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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns A guide to creating smart, efficient, and reusable software

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781788837484
Length 248 pages
Edition 2nd Edition
Languages
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Authors (2):
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Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
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Toc

Table of Contents (17) Chapters Close

Preface 1. The Factory Pattern FREE CHAPTER 2. The Builder Pattern 3. Other Creational Patterns 4. The Adapter Pattern 5. The Decorator Pattern 6. The Bridge Pattern 7. The Facade Pattern 8. Other Structural Patterns 9. The Chain of Responsibility Pattern 10. The Command Pattern 11. The Observer Pattern 12. The State Pattern 13. Other Behavioral Patterns 14. The Observer Pattern in Reactive Programming 15. Microservices and Patterns for the Cloud 16. Other Books You May Enjoy

The Retry pattern

Retrying is an approach that is more and more needed in the context of microservices and cloud-based infrastructure where components collaborate with each other, but are not developed, deployed, and operated by the same teams and parties.

In its daily operation, parts of a cloud-native application may experience what is called transient faults or failures, meaning some mini-issues that can look like bugs, but are not due to your application itself but to some constraints outside of your control such as the networking or the external server/service performance. As a result, your application may dysfunction (at least that could be the perception of your users) or even hang at some places. The answer to the risk of such failures is to put in place some retry logic, so that we pass through the issue, by calling the service again, maybe immediately or after some wait...

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