Book Image

The Kubernetes Bible

By : Nassim Kebbani, Piotr Tylenda, Russ McKendrick
4 (3)
Book Image

The Kubernetes Bible

4 (3)
By: Nassim Kebbani, Piotr Tylenda, Russ McKendrick

Overview of this book

With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.
Table of Contents (28 chapters)
1
Section 1: Introducing Kubernetes
5
Section 2: Diving into Kubernetes Core Concepts
12
Section 3: Using Managed Pods with Controllers
17
Section 4: Deploying Kubernetes on the Cloud
21
Section 5: Advanced Kubernetes

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...