Book Image

Hands-On Kubernetes on Windows

By : Piotr Tylenda
Book Image

Hands-On Kubernetes on Windows

By: Piotr Tylenda

Overview of this book

With the adoption of Windows containers in Kubernetes, you can now fully leverage the flexibility and robustness of the Kubernetes container orchestration system in the Windows ecosystem. This support will enable you to create new Windows applications and migrate existing ones to the cloud-native stack with the same ease as for Linux-oriented cloud applications. This practical guide takes you through the key concepts involved in packaging Windows-distributed applications into containers and orchestrating these using Kubernetes. You'll also understand the current limitations of Windows support in Kubernetes. As you advance, you'll gain hands-on experience deploying a fully functional hybrid Linux/Windows Kubernetes cluster for development, and explore production scenarios in on-premises and cloud environments, such as Microsoft Azure Kubernetes Service. By the end of this book, you'll be well-versed with containerization, microservices architecture, and the critical considerations for running Kubernetes in production environments successfully.
Table of Contents (23 chapters)
1
Section 1: Creating and Working with Containers
5
Section 2: Understanding Kubernetes Fundamentals
9
Section 3: Creating Windows Kubernetes Clusters
12
Section 4: Orchestrating Windows Containers Using Kubernetes

Creating a Kubernetes master node using kubeadm

For hybrid Windows/Linux Kubernetes clusters, you need to deploy a Linux master—this step remains almost the same as for Linux-only Kubernetes clusters, and you can use any supported operating system for this purpose. We have chosen Ubuntu Server 18.04 LTS as it is widely supported (officially and by the community), has a straightforward installation process, and is easy to manage.

Instructions in this chapter focus on adding Windows nodes to the Kubernetes cluster. Master preparation steps are minimal. If you are deploying a development cluster on your local machine, using kubeadm to deploy a single control plane in your cluster is sufficient. For production deployments, you should consider deploying an HA master configuration. You can read more about HA and kubeadm at: https://kubernetes.io/docs/setup/production-environment...