Over 10 years as a senior tech expert at top-tier companies, seasoned interview officer, currently at leading firms like Alibaba.
The article explains why a gateway is the first traffic entry in microservice systems and how Spring Cloud Gateway achieves million‑level concurrent handling through a reactive model, non‑blocking I/O, event‑driven scheduling, zero‑copy transmission, and built‑in rate‑limiting mechanisms.
The article explains how the Transformer, introduced by Google in 2017, replaced RNN/LSTM/GRU architectures, enables parallel computation through attention, dramatically improves GPU utilization, and forms the foundation of large‑scale models such as GPT, Claude and Gemini.
The article explains how Nginx caching can dramatically improve web service performance—up to tenfold—by detailing the cache's core mechanisms, practical configuration parameters, and best‑practice strategies such as cache keys, expiration policies, lock handling, stale fallback, and header management.
The article examines four microservice architecture designs—shared‑database, aggregation, proxy (gateway/BFF), and asynchronous messaging—detailing their structures, advantages, drawbacks, and ideal use cases such as e‑commerce order processing, high‑concurrency systems, and gradual migration scenarios.
The article explains how Spring Cloud Gateway achieves ultra‑high QPS by leveraging Netty's non‑blocking I/O, Project Reactor's event‑driven streams with backpressure, and lightweight route predicates combined with load‑balancing to maximize thread utilization and system throughput.
This article explains NVIDIA's CUDA platform, its CPU‑GPU division of labor, how massive parallelism accelerates AI large‑model training, and walks through a typical CUDA program workflow with concrete code examples and diagrams.
The article explains that “high concurrency” for Nginx is relative, depends on hardware, request type, response size, and overall architecture, and provides typical connection and QPS ranges for ordinary, medium, high‑traffic, and ultra‑high‑traffic systems.
This article surveys the most prominent AI large models, ranking global leaders like GPT‑5.5, Claude 4.x, and Gemini 2.5, outlining China’s top contenders such as DeepSeek V3 and Qwen 3, and summarizing open‑source options with their distinctive capabilities and open‑source status.
The article defines TPS (transactions per second), lists typical payment‑related operations that constitute a transaction, shows a concrete 1000‑TPS example, and presents an industry‑wide TPS classification table that helps determine when a payment system can be considered high‑concurrency, with practical thresholds for business, core, and large‑scale platforms.
The article examines four key distributed storage solutions—HDFS, Ceph, GlusterFS, and FastDFS—detailing their design principles, typical use cases, strengths such as scalability or simplicity, and limitations like handling small files or low‑latency random access.
