microservices-patterns

To decompose a monolith into microservices, apply business capability or subdomain-based decomposition strategies to define bounded service boundaries. This approach separates functionalities into autonomous, distributed services.

The best way to handle distributed transactions in microservices is implementing the Saga pattern. It sequences local transactions across services, ensuring data consistency without a distributed two-phase commit.

Event-driven architecture enables asynchronous inter-service communication by having services publish and subscribe to events. This decouples services, improving scalability and resilience compared to synchronous REST or gRPC calls.

Use the Circuit Breaker pattern in distributed systems to prevent cascading failures when an inter-service call fails repeatedly. It stops traffic to the failing service, allowing it to recover and building fault tolerance.

A database-per-service is recommended for microservices architecture to ensure loose coupling. It allows each service to manage its own data independently, which is critical when applying Saga pattern transactions or event-driven updates.

Synchronous communication like REST or gRPC impacts microservices resilience because services must wait for responses, creating tight runtime coupling. Adding resilience patterns like Retry or Bulkhead helps isolate these failures.