Advanced Kafka Programming Techniques

In this section

• Kafka Producer API Deep Dive
  Tune Kafka producers with custom serializers, partitioners, batching, retries, acknowledgments, and message-send controls.
• Kafka Consumer API Deep Dive
  Configure Kafka consumers with custom deserializers, manual offsets, commit strategies, and partition rebalancing controls.
• Kafka Streams API for Stream Processing
  Build Kafka Streams applications with the DSL, Processor API, state stores, windowing, exactly-once processing, and interactive queries.
• Kafka Integration with Reactive Frameworks
  Connect Kafka with reactive frameworks using asynchronous, non-blocking flows that preserve backpressure and resilience.
• Kafka Clients Across Programming Languages
  Compare Kafka client patterns across Python, Go, .NET, Clojure, and other stacks for portable event-driven applications.
• Kafka Threading Models and Concurrency
  Design Kafka producer and consumer concurrency with thread safety, workload parallelism, and predictable performance in mind.