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Learning Windows Server Containers

You're reading from   Learning Windows Server Containers Build and deploy high-quality portable apps faster

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785887932
Length 404 pages
Edition 1st Edition
Languages
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Author (1):
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 Machiraju Machiraju
Author Profile Icon Machiraju
Machiraju
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Table of Contents (19) Chapters Close

Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Exploring Virtualization FREE CHAPTER 2. Deploying First Container 3. Working with Container Images 4. Developing Container Applications 5. Deploying Container Applications 6. Storage Volumes 7. Redis Cache Containers 8. Container Network 9. Continuous Integration and Delivery 10. Manage Resource Allocation and REST API 11. Composite Containers and Clustering 12. Nano Server

Container resource allocation


When we create a container using docker run, the container host does not set any resource constraints on the container. If you are planning to build a multi-tenant system to host a set of microservices as containers, you would want all the services to perform well. Each service would have its own resource requirements: some services may run CPU intensive workloads, some may run memory intensive work loads, like in-memory storage, and few may bank on high bandwidth. In a multi-tenant environment or shared infrastructure, resource usage should be constrained to avoid problems like noisy neighbors. If it's not, a CPU-intensive service might eat into the host system, which impacts other services running on the same host. The following image shows a typical noisy neighbor problem:

Noisy neighbor is a common problem in cloud-computing and shared infrastructure, where a co-tenant monopolizes bandwidth, disk, IO, CPU and other resources, and can negatively impact another...

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