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This article describes the background, design, configuration, encryption, mock data handling, and practical deployment steps of an external gateway that unifies and secures communication between internal vehicle payment services and external channels such as Apple Pay, Alipay, WeChat Pay, and UnionPay.
This article describes the architecture, functional modules, technology choices, and detailed implementation techniques—including coordinate definition, collision detection, zoom/drag handling, object selection, batch operations, alignment, and indoor positioning—of a Vue‑based indoor space management platform that visualizes workstations, meeting rooms, and assets on an interactive map.
This article describes the background, technical selection, architecture, deployment, performance tuning, and operational practices of a Milvus‑driven vector retrieval platform, including cloud‑native deployment, index choices, capacity planning, and real‑world application cases that improve recall latency and resource efficiency.
This article introduces a two-level cache framework designed to address issues with Spring-Cache, providing enhanced caching strategies and improved performance in Java-based backend systems.
This article analyzes the rapid growth of mobile mini‑programs, compares the cross‑platform frameworks uni‑app and taro based on core requirements, ecosystem, and performance, presents a concrete project structure and rendering details, and quantifies the efficiency gains achieved by adopting uni‑app for automotive quotation services.
In this interview, Li Benyang, head of the intelligent recommendation content understanding team at Autohome, shares his AI background, the evolution of recommendation systems, knowledge‑graph construction for automotive content, career choices between big firms and startups, and practical advice for technologists navigating fast‑changing industries.
This article describes how combining Redis and RabbitMQ to implement an asynchronous cache refresh mechanism significantly improves interface performance and stability for a high‑traffic used‑car platform, meeting strict tp99 latency requirements while maintaining data freshness.
This article details the architectural decisions, network protocol choices, message framing strategies, and server‑level optimizations—including Netty adoption, TCP handling, token management, load balancing, NIC queue configuration, and CPU affinity—that enable a scalable, low‑latency instant messaging service supporting millions of concurrent connections.
This article analyzes how the Qingleng low-code platform improves development efficiency and reduces costs in an automotive technical department by enabling rapid application development through visual interfaces and automated backend processes, addressing pain points like code redundancy and slow requirement response.
This article introduces the basic concepts of reinforcement learning, derives model‑based and model‑free policy gradient methods—including vanilla policy gradient and Actor‑Critic—explains their mathematical foundations, and demonstrates their use in scene text recognition and image captioning tasks.
