Kafka Streams in Action. Event-Driven Applications and Microservices
Enterprise applications have to process thousands and even millions of events daily. Thanks to its intuitive API and impeccable reliability, the Kafka Streams library rightfully occupies a central place in these systems. It provides the exact power and simplicity needed...
for managing real-time event processing or message exchange between microservices.
Create streaming applications on the amazing Apache Kafka platform. This revised new edition covers a broader range of streaming architectures and includes data integration with Kafka Connect. Here, you will find practical examples that introduce you to components and brokers, as well as explain the specifics of schema management. Along the way, you will learn techniques for using Kafka with the Spring framework, methods for low-level control of processing nodes and state stores, saving event data with ksqlDB, and testing streaming applications.
Enterprise applications have to process thousands and even millions of events daily. Thanks to its intuitive API and impeccable reliability, the Kafka Streams library rightfully occupies a central place in these systems. It provides the exact power and simplicity needed for managing real-time event processing or message exchange between microservices.
Create streaming applications on the amazing Apache Kafka platform. This revised new edition covers a broader range of streaming architectures and includes data integration with Kafka Connect. Here, you will find practical examples that introduce you to components and brokers, as well as explain the specifics of schema management. Along the way, you will learn techniques for using Kafka with the Spring framework, methods for low-level control of processing nodes and state stores, saving event data with ksqlDB, and testing streaming applications.
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