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Asynchronous Communication Patterns

Understanding when to use synchronous REST APIs versus asynchronous Kafka messaging for optimal system design.

Two Communication Styles

Synchronous (REST API)

Request → Response - The client sends a request and waits for an immediate response.

Frontend → HTTP Request → Backend → Process → HTTP Response → Frontend

Characteristics: Tight coupling, immediate feedback, blocking operation, simple to implement.

Asynchronous (Kafka)

Fire-and-Forget - The client sends a message and continues without waiting.

Frontend → Kafka Producer → Topic → Kafka Consumer → Backend

Characteristics: Loose coupling, eventual consistency, non-blocking, higher throughput.

When to Use Each Pattern

Use REST When:

  • Immediate response required
  • Simple CRUD operations
  • Read queries without side effects
  • Strong consistency needed

Use Kafka When:

  • High throughput needed
  • Decoupling producer and consumer
  • Multiple consumers for same event
  • Long-running operations
  • Eventual consistency acceptable

Key Takeaways

  • Synchronous: immediate response, tight coupling
  • Asynchronous: eventual consistency, loose coupling
  • Use REST for queries, Kafka for commands
  • Hybrid systems leverage both patterns