Book Image

Software Architecture with Python

By : Anand Balachandran Pillai
Book Image

Software Architecture with Python

By: Anand Balachandran Pillai

Overview of this book

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.
Table of Contents (18 chapters)
Software Architecture with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Deployability


The deployability of a software system is the ease with which it can be taken from development to production. It can be measured in terms of the effort–in terms of man-hours, or complexity–in terms of the number of disparate steps required for deploying code from a development to production environment.

It is a common mistake to assume that a code that runs well in a development or staging system would behave in a similar way in a production system. It is not often the case due to the vastly dissimilar requirements that a production system has when compared to a development one.

Factors affecting Deployability

Here is a brief look at some of the factors that differentiate a production system from a development one, which can often give rise to unexpected issues in deployment leading to Production Gotchas:

  • Optimizations and debugging: It is very common for development systems to turn off optimizations in code.

    If your code is running in an interpreted runtime like Python, it is...