microservices-patterns

Decomposing a monolith into microservices requires strategic service decomposition by business capability or subdomain. This involves defining service boundaries, implementing inter-service communication, and managing distributed data consistency to ensure independent, manageable services.

The Saga pattern manages distributed transactions in microservices by sequencing local transactions across services. If a step fails, compensating transactions undo the preceding changes, maintaining data consistency without relying on traditional two-phase commits.

The circuit breaker pattern builds fault tolerance in distributed systems by monitoring inter-service communication failures. It trips after reaching a threshold, blocking requests to failing services and preventing cascading failures across the network.

Use event-driven architecture for asynchronous communication to decouple services and improve resilience, whereas synchronous REST or gRPC is suited for real-time request-response interactions where immediate feedback is required in the distributed system.

Implementing a database per service architecture introduces distributed data management challenges, requiring patterns like Saga for transaction consistency and event-driven communication to maintain data synchronization across decoupled service boundaries.