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

Asynchronous communication in microservices


Inside a microservices architecture, every service does one job and does it well. To achieve any meaningful response for a business application, these services need to communicate with each other. All of this communication happens over the network.

Here, a service makes a request to another service and then waits for the response to come back. But there is a catch. What if the other service takes a long time to process the request, or the service is down? What happens then?

Most of the time, the request will time out. But if this service was a critical service, then the number of requests that might be arriving at it may be huge and can keep on getting queued up. If the service is slow, this will make the response times even worse, and will result in more and more requests experiencing timeouts.

But what if the requesting client could just make a request and then register a callback when a response is ready? This would greatly simplify the whole process...