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.
This article explains how the ROMA cross‑platform framework supports dark mode on mobile apps, detailing configuration options, view‑mode attributes, color mapping, iOS trait protocols, and code examples for seamless theme switching, helping developers implement efficient dark‑mode adaptations.
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.
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.
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.
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.
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.
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.
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.
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.
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.
