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Microsoft Windows Azure Development Cookbook

You're reading from   Microsoft Windows Azure Development Cookbook Realize the full potential of Windows Azure with this superb Cookbook that has over 80 recipes for building advanced, scalable cloud-based services. Simply pick the solutions you need to answer your requirements immediately.

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Product type Paperback
Published in Aug 2011
Publisher Packt
ISBN-13 9781849682220
Length 392 pages
Edition 1st Edition
Languages
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Author (1):
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Neil Mackenzie Neil Mackenzie
Author Profile Icon Neil Mackenzie
Neil Mackenzie
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Table of Contents (16) Chapters Close

Microsoft Windows Azure Development Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Controlling Access in the Windows Azure Platform FREE CHAPTER 2. Handling Blobs in Windows Azure 3. Going NoSQL with Windows Azure Tables 4. Disconnecting with Windows Azure Queues 5. Developing Hosted Services for Windows Azure 6. Digging into Windows Azure Diagnostics 7. Managing Hosted Services with the Service Management API 8. Using SQL Azure 9. Looking at the Windows Azure AppFabric Index

Introduction


Windows Azure is the paradigm of the Platform-as-a-Service model (PaaS) of cloud computing. A hosted service can be developed and deployed to any of several Windows Azure data centers located across the World. A service hosted in Windows Azure can leverage the high scalability and reduced administrative benefits of the PaaS model.

A hosted service is an administrative and security boundary. Administrative because applications in it are packaged and deployed as a whole, and security because the hosted service is accessible from outside only through load-balanced endpoints. An application deployed into a hosted service comprises a set of roles, instances of which are deployed to virtual machines (VM) to implement service functionality.

A role is the scalability unit of a hosted service in that it provides vertical scaling, through the use of a larger VM size for instances of the role, and horizontal scaling through the elastic deployment of a workload-dependent number of instances...

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