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

Deployment – patterns and best practices


There are different deployment approaches or patterns that can be used to address issues like down-times, reduce risks with deployment, and for a seamless development and deployment of software.

  • Continuous deployment: Continuous deployment is a deployment model where software is ready to go live at any time. Continuous delivery is possible only if tiers, including development, testing, and staging, are integrated continuously. In a continuous deployment model, multiple production deployments can occur in a day, and automatically, via a deployment pipeline. Since one is constantly deploying incremental changes, the continuous deployment mode minimizes deployment risks. In agile software development houses, it also helps the customer to track progress directly by seeing live code in production almost as soon as it leaves development and testing. There is also the added advantage of getting user feedback faster allowing faster iterations to the code...