A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects.

Key Features:

Create 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 options

Book Description:

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.

What you will learn:

Discover 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 code

Who this book is for:

If 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.

Richard Takashi Freeman has an M.Eng. in computer system engineering and a PhD in machine learning and natural language processing from the University of Manchester, United Kingdom. His current role is as a lead data engineer and architect, but he is also a data scientist and solutions architect. He has been delivering cloud-based, big data, machine learning, and data pipeline serverless and scalable solutions for over 14 years, and has spoken at numerous leading academic and industrial conferences, events, and summits. He has written various technical blog posts, and has acquired in excess of three years' serverless production experience in connection with large-scale, consumer-facing websites and products.

Richard Freeman

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