Easy Learn
A complete, ground-up field guide to backward compatibility in API design — the discipline of changing your API’s “menu” so that clients holding the old menu (a 2019 mobile app, a partner integration untouched for five years, a farmer’s SMS alert system) keep ordering successfully even after you have quietly…
A beginner-to-production field guide to the real, first-time challenges of moving from a monolith to microservices. Starts with the toy-factory analogy and a decades-long honest history (1990s monoliths → early-2000s SOA/ESB → 2011 Venice workshop where the term is coined → 2014 Fowler/Lewis article → Docker/Kubernetes wave → service mesh…
A complete, beginner-to-production tutorial on the correlation ID — a short, unique, opaque string (usually a UUID like 7f3a9e21-4b6d-4c2a-9f11-8e2d5c7a10bb) attached to a request at the moment it enters a system and then propagated unchanged through every service, message queue, database call and log line that touches it, so a single…
A complete, beginner-to-production tutorial on service versioning — the practice of labelling distinct editions of an API or service so that old and new clients can both keep working while the service itself evolves. Opens with the toy-robot-and-remote analogy (an old remote that only knows “walk” is exactly the same…
A beginner-to-production field guide to the modular monolith: a single deployable application internally organised into clearly bounded modules, each owning its own business capability, its own data, and its own public interface. Covers the full evolution from Big Ball of Mud through layered enterprise architecture, the 2011–2015 microservices wave, the…
A beginner-friendly, production-grade tutorial that explains the modular monolith pattern from first principles and answers the single most common architecture-interview question — why experienced teams often choose a modular monolith over jumping straight to microservices. Opens with the house analogy (Big Ball of Mud monolith = one giant room; modular…
A beginner-to-production field guide to the Domain Events pattern in microservices: what a domain event is (a past-tense fact like OrderPlaced, PaymentReceived), how it differs from commands and queries, why it powers loose coupling in event-driven architecture, and the full supporting cast — aggregate roots, message brokers (Kafka, RabbitMQ, EventBridge,…
A ground-up, from-zero-to-production tutorial that compares SQL (relational) and NoSQL databases side by side. Starts with the shop-notebook analogy and a short history — Codd’s 1970 relational paper, Oracle (1979), MySQL and PostgreSQL, the ANSI SQL standard (1986), Google’s Bigtable (2006), Amazon’s Dynamo (2007), the rise of MongoDB, Cassandra, Redis…
A ground-up, no-jargon field guide to relational (SQL) and non-relational (NoSQL) databases — how each family works internally, why NoSQL was invented, and exactly how to decide which one your project actually needs. Covers all 20 sections: introduction and history (Codd’s relational model, Bigtable 2004, Dynamo 2007, the 2009 NoSQL…
A complete, beginner-to-advanced field guide to the four main types of NoSQL databases — Key-Value, Document, Column-Family, and Graph — explaining in plain English why NoSQL exists, how each family stores and moves data internally, and how to choose the right one for a real production system. Starts with a…