microservices-patterns

Microservices architecture design uses service decomposition strategies based on business capabilities or subdomains to break down monoliths. This approach establishes clear service boundaries for distinct distributed components, enabling independent scalability and maintainability across complex software systems.

The Saga pattern is a data management technique for handling distributed transactions in microservices architectures. It provides a sequence of local transactions where each updates the database and publishes an event or message to trigger the next step, ensuring data consistency without two-phase commits.

Implement event-driven communication by using asynchronous messaging patterns, often leveraging event streaming platforms like Kafka. This decouples services by having them publish and subscribe to events rather than using synchronous REST or gRPC calls, which improves system resilience and scalability.

The best resilience patterns for distributed systems include Circuit Breaker, Retry, and Bulkhead. Applying these patterns prevents cascading failures, controls resource allocation during peak loads, and builds fault-tolerant systems capable of handling network timeouts and service unavailability.

Yes, this microservices guidance covers both API Gateway and Strangler Fig patterns. The Strangler Fig pattern is specifically useful for gradually migrating a monolithic application to a microservices architecture by routing specific requests to new services while legacy components remain active.

You should avoid asynchronous event-driven communication when immediate consistency or real-time synchronous responses are required. In these scenarios, synchronous communication patterns like REST or gRPC are more appropriate, as event-driven architectures inherently favor eventual consistency and decoupled operations.