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Software Architecture with Python

You're reading from   Software Architecture with Python Design and architect highly scalable, robust, clean, and high performance applications in Python

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786468529
Length 556 pages
Edition 1st Edition
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Author (1):
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Anand Balachandran Pillai Anand Balachandran Pillai
Author Profile Icon Anand Balachandran Pillai
Anand Balachandran Pillai
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Table of Contents (12) Chapters Close

Preface 1. Principles of Software Architecture FREE CHAPTER 2. Writing Modifiable and Readable Code 3. Testability – Writing Testable Code 4. Good Performance is Rewarding! 5. Writing Applications that Scale 6. Security – Writing Secure Code 7. Design Patterns in Python 8. Python – Architectural Patterns 9. Deploying Python Applications 10. Techniques for Debugging 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...

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