Book Image

Building Serverless Microservices in Python

By : Richard Takashi Freeman
Book Image

Building Serverless Microservices in Python

By: Richard Takashi Freeman

Overview of this book

Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity. Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices. By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning.
Table of Contents (13 chapters)
Title Page
Dedication

About the author

Richard Takashi Freeman has an M.Eng. in computer systems engineering and a Ph.D. in machine learning and natural language processing from the University of Manchester, UK. He is currently a lead big data and machine learning engineer at JustGiving; and a cloud architect, serverless computing, and machine learning freelance SME and consultant at Starwolf. He previously worked at PageGroup and Capgemini, and has been delivering cloud-based, big data, machine learning, serverless, and scalable solutions for over 14 years across different sectors.

He is a blogger; a speaker, presenting at various events; and the author of two video courses. You can visit his website, titled Richard Freeman, PhD, for his blog posts, presentations, and courses.

 

I would like to thank Ivailo Zhelev at JustGiving for co-creating KOALA with me. It is a fully serverless AWS stack to capture, analyze, and serve web analytics data in near real time.

Thanks to Ivo, Tom, Sian, Ben, Steve, Mike B, Antonios, Olly , Leo, Paul O, Mike U, Simon, Liz, Paul F, Richard B, Alkesh, Isaac, Ted in my data science and analytics team for their incredible contributions over the years.

Finally, I would like to acknowledge and thank the JustGiving data science projects named after animals: PANDA, RAVEN, KOALA, MAGPIE, KINGFISHER, and STORK.