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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
Publisher
ISBN-13 9781782177340
Length 228 pages
Edition 1st Edition
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Author (1):
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Marcus Young Marcus Young
Author Profile Icon Marcus Young
Marcus 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

Weighted transition pattern


The previous patterns, up until this point, either help to mitigate encountered problems or give unique solutions to possible problems. We have not discussed a lot of patterns that help to test our infrastructure.

Perhaps our system consists of a web server and a database server, as is often the case. Upgrading these can be done incrementally with zero downtime, as we've shown in previous patterns, but we have only discussed ways to do a full upgrade.

Let us suppose that some code changes are pending deployment on the web instance that requires a migration on the database instance. This is a hefty change that might cause a lot of headaches if it is not tested thoroughly before being released into a production environment. While testing it in a staging system is quite common and is a great way to uncover issues, both from usage and from a deployment standpoint, it may not catch everything.

The weighted transition pattern is one of the many patterns that exist for...

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