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

Chapter 9: Deploying Your First Application

  1. The imperative approach consists of executing imperative kubectl commands, such as kubectl run or kubectl expose. In the declarative approach, you always modify object configurations (manifest files) and create or update them in the cluster using the kubectl apply command (alternatively, you can use Kustomization files).
  2. The imperative kubectl delete command is preferred over declarative deletion as it gives predictable results.
  3. kubectl diff -f <file/directory>

  1. The recommended practice is using nodeSelector for the predictable scheduling of your Pods for both Windows and Linux containers.
  2. You can use kubectl proxy to access any Service API object. kubectl port-forward is a more low-level command that you can use for accessing individual Pods or Pods running in a deployment or behind a service.
  3. Using an Ingress Controller is...