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JD’s Merchant Intelligent Assistant leverages a large‑language‑model‑based multi‑agent architecture to provide 24/7 e‑commerce support, detailing its evolution, planning techniques, online inference, evaluation methods, sample generation, and practical insights for scalable AI‑driven operations.
This article presents JD Advertising's engineering experience with Apache Doris, describing the evolution from a data‑lake cold‑data solution to a native cold‑hot tiering approach, detailing performance regressions after upgrading to Doris 2.0, and outlining a series of optimizations for query speed, CPU and memory usage, schema‑change efficiency, and automated data migration and restoration.
Tech Insight presents concise overviews of ten JD retail technology papers accepted at top AI conferences in 2024, covering topics such as open‑vocabulary object detection, multi‑scenario ranking, diversity‑aware re‑ranking, a diversified product search dataset, semi‑supervised query classification, plug‑in CTR models, and methods to mitigate LLM hallucinations.
This article presents a complete MongoDB migration solution, detailing the migration rhythm, code refactoring using a decorator pattern, data source replacement with JImKV, MySQL and ES, bulk and incremental data transfer strategies, and deployment safeguards such as monitoring, gray release, and rollback to ensure a seamless cut‑over without service disruption.
This article details the correlation between system and business metrics, introduces three generic business‑monitoring platforms (UMP, PFinder, Taishan), defines a unified log format, provides Log4j and Java logging code, and explains alert rule configurations, visualizations, and real‑world incident case studies to improve operational reliability.
This article examines the challenges of outliers in large‑scale internet A/B testing, explains their statistical definition, outlines common causes, evaluates the benefits and limits of removal, and compares traditional trim and winsorize techniques along with practical detection and risk‑control strategies.
This article chronicles the four‑year journey of JD Insurance's supply‑chain platform, detailing how the team standardized product integration, introduced automation tools like XBP and an open platform, tackled operational challenges, and achieved industry‑leading coverage of over 100 insurance companies.
This article examines the core challenges of distributed data systems—including consistency, availability, and partition tolerance—then details master‑slave replication mechanisms for MySQL and Redis, various replication modes and binlog formats, and explores data partitioning, sharding, and hot‑key mitigation techniques for scalable, high‑availability deployments.
This article examines a real‑world incident where oversized and frequently accessed Redis cache keys caused cache penetration and network bandwidth saturation during a high‑traffic promotion, analyzes the underlying reasons, and presents concrete solutions and preventive measures for backend systems.
This article explains the importance of well‑designed API and database structures, outlines principles for creating clear and traceable error codes, provides response format examples, discusses error propagation strategies, highlights common pitfalls, and proposes a full‑link trace‑id logging system for backend services.
