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 Concepts and Windows Support

In the previous chapters, we focused on containerization and Docker support on the Windows platform. These concepts were mainly limited to single-machine scenarios, where the application requires only one container host. For production-grade distributed container systems, you have to consider different aspects, such as scalability, high availability, and load balancing, and this always requires orchestrating containers running on multiple hosts.

Container orchestration is a way of managing the container life cycle in large, dynamic environments it ranges from provisioning and deploying containers to managing networks, providing redundancy and high-availability of containers, automatically scaling up and down container instances, automated health checks, and telemetry gathering. Solving the problem of container orchestration is non...