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Microservices Communication: Patterns and Anti-Patterns

Microservices Communication: Patterns and Anti-Patterns

Synchronous Communication

Synchronous communication (REST, gRPC) is the simplest approach — one service calls another and waits for a response. REST over HTTP is universally supported and easy to debug. gRPC uses Protocol Buffers for efficient binary serialization, making it 5-10x faster than REST for service-to-service communication. However, synchronous calls create tight coupling — if the downstream service is slow or unavailable, the calling service is also affected. Implement circuit breakers (using libraries like resilience4j or opossum) to prevent cascading failures when downstream services are unhealthy.

Asynchronous Messaging

Asynchronous communication using message queues (RabbitMQ, Amazon SQS) or event streaming (Apache Kafka) decouples services temporally — the sender does not wait for the receiver to process the message. This pattern is essential for operations that do not need immediate responses: sending emails, processing payments, generating reports, and updating search indexes. The Saga pattern coordinates transactions across multiple services using a sequence of local transactions with compensating actions for rollback. Event sourcing stores all state changes as immutable events, enabling full audit trails and event replay.

  • REST/gRPC: Synchronous request-response for queries that need immediate answers
  • Message queues: Asynchronous processing with guaranteed delivery and retry logic
  • Event streaming: Kafka for high-throughput, ordered event processing across services
  • Saga pattern: Distributed transactions with compensating actions for rollback

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