Easy Learn
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…
A plain-language, beginner-to-production tour of container orchestration: what it is, why it exists, and how it actually works inside. Opens with the toy-factory analogy and a short history from physical servers to VMs to Docker containers to Kubernetes and Docker Swarm, then builds the orchestration problem step by step (one…
A complete beginner-to-production guide to containers – what they really are, why the industry invented them, how they work internally, and how they run at massive scale. Covers the “works on my machine” problem, the lunchbox analogy, and a short history from chroot in 1979 through FreeBSD Jails, Linux VServer,…
A complete, ground-up tutorial on distributed caching – what it is, why applications need it, how it works internally, and how large-scale systems put it into production. Covers the sticky-note analogy and the full history of caching from Wilkes 1965 CPU slave memory, through 1970s-80s disk/OS caches, 1990s web caching,…