Over ten years of BAT architecture experience, shared generously!
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.
This article explains how Nginx can separate static assets from dynamic requests using location rules and reverse‑proxying, provides a complete configuration example, and details the performance gains from zero‑copy file serving, gzip compression, caching headers, and CDN integration.
This article explains how Docker focuses on packaging and running containers while Kubernetes handles cluster-wide orchestration, detailing control granularity, scope, typical use cases, and the complementary roles they play in modern cloud‑native architectures.
This article provides a comprehensive technical overview of Kubernetes, covering its core problems, master‑worker architecture, essential components such as API server, etcd, scheduler, controller manager, kubelet, kube-proxy, container runtimes, and a step‑by‑step deployment workflow, illustrated with diagrams.
When a production server suddenly hits 100% CPU, this guide shows a systematic two‑minute workflow—using top, thread inspection, hexadecimal conversion, and jstack—to quickly identify the offending process or Java thread and restore service stability.
This article clarifies the distinct concepts of concurrency, parallelism, and asynchrony, detailing their definitions, implementation mechanisms, resource needs, timing semantics, and ideal use‑cases to help developers choose the right model for high‑performance systems.
This article explains Kafka's high‑availability architecture, covering multi‑replica replication, leader‑follower election and failover, the role of In‑Sync Replicas, and producer acknowledgment settings with min.insync.replicas for reliable, zero‑data‑loss streaming.
