microservices-patterns

Decompose a monolith by defining service boundaries based on business capabilities or subdomains. This approach ensures independent services are scalable and maintainable, providing clear separation of concerns for distributed systems.

The saga pattern manages data consistency across services by coordinating a sequence of local transactions. It provides a reliable mechanism to handle distributed transactions without relying on a single monolithic database.

Implement resilience patterns like circuit breakers, retries, and bulkheads to handle failures gracefully. These techniques prevent cascading failures across services, ensuring your distributed system remains fault-tolerant during outages.

Choose synchronous communication like REST or gRPC for immediate request-response needs, and asynchronous event-driven communication for decoupled operations. Selecting the correct inter-service communication pattern optimizes system scalability.

Use a database per service architecture to ensure loose coupling and independent scaling of services. This data management technique prevents direct database sharing, though it requires implementing patterns like sagas for consistency.

Design service boundaries for an e-commerce application by identifying distinct business capabilities like order and payment. This decomposition strategy defines how services interact and ensures scalable, maintainable distributed systems.