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

Configuration

One of the basic ideas of the Twelve-Factor App is that the code is unique, but it can be adjusted through configuration. This enables the same code to be used and deployed in different environments.

The use of different environments allows testing environments to be set up, where tests can be run without affecting production data. They are a more controlled place for experimenting or trying to replicate real problems in a sandbox. There's also another environment that is not typically thought of as such, which is the local development environment, where developers are able to check that the system works.

Creating a comprehensive and easy-to-use local environment is a critical aspect of developer productivity. When working with a single service or process, such as a web server, it is relatively easy to set up, as most projects will allow starting in a dev mode, but once there are more elements, it becomes more difficult to set up.

Complex settings...