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

Exploring the control plane

As its name suggests, the control plane controls every aspect of a cluster. If your control plane goes down, you can probably imagine that your cluster will encounter issues. Without a control plane, a cluster will not have any scheduling abilities, which means that workloads that are running will remain running unless they are stopped and restarted. Since the control plane is extremely important, it is always suggested that you have at least three master nodes. Many production installations run more than three master nodes, but the number of installed nodes should always be an odd number. Let's look at why the control plane and its components are so vital to a running cluster by examining each one.

The Kubernetes API server

The first component to understand in a cluster is the kube-apiserver component. Since Kubernetes is application programming interface (API)-driven, every request that comes into a cluster goes through the API server. Let&apos...