microservices-patterns

The saga pattern manages distributed transactions across microservices by coordinating a sequence of local transactions with specific compensating actions. This approach ensures data consistency without relying on a monolithic two-phase commit protocol.

To design resilient microservices, apply the circuit breaker pattern to isolate failures and prevent cascading service outages. Combine this with service discovery for dynamic routing to maintain availability during partial topology failures.

Use the outbox pattern when you need reliable event publication alongside database updates in event-driven microservices. It ensures messages are dispatched asynchronously without violating transactional integrity or losing data during crashes.

CQRS provides separate read and write models to optimize query performance in microservices data management. By using event-driven projections, it creates eventually consistent read stores tailored to specific application query requirements.

Implement an API gateway to centralize external access in a microservices topology. It handles routing, authentication, and rate limiting to shield internal services from direct client exposure and manage traffic efficiently.

Event-driven communication in distributed systems introduces eventual consistency, making real-time queries difficult. It requires complex orchestration for sagas and careful handling of out-of-order events or messaging failures during asynchronous processing.