microservices-patterns

Service decomposition splits a monolith into independently deployable services aligned to business capabilities. You map existing monolithic domains to bounded contexts, establishing clear service boundaries for multi-service environments.

Managing distributed data relies on the database-per-service pattern, sagas, and compensation. This approach maintains data consistency across independently deployable services without relying on shared databases.

Microservices communication patterns offer synchronous REST/gRPC for direct requests and asynchronous event-driven messaging for decoupled coordination. Your choice depends on whether services need immediate responses or can react to events asynchronously.

Circuit breakers, bulkheads, and retries are resilience patterns that prevent cascading failures in distributed systems. They isolate faults and manage resource allocation to maintain partial functionality during service disruptions.

Sagas coordinate distributed transactions across services like Order, Inventory, and Payment using event-driven flows. They ensure data consistency through compensation mechanisms if a step in the multi-service process fails.

Event-driven microservices architecture introduces complexity in tracking asynchronous flows and managing distributed state. Avoid this approach if your application requires strictly synchronous, immediate data consistency across all operations.