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Microsoft Silverlight 5 and Windows Azure Enterprise Integration

You're reading from   Microsoft Silverlight 5 and Windows Azure Enterprise Integration A step-by-step guide to creating and running scalable Silverlight Enterprise Applications on the Windows Azure platform with this book and ebook

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Product type Paperback
Published in Mar 2012
Publisher Packt
ISBN-13 9781849683128
Length 304 pages
Edition 1st Edition
Languages
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Author (1):
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David Burela David Burela
Author Profile Icon David Burela
David Burela
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Table of Contents (19) Chapters Close

Microsoft Silverlight 5 and Windows Azure Enterprise Integration
Credits
About the Author
1. Acknowledgement
About the Reviewers
2. www.PacktPub.com
3. Preface
1. Getting Started FREE CHAPTER 2. Introduction to Windows Azure 3. Hosting Silverlight Applications in Azure 4. Using Azure Queues with Silverlight 5. Accessing Azure Blob Storage from Silverlight 6. Storing Data in Azure Table Storage from Silverlight 7. Relational Data with SQL Azure and Entity Framework 8. RIA Services and SQL Azure 9. Exposing OData to Silverlight Applications 10. Web-scale Considerations 11. Application Authentication 12. Using Azure AppFabric Caching to Improve Performance

Chapter 12. Using Azure AppFabric Caching to Improve Performance

Caching is an essential part of the tool that enables applications to scale in order to handle a large number of concurrent requests. This chapter will explore what data caching is and how it can improve the performance of your application. A sample application will be created that adds an AppFabric cache to RIA Services.

The topics covered will be as follows:

  • Data caching

  • Azure AppFabric caching

  • Caching raw data in AppFabric

  • ASP.NET session caching

Data caching

Data caching is used to improve the performance of applications. The performance gains are achieved by creating a copy of the master data and storing it in a location that the consumer can access faster than the original data (for example, holding it in the memory rather than fetching it from a database). Caching is typically done on the data that is accessed frequently (such as lookup tables) or is expensive to obtain (long request times, data calculations, and so on.)

Using...

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