microservices

Decomposing a monolith involves breaking down the application into independently deployable microservices by defining clear service boundaries. This approach provides strategies to separate domain functionalities and improve overall system maintainability.

Microservices communication patterns include synchronous protocols like REST and gRPC for direct requests, and asynchronous messaging or events for decoupled interactions. Choosing the right pattern ensures reliable inter-service data exchange and system scalability.

Managing distributed data consistency in microservices requires patterns like CQRS, Event Sourcing, and Sagas. These patterns coordinate transactions across independent services to maintain data integrity without relying on distributed transactions.

Preventing cascading failures in microservices architectures requires implementing resilience patterns like Circuit Breakers and Bulkheads. These strategies isolate faults and stop errors from propagating across dependent distributed services.

Choose a microservices architecture over a monolith when you need independent scalability, resilient fault isolation, and autonomous deployability. Consider the trade-offs in operational complexity and distributed data management before committing to this structural pattern.