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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns Craft essential Python patterns by following core design principles

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837639618
Length 296 pages
Edition 3rd Edition
Languages
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Authors (2):
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Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Start with Principles FREE CHAPTER
2. Chapter 1: Foundational Design Principles 3. Chapter 2: SOLID Principles 4. Part 2: From the Gang of Four
5. Chapter 3: Creational Design Patterns 6. Chapter 4: Structural Design Patterns 7. Chapter 5: Behavioral Design Patterns 8. Part 3: Beyond the Gang of Four
9. Chapter 6: Architectural Design Patterns 10. Chapter 7: Concurrency and Asynchronous Patterns 11. Chapter 8: Performance Patterns 12. Chapter 9: Distributed Systems Patterns 13. Chapter 10: Patterns for Testing 14. Chapter 11: Python Anti-Patterns 15. Index 16. Other Books You May Enjoy

The Retry pattern

Retrying is an approach that is increasingly needed in the context of distributed systems. Think about microservices or cloud-based infrastructures where components collaborate with each other but are not developed or deployed/operated by the same teams and parties.

In its daily operation, parts of a cloud-native application may experience what are called transient faults or failures, meaning some mini-issues that can look like bugs but are not due to your application itself; rather, they are due to some constraints outside of your control such as the networking or the external server/service performance. As a result, your application may malfunction (at least, that could be the perception of your users) or even hang in 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 time (such as a few seconds).

Real-world examples

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