Description
Book Synopsis: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform.
Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.
You'll examine:
- Best practices for deploying and configuring Kafka
- Kafka producers and consumers for writing and reading messages
- Patterns and use-case requirements to ensure reliable data delivery
- Best practices for building data pipelines and applications with Kafka
- How to perform monitoring, tuning, and maintenance tasks with Kafka in production
- The most critical metrics among Kafka's operational measurements
- Kafka's delivery capabilities for stream processing systems
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Details
Looking to handle data in motion for your enterprise application? Look no further than the updated edition of "Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale". With this comprehensive guide, application architects, developers, and production engineers can master the art of data management. Learn how to effectively move and handle data, whether it's log messages, metrics, user activity, or outgoing messages.
Don't miss out on the new features covered in this edition, such as Kafka's AdminClient API, transactions, security enhancements, and tooling changes. Developed by engineers from Confluent and LinkedIn, this guide provides valuable insights into deploying production Kafka clusters, building reliable event-driven microservices, and creating scalable stream processing applications.
With detailed examples and practical advice, you'll gain a deep understanding of Kafka's design principles, reliability guarantees, key APIs, and architecture details. Discover best practices for deploying and configuring Kafka, writing and reading messages with producers and consumers, ensuring reliable data delivery, and building data pipelines and applications. Plus, learn how to monitor, tune, and maintain Kafka for optimal performance in production environments.
If you're serious about data management and stream processing, "Kafka: The Definitive Guide" is the essential resource you need. Order your copy today and unlock the full potential of Kafka.
Order now and take your data management to the next level.
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