Summary
Kafka 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 Kafka
Purchase of the print book includes a free eBook in PDF, Kindle, and
ePub formats from Manning Publications.
About the Technology
Not 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 Book
Kafka 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 inside
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Using the KStreams API
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Filtering, transforming, and splitting data
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Working with the Processor API
-
Integrating with external systems
About the Reader
Assumes some experience with distributed systems. No knowledge of Kafka
or streaming applications required.
About the Author
Bill Bejeck is a Kafka Streams contributor and Confluent engineer
with over 15 years of software development experience.
Table of Contents
- Welcome to Kafka Streams
- Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT
- Developing Kafka Streams
- Streams and state
- The KTable API
- The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS
- Monitoring and performance
- Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH
KAFKA STREAMS
- Advanced applications with Kafka StreamsAPPENDIXES
