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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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Toc

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

Chapter 14: Monitoring Kubernetes Applications Using Prometheus

  1. Providing observability for your components means exposing information about their inner state so that you can access the data easily and reason about the actual state of your components. In other words, if something is observable, you can understand it.
  2. WMI Exporter can be used to monitor a Windows node host OS and hardware. For monitoring the Docker Engine itself, you can use the experimental metrics server exposed by the Engine.
  3. In production environments running at a large scale, you can use Prometheus Operator to easily deploy and manage multiple Prometheus clusters for different needs.
  4. WMI Exporter and the Docker Engine metrics server are exposing the metrics on dedicated ports on each node. We need two extra scraping jobs that handle them individually.
  5. Use the Telegraf service hosted directly in your container...
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