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Kafka for Architects: Event-driven architecture, logs, microservices, real-time event processing

Kafka for Architects: Event-driven architecture, logs, microservices, real-time event processing
Date: February 17th, 2026
ISBN: 1633436411
Language: English
Number of pages: 392 pages
Format: EPUB
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This book teaches you how to incorporate Kafka into enterprise applications. This book stays above the code-level details, focusing instead on how to use Kafka to achieve your technical and business goals.

Architects across industries are turning to Kafka for its unparalleled speed, reliability, and scalability. In this book, author Katya Gorshkova lays out how Kafka fits into complex system designs, expertly illustrating how you can use Kafka for effective logging, telemetry, microservices communication, and more in event driven enterprise applications.

In Kafka for Architects you will find:
• Kafka’s role in enterprise software
• The event-driven architecture pattern
• Data streaming solutions
• Event driven architecture in messaging systems
• Explaining Kafka clusters
• Data streaming solutions
• Designing data contracts
• Kafka in real world use cases

About the Technology
Kafka is a powerful distributed event streaming platform perfect for the real-time data pipelines you find in all modern software systems. As a software architect, it’s mission critical to understand how Kafka impacts every aspect of system design, deployment, management, and maintenance. This unique book provides the architectural principles you need to integrate Kafka effectively into enterprise applications at any scale.

About the Book
Kafka for Architects focuses on architectural principles rather than code, showing exactly how to align Kafka with your organization’s technical and business goals. You’ll explore proven patterns and anti-patterns, integration strategies, and the broader Kafka ecosystem—from event pipelines to microservices communication.

What’s Inside
• Event-driven architecture patterns: CQRS, event sourcing, and microservices integration
• Efficient messaging systems: message production, consumption, batching, partitioning, and throughput
• Kafka clusters: cluster architecture, topics, partitions, replication, and configuration
• Designing data contracts: event schema design, schema evolution, governance, and use of Schema Registry

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