Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale

Some of the chapters, especially chapters 3, 4, and 11 are geared toward Java developers. Those chapters assume that the reader is familiar with the basics of the Java programming language, including topics such as exception handling and concurrency. Other chapters, especially chapters 2, 8, 9, and 10, assume the reader has some experience running Linux and some familiarity with storage and network configuration in Linux. The rest of the book discusses Kafka and software architectures in more general terms and does not assume special knowledge.

Another category of people who may find this book interesting are the managers and architects who don’t work directly with Kafka but work with the people who do. It is just as important that they understand what Kafka provides and the trade-offs that their employees and coworkers will need to make while building Kafka-based systems. The book can provide ammunition to managers who would like to get their staff trained in Apache Kafka or ensure that their teams know what they need to know.