microservices-patterns

Decompose a monolith by identifying bounded contexts and business capabilities, then migrating them into independent services. You can start by implementing a single pilot microservice pattern to validate the decomposition approach before scaling across the entire architecture.

Data consistency in distributed systems is handled using the Saga and CQRS patterns. These microservices patterns manage distributed transactions and query separation, ensuring data integrity across decomposed services without relying on traditional monolithic database constraints.

Circuit breakers improve microservices resilience by preventing cascading failures across distributed systems. Combined with retry patterns, they monitor inter-service communication failures and stop requests to struggling services, maintaining overall system stability.

Inter-service communication patterns include synchronous REST, gRPC, and asynchronous messaging, each serving different distributed systems needs. REST suits standard API gateways, gRPC optimizes internal service calls, and asynchronous messaging decouples services for resilient event-driven architectures.

Use an API gateway in microservices architecture when managing client requests across multiple decomposed services. It handles routing, security, and traffic control, acting as a central entry point that decouples frontend clients from the internal inter-service communication patterns.