Book Image

Software Architecture with Python

By : Anand Balachandran Pillai
Book Image

Software Architecture with Python

By: Anand Balachandran Pillai

Overview of this book

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.
Table of Contents (18 chapters)
Software Architecture with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Summary


In this chapter, we reused a lot of ideas and concepts that you learned in the previous chapter on performance.

We started with a definition of scalability, and looked at its relation with other aspects like concurrency, latency, and performance. We briefly compared and contrasted concurrency and its close cousin parallelism.

We then went on to discuss various concurrency techniques in Python with detailed examples and performance comparisons. We used a thumbnail generator with random URLs from the Web as an example to illustrate the various techniques of implementing concurrency using multi-threading in Python. You also learned and saw an example of the producer/consumer pattern, and using a couple of examples, learned how to implement resource constraints and limits using synchronization primitives.

Next we discussed how to scale applications using multi-processing and saw a couple of examples using the multiprocessing module – such as a primality checker which showed us the effects...