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Big Data on Kubernetes

You're reading from   Big Data on Kubernetes A practical guide to building efficient and scalable data solutions

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835462140
Length 296 pages
Edition 1st Edition
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Author (1):
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Neylson Crepalde Neylson Crepalde
Author Profile Icon Neylson Crepalde
Neylson Crepalde
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1:Docker and Kubernetes FREE CHAPTER
2. Chapter 1: Getting Started with Containers 3. Chapter 2: Kubernetes Architecture 4. Chapter 3: Getting Hands-On with Kubernetes 5. Part 2: Big Data Stack
6. Chapter 4: The Modern Data Stack 7. Chapter 5: Big Data Processing with Apache Spark 8. Chapter 6: Building Pipelines with Apache Airflow 9. Chapter 7: Apache Kafka for Real-Time Events and Data Ingestion 10. Part 3: Connecting It All Together
11. Chapter 8: Deploying the Big Data Stack on Kubernetes 12. Chapter 9: Data Consumption Layer 13. Chapter 10: Building a Big Data Pipeline on Kubernetes 14. Chapter 11: Generative AI on Kubernetes 15. Chapter 12: Where to Go from Here 16. Index 17. Other Books You May Enjoy

Exploring the Kafka architecture

Kafka has a distributed architecture that consists of brokers, producers, consumers, topics, partitions, and replicas. At a high level, producers publish messages to topics, brokers receive those messages and store them in partitions, and consumers subscribe to topics and process the messages that are published to them.

Kafka relies on an external coordination service called Zookeeper, which helps manage the Kafka cluster. Zookeeper helps with controller election – selecting a broker to be the cluster controller. The controller is responsible for administrative operations such as assigning partitions to brokers and monitoring for broker failures. Zookeeper also helps brokers coordinate among themselves for operations such as leader election for partitions.

Kafka brokers are the main components of a Kafka cluster and handle all read/write requests from producers/consumers. Brokers receive messages from producers and expose data to consumers...

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