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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

Monitoring integration pattern


One of the many great things about the AWS ecosystem is the amount of tooling at your disposal. A very large portion of work for any operations team is the monitoring of the systems' health. These checks could be scratch-level checks such as CPU usage, RAM information, and disk information. However, monitoring applications is not an easy task.

When it comes to knowing whether or not a system is actually performing, it is more than just knowing if the hardware is fine: it's about knowing a slew of other information that changes based on the perspective of the operations team as well as the architecture of the application itself.

If it is a Java application, is the JVM configured and running as expected? If it's a PHP application, does the system have enough memory allocated to the engine? There are some questions that are fuzzy in nature. For example, if it's a database, are there any queries that are taking 'too long'?

The good thing is that AWS has created the...

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