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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

Software performance engineering


Software performance engineering includes all the activities of software engineering and analysis applied during the Software Development Life Cycle (SDLC) and directed towards meeting performance requirements.

In conventional software engineering, performance testing and feedback are done usually towards the end of the SDLC. This approach is purely measurement-based and waits for the system to be developed before applying tests and diagnostics and tuning the system based on the results.

Another more formal model named Software Performance Engineering (SPE) itself, develops performance models early in the SDLC and uses results from the models to modify the software design and architecture to meet performance requirements in multiple iterations.

In this approach, both performance as a non-functional requirement and software development meeting its functional requirement go hand in hand. There is a specific Performance Engineering Life Cycle (PELC) that parallels...

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