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 went into the details about how web servers work, and the different layers that are involved.

We started by describing the fundamental details of the request-response and web server architecture. Then, we moved on to describe a system with three layers, using nginx as the front web server and uWSGI to handle multiple Python workers that run Django code.

We started with the web server itself, which allows you to serve HTTP, directly return the static content stored in files, and route it towards the next layer. We analyzed the different configuration elements, including enabling header forwarding and logging.

We continued by describing how uWSGI works and how it's able to create and set up different processes that interact through the WSGI protocol in Python. We described how to set up the interaction with the previous level (the nginx web server) and the next level (the Python code). We also described how the workers can be restarted in...