Over ten years of BAT architecture experience, shared generously!
The article explains high‑concurrency scenarios and how to quantify them using QPS (queries per second) and TPS (transactions per second), highlighting their definitions, typical system capacities, and the distinction between request‑level and business‑level throughput.
This guide presents a concise, step‑by‑step reference of the most frequently used Docker commands for managing images, containers, troubleshooting, data volumes, networks, and system cleanup, and highlights five core commands that can resolve the majority of everyday container issues.
This guide explains how to split static and dynamic traffic with Nginx, outlines the architecture, showcases CDN caching, and provides concrete configuration tweaks such as sendfile, tcp_nopush, tcp_nodelay, gzip/brotli, and cache‑control to dramatically improve web performance and scalability.
This article explains how Nginx’s maximum concurrent connections are determined by worker_processes and worker_connections, provides a sample configuration, discusses OS‑level limits such as file descriptors and kernel parameters, and offers practical tuning steps to scale Nginx to tens of thousands of connections.
This article explains how separating static and dynamic traffic with Nginx, configuring precise location rules, cache headers, and kernel optimizations can increase throughput by three to five times in high‑concurrency web architectures while reducing backend load and improving maintainability.
This article explains three core Single Sign-On architectures—same‑domain cookie/session, distributed token‑based (JWT/OAuth2), and Central Authentication Service—detailing their workflows, advantages, drawbacks, and ideal use cases, helping architects choose the right SSO solution for web, mobile, and micro‑service environments.
The article explains the three major high‑concurrency I/O models—Blocking I/O, Non‑blocking I/O, and Asynchronous I/O—detailing their principles, advantages, drawbacks, and provides practical guidance on selecting the appropriate model based on workload characteristics and team constraints.
This article explains how Kubernetes implements load balancing both inside the cluster through Services and kube-proxy, and outside the cluster via Ingress controllers or cloud provider load balancers, covering common algorithms such as round‑robin, least connections, consistent hashing, and weighted strategies.
This article explains what cache breakdown is in high‑traffic scenarios, why it can overload databases, and presents practical solutions such as pre‑warming hot data, scheduled cache refreshes, and multi‑level caching with code examples in Java and Redis.
This article explains MySQL master‑slave replication, covering its purpose, common topology patterns, the data flow from binlog to relay log, and a detailed step‑by‑step process for configuring asynchronous replication in production environments.
