Part 2 Concepts
In part 2, we dive into key concepts of Apache Kafka, focusing on how its architecture and core features empower efficient, scalable data streaming. This part provides a detailed examination of Kafka topics, messages, distributed logs, reliability, and performance optimization.
Chapter 3 explores Kafka topics and messages, including their structure, flow, and data formats. Chapter 4 examines Kafka as a distributed log, highlighting its partitioning and replication mechanisms while exploring its real-world applications. Chapter 5 discusses Kafka’s reliability, focusing on acknowledgment settings, data durability, and fault tolerance, including its transactional capabilities. Chapter 6 focuses on performance optimization, covering partitioning strategies, producer and consumer tuning, and broker configurations.