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

Kubernetes networking principles

As a container orchestrator, Kubernetes provides a networking model that consists of a set of requirements that any given networking solution must fulfill. The most important requirements are as follows:

  • Pods running on a node must be able to communicate with all Pods on all nodes (including the Pod's node) without NAT and explicit port mapping.
  • All Kubernetes components running on a node, for example kubelet or system daemons/services, must be able to communicate with all Pods on that node.

These requirements enforce a flat, NAT-less network model, which is one of the core Kubernetes concepts that make it so powerful, scalable, and easy to use. From this perspective, Pods are similar to VMs running in a Hyper-V cluster—each Pod has its own IP address assigned (IP-per-Pod model), and containers within a Pod share the same network...