Over ten years of BAT architecture experience, shared generously!
This article explains Redis cache penetration, its causes such as malicious attacks and faulty business logic, and presents four mitigation strategies—Bloom filters, caching empty values, rate limiting, and authentication with validation—to protect database performance and system stability.
This article explains what a cache avalanche is, why it occurs in distributed systems, and presents practical mitigation techniques such as multi‑level caching, staggered expirations, mutex locks, and hotspot isolation to keep backend services stable under high load.
This article explains practical techniques to stop Redis cache penetration—including using Bloom filters to pre‑check keys, caching empty responses, applying request rate limiting, and adding authentication checks—while outlining each method's advantages and drawbacks.
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.
