Building Serverless Microservices in Python

A practical guide for developing end-to-end serverless microservices in Python for developers DevOps and architects.Key FeaturesCreate a secure cost-effective and scalable serverless data APIUse identity management and authentication for a user-specific and secure web applicationGo beyond traditional web hosting to explore the full range of cloud hosting optionsBook DescriptionOver 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.What you will learnDiscover what microservices offer above and beyond other architecturesCreate a serverless application with AWSGain secure access to data and resourcesRun tests on your configuration and codeCreate a highly available serverless microservice data APIBuild deploy and run your serverless configuration and codeWho this book is forIf you are a developer with basic knowledge of Python and want to learn how to build test deploy and secure microservices then this book is for you. No prior knowledge of building microservices is required. 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.