microservices-patterns

Break down a monolith into microservices using decomposition strategies based on business capabilities and subdomains. This approach defines clear service boundaries to independently scale and manage specific functional areas of your application.

The Saga pattern manages distributed transactions by coordinating a sequence of local transactions across services. If a step fails, it triggers compensating transactions to undo previous changes, ensuring data consistency without a distributed lock.

Build resilient microservices communication by applying patterns like circuit breakers, retries, and bulkheads. These mechanisms prevent cascading failures by stopping requests to unresponsive services and isolating faulty components.

Use event-driven architecture for asynchronous communication when you need decoupled services and high scalability. Choose REST or gRPC for synchronous communication when an immediate response is required from the dependent service.

A database-per-service architecture is needed to ensure loose coupling and independent scaling in distributed systems. It allows each service to manage its own data storage, though it requires implementing patterns like Saga to maintain data consistency.

A circuit breaker pattern fails to handle delayed timeouts if threshold configurations are misaligned with actual service latency limits. Properly configure failure thresholds and timeout periods to ensure the breaker trips before resources are exhausted.