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Implementing Cloud Design Patterns for AWS

You're reading from   Implementing Cloud Design Patterns for AWS Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud

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Product type Paperback
Published in Apr 2015
Last Updated in Feb 2025
Publisher
ISBN-13 9781782177340
Length 228 pages
Edition 1st Edition
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Author (1):
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 Young Young
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Young
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Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Basic Patterns 3. Patterns for High Availability 4. Patterns for Processing Static Data 5. Patterns for Processing Dynamic Data 6. Patterns for Uploading Data 7. Patterns for Databases 8. Patterns for Data Processing 9. Patterns for Operation and Maintenance 10. Patterns for Networking 11. Throw-away Environments Index

State sharing pattern


The previous patterns have aimed at dynamic content handling in the form of uploaded content. But it is obvious to most system administrators that this is not the only form of dynamic content in a system. Besides being able to upload and download files themselves, dynamic data can exist in the form of session data or state information. Imagine for a moment, a very simple server setup that consists of a web application in the form of a user management page and a database.

One system might compose the database while the other system handles the user management of the application. To do this, a user must log in with credentials to manipulate the data that comes in and out of the database server. If the system has no other components then when the user logs in, this information is retained in memory. This is not a good practice as memory itself is volatile and restricted in size. If a lot of users were to log in, or the system had to be rebooted, then the user would have...

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