Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Python Design Patterns

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

Arrow left icon
Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837639618
Length 296 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
Arrow right icon
View More author details
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

...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime