microservices-patterns

To decompose a monolithic application into microservices, apply strategies based on business capabilities or subdomains. These decomposition strategies isolate domains to build smaller, independent services that can scale separately.

The best way to handle distributed transactions in microservices is implementing the Saga pattern. Combined with a database per service architecture, it manages data consistency across independent services without relying on distributed locks.

Use synchronous communication like REST or gRPC when an operation requires immediate responses between services. Choose asynchronous event-driven communication in distributed systems when decoupling service execution and improving fault tolerance are the primary goals.

To build fault-tolerant microservices, apply resilience patterns like the circuit breaker to stop cascading failures, retries for transient network issues, and bulkheads to isolate failing components and protect critical system resources.

Yes, event-driven architecture works with the database per service pattern. Asynchronous events enable services to update their isolated databases independently while the saga pattern coordinates distributed data consistency across the system.