Kafka Build
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Building Data Streaming Applications with Apache Kafka
Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn Learn the basics of Apache Kafka from scratch Use the basic building blocks of a streaming application Design effective streaming applications with Kafka using Spark, Storm &, and Heron Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system Make effective capacity planning while deploying your Kafka Application Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by –step, comprehensive guide filled with practical and real- world examples
Kafka Mastery Guide: Comprehensive Techniques and Insights
Unlock the full potential of Apache Kafka with "Kafka Mastery Guide: Comprehensive Techniques and Insights," your all-encompassing manual to the world’s leading distributed event streaming platform. Whether you're embarking on your Kafka journey or seeking to master its advanced intricacies, this book provides everything you need to successfully deploy, manage, and optimize Kafka across any environment. Inside "Kafka Mastery Guide: Comprehensive Techniques and Insights," you'll experience a seamless transition from the foundational principles of Kafka’s architecture to the more complex facets of its ecosystem. Discover how to efficiently produce and consume messages, scale Kafka in cloud environments, handle data serialization, and process streams in real-time, maximizing the potential of your data streams. The guide delves beyond the basics, offering in-depth exploration of Kafka security, monitoring, performance tuning, and the platform's most recent innovative features. Each chapter is rich with practical insights, comprehensive explanations, and applicable real-world scenarios, empowering you to adeptly manage Kafka's complexities. Designed for software developers, data engineers, system architects, and anyone engaged in data processing systems, "Kafka Mastery Guide: Comprehensive Techniques and Insights" is your gateway to mastering event-driven architectures. Elevate your applications to new heights of performance and scalability by harnessing the power of Kafka, and revolutionize how you handle real-time data today.
Kafka: The Definitive Guide
Author: Gwen Shapira
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-11-05
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