Book Image

The Kubernetes Workshop

By : Zachary Arnold, Sahil Dua, Wei Huang, Faisal Masood, Mélony Qin, Mohammed Abu Taleb
Book Image

The Kubernetes Workshop

By: Zachary Arnold, Sahil Dua, Wei Huang, Faisal Masood, Mélony Qin, Mohammed Abu Taleb

Overview of this book

Thanks to its extensive support for managing hundreds of containers that run cloud-native applications, Kubernetes is the most popular open source container orchestration platform that makes cluster management easy. This workshop adopts a practical approach to get you acquainted with the Kubernetes environment and its applications. Starting with an introduction to the fundamentals of Kubernetes, you’ll install and set up your Kubernetes environment. You’ll understand how to write YAML files and deploy your first simple web application container using Pod. You’ll then assign human-friendly names to Pods, explore various Kubernetes entities and functions, and discover when to use them. As you work through the chapters, this Kubernetes book will show you how you can make full-scale use of Kubernetes by applying a variety of techniques for designing components and deploying clusters. You’ll also get to grips with security policies for limiting access to certain functions inside the cluster. Toward the end of the book, you’ll get a rundown of Kubernetes advanced features for building your own controller and upgrading to a Kubernetes cluster without downtime. By the end of this workshop, you’ll be able to manage containers and run cloud-based applications efficiently using Kubernetes.
Table of Contents (20 chapters)
Preface

Virtual Machines versus Containers

A virtual machine (VM), as the name implies, aims to emulate a physical computer system. Technically, VMs are provisioned by a hypervisor, and the hypervisor runs on the host OS. The following diagram illustrates this concept:

Figure 1.1: Running applications on VMs

Figure 1.1: Running applications on VMs

Here, the VMs have full OS stacks, and the OS running on the VM (called the Guest OS) must rely on the underlying hypervisor to function. The applications and operating system reside and run inside the VM. Their operations go through the guest OS's kernel and are then translated to the system calls by the hypervisor, which are eventually executed on the host OS.

Containers, on the other hand, don't need a hypervisor underneath. By leveraging some Linux containerization technologies such as namespaces and cgroups (which we will revisit later), each container runs independently on the host OS. The following diagram illustrates containerization, taking Docker containers as an example:

Figure 1.2: Running applications in containers

Figure 1.2: Running applications in containers

It's worth mentioning that we put Docker beside the containers instead of between the containers and the host OS. That's because, technically, it's not necessary to have Docker Engine hosting those containers. Docker Engine plays more of a manager role to manage the life cycle of the containers. It is also inappropriate to liken Docker Engine to the hypervisor because once a container is up and running, we don't need an extra layer to "translate" the application operations to be understandable by the host OS. From Figure 1.2, you can also tell that applications inside the containers are essentially running directly on the host OS.

When we spin up a container, we don't need to bring up an entire OS; instead, it leverages the features of the Linux kernel on the host OS. Therefore, containers start up faster, function with less overhead, and require much less space compared to VMs. The following is a table comparing VMs with containers:

Figure 1.3: Comparison of VMs and Containers

Figure 1.3: Comparison of VMs and Containers

Looking at this comparison, it seems that containers win in all aspects except for isolation. The Linux container technologies that are leveraged by the containers are not new. The key Linux kernel features, namespace, and cgroup (which we will study later in this chapter) have existed for more than a decade. There were some older container implementations such as LXC and Cloud Foundry Warden before the emergence of Docker. Now, an interesting question is: given that container technology has so many benefits, why has it been adopted in recent years instead of a decade ago? We will find some answers to this question in the following sections.