Book Image

Mastering Python Design Patterns - Second Edition

By : Kamon Ayeva, Sakis Kasampalis
Book Image

Mastering Python Design Patterns - Second Edition

By: Kamon Ayeva, Sakis Kasampalis

Overview of this book

Python is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You'll also fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You'll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you'll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size.
Table of Contents (17 chapters)

The Cache-Aside pattern

In situations where data is more frequently read than updated, applications use a cache to optimize repeated access to information stored in a database or data store. In some systems, that type of caching mechanism is built-in and works automatically. When this is not the case, we have to implement it in the application ourselves, using a caching strategy that is suitable for the particular use case.

One such strategy is called Cache-Aside, where, to quote the description in Microsoft's documentation about Cloud-Native patterns (see https://docs.microsoft.com/en-us/previous-versions/msp-n-p/dn589799(v=pandp.10)), we perform the following:

Load data on demand into a cache from a data store, as an attempt to improve performance, while maintaining consistency between data held in the cache and the data in the underlying data store.
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