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Implementing Cloud Design Patterns for AWS

You're reading from   Implementing Cloud Design Patterns for AWS Solutions and design ideas for solving system design problems

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789136203
Length 274 pages
Edition 2nd Edition
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Authors (4):
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Clive Harber Clive Harber
Author Profile Icon Clive Harber
Clive Harber
Sean Keery Sean Keery
Author Profile Icon Sean Keery
Sean Keery
Rick Farmer Rick Farmer
Author Profile Icon Rick Farmer
Rick Farmer
Marcus Young Marcus Young
Author Profile Icon Marcus Young
Marcus Young
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Table of Contents (18) Chapters Close

Preface 1. Section 1: The Basics FREE CHAPTER
2. Introduction to Amazon Web Services 3. Core Services - Building Blocks for Your Product 4. Availability Patterns - Understanding Your Needs 5. Security - Ensuring the Integrity of Your Systems 6. Section 2: DevOps Patterns
7. Continuous Deployment - Introducing New Features with Minimal Risk 8. Ephemeral Environments - Sandboxes for Experiments 9. Operation and Maintenance - Keeping Things Running at Peak Performance 10. Application Virtualization - Using Cloud Native Patterns for Your Workloads 11. Antipatterns - Avoiding Counterproductive Solutions 12. Section 3: Persistence Patterns
13. Databases - Identifying Which Type Fits Your Needs 14. Data Processing - Handling Your Data Transformation 15. Observability - Understanding How Your Products Are Behaving 16. Anti-Patterns - Bypassing Inferior Options 17. Other Books You May Enjoy

Analyzing your products

There's no point in running an environment and having products out in the wild if you don't understand how they are behaving; you can't just assume everything is fine. In fact, you need to work from the standpoint that nothing is fine and that it can all break at any time.

When you look at your environment in this manner, you will begin to realize that you need data in order to figure out what the issues are and how you might be able to resolve them. In theory, you will need to observe everything. The downside to all of this is that you will end up with a surplus of data—and, as a result, you will probably be swamped. In practice, however, observing everything (that is, every possible aspect of all of the tools in play) is impractical. You will need to decide what to watch in order to receive the best possible amount of information...

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