min read
Data Serviceization at JD: From Zero to One and Beyond
DataFunSummit
DataFunSummit
Jun 5, 2022 · Cloud Native

JD Retail Big Data Cloud‑Native Platform Practice

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.

Big DataJDKubernetes
0 likes · 15 min read
JD Retail Big Data Cloud‑Native Platform Practice
JD Retail Technology
JD Retail Technology
May 16, 2022 · Mobile Development

MCube: A Cross‑Platform Native Dynamic UI Solution for JD App

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.

JDMCubeMobile
0 likes · 14 min read
MCube: A Cross‑Platform Native Dynamic UI Solution for JD App
DataFunTalk
DataFunTalk
Jan 1, 2022 · Big Data

JD's Flink Journey: Evolution, Optimizations, and Future Directions

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.

Big DataFlinkJD
0 likes · 10 min read
JD's Flink Journey: Evolution, Optimizations, and Future Directions
JD Retail Technology
JD Retail Technology
Sep 24, 2021 · Frontend Development

Recap of JD Frontend Technology Salon 2021: Cross‑Platform, Open‑Source, and HarmonyOS Insights

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.

HarmonyOSJDTechnology Salon
0 likes · 10 min read
Recap of JD Frontend Technology Salon 2021: Cross‑Platform, Open‑Source, and HarmonyOS Insights
DataFunTalk
DataFunTalk
May 28, 2021 · Artificial Intelligence

JD's Open‑Source Federated Learning Solution 9N‑FL: Architecture, Features, Timeline, and Business Impact

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.

9N-FLBig DataData Security
0 likes · 15 min read
JD's Open‑Source Federated Learning Solution 9N‑FL: Architecture, Features, Timeline, and Business Impact
JD Retail Technology
JD Retail Technology
Jun 15, 2020 · Operations

JD Digital Technology's 6.18 Promotion Technical Preparation Overview

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.

6.18JDOperations
0 likes · 16 min read
JD Digital Technology's 6.18 Promotion Technical Preparation Overview
Architecture Digest
Architecture Digest
Jan 24, 2020 · Backend Development

JD API Gateway Practice: Architecture, High Concurrency, Security, Gray Release, and Automated Operations

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.

API GatewayAutomationJD
0 likes · 9 min read
JD API Gateway Practice: Architecture, High Concurrency, Security, Gray Release, and Automated Operations
JD Tech
JD Tech
Jan 17, 2019 · Operations

Technical Overview of JD's Archimedes Resource Scheduling System

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.

AIContainer OrchestrationJD
0 likes · 6 min read
Technical Overview of JD's Archimedes Resource Scheduling System
JD Tech
JD Tech
Nov 16, 2018 · Fundamentals

Software Testing and Quality Assurance: Lessons from JD's Quality Team Transformation

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.

JDbook promotionquality assurance
0 likes · 5 min read
Software Testing and Quality Assurance: Lessons from JD's Quality Team Transformation
JD Tech
JD Tech
Sep 27, 2018 · Operations

Overview of JD Invoice System Architecture and Business Processes

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.

InvoiceJDOperations
0 likes · 9 min read
Overview of JD Invoice System Architecture and Business Processes
JD Tech
JD Tech
Jul 23, 2018 · Frontend Development

Design and Architecture of JD's "Tongtian Tower" Visual Activity Page Builder Platform

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.

ArchitectureJDfrontend
0 likes · 9 min read
Design and Architecture of JD's "Tongtian Tower" Visual Activity Page Builder Platform
JD Tech
JD Tech
Jul 2, 2018 · Mobile Development

Android P Restrictions, App Bundles, and the Evolution of JD’s Plugin Architecture

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.

AndroidAndroid PApp Bundles
0 likes · 12 min read
Android P Restrictions, App Bundles, and the Evolution of JD’s Plugin Architecture
JD Retail Technology
JD Retail Technology
Jun 12, 2018 · Operations

JD Life Technology Service Platform's 6.18 Preparation and System Upgrade

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.

6.18High AvailabilityJD
0 likes · 6 min read
JD Life Technology Service Platform's 6.18 Preparation and System Upgrade
JD Retail Technology
JD Retail Technology
Dec 11, 2017 · Big Data

Data Model Component Management Platform: Functions and Practices

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.

Big DataJDModel Fusion
0 likes · 8 min read
Data Model Component Management Platform: Functions and Practices