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

Containerized Twelve-Factor Apps

Although the Twelve-Factor App methodology is older than the current trend toward containerization using Docker and related tools, it's very aligned. Both tools are oriented toward scalable services in the cloud, and containers help to create patterns that match the ones described in the Twelve-Factor methodology.

We will talk more about Docker containers in Chapter 8, Advanced Event-Driven Structures.

The most important, arguably, is the fact that the creation of an invariant container image that then gets run works very well with the Build, release, run factor and with being very explicit with Dependencies, as the whole image will include details such as the specific OS to use and any library. Including the build process as part of the repository also helps in the implementation of the Code base factor.

Each container also works as a Process, which allows scaling by creating multiple copies of the same container, using...