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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

Chapter 4. Patterns for Processing Static Data

A common topic that everyone in technology comes across is static data. Static data is just that: data that doesn't change. Some examples of static data would be HTML web pages with CSS and JavaScript, XML, binary files, and so on. When it comes to this type of data, the common issue that arises out of operations or development is what to do with it to get it to the end user.

Since this book is aimed at Cloud infrastructure and has been heavily tied to web applications, it might be obvious that the static data we will use throughout the examples will be binary data and static HTML. Let's suppose you have some static web pages such as documentation that needs to be accessible to an end user. We could easily just create a virtual machine to host it using Nginx or Apache but we are stuck again with having to solve redundancy, fail over, and high availability.

Instead of creating a virtual machine, load balancers, backup policies...

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