You're reading from The Kubernetes Bible The definitive guide to deploying and managing Kubernetes across major cloud platforms

Product type Paperback

Published in Feb 2022

Publisher Packt

ISBN-13 9781838827694

Length 680 pages

Edition 1st Edition

Tools

Kubernetes

Concepts

Containerization

Authors (3):

Nassim Kebbani

Piotr Tylenda

Russ McKendrick

View More author details

Table of Contents (28) Chapters

Preface

1. Section 1: Introducing Kubernetes

2. Chapter 1: Kubernetes Fundamentals FREE CHAPTER

3. Chapter 2: Kubernetes Architecture – From Docker Images to Running Pods

4. Chapter 3: Installing Your First Kubernetes Cluster

5. Section 2: Diving into Kubernetes Core Concepts

6. Chapter 4: Running Your Docker Containers

7. Chapter 5: Using Multi-Container Pods and Design Patterns

8. Chapter 6: Configuring Your Pods Using ConfigMaps and Secrets

9. Chapter 7: Exposing Your Pods with Services

10. Chapter 8: Managing Namespaces in Kubernetes

11. Chapter 9: Persistent Storage in Kubernetes

12. Section 3: Using Managed Pods with Controllers

13. Chapter 10: Running Production-Grade Kubernetes Workloads

14. Chapter 11: Deployment – Deploying Stateless Applications

15. Chapter 12: StatefulSet – Deploying Stateful Applications

16. Chapter 13: DaemonSet – Maintaining Pod Singletons on Nodes

17. Section 4: Deploying Kubernetes on the Cloud

18. Chapter 14: Kubernetes Clusters on Google Kubernetes Engine

19. Chapter 15: Launching a Kubernetes Cluster on Amazon Web Services with Amazon Elastic Kubernetes Service

20. Chapter 16: Kubernetes Clusters on Microsoft Azure with Azure Kubernetes Service

21. Section 5: Advanced Kubernetes

22. Chapter 17: Working with Helm Charts

23. Chapter 18: Authentication and Authorization on Kubernetes

24. Chapter 19: Advanced Techniques for Scheduling Pods

25. Chapter 20: Autoscaling Kubernetes Pods and Nodes

26. Chapter 21: Advanced Traffic Routing with Ingress

27. Other Books You May Enjoy

Summary

In this chapter, we looked at how Microsoft Azure came to be, along with a little bit of the history behind some of the container services offered by Microsoft, and how they eventually settled on AKS.

We then signed up for an Azure account and installed and configured the Azure CLI before launching our own AKS cluster. Once launched, we deployed the same workload we deployed to our Google Kubernetes Engine and Amazon Elastic Kubernetes Service clusters.

Once the workload was deployed, we moved onto the Azure portal and looked at the options for gaining insights into our workload and cluster as well as some of the cluster management options.

We then finally deleted the resources we launched, and discussed how much the cluster would cost to run.

Out of the three public cloud services we have looked at over the last three chapters, I personally believe that Microsoft has come up with the most rounded and feature-rich offering.

I would put Google's offering...