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