Every enterprise application creates data whether it consists of log messages metrics user
activity or outgoing messages. Moving all this data is just as important as the data itself.
With this updated edition application architects developers and production engineers new to
the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover
Kafka's AdminClient API transactions new security features and tooling changes. Engineers
from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production
Kafka clusters write reliable event-driven microservices and build scalable stream processing
applications with this platform. Through detailed examples you'll learn Kafka's design
principles reliability guarantees key APIs and architecture details including the
replication protocol the controller and the storage layer--
