microservices-patterns

Decompose a monolith by identifying bounded contexts and incrementally extracting services using the strangler pattern. This approach establishes clear service boundaries based on business capabilities or subdomains, allowing independent deployment without rewriting the entire system at once.

Data consistency in distributed systems is managed using a database per service model combined with saga-style transactions. This strategy enforces eventual consistency and avoids tight coupling, ensuring reliable inter-service data ownership without distributed locks.

The circuit breaker pattern improves resilience by halting inter-service communication when failures reach a threshold, preventing cascading outages. Combined with retry backoff and bulkheads, it isolates faults and maintains partial platform functionality during failures.

Use synchronous REST or gRPC when operations require immediate responses, and asynchronous events for decoupled, reliable messaging. Specifying the correct communication pattern ensures resilient operation and prevents tight coupling between independent service boundaries.

Microservices patterns can be applied incrementally to legacy systems using the strangler fig pattern. By gradually extracting service boundaries from existing monolithic applications, you can transition to a modular architecture without requiring a full rewrite.