Author

JD Cloud Developers

JD Cloud Developers (Developer of JD Technology) is a JD Technology Group platform offering technical sharing and communication for AI, cloud computing, IoT and related developers. It publishes JD product technical information, industry content, and tech event news. Embrace technology and partner with developers to envision the future.

587

Articles

Likes

829

Views

Comments

Latest from JD Cloud Developers

100 recent articles max

JD Cloud Developers

Sep 18, 2025 · Fundamentals

Mastering the Strategy Pattern in Spring: Dynamic Message Processing Explained

This article introduces the Strategy design pattern, explains its core concept of interchangeable algorithms, and demonstrates a practical Spring-based implementation that routes various message types to specific services using an enum‑driven bean lookup, enabling flexible updates to Elasticsearch for merchant search and analytics.

Springdependency-injectiondesign-patterns

0 likes · 3 min read

Mastering the Strategy Pattern in Spring: Dynamic Message Processing Explained

JD Cloud Developers

Sep 15, 2025 · Cloud Native

How AI-Enhanced k8s-Cluster-Inspector Boosts Kubernetes Reliability

This article explains how the k8s-cluster-inspector tool automates Kubernetes inspections and, by integrating AI-generated answers, enriches issue data with detailed remediation steps, improving trust, product value, and user experience.

AICluster InspectionKubernetes

0 likes · 5 min read

How AI-Enhanced k8s-Cluster-Inspector Boosts Kubernetes Reliability

JD Cloud Developers

Sep 11, 2025 · Artificial Intelligence

How to Seamlessly Migrate AI Workloads from Nvidia GPUs to Domestic Accelerators

This article explains why migrating AI applications from Nvidia GPUs to domestic Chinese accelerators is urgent, outlines the technical challenges, and presents JD Cloud's JoyScale zero‑perception migration stack with hardware, software, model, and inference optimizations for real‑world scenarios.

AI migrationJoyScaledomestic GPUs

0 likes · 10 min read

How to Seamlessly Migrate AI Workloads from Nvidia GPUs to Domestic Accelerators

JD Cloud Developers

Sep 9, 2025 · Artificial Intelligence

How JD’s PODM‑MI Framework Revolutionized E‑commerce Search Ranking

This article recounts a JD engineer’s journey from theory to practice, detailing the development of the PODM‑MI re‑ranking framework, its three‑layer distribution‑based design, the discovery of a novel SID bottleneck, and the resulting multi‑million‑order impact validated at SIGIR 2024.

E-commerce AIRe‑rankingSIGIR

0 likes · 8 min read

How JD’s PODM‑MI Framework Revolutionized E‑commerce Search Ranking

JD Cloud Developers

Sep 8, 2025 · Artificial Intelligence

Turn a Generic LLM into an E‑Commerce Risk Detector with Prompt Engineering

In this detailed case study, a risk‑control algorithm engineer explains how he progressively refined prompts for a large language model—starting from a basic role‑playing instruction, adding business‑specific exemption rules, structuring input/output, and finally implementing a dual‑hypothesis decision framework—to transform the model into a reliable e‑commerce fraud detection expert.

AIE-commerce FraudLLM

0 likes · 10 min read

Turn a Generic LLM into an E‑Commerce Risk Detector with Prompt Engineering

JD Cloud Developers

Sep 4, 2025 · Operations

Mastering High‑Availability: JD Real‑World Pitfalls & Fixes for Apps, DBs, Cache & MQ

This article shares JD's practical high‑availability architecture lessons, detailing common pitfalls across applications, databases, caches, RPC frameworks, containers, data centers, GC, and message queues, and provides concrete troubleshooting steps and optimization techniques to help engineers design more resilient, fault‑tolerant systems.

backendfault tolerancehigh availability

0 likes · 36 min read

Mastering High‑Availability: JD Real‑World Pitfalls & Fixes for Apps, DBs, Cache & MQ

JD Cloud Developers

Sep 2, 2025 · Databases

Unlocking ClickHouse’s Lightning‑Fast Queries: The ‘Nine Swords’ Architecture Explained

This article explores ClickHouse’s high‑performance OLAP design—including its MPP architecture, columnar storage, vectorized execution, pre‑sorting, sharding, replication, index strategies, and compute engine—showing how each innovation contributes to ultra‑fast, scalable data analysis in the big‑data era.

ClickHouseColumnar StorageOLAP

0 likes · 14 min read

Unlocking ClickHouse’s Lightning‑Fast Queries: The ‘Nine Swords’ Architecture Explained

JD Cloud Developers

Aug 29, 2025 · Backend Development

Why KCP Beats TCP/UDP for Real‑Time Apps and How to Implement It

This article explains the shortcomings of TCP and UDP for latency‑sensitive applications, introduces the KCP protocol as a reliable yet low‑latency UDP‑based solution, outlines its key features and operation, and provides practical code examples for integration.

KCPTCPUDP

0 likes · 7 min read

Why KCP Beats TCP/UDP for Real‑Time Apps and How to Implement It

JD Cloud Developers

Aug 28, 2025 · Artificial Intelligence

Unlock End-to-End AI with JoyAgent‑JDGenie: Build Custom Multi‑Agent Solutions

JoyAgent‑JDGenie is an open‑source, end‑to‑end multi‑agent framework that lets users generate reports, PPTs, and data analyses directly from queries, supports easy integration of custom tools, and achieves a 75.15% accuracy on the GAIA benchmark, surpassing major competitors.

AIFrameworkMulti-agent

0 likes · 8 min read

Unlock End-to-End AI with JoyAgent‑JDGenie: Build Custom Multi‑Agent Solutions

JD Cloud Developers

Aug 27, 2025 · Artificial Intelligence

How AI Virtual Try‑On Boosted Fashion Sales by 80%: A Technical Deep‑Dive

This article details how JD.com’s AI‑driven virtual fitting solution, integrated with an A/B testing platform, transformed fashion e‑commerce by generating realistic model images and videos, cutting production costs to zero, accelerating design cycles, and increasing conversion rates by over 80% during major sales events.

A/B testingAIFashion E‑commerce

0 likes · 14 min read

How AI Virtual Try‑On Boosted Fashion Sales by 80%: A Technical Deep‑Dive