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Advanced Spring Boot 4: Event-Driven Architecture (Kafka) · Lesson

Concurrency and Thread Management

Configure and manage consumer concurrency within Spring Boot Kafka applications to optimize throughput and resource utilization.

Boosting Consumer Throughput

When consuming messages from Kafka, processing them sequentially might not be fast enough. Concurrency allows your application to process multiple messages in parallel, significantly increasing throughput.

This is crucial for high-volume topics where messages arrive rapidly and need quick processing.

Default Consumer Behavior

By default, a @KafkaListener method in Spring Boot will create one consumer thread per listener container. This single thread is responsible for fetching and processing messages from the partitions assigned to it.

While simple, this setup doesn't always leverage multi-core processors for parallel message processing from a single topic effectively.

All lessons in this course

  1. Manual Offset Committing
  2. Pausing and Resuming Consumers
  3. Concurrency and Thread Management
  4. Rebalance Listeners and Static Membership
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