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Hands-On Kubernetes on Windows

You're reading from   Hands-On Kubernetes on Windows Effectively orchestrate Windows container workloads using Kubernetes

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838821562
Length 592 pages
Edition 1st Edition
Languages
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Author (1):
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Piotr Tylenda Piotr Tylenda
Author Profile Icon Piotr Tylenda
Piotr Tylenda
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Table of Contents (23) Chapters Close

Preface 1. Section 1: Creating and Working with Containers
2. Creating Containers FREE CHAPTER 3. Managing State in Containers 4. Working with Container Images 5. Section 2: Understanding Kubernetes Fundamentals
6. Kubernetes Concepts and Windows Support 7. Kubernetes Networking 8. Interacting with Kubernetes Clusters 9. Section 3: Creating Windows Kubernetes Clusters
10. Deploying a Hybrid On-Premises Kubernetes Cluster 11. Deploying a Hybrid Azure Kubernetes Service Engine Cluster 12. Section 4: Orchestrating Windows Containers Using Kubernetes
13. Deploying Your First Application 14. Deploying Microsoft SQL Server 2019 and a ASP.NET MVC Application 15. Configuring Applications to Use Kubernetes Features 16. Development Workflow with Kubernetes 17. Securing Kubernetes Clusters and Applications 18. Monitoring Kubernetes Applications Using Prometheus 19. Disaster Recovery 20. Production Considerations for Running Kubernetes 21. Assessments 22. Other Books You May Enjoy

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...
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