Book Image

Hands-On Enterprise Application Development with Python

By : Saurabh Badhwar
Book Image

Hands-On Enterprise Application Development with Python

By: Saurabh Badhwar

Overview of this book

Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python.
Table of Contents (24 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Probing an application for performance issues


Performance is a critical component of any enterprise-grade application, and you cannot afford to have an application that slows down often and impacts the business process of the whole organization. Unfortunately, performance issues are also one of the most complex issues to understand and debug. This complexity arises because there's no standard way to access the performance of a particular piece of code inside the application, and because once the application has been developed, the complete flow of code needs to be understood so as to pinpoint the possible areas that might cause a specific performance issue.

As developers, we can reduce these hardships by building our application in such a way that the application reports its own performance metrics. Along with this, we can write benchmark tests that run alongside unit tests to help us flag the components that may become a possible bottleneck once the application is deployed in production...