microservices-patterns

Decomposing a monolith into scalable microservices requires defining clear service boundaries and API contracts. This Skill helps you establish service decomposition and communication patterns to build a maintainable, scalable distributed system architecture.

Resilience patterns for distributed systems include circuit breakers, retries, and sagas. Applying these patterns ensures robustness during inter-service communication failures and helps manage distributed transactions without losing data consistency.

Event-driven architecture in microservices works by using asynchronous messaging for inter-service communication. This approach enables decoupled workflows, allowing services to react to events independently without blocking synchronous calls across the distributed system.

Designing API contracts for microservices communication involves defining clear service boundaries and specifying synchronous and asynchronous interactions. This Skill helps you establish these contracts to standardize inter-service data exchange and workflow integration.

You should use sagas for distributed transactions when you need to maintain data consistency across multiple microservices without a monolithic database. Sagas provide a resilient pattern to roll back or compensate for failed operations in event-driven workflows.

Observability requirements for microservices architecture are necessary to monitor distributed systems and track inter-service communication. This Skill outlines how to implement service discovery and observability to maintain system health and debug resilient workflows.