Managing high-volume message traffic in distributed architectures is crucial. Efficient use of database and CPU resources is also very important. There are structures that allow us to receive messages in batches. The default Spring Kafka "BatchMessageListener" structure addresses this need. However, the processing of these messages often goes through a sequential bottleneck. This article will discuss the structure and usage of Kotlin Coroutines in detail. We will examine how to maximize Kafka message processing performance using Structured Concurrency principles and Resource Throttling techniques.