Book Image

Python Architecture Patterns

By : Jaime Buelta
Book Image

Python Architecture Patterns

By: Jaime Buelta

Overview of this book

Developing large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier. This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity—and get the most value out of their test suites. Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished. By the end of this Python book, you will have developed "architectural thinking": a different way of approaching software design, including making changes to ongoing systems.
Table of Contents (23 chapters)
2
Part I: Design
6
Part II: Architectural Patterns
12
Part III: Implementation
15
Part IV: Ongoing operations
21
Other Books You May Enjoy
22
Index

Summary

In this chapter, we described what the principles behind Domain-Driven Design are, to orient the abstraction of storing data and use rich objects that follow business principles. We also described ORM frameworks and how they can be useful to remove the need to deal with low-level interaction with specific libraries to work with the storage layer. We described different useful techniques for the code to interact with the database, like the Unit of Work pattern, which is related to the concept of a transaction, and CQRS for advanced cases where the write and read are addressed to different backends.

We also discussed how to deal with database changes, both with explicit migrations that change the schema and with more soft changes that migrate the data as the application is running.

Finally, we described different methods to deal with legacy databases, and how to create models to create a proper software abstraction when there's no control over the current schema...