Sharing over a decade of architecture experience from Baidu, Alibaba, and Tencent.
This article explains why Redis cache penetration occurs and presents four practical mitigation techniques—using a Bloom filter, caching placeholder values, pre‑warming hot keys, and applying authentication with rate‑limiting—to protect backend performance and database stability.
This guide explains what constitutes high concurrency for Kafka, presents throughput benchmarks, and provides detailed broker‑level configuration tips—including partition planning, producer batching, storage optimization, and zero‑copy settings—to achieve scalable, low‑latency message processing.
This article explains the principle of Nginx static‑dynamic separation, describes its layered architecture, request routing flow, and key optimization techniques such as caching, compression, load balancing, security limits, and monitoring to dramatically improve overall system performance.
This article explains Redis master‑slave replication, detailing the full synchronization process that creates an RDB snapshot and streams buffered writes, as well as the incremental synchronization that resumes after a disconnection using PSYNC and the replication backlog.
This guide explains how to break a monolithic system into independent microservices, apply vertical and horizontal data sharding, and implement rate limiting, circuit breaking, and degradation to sustain millions of concurrent requests while keeping the backend stable and scalable.
This article explains the core concepts of Nginx caching, including cache types, the four-step caching workflow, and four essential configuration techniques to maximize performance and stability in high‑traffic backend systems.
This article provides a comprehensive overview of Docker, explaining its lightweight container model, client‑server architecture, key Linux kernel features such as namespaces and cgroups, image layering, networking, and the three‑stage process of building, distributing, and running containers.
This article explains what a cache avalanche is, why it occurs in distributed systems, and presents four practical mitigation techniques—including randomized TTL, mutex locks, proactive pre‑warming, and rate‑limiting/circuit‑breaking—to keep backend services stable under sudden load spikes.
This guide explains how to unleash Nginx's full potential on multi‑core Linux servers by configuring automatic CPU affinity, increasing worker connections with epoll, raising system file limits, and enabling zero‑copy transmission, resulting in up to ten‑fold throughput gains and dramatically lower CPU usage.
This article provides a comprehensive overview of RocketMQ, covering its core components (Producer, Broker, Consumer, NameServer), detailed architecture diagrams, step‑by‑step message production and consumption processes, and typical scenarios such as asynchronous decoupling, traffic shaping, transactional messaging, and event‑driven logging.
