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Running Windows Containers on AWS

You're reading from   Running Windows Containers on AWS A complete guide to successfully running Windows containers on Amazon ECS, EKS, and AWS Fargate

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804614136
Length 212 pages
Edition 1st Edition
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Author (1):
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Marcio Morales Marcio Morales
Author Profile Icon Marcio Morales
Marcio Morales
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Why Windows Containers on Amazon Web Services (AWS)?
2. Chapter 1: Windows Container 101 FREE CHAPTER 3. Chapter 2: Amazon Web Services – Breadth and Depth 4. Part 2: Windows Containers on Amazon Elastic Container Service (ECS)
5. Chapter 3: Amazon ECS – Overview 6. Chapter 4: Deploying a Windows Container Instance 7. Chapter 5: Deploying an EC2 Windows-Based Task 8. Chapter 6: Deploying a Fargate Windows-Based Task 9. Part 3: Windows Containers on Amazon Elastic Kubernetes Service (EKS)
10. Chapter 7: Amazon EKS – Overview 11. Chapter 8: Preparing the Cluster for OS Interoperability 12. Chapter 9: Deploying a Windows Node Group 13. Chapter 10: Managing a Windows Pod 14. Part 4: Operationalizing Windows Containers on AWS
15. Chapter 11: Monitoring and Logging 16. Chapter 12: Managing a Windows Container's Image Life Cycle 17. Chapter 13: Working with Ephemeral Hosts 18. Chapter 14: Implementing a Container Image Cache Strategy 19. Chapter 15: AWS Windows Containers Deployment Tools 20. Index 21. Other Books You May Enjoy

Exploring Windows host and Pod resource management

In Chapter 1, Windows Container 101, we learned how Windows Server implements resource management on Windows containers and how the Host Computer Service (HCS) governs these resources.

In Kubernetes, you can specify how many resources (memory, RAM, and CPU) a Pod can request and be limited to before it gets scheduled to a host. kube-scheduler is responsible for using the request/limit information in order to decide which node to schedule the Pod on.

We learned that the Windows Server OS is entirely different from Linux, thus changing the behavior of how a Windows Pod performs and allocates memory and CPU per Pod. I often see customers overlooking Amazon EC2 Windows node capacity planning and usually only figuring out they could have done better when the problem has already happened. The beauty of the cloud is that it allows quick changes, but imagine if it did not do so.

However, understanding how resource management works...

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