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Hands-On Enterprise Application Development with Python

You're reading from   Hands-On Enterprise Application Development with Python Design data-intensive Application with Python 3

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789532364
Length 374 pages
Edition 1st Edition
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Author (1):
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Saurabh Badhwar Saurabh Badhwar
Author Profile Icon Saurabh Badhwar
Saurabh Badhwar
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Table of Contents (19) Chapters Close

Preface 1. Using Python for Enterprise FREE CHAPTER 2. Design Patterns – Making a Choice 3. Building for Large-Scale Database Operations 4. Dealing with Concurrency 5. Building for Large-Scale Request Handling 6. Example – Building BugZot 7. Building Optimized Frontends 8. Writing Testable Code 9. Profiling Applications for Performance 10. Securing Your Application 11. Taking the Microservices Approach 12. Testing and Tracing in Microservices 13. Going Serverless 14. Deploying to the Cloud 15. Enterprise Application Integration and its Patterns 16. Microservices and Enterprise Application Integration 17. Assessment 18. Other Books You May Enjoy

Behind the scenes of performance bottlenecks


Before an application enters the development phase, there is a thorough discussion on what the application is supposed to do, how it will do it, and what kind of third-party components the application will need to interact with. Once all of this is finalized, the application enters the development phase, where the developers are responsible for building the application in such a way that the tasks to be performed by the application can be achieved in the most efficient manner possible. This efficiency is usually measured in terms of how much time an application takes to complete a provided task and how many resources it uses while working on that task.

When the application is deployed into production, the real test of the application begins. Most of the time, if the work being done by the application is the same as was defined during the requirements-gathering and design phases, the application usually performs well and provides an adequate scalability...

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