Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786468529
Length 556 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Anand Balachandran Pillai Anand Balachandran Pillai
Author Profile Icon Anand Balachandran Pillai
Anand Balachandran Pillai
Arrow right icon
View More author details
Toc

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

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image