Kafka: The Definitive Guide Real-Time Data and Stream Processing at Scale
Language: English
Published by O'Reilly Media, 2023
- Softcover
- New
Condition: New
£ 88.71
Quantity: 3 available
Add to basketItem description from seller
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 Sprache: Englisch Gewicht in Gramm: 844.…
Seller Inventory # IB-846614
- Title
- Kafka: The Definitive Guide Real-Time Data and Stream Processing at Scale
- Author
- Rajini Sivaram, Krit Petty, Todd Palino, Gwen Shapira
- Publisher
- O'Reilly Media
- Publication year
- 2023
- Condition
- Neu
- Binding
- Softcover/Taschenbuch
- Language
- English
- ISBN 10
- 1492043087
- ISBN 13
- 9781492043089
- Edition
- 2nd Edition
- Item weight
- 844 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
Todd is a Staff Site Reliability Engineer at LinkedIn, tasked with keeping the largest deployment of Apache Kafka, Zookeeper, and Samza fed and watered. He is responsible for architecture, day-to-day operations, and tools development, including the creation of an advanced monitoring and notification system. Todd is the developer of the open source project Burrow, a Kafka consumer monitoring tool, and can be found sharing his experience on Apache Kafka at industry conferences and tech talks. Todd has spent over 20 years in the technology industry running infrastructure services, most recently as a Systems Engineer at Verisign, developing service management automation for DNS, networking, and hardware management, as well as managing hardware and software standards across the company.
Rajini Sivaram is a Software Engineer at Confluent designing and developing security features for Kafka. She is an Apache Kafka Committer and member of the Apache Kafka Program Management Committee. Prior to joining Confluent, she was at Pivotal working on a high-performance reactive API for Kafka based on Project Reactor. Earlier, Rajini was a key developer on IBM Message Hub which provides Kafka-as-a-Service on the IBM Bluemix platform. Her experience ranges from parallel and distributed systems to Java virtual machines and messaging systems.
Krit Petty is the Site Reliability Engineering Manager for Kafka at LinkedIn. Before becoming Manager, he worked as an SRE on the team expanding and increasing Kafka to overcome the hurdles associated with scaling Kafka to never before seen heights, including taking the first steps to moving LinkedIn's large-scale Kafka deployments into Microsoft's Azure cloud. Krit has a Master's Degree in Computer Science and previously worked managing Linux systems and as a Software Engineer developing software for high-performance computing projects in the oil and gas industry.
"About the title" may belong to another edition of this title.
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