Mastering Kafka In .NET: Schema Registry & Error Handling Made Simple
Building production-grade Kafka consumers in .NET requires more than just sending and receiving messages. In this post, we go beyond the basics to cover Schema Registry integration with Avro, handling multiple message types in a single topic, implementing robust error handling with Polly, and setting up a Dead Letter Queue (DLQ) for failed messages. You’ll learn how to design reliable, schema-safe Kafka workflows that are ready for real-world complexity.