Sobes.tech
Middle

Tell us about your integration experience: did you have asynchronous Kafka and synchronous integrations?

sobes.tech AI

Answer from AI

Integration solutions often combine asynchronous and synchronous approaches depending on system requirements.

Asynchronous integration with Kafka:

  • Used for message passing between services without waiting for an immediate response.
  • Allows processing large volumes of data with high performance and fault tolerance.
  • Example: a service publishes an event to Kafka, another service subscribes and processes it at its own pace.

Synchronous integration:

  • Involves direct API or RPC calls, where the caller waits for a response.
  • Suitable for scenarios where instant reaction or operation confirmation is important.

In real systems, both approaches are often combined: for example, synchronous calls for critical operations, and asynchronous Kafka-based communication for events and logging.