microservices-patterns

Microservices decomposition involves mapping independent business capabilities and bounded contexts to separate services. This strategy improves modularity, fault isolation, and team autonomy when splitting monolithic applications.

The best way to handle communication between distributed services is to use synchronous patterns like REST and gRPC, or asynchronous event-driven interactions. This ensures reliable inter-service coordination across the architecture.

Circuit breakers prevent cascading failures in distributed systems by stopping traffic to a failing service, allowing it to recover. Combined with retries and bulkheads, this pattern ensures overall architecture resilience and reliability.

You should use event-driven architecture for microservices when you need asynchronous communication and loose coupling between services. This approach enables scalable, independent data management and coordination across distributed systems.

Splitting an application by microservices design patterns introduces distributed-systems complexity, requiring robust inter-service communication and data management strategies. Without resilience mechanisms like bulkheads, decoupled services can still suffer cascading failures.