Learn IT: using simple language and everyday examples to study.
This article presents a curated reading list for software architects, organized by career stages and covering design patterns, code quality, architecture, distributed systems, cloud‑native topics, along with reading principles, recommendations, and a top‑10 book ranking to guide continuous learning.
This note distills the core engineering practices for building and operating large‑scale distributed systems, covering system definition, distributed vs single‑node trade‑offs, CAP theorem choices, consistency levels, transaction patterns, load‑balancing algorithms, cache strategies, message‑queue reliability, coordination services like ZooKeeper, and essential design principles.
The article distills the core ideas of the book “Architecture Is the Future”, explaining why scalability is essential for modern web services and presenting eight design principles—horizontal scaling, load balancing, fault‑tolerance, data sharding, caching, asynchronous processing, monitoring, and automation—along with organizational patterns, capacity‑planning formulas, performance‑optimization steps, and high‑availability strategies.
This article provides a comprehensive, step‑by‑step overview of system architecture design, covering definitions, quality attributes, architectural styles, design processes, decision‑making, validation methods, documentation practices, and core principles for building complex software systems.
This article distills the core concepts of Robert C. Martin’s Clean Architecture, covering layered design, SOLID principles, component cohesion and coupling rules, boundary strategies, the onion model, and why databases are merely infrastructure, all illustrated with concrete code examples and diagrams.
The article presents a systematic framework for objectively assessing software architectures across five dimensions—functionality, quality, cost, risk, and team capability—detailing specific metrics, evaluation methods, scoring tables, and a practical workflow to guide informed architectural decisions.
The article defines Architecture Rot as the gradual decay of system design, outlines its four stages—healthy, debt accumulation, degradation, and crisis—details code‑level symptoms, business and technical causes, quantitative detection metrics, and presents a step‑by‑step governance plan including prevention, regular health checks, and incremental refactoring using the strangler‑fig pattern.
The article explains the concept of technical debt, its origins, explicit and implicit forms, sources, interest costs, calculation methods, management practices—including identification, prioritization, repayment strategies, prevention measures, tooling with SonarQube, workshops, OKRs—and debunks common myths about aiming for zero debt.
The article shares four real‑world failure cases—over‑splitting into microservices, skipping performance testing, accumulating technical debt, and relying on a single‑point database—to illustrate why careful architectural decisions, thorough testing, debt repayment, and high‑availability design are essential for sustainable software systems.
This article explains why Architecture Decision Records (ADRs) are essential, defines them as a “black box” for recording decisions, outlines their value, formats, lifecycle, creation process, management tools, and provides concrete ADR examples such as using JWT for authentication and Kafka for messaging.
