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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Latest from JD Cloud Developers

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JD Cloud Developers
JD Cloud Developers
Jul 1, 2025 · Fundamentals

How False Sharing Slows Your Java Apps and How to Eliminate It

This article explains the cache architecture behind false sharing, demonstrates its dramatic performance impact with benchmark code, and shows how Java's @Contended annotation and Caffeine's memory‑padding techniques can effectively eliminate the issue for high‑concurrency applications.

Cache OptimizationPerformance tuningfalse sharing
0 likes · 10 min read
How False Sharing Slows Your Java Apps and How to Eliminate It
JD Cloud Developers
JD Cloud Developers
Jun 30, 2025 · Backend Development

Unveiling Guava Cache Internals: Why It Lags Behind Caffeine

This article dissects Guava Cache's source code, explaining its segment‑based locking, data structures, put/get implementations, cleanup and eviction mechanisms, and then contrasts its performance and design choices with the more modern Caffeine cache, highlighting why Guava falls short.

CacheCaffeineGuava
0 likes · 39 min read
Unveiling Guava Cache Internals: Why It Lags Behind Caffeine
JD Cloud Developers
JD Cloud Developers
Jun 24, 2025 · Artificial Intelligence

How JD Retail’s xLLM Architecture Revolutionizes AI Inference for E‑Commerce

At GAITC2025, JD Retail’s AI Infra lead Zhang Ke detailed the challenges of e‑commerce AI inference and introduced the xLLM edge‑cloud unified large‑model architecture, highlighting adaptive scheduling, offline unified scheduling, multi‑layer pipelines, and agent collaboration that boost performance, cut costs, and pave the way for future AI advancements.

AI inferencee-commerceedge-cloud
0 likes · 6 min read
How JD Retail’s xLLM Architecture Revolutionizes AI Inference for E‑Commerce
JD Cloud Developers
JD Cloud Developers
Jun 19, 2025 · Artificial Intelligence

Quickly Master MCP: Build a Python SSE Server and Client in Minutes

This guide introduces the Model Context Protocol (MCP), explains its purpose as a standardized USB‑C‑like interface for LLMs, and provides step‑by‑step Python code to set up SSE‑based MCP servers and a client, plus essential installation details and execution commands.

AI protocolLLM integrationMCP
0 likes · 11 min read
Quickly Master MCP: Build a Python SSE Server and Client in Minutes
JD Cloud Developers
JD Cloud Developers
Jun 12, 2025 · Fundamentals

How to Tackle Outliers in Internet A/B Experiments: Methods & Best Practices

This article explores why outliers destabilize online A/B tests, explains their statistical definitions, compares trimming and winsorizing techniques, reviews classic and machine‑learning detection methods, and offers practical guidance for applying these approaches to improve experiment reliability.

A/B testingexperimental designoutlier detection
0 likes · 14 min read
How to Tackle Outliers in Internet A/B Experiments: Methods & Best Practices
JD Cloud Developers
JD Cloud Developers
Jun 10, 2025 · Backend Development

How to Instantly Spot Problematic SQL with MyBatis Interceptor Coloring

This article introduces a lightweight SQL‑coloring technique for MyBatis that annotates each executed query with its mapper ID and call‑stack, enabling developers to pinpoint performance bottlenecks instantly without hunting through multiple code paths, and provides both MyBatis interceptor and AspectJ weaving implementations.

AspectJInterceptorJava
0 likes · 30 min read
How to Instantly Spot Problematic SQL with MyBatis Interceptor Coloring
JD Cloud Developers
JD Cloud Developers
Jun 6, 2025 · Backend Development

Seamless Java JDK 21 Upgrade: Solving Dependency and Build Challenges

This article outlines the motivations, progress, and common issues encountered when upgrading over 100 Java applications to JDK 21, including deprecated APIs, module system constraints, Maven plugin incompatibilities, and GC choices, and provides concrete migration steps, configuration templates, and best‑practice recommendations for a smooth transition.

GarbageCollectionJDK21Java
0 likes · 12 min read
Seamless Java JDK 21 Upgrade: Solving Dependency and Build Challenges
JD Cloud Developers
JD Cloud Developers
Jun 3, 2025 · Mobile Development

Unlocking Native HarmonyOS Performance with Taro’s C‑API Framework

Taro, an open‑source cross‑platform solution from JD, now supports pure HarmonyOS through its C‑API version, enabling developers to build H5, mini‑programs, RN and native Harmony apps using familiar web technologies, offering high‑performance rendering, extensive component support, and seamless migration of existing Taro projects.

C-APIHarmonyOSTaro
0 likes · 12 min read
Unlocking Native HarmonyOS Performance with Taro’s C‑API Framework