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

Summary

In this long chapter, you learned how to set up monitoring of your application running in Windows containers on Kubernetes. First, we took a look at available monitoring solutions and determined which fit our use case with Windows nodesthe best choice currently is using a dedicated instance of Prometheus together with Grafana. Next, you learned how to make Windows nodes observable in terms of hardware, operating system, and container runtime using WMI Exporter and the experimental Docker Engine metrics service. We have shown how you can install and configure these agents on an AKS Engine cluster using extensions.

The next step was the Deployment of Prometheus and Grafana using Helm charts. You needed to ensure that Prometheus scraping jobs are capable of discovering the new metrics endpoints on Windows nodes. After that, we focused on monitoring inside the container...