microservice

Avoid distributed monoliths by defining microservice boundaries through bounded contexts identified via Domain-Driven Design, ensuring clear data ownership and stable API contracts. This approach keeps services independently deployable and scalable based on business domains.

Decompose a monolith by mapping business domains to bounded contexts and outlining per-service data ownership, API contracts, and deployment sequencing. This structured decomposition reduces coupling and improves overall system scalability by isolating data and deployment pipelines.

Specify data ownership per service and establish communication patterns like REST, gRPC, or event-driven integration to design a new distributed system. Defining these API contracts and dependencies ensures stable interfaces and asynchronous integration between independently deployable services.

Use event-driven communication over REST or gRPC when establishing asynchronous integration and stable interfaces between bounded contexts. Applying these communication patterns per service ensures deployment independence and prevents tightly coupled dependencies in your distributed architecture.

Microservices form a distributed monolith due to poorly bounded service edges and shared data ownership. Fix it by applying Domain-Driven Design to identify bounded contexts, establishing clear service boundaries, and isolating data to ensure deployment independence and maintainability.

You need Domain-Driven Design to identify bounded contexts, which provides the foundational service boundaries required to establish stable API contracts and event-based communication. Without DDD, defining clear data ownership and avoiding tightly coupled architectures becomes significantly harder.