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

Issues in EAI


The successful integration of enterprise applications is usually affected by a number of factors; let's take a look:

  • Proprietary data formats: Some of the applications use their own proprietary data formats with very little documentation on how to integrate with them, preventing integration between the applications or causing the application integration to be of poor quality, and therefore resulting in a number of issues.
  • Data consistency issues: Maintaining data consistency can turn out to be a problem for EAI. When every application maintains their own data source, the consistency of data across the different data sources can turn out to be problematic, especially if the middleware is experiencing heavy loads, resulting in different versions of the same data to persist across the infrastructure.
  • Performance implications: Inside EAI, a middleware is responsible for providing a glue between the different applications. This glue layer facilitates the transformation and transportation...