microservices-patterns

Decompose a monolith into microservices by identifying bounded contexts and applying the strangler fig migration approach. This phased strategy incrementally extracts domains, ensuring safe data migration and preventing tight coupling during the transition.

Saga orchestration uses a central coordinator to command services, while choreography relies on event-driven communication where services react autonomously. Choosing between them depends on your workflow complexity and need for explicit control versus decoupled autonomy.

Use the circuit breaker pattern in microservices to prevent cascading failures during synchronous communication. It monitors inter-service calls, tripping to halt requests when a downstream service fails, thereby ensuring system resilience and isolating faults.

Choose between synchronous REST and asynchronous event-driven design by evaluating latency requirements and coupling tolerance. REST provides immediate consistency for queries, while event-driven architecture using messaging brokers maximizes decoupling and resilience for complex workflows.

Your architecture needs CQRS and event sourcing when service decomposition splits data ownership and complex query demands arise. CQRS separates read and write models, while event sourcing captures state changes as a sequence of immutable events.

Limitations of event-driven microservices include increased operational complexity, challenging end-to-end observability, and difficult debugging across asynchronous workflows. Mitigate these constraints by applying robust service discovery, distributed tracing, and careful messaging broker selection.