Sharing over a decade of architecture experience from Baidu, Alibaba, and Tencent.
This article explains how Linux Virtual Server (LVS) uses kernel‑space packet forwarding, zero‑copy techniques, IPVS layer‑4 routing, horizontal scaling, and Linux kernel tuning to support million‑level concurrent connections in large‑scale architectures.
This article compares four microservice deployment strategies—single-host multi-instance, containerized with Kubernetes, serverless functions, and full orchestration—detailing their architectures, benefits, drawbacks, and suitable scenarios, helping engineers select the most appropriate approach for scalability, reliability, and operational complexity.
This article explains the fundamentals of Nginx proxy caching, walks through the request‑cache workflow, and provides concrete configuration examples and best‑practice tips that can increase backend throughput and response speed by up to ten times.
This article explains how Spring Cloud Gateway leverages a reactive, non‑blocking architecture, OS‑level tuning, zero‑copy networking, and built‑in rate‑limiting and circuit‑breaker features to reliably sustain million‑level concurrent traffic in production environments.
This article explains Docker's client‑server architecture, core isolation mechanisms like Linux namespaces and cgroups, the layered UnionFS image model, and how libcontainer/runc creates containers, providing a comprehensive technical overview of Docker as a cloud‑native platform.
This article compares four microservice deployment approaches—standalone virtual machines, Docker containers, Kubernetes clusters, and service‑mesh‑enhanced Kubernetes—detailing their architectures, advantages, drawbacks, and ideal use cases to help teams select the most suitable strategy.
This article breaks down the core techniques Nginx uses to handle millions of simultaneous connections, covering its asynchronous non‑blocking event model, master‑worker process architecture, zero‑copy data transfer, and memory‑management optimizations with practical configuration examples.
This article breaks down Redis performance limits, showing that a single node can handle roughly 100‑200k simple GET/SET QPS and up to 500‑700k with multithreaded I/O, while sharded clusters can theoretically reach millions of QPS, though practical factors affect the actual throughput.
This article explains the two main load‑balancing layers (L4 and L7) and compares three popular solutions—Nginx, LVS, and HAProxy—detailing their operating principles, strengths, typical use cases, and a quick recommendation for selecting the appropriate balancer based on traffic volume and stability needs.
This article breaks down Kafka's high‑throughput design by detailing how partitioning enables parallelism, sequential disk writes and zero‑copy reduce I/O overhead, and OS page cache maximizes memory efficiency, together allowing millions of messages per second.
