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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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Concepts
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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

Summary

In this chapter, we covered the fundamentals of containers and how to build and run them using Docker. Containers provide a lightweight and portable way to package applications and their dependencies so they can run reliably across environments.

You learned about key concepts such as images, containers, Dockerfiles, and registries. We installed Docker and ran simple containers such as NGINX and Julia to get hands-on experience. You built your own containers for a batch processing job and API service, defining Dockerfiles to package dependencies.

These skills allow you to develop applications and containerize them for smooth deployment anywhere. Containers are super useful as they ensure your software runs exactly as intended every time.

In the next chapter, we will look at orchestrating containers using Kubernetes to easily scale, monitor, and manage containerized applications. We will take a look at the most important Kubernetes concepts and components and learn how...

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