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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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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: The Basics
2. Introduction to Amazon Web Services FREE CHAPTER 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

High availability

One of the primary benefits of the public cloud is its geographical dispersion of resources. This distribution allows you to build highly available solutions at low cost. Availability covers a number of diverse topics. Depending on the customer, it can be measured in different ways. Traditionally, system uptime was the primary indicator. In the pre-cloud era, five nines was a good goal to have. This meant that your systems were up 99.999% of the time; downtime could be no more than five and a half minutes per year. As microservices became more prevalent in the cloud era, and systems got distributed across the globe, five nines became unrealistic. This is because complex systems inherently have more potential failure points and are more difficult to implement correctly. In a simple example with three components, each having five nines, the formula 99.999...

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