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

Understanding the execution of a serverless application


So far, we've learned that a serverless application is built in the form of functions that execute based on the occurrence of some event. Also, these functions do not stay alive forever. Instead, these functions are brought into execution as requirements arise. So, how does the provider handle the execution of these functions when a request comes in? Let's take a look.

Cold-starting a function

When the application has been freshly deployed, it is pretty easy to imagine that there will be no instances of the function that will be executing currently. When a newrequest comes in that asks for the functionality provided by the function we have just deployed on the infrastructure. Now, the cloud provider systems are notified that there are no running instances of the function that can handle the incoming request.

Once the provider system is made aware of the situation, it spawns up a new instance with the function code inside it. This instance...