Microservices architecture offers scalability and flexibility but comes with complexity. This guide covers essential patterns and practices for successful implementation.

Service Design Principles

Domain-driven design, bounded contexts, service boundaries, and API contracts. Understanding when microservices are the right choice versus monolithic architecture.

Communication Patterns

Synchronous communication with REST and gRPC, asynchronous messaging with RabbitMQ or Kafka, and event-driven architecture patterns.

Data Management

Database per service pattern, distributed transactions with Saga pattern, event sourcing, and CQRS for complex data requirements.

Deployment & Operations

Container orchestration with Kubernetes, service mesh with Istio, distributed tracing, and centralized logging for monitoring microservices in production.

Common Pitfalls

Learn from real-world mistakes: avoid distributed monoliths, manage service dependencies, and handle cascading failures with circuit breakers.