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A complete, beginner-friendly guide focused specifically on WHY the Strangler Fig Pattern is useful for migrations — the concrete risks it removes, the value it delivers early, and how it beats a big-bang rewrite in almost every real-world migration. Named by Martin Fowler in 2004 after the strangler fig plant…

A complete, beginner-friendly guide to Bounded Context — one of the most important ideas in modern software architecture and microservices design. Opens with the “school departments” analogy (Library, Kitchen, Sports, Hospital Room) to show that the same word (“member”) can mean genuinely different things in different bounded contexts. Traces the…

A complete, beginner-to-production guide to deciding where one microservice ends and another begins — using business meaning, not folder structure, as the ruler. Opens with the “restaurant kitchen stations” analogy and traces the history from 1990s / 2000s monoliths through Amazon’s “two-pizza team” restructuring, Netflix’s 2008 database-corruption cloud migration, and…

A complete, beginner-to-advanced guide to the database-per-service pattern — the foundational rule that says every microservice must own and manage its own private database, and no other service may touch that database directly. Starts with a family-fridge analogy and a short history explaining how the pattern emerged from painful shared-database…

A complete, beginner-to-production guide to the Database-per-Service pattern: why shared databases quietly destroy microservice architectures, how independent data ownership actually works, and how companies like Netflix, Amazon, Uber, and Spotify implement it at massive scale. Opens with the “family sharing one refrigerator” analogy and traces the history from 1990s monoliths…

A complete, beginner-to-production guide to data-sharing patterns in distributed systems. Covers why microservices deliberately avoid a shared database (Database-per-Service, Bounded Context, coupling vs. autonomy, strong vs. eventual consistency, idempotency), then walks through every real pattern used to move data between independent services: synchronous REST/gRPC APIs with timeouts, retries, and Resilience4j…

A plain-language, beginner-to-production guide to eventual consistency and the role it plays in microservices architecture. Starts with the “two notebooks that eventually match” analogy and the birthday-party problem, then traces the history from 1970s distributed databases through Amazon’s 2007 Dynamo paper, Werner Vogels’ popularisation of the term, Douglas Terry’s weak-consistency…

A complete beginner-to-production field guide to service mesh – what it really is, why the industry invented it, how it works internally, and how it runs at massive scale. Covers the school-of-500-classrooms analogy for why microservices need a dedicated networking layer, the “500 classrooms shouting across hallways” problem, and a…

A plain-language, beginner-to-production guide to distributed transactions: what they are, why they exist, and how real systems get all-or-nothing behaviour across independent databases and services. Opens with the money-transfer-between-banks analogy and a short history from single-machine ACID databases through Two-Phase Commit and X/Open XA to the microservices era where Sagas…