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

Provisioning observable Windows nodes

The HTTP pull model that Prometheus uses perfectly aligns with the separation of concerns between observability and monitoring itself. The component or machine is responsible for exposing appropriate data and metricsit allows being observedand Prometheus periodically consumes the available data in the process called scraping. This means that if you have a way of exposing metrics in Prometheus format at some HTTP endpoint, you can use Prometheus for monitoring! It can be hardware telemetry exposed by a system service or even your own metrics accessible by an additional HTTP endpoint in your .NET application.

Now, there is the question of how to gather the metrics data on the Windows operating system and expose it. We are interested in the following:

  • Hardware-related metrics, for example, CPU, memory, network, and I/O metrics...