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)
Section 1: Docker and Container Fundamentals
Section 2: Creating Kubernetes Development Clusters, Understanding objects, and Exposing Services
Section 3: Running Kubernetes in the Enterprise

Understanding the worker node components

Worker nodes, as the name implies, are responsible for running workloads. When we discussed the kube-scheduler component of the control plane, we mentioned that when a new Pod is scheduled, the kube-scheduler component will decide which node to run the Pod on. It does this using information that has been sent to it from the worker nodes. This information is constantly updated to help spread Pods around a cluster to utilize resources efficiently. Here is a list of the worker node components.


You may hear a worker node referred to as a kubelet. kubelet is an agent that runs on all worker nodes, and it is responsible for running the actual containers.


Contrary to the name, kube-proxy is not a proxy server at all. kube-proxy is responsible for routing network communication between a Pod and the outside network.

Container runtime

This is not represented in the picture, but each node also needs a container runtime...