Book Image

Kubernetes – An Enterprise Guide - Second Edition

By : Marc Boorshtein, Scott Surovich
Book Image

Kubernetes – An Enterprise Guide - Second Edition

By: Marc Boorshtein, Scott Surovich

Overview of this book

Kubernetes has taken the world by storm, becoming the standard infrastructure for DevOps teams to develop, test, and run applications. With significant updates in each chapter, this revised edition will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment. The book introduces you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll get to grips with containerization and understand its core functionalities such as creating ephemeral multinode clusters using KinD. The book has replaced PodSecurityPolicies (PSP) with OPA/Gatekeeper for PSP-like enforcement. You’ll integrate your container into a cloud platform and tools including MetalLB, externalDNS, OpenID connect (OIDC), Open Policy Agent (OPA), Falco, and Velero. After learning to deploy your core cluster, you’ll learn how to deploy Istio and how to deploy both monolithic applications and microservices into your service mesh. Finally, you will discover how to deploy an entire GitOps platform to Kubernetes using continuous integration and continuous delivery (CI/CD).
Table of Contents (17 chapters)
15
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16
Index

Deploying Kubernetes Using KinD

One of the largest obstacles to learning Kubernetes is having enough resources to create a cluster for testing or development. Like most IT professionals, we like to have a Kubernetes cluster on our laptops for demonstrations and for testing products in general.

Often, you may have a need to run a multiple node cluster, or multiple clusters for a complex demonstration or testing, such as a multi-cluster service mesh. These scenarios would require multiple servers to create the necessary clusters, which, in turn, would require a lot of RAM and a hypervisor.

To do full testing on a multiple cluster scenario, you would need to create multiple nodes for each cluster. If you created the clusters using virtual machines, you would need to have enough resources to run the virtual machines. Each of the machines would have an overhead including disk space, memory, and CPU utilization.

But what if you could create a cluster using just containers? Using...