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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.