How can I handle errors in Spring Cloud Stream with Kafka?
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How can I handle errors in Spring Cloud Stream with Kafka?
You can handle errors in Spring Cloud Stream with Kafka by using the error handling features provided by the framework.
What are the different error handling strategies available?
The main strategies include using a Dead Letter Topic, retry mechanisms, and custom error handlers.
Can you explain how to implement a Dead Letter Topic?
Sure! You can configure a Dead Letter Topic by setting the spring.cloud.stream.kafka.bindings.<bindingName>.consumer.dead-letter-topic property in your application properties.
What happens to messages sent to the Dead Letter Topic?
Messages sent to the Dead Letter Topic can be analyzed or reprocessed later, allowing you to handle failures gracefully.
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