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Kubernetes and Docker - An Enterprise Guide

Kubernetes and Docker - An Enterprise Guide

By : Scott Surovich, Marc Boorshtein
4.6 (13)
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Kubernetes and Docker - An Enterprise Guide

Kubernetes and Docker - An Enterprise Guide

4.6 (13)
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)
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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

Why you need persistent data

Let's consider an example use case where you may want to write data to a persistent location from a container.

Let's say you have a system that requires you to deploy a MySQL database fronted by a web-based application running on NGINX. You start both containers for the application using standard docker run commands. You do some initial testing with the users and they confirm that everything is working as expected. The users were successful when it came to adding records, querying for records, editing, and deletions – this all worked correctly. After a few days of the container running, you receive an email from security telling all users that all MySQL servers need to have a new patch deployed as soon as possible to address a security vulnerability.

You quickly work on a new MySQL image that includes the newest patch and push it to your container registry. Working with the users, you decide a time to deploy the new container and...

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