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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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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

Deploying Spark on Kubernetes

To help us deploy resources on Kubernetes, we are going to use Helm. Helm is a package manager for Kubernetes that helps install applications and services. Helm uses templates called Charts, which package up installation configuration, default settings, dependencies, and more, into an easy-to-deploy bundle.

On the other hand, we have Operators. Operators are custom controllers that extend the Kubernetes API to manage applications and their components. They provide a declarative way to create, configure, and manage complex stateful applications on Kubernetes.

Some key benefits of using operators include the following:

  • Simplified application deployment and lifecycle management: Operators abstract away low-level details and provide high-level abstractions for deploying applications without needing to understand the intricacies of Kubernetes
  • Integration with monitoring tools: Operators expose custom metrics and logs, enabling integration...
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