Java architect and Raspberry Pi enthusiast, dedicated to writing high-quality technical articles; the same name is used across major platforms.
This article compares five common database extension strategies—from simple MySQL column additions to a hybrid MySQL‑HBase solution—detailing their implementation, advantages, drawbacks, and ideal scenarios, helping architects select the most scalable and maintainable design for evolving business data requirements.
This guide introduces a curated set of diagramming, documentation, IDE, and terminal tools—including draw.io, uTools, PlantUML, IntelliJ IDEA, XMind, mdnice, GitBook, MobaXterm, and JuiceSSH—to help backend developers create design docs and diagrams more efficiently and securely.
This article explains Java reflection’s core concepts, how the JVM dynamically loads Class objects, and provides practical examples—including field retrieval, caching strategies, and integration with Spring—to help developers harness reflection for dynamic code manipulation while avoiding common pitfalls.
Learn how to turn a Raspberry Pi 4B into a continuously running WeChat robot using Python and the itchat library, covering automatic replies, AI‑powered chat via an online API, scheduled weather broadcasts, camera photo capture, and video calls with linphone, complete with full source code.
Architects should treat system capacity like a pre‑flight checklist, using this comprehensive guide to monitor resource usage across services, databases, and queues, and to define business metrics and state‑machine indicators that reveal bottlenecks and guide scaling decisions.
Learn why HBase outperforms MySQL for massive, historical data, explore key rowkey design principles such as composite keys, field ordering, length alignment, and hotspot mitigation, and see practical examples like cold‑hot data separation and transaction logs, plus a concise overview of HBase’s core architecture.
This article explains common multi‑dimensional query scenarios, compares basic indexing tricks and data heterogeneity approaches, then details how to integrate Elasticsearch with MySQL—including architecture, data import, Java client usage, code examples, and best‑practice recommendations—for scalable, near‑real‑time search.
