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

Using development clusters

Over the years, various tools have been created to install development Kubernetes clusters, allowing admins and developers to perform testing on a local system. Many of these tools worked for basic Kubernetes tests, but they often had limitations that made them less than ideal for quick, advanced scenarios.

Some of the most common solutions available are as follows:

  • Docker Desktop
  • minikube
  • kubeadm

Each solution has benefits, limitations, and use cases. Some solutions limit you to a single node that runs both the control plane and worker nodes. Others offer multi-node support but require additional resources to create multiple virtual machines. Depending on your development or testing requirements, these solutions may not fill your needs completely.

It seems that a new solution is coming out every few weeks, and one of the newest options for creating development clusters is a project from a Kubernetes in Docker (KinD) Kubernetes...