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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

Multi-server pattern

Consider a two-tier architecture in which there is a User Interface (UI) instance that connects to a database instance. Now suppose that the system gets a large burst of traffic. Using the scale out pattern discussed in Chapter 2, Basic Patterns, the operations team can manually or automatically add more UI instances to the load balancer to mitigate the flux in traffic. This server redundancy pattern is the multi-server pattern. This pattern includes a healthcheck on the instance so that, if one of the instances that the load is being distributed across is misbehaving, it will not continue to route into it.

Note

One might note that this pattern is similar to the scale out pattern except that it is not dynamic in nature. In this pattern, we are discussing the details of adding horizontal scalability in a much simpler example.

A few things should be noted before we continue, however. It has been found, in my personal usage as well as documented cases, that the servers should...

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