Book Image

Kubernetes and Docker - An Enterprise Guide

By : Scott Surovich, Marc Boorshtein
Book Image

Kubernetes and Docker - An Enterprise Guide

By: Scott Surovich, Marc Boorshtein

Overview of this book

Containerization has changed the DevOps game completely, with Docker and Kubernetes playing important roles in altering the flow of app creation and deployment. This book will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment. The book begins by introducing you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll then get to grips with containerization and understand its core functionalities, including how to create ephemeral multinode clusters using kind. As you make progress, you’ll learn about cluster architecture, Kubernetes cluster deployment, and cluster management, and get started with application deployment. Moving on, you’ll find out how to integrate your container to a cloud platform and integrate tools including MetalLB, externalDNS, OpenID connect (OIDC), pod security policies (PSPs), Open Policy Agent (OPA), Falco, and Velero. Finally, you will discover how to deploy an entire platform to the cloud using continuous integration and continuous delivery (CI/CD). By the end of this Kubernetes book, you will have learned how to create development clusters for testing applications and Kubernetes components, and be able to secure and audit a cluster by implementing various open-source solutions including OpenUnison, OPA, Falco, Kibana, and Velero.
Table of Contents (20 chapters)
1
Section 1: Docker and Container Fundamentals
5
Section 2: Creating Kubernetes Development Clusters, Understanding objects, and Exposing Services
9
Section 3: Running Kubernetes in the Enterprise

Chapter 4: Deploying Kubernetes Using KinD

One of the largest obstacles to learning Kubernetes is having enough resources to create a cluster for testing or development. Like most IT professionals, we like to have a Kubernetes cluster on our laptops for demonstrations and for testing products in general.

Often, you may have a need to run multiple clusters for a complex demonstration, such as a multi-cluster service mesh or testing kubefed2. These scenarios would require multiple servers to create the necessary clusters, which, in turn, would require a lot of RAM and a hypervisor.

To do full testing on a multiple cluster scenario, you would need to create six nodes for each cluster. If you created the clusters using virtual machines, you would need to have enough resources to run 6 virtual machines. Each of the machines would have an overhead including disk space, memory, and CPU utilization.

But what if you could create a cluster using just containers? Using containers,...