Kafka Streams in Action: Real-time apps and microservices with the Kafka Streams API Bill Bejeck Author

SummaryKafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort.Foreword by Neha Narkhede, Cocreator of Apache KafkaPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyNot all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application.About the BookKafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you’ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You’ll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What’s insideUsing the KStreams APIFiltering, transforming, and splitting dataWorking with the Processor APIIntegrating with external systemsAbout the ReaderAssumes some experience with distributed systems. No knowledge of Kafka or streaming applications required.About the AuthorBill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience.Table of ContentsPART 1 - GETTING STARTED WITH KAFKA STREAMS Welcome to Kafka StreamsKafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT Developing Kafka StreamsStreams and stateThe KTable APIThe Processor APIPART 3 - ADMINISTERING KAFKA STREAMS Monitoring and performanceTesting a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS Advanced applications with Kafka StreamsAPPENDIXESAppendix A - Additional configuration informationAppendix B - Exactly once semantics