Data Consistency Across Microservices

Data Consistency Across Microservices

A complete, plain-language guide to data consistency across microservices: what “consistency” really means when many services each own their own database, a short history from monoliths to microservices, the ShopFast e-commerce running example, careful definitions of ACID, BASE, strong / eventual / causal consistency, idempotency, and distributed transactions, the CAP…

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What Is Graceful Degradation in System Architecture?

What Is Graceful Degradation in System Architecture?

A complete, beginner-to-interview-ready tutorial on graceful degradation – the design approach that lets a system deliberately reduce features or quality in a controlled, planned way rather than failing completely. Uses the four-engine airplane analogy to introduce the mindset shift from “prevent every failure” to “plan the reduced experience in advance,”…

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Architect-Case-Monolith

The Architect’s Case for the Monolith

A complete, beginner-to-advanced tutorial on when to stay with a monolith instead of splitting into microservices. Covers the one-house vs small-city analogy and the full 1990s-through-mid-2020s history (single monolith, SOA, microservices popularised at Netflix and Amazon, the industry-wide adoption boom, then the correction toward modular monoliths); the real motivations for…

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Monolith vs Microservices

Monolith vs Microservices

A plain-language, ground-up guide to the biggest architecture decision most software teams ever make. Covers the history and motivation, core concepts (coupling, cohesion, bounded contexts, CAP, latency vs throughput), monolith and microservices architectures with worked bookstore examples, request lifecycles, honest advantages and trade-offs, performance and scalability, high availability and failure…

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