Bejeck B. Kafka Streams in Action. Event-driven applications...2ed 2024

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Bejeck B. Kafka Streams in Action. Event-driven applications...2ed 2024

Textbook in PDF format Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database. Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you’ll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you’ll need for effective streaming—from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry. In Kafka Streams in Action, Second Edition you’ll learn how to: Design streaming applications in Kafka Streams with the KStream and the Processor API Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry Build applications that respond immediately to events in either Kafka Streams or ksqlDB Craft materialized views over streams with ksqlDB This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database that makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates. About the technology: Enterprise applications need to handle thousands—even millions—of data events every day. With an intuitive API and flawless reliability, the lightweight Kafka Streams library has earned a spot at the center of these systems. Kafka Streams provides exactly the power and simplicity you need to manage real-time event processing or microservices messaging. About the book: Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you’ll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you’ll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications. I wrote the second edition of Kafka Streams in Action to teach you how to build event streaming applications in Kafka Streams and include other components of the Kafka ecosystem, Producer and Consumer clients, Connect, and Schema Registry. I took this approach because for your event-streaming application to be as effective as possible, you’ll need not just Kafka Streams but other essential tools. My approach to writing this book is a pair-programming perspective; I imagine myself sitting next to you as you write the code and learn the API. You’ll learn about the Kafka broker and how the producer and consumer clients work. Then, you’ll see how to manage schemas, their role with Schema Registry, and how Kafka Connect bridges external components and Kafka. From there, you’ll dive into Kafka Streams, first building a simple application, then adding more complexity as you dig deeper into Kafka Streams API. You’ll also learn about ksqlDB, testing, and, finally, integrating Kafka with the popular Spring framework. What's inside: Design efficient streaming applications Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry About the reader: For Java developers. No knowledge of Kafka or streaming applications required. Kafka Streams in Action is for any developer wishing to get into stream processing. While not strictly required, knowledge of distributed programming will help understand Kafka and Kafka Streams. Knowledge of Kafka is beneficial but not required; I’ll teach you what you need to know. Experienced Kafka developers and those new to Kafka will learn how to develop compelling stream-processing applications with Kafka Streams. Intermediate-to-advanced Java developers familiar with topics like serialization will learn how to use their skills to build a Kafka Streams application. The book’s source code is written in Java 17 and extensively uses Java lambda syntax, so experience with lambdas (even from another language) will be helpful. About the author: Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache Kafka project. Contents: Part 1 Welcome to the Kafka event streaming platform Kafka brokers Part 2 Schema Registry Kafka clients Kafka ConnectPART 3 Developing Kafka Streams Streams and state The KTable API Windowing and timestamps The Processor API ksqlDB Spring kafka Kafka Streams Interactive Queries Testing