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Mastering Kubernetes

You're reading from   Mastering Kubernetes Dive into Kubernetes and learn how to create and operate world-class cloud-native systems

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781804611395
Length 746 pages
Edition 4th Edition
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Author (1):
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Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
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Table of Contents (21) Chapters Close

Preface 1. Understanding Kubernetes Architecture 2. Creating Kubernetes Clusters FREE CHAPTER 3. High Availability and Reliability 4. Securing Kubernetes 5. Using Kubernetes Resources in Practice 6. Managing Storage 7. Running Stateful Applications with Kubernetes 8. Deploying and Updating Applications 9. Packaging Applications 10. Exploring Kubernetes Networking 11. Running Kubernetes on Multiple Clusters 12. Serverless Computing on Kubernetes 13. Monitoring Kubernetes Clusters 14. Utilizing Service Meshes 15. Extending Kubernetes 16. Governing Kubernetes 17. Running Kubernetes in Production 18. The Future of Kubernetes 19. Other Books You May Enjoy
20. Index

Using Kustomization for hierarchical cluster structures

This is not a typo. Kubectl recently incorporated the functionality of kustomize (https://kustomize.io/). It is a way to configure Kubernetes without templates. There was a lot of drama about the way the kustomize functionality was integrated into kubectl itself, since there are other options and it was an open question if kubectl should be that opinionated. But, that’s all in the past. The bottom line is that kubectl apply -k unlocks a treasure trove of configuration options. Let’s understand what problem it helps us to solve and take advantage of it to help us manage Hue.

Understanding the basics of kustomize

Kustomize was created as a response to template-heavy approaches like Helm to configure and customize Kubernetes clusters. It is designed around the principle of declarative application management. It takes a valid Kubernetes YAML manifest (base) and specialize it or extend it by overlaying additional YAML patches...

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