microservices-patterns

Manage distributed transactions across microservices using the Saga pattern. This approach coordinates multi-service data updates through a sequence of local transactions, ensuring data consistency without relying on a single shared database.

Decompose a monolithic application by aligning service boundaries with business capabilities or subdomains. This strategy defines autonomous, scalable services that encapsulate specific domains, minimizing tight coupling and inter-service dependencies.

Use synchronous communication like REST or gRPC when an immediate response is required, and asynchronous event-driven communication for decoupled, scalable operations. Choosing the right pattern depends on specific latency and coupling requirements.

The Circuit Breaker pattern improves resilience by automatically halting inter-service communication when failures reach a threshold. This prevents cascading faults and allows failing services time to recover, maintaining overall system stability.

A database per service is recommended for scalable microservices to ensure loose coupling and independent deployment. This pattern isolates service data, though it requires implementing distributed data management techniques like Saga for consistency.