The article defines a clear rule for placing methods in DDD aggregates: a method belongs inside the domain object only when it can operate solely on data owned by that object, illustrated with order status and marketing activity examples.
The article explains that in Domain‑Driven Design a Repository should target the aggregate, not individual tables, because the aggregate defines a consistency boundary; having separate repositories for master and detail tables breaks this boundary, allowing inconsistent writes and bypassing the aggregate root’s validation.
The article examines a payroll bug caused by exposing internal collections, then explains three immutable‑focused rules for aggregate roots—expose only through the root, keep each transaction to a single aggregate, and reference other aggregates by ID only—showing how proper design prevents consistency errors, performance loss, and concurrency conflicts in Spring Boot applications.
The article explains Domain‑Driven Design’s philosophy of aligning business language with code, defines key concepts such as bounded contexts, entities, value objects, aggregates, and shows how these ideas translate into microservice decomposition, event‑driven integration, and reduced coupling for cloud‑native systems.
This article explains the core DDD concepts of aggregate roots and domain events, illustrates them through a simplified e‑commerce scenario, and provides complete Java code examples for entities, value objects, events, and aggregate services to help developers apply DDD in backend systems.
This article explains the core DDD concepts of entities, value objects, and aggregate roots in Go, detailing how unique identifiers differ from database primary keys, when to use value objects versus primitive types, and best practices for generating and handling IDs within aggregates.
This article explains the concepts of aggregates and aggregate roots in DDD, describes how to design aggregates through event storming with a concrete insurance underwriting example, and outlines key design principles and the relationships among aggregates, entities, and value objects.
