Over ten years of BAT architecture experience, shared generously!
This article explains what a cache avalanche is, why it occurs in distributed systems, and presents practical mitigation techniques such as randomized expiration, proactive pre‑warming, load protection, and multi‑level caching to prevent system crashes.
This article provides a comprehensive overview of Docker, covering its lightweight container-based virtualization, core advantages, client‑daemon‑registry architecture, underlying Linux namespace and cgroup mechanisms, UnionFS layering, and the complete lifecycle from image building to container execution and removal.
Spring Cloud Gateway achieves ultra‑high concurrency through asynchronous non‑blocking I/O, minimal Netty event‑loop threads, horizontal scaling with load balancers, Redis‑based distributed rate limiting, and built‑in circuit‑breaker protection, ensuring stable performance even under massive traffic spikes.
This article provides a comprehensive overview of Docker’s core principles, detailing its architecture, key components such as the client, daemon, containerd, and runc, the underlying Linux namespaces and cgroups, UnionFS layering, and the step‑by‑step container runtime process.
This article explains what cache penetration is, why it occurs when both cache and database miss, and presents four practical solutions—null caching, parameter validation, Bloom filters, and rate‑limiting/blacklisting—to protect backend services from database overload and system crashes.
This article explains how to dramatically improve Nginx performance in high‑concurrency scenarios by configuring five crucial parameters—worker_processes, worker_connections, epoll, sendfile/TCP optimizations, and keepalive—complete with code examples and expected impact.
This article explains how to dramatically improve Nginx performance by configuring worker processes, connection limits, high‑performance I/O options, and gzip compression, providing practical code examples and optimization tips that can boost throughput up to five times on multi‑core servers.
This article explains MySQL master‑slave replication, covering asynchronous, semi‑synchronous, and full synchronous modes, their mechanisms, advantages, disadvantages, and ideal use cases for high availability, read/write separation, and strong consistency in large‑scale systems.
This article explains what cache penetration is, why it occurs when requests bypass the cache to hit the database, and presents four effective mitigation techniques—including empty-result caching, Bloom filters, request validation, and distributed rate limiting—to safeguard backend performance.
This article details how to configure Nginx to separate static assets from dynamic requests, using dedicated static servers and reverse‑proxying dynamic traffic to application servers, thereby improving web performance up to three times while simplifying architecture and caching strategies.
