Kafka for Engineers: Streams, Exactly-Once, and Real-Time Systems
This book goes beyond basic producers and consumers to tackle the problems that actually keep engineers up at night: data consistency, fault tolerance, stateful stream processing, and exactly-once guarantees at scale. You'll learn how Kafka really works under the hood-and how to use that knowledge to design systems that don't lose data, duplicate events, or fall apart under load.
Written for software engineers, backend developers, and data engineers, this book focuses on real engineering trade-offs, not marketing diagrams. Through concrete examples and clear explanations, you'll master Kafka Streams, transactional messaging, state stores, and end-to-end processing guarantees-so you can confidently build pipelines that power real-time analytics, event-driven microservices, and streaming platforms.
What you'll learnHow Kafka's log, partitions, and replication actually enable scalability and durability
Designing exactly-once pipelines using transactions and idempotent producers
Building stateful stream processing applications with Kafka Streams
Handling failures, rebalances, and backpressure without data loss
Modeling events and schemas for long-lived, evolvable systems
When Kafka Streams fits-and when you should reach for alternatives
Who this book is forEngineers who already "use Kafka" but want to use it correctly
Teams building real-time, event-driven, or streaming architectures
Anyone tired of vague blog posts and looking for clear mental models
If you want to stop treating Kafka like a black box and start designing robust real-time systems with confidence, this book is for you.
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