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JD Cloud Developers
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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.

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Recent Articles

Latest from JD Cloud Developers

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JD Cloud Developers
JD Cloud Developers
May 27, 2025 · Artificial Intelligence

How JD’s Young AI Engineers Tackle Real-World Model Challenges

Young JD algorithm engineers share how they solve tough AI problems—from optimizing large‑model training and reward‑model design for ad image generation, to building LLM‑based query expansion, agent evaluation, and model pruning with FFT and RDP—illustrating practical breakthroughs and personal growth in cutting‑edge AI research.

AIQuery ExpansionReinforcement learning
0 likes · 15 min read
How JD’s Young AI Engineers Tackle Real-World Model Challenges
JD Cloud Developers
JD Cloud Developers
May 26, 2025 · Frontend Development

Big Front-End Essentials: Tech Stacks, Network Frameworks & Optimization

This article outlines the comprehensive big‑front‑end technology stack—including native app development, web frameworks, mini‑programs and cross‑platform solutions—details common network libraries for Android, iOS, HarmonyOS, and browsers, explains the full network request lifecycle, and presents practical performance, security and weak‑network optimization techniques.

NetworkOptimizationfrontend
0 likes · 19 min read
Big Front-End Essentials: Tech Stacks, Network Frameworks & Optimization
JD Cloud Developers
JD Cloud Developers
May 19, 2025 · Backend Development

Unlocking Java’s ConcurrentHashMap: Inside Constructors, Put, and Resizing

This article provides a thorough, English‑language walkthrough of Java 8+ ConcurrentHashMap’s source code, covering its constructor logic, load‑factor handling, CAS‑based insertion, node optimizations, the put method, element‑count updates, multi‑threaded resizing, treeification, and auxiliary operations such as get, remove, and computeIfAbsent.

ConcurrentHashMapData StructuresJava
0 likes · 42 min read
Unlocking Java’s ConcurrentHashMap: Inside Constructors, Put, and Resizing
JD Cloud Developers
JD Cloud Developers
May 15, 2025 · Cloud Native

How Sentinel Empowers Cloud‑Native Traffic Governance and Resilience

This article introduces Sentinel, a cloud‑native flow‑control component born from Alibaba's ecosystem, explains its resource‑based rule model, core implementation—including rule‑control chain, datasource, and dashboard—and discusses practical deployment considerations and extension strategies for Java microservices.

JavaRate LimitingSentinel
0 likes · 20 min read
How Sentinel Empowers Cloud‑Native Traffic Governance and Resilience
JD Cloud Developers
JD Cloud Developers
May 7, 2025 · Backend Development

How to Build an MCP-Powered Contract Query and Delay Service with Node.js

This article explains how to leverage the Model Context Protocol (MCP) to enable natural-language contract queries and automated contract extensions, detailing the required client‑server interactions, workflow steps, and providing a complete Node.js implementation with code snippets for both query and delay operations.

MCPNatural LanguageNode.js
0 likes · 6 min read
How to Build an MCP-Powered Contract Query and Delay Service with Node.js
JD Cloud Developers
JD Cloud Developers
May 6, 2025 · Backend Development

How to Instantly Trace Java Method Call Stacks for Faster Debugging

This article explains how to build and use a Java StackTrace utility that extracts and filters method call chains, enabling developers to quickly locate error sources, streamline debugging, and improve operational efficiency by visualizing execution paths through customizable parameters and integration examples.

DebuggingJavaPerformance Monitoring
0 likes · 17 min read
How to Instantly Trace Java Method Call Stacks for Faster Debugging
JD Cloud Developers
JD Cloud Developers
Apr 30, 2025 · Artificial Intelligence

How to Keep Recommendation Systems Stable During Sudden Traffic Surges

This article examines the challenges of handling high‑frequency, instantaneous traffic spikes in JD Alliance's recommendation system during major sales events and presents an adaptive, automated degradation and recovery framework that minimizes recommendation loss while maintaining system stability.

Linear Programmingadaptive degradationreal-time monitoring
0 likes · 11 min read
How to Keep Recommendation Systems Stable During Sudden Traffic Surges