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

Designing a pipeline

The term "pipeline" is used extensively in the Kubernetes and DevOps world. Very simply, a pipeline is a process, usually automated, that takes code and gets it running. This usually involves the following:

Figure 14.1 – A simple pipeline

Let's quickly run through the steps involved in this process:

  1. Storing the source code in a central repository, usually Git
  2. When code is committed, building it and generating artifacts, usually a container
  3. Telling the platform – in this case, Kubernetes – to roll out the new containers and shut down the old ones

This is about as basic as a pipeline can get and isn't of much use in most deployments. In addition to building our code and deploying it, we want to make sure we scan containers for known vulnerabilities. We may also want to run our containers through some automated testing before going into production. In enterprise deployments, there...