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JD Tech
JD Tech
Apr 23, 2026 · Backend Development

How JD Upgraded Its B‑Side Order Storage Architecture to Tackle Elasticsearch High‑Concurrency Pressure

Facing explosive merchant growth and soaring order volumes, JD redesigned its B‑side POP order storage by isolating large tenants, applying double‑hash routing, expanding clusters, buffering updates, and automating data archiving, ultimately delivering a high‑performance, scalable Elasticsearch platform that sustains massive traffic spikes.

Data SkewElasticsearchHigh Concurrency
0 likes · 16 min read
How JD Upgraded Its B‑Side Order Storage Architecture to Tackle Elasticsearch High‑Concurrency Pressure
JD Tech
JD Tech
Apr 21, 2026 · Backend Development

How AI Can Co‑Create a Query‑Logging Feature: Two Paths, One Result

A test‑developer explores how AI can design and implement a query‑recording function for an insurance policy platform, comparing a code‑savvy approach with a low‑code approach, detailing architecture, AOP interception, async handling, code generation, review, and testing considerations.

AIAOPArchitecture
0 likes · 17 min read
How AI Can Co‑Create a Query‑Logging Feature: Two Paths, One Result
JD Tech
JD Tech
Apr 16, 2026 · Industry Insights

How JD Revolutionized Coupon Search with a Stream‑Batch Unified Architecture

This article analyzes JD's end‑to‑end upgrade of its retail coupon search infrastructure, detailing the business drivers, data‑skew challenges, the shift from dual KV and batch pipelines to a unified stream‑batch model built on Apache Doris, and the resulting performance, resource and stability gains across multiple scenarios.

Apache DorisBatch ProcessingCoupon Search
0 likes · 12 min read
How JD Revolutionized Coupon Search with a Stream‑Batch Unified Architecture
JD Tech
JD Tech
Apr 15, 2026 · Artificial Intelligence

How OpenClaw Powers Multi‑Channel AI Agents with Skills and Sub‑Agents

The article provides an in‑depth analysis of OpenClaw’s architecture, explaining why it was created, its layered design, the core ReAct loop, the Skill system, sub‑agent creation and management, fault‑tolerance mechanisms, tool policies, and how it extends the pi‑mono engine to support robust, multi‑channel AI agents.

AI agentsOpenClawReAct loop
0 likes · 20 min read
How OpenClaw Powers Multi‑Channel AI Agents with Skills and Sub‑Agents
JD Tech
JD Tech
Apr 9, 2026 · Databases

How DongSQL Solves E‑Commerce DB Overload, Flash‑Sale, and Plan Drift

This article analyzes JD's self‑developed database kernel DongSQL, describing its architecture, the challenges of overload, flash‑sale write spikes, cache consistency, execution‑plan drift, and thread congestion, and explains how hint‑based limiting, RETURNING syntax, statement outlines, and a built‑in thread pool address each issue.

HintSQL OptimizationThread Pool
0 likes · 22 min read
How DongSQL Solves E‑Commerce DB Overload, Flash‑Sale, and Plan Drift
JD Tech
JD Tech
Apr 3, 2026 · Backend Development

How to Achieve Lightweight Process‑Level Service Isolation in a Distributed Microservice System

This article analyzes the growing complexity of a distributed microservice platform and presents three isolation strategies—application splitting, Hystrix thread‑/semaphore isolation, and a lightweight process‑level grouping approach—detailing their implementation, trade‑offs, and practical results for high‑traffic promotions.

HystrixMicroservicesbackend architecture
0 likes · 9 min read
How to Achieve Lightweight Process‑Level Service Isolation in a Distributed Microservice System
JD Tech
JD Tech
Mar 25, 2026 · User Experience Design

How Color Science Can Reduce Visual Fatigue for Logistics Operators: A B‑End UI Study

This article presents a comprehensive research project that investigates visual fatigue among logistics customer‑service and warehouse staff, analyzes industry and competitor color standards, derives scientific guidelines for eye‑friendly color schemes, validates three gray, green and yellow designs through eye‑tracking, heart‑rate and questionnaire experiments, and outlines the rollout of a multi‑theme eye‑care mode across JD Logistics B‑end systems.

B2B UIUser Experience DesignVisual Ergonomics
0 likes · 15 min read
How Color Science Can Reduce Visual Fatigue for Logistics Operators: A B‑End UI Study
JD Tech
JD Tech
Mar 12, 2026 · Frontend Development

How Taro 5.0 Achieves One‑Code‑Five‑Platform with WebOnNative Architecture

Taro 5.0 introduces a three‑layer WebOnNative architecture that unifies Mini‑Program, H5, Android, iOS and HarmonyOS development, delivering native‑level performance, pixel‑perfect UI consistency, AI‑assisted tooling, and dynamic publishing capabilities that have already been validated in large‑scale JD business scenarios.

AICross‑platformDynamic Publishing
0 likes · 27 min read
How Taro 5.0 Achieves One‑Code‑Five‑Platform with WebOnNative Architecture
JD Tech
JD Tech
Mar 10, 2026 · Artificial Intelligence

How JD Insurance Uses AI Agents to Automate the Entire Insurance Supply Chain

This article explains JD Insurance's end‑to‑end AI agent methodology, from scenario selection and goal definition through economic benefit formulas, domain‑specific large‑model fine‑tuning, knowledge‑base integration, multi‑agent planning strategies, reinforcement‑learning driven evolution, and concrete implementations for pricing, fulfillment, and risk control across the insurance value chain.

AI agentsinsurance automationlarge language models
0 likes · 43 min read
How JD Insurance Uses AI Agents to Automate the Entire Insurance Supply Chain
JD Tech
JD Tech
Mar 3, 2026 · Operations

How a Unified Data‑Correction UI with XBP Workflow Boosts Ops Efficiency

In a large, complex system, a new UI built on the XBP configurable workflow streamlines data‑correction tasks by standardizing forms, enabling multi‑scenario field reuse, supporting Excel uploads, enforcing double‑check approvals, and ensuring idempotent, concurrent‑safe processing through distributed locks and UUID‑based deduplication.

Data CorrectionUI ToolXBP
0 likes · 5 min read
How a Unified Data‑Correction UI with XBP Workflow Boosts Ops Efficiency