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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

Scale up pattern

The scale up pattern is a method that allows a server to change size and specifications dynamically, and as needed. Imagine a running web instance that does a bit of computation per request. Initially, it performs extremely well, but over time traffic becomes heavier and causes the computation time to increase. A couple of options exist to solve this problem, but all have their own benefits and issues.

One option could be to spin up a second instance (or scale outwards), but this means double the cost, as well as any maintenance required to be performed on each server. For applications in the Cloud, it is important not only to think of the cost involved in the server, but also the implied costs, such as operational. The easiest solution might be to change the specs on the current server or scaling up. A benefit of this method is that, if the processing peak can be predicted, such as the beginning of the month or the end of the month transactions, this method can be automated...

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