Python Microservices Development

Python Microservices Development: Build efficient and lightweight microservices using the Python tooling ecosystem, 2nd Edition

Use Python microservices to craft applications that are built as small standard units using proven best practices and avoiding common errors.

Key Features

  • Become well versed with the fundamentals of building, designing, testing, and deploying Python microservices
  • Identify where a monolithic application can be split, how to secure it, and how to scale it once ready for deployment
  • Use the latest framework based on asynchronous programming to write effective microservices with Python

Book Description

The small scope and self-contained nature of microservices make them faster, cleaner, and more scalable than code-heavy monolithic applications. However, building microservices architecture that is efficient as well as lightweight into your applications can be challenging due to the complexity of all the interacting pieces.

Python Microservices Development, Second Edition will teach you how to overcome these issues and craft applications that are built as small standard units using proven best practices and avoiding common pitfalls. Through hands-on examples, this book will help you to build efficient microservices using Quart, SQLAlchemy, and other modern Python tools

In this updated edition, you will learn how to secure connections between services and how to script Nginx using Lua to build web application firewall features such as rate limiting. Python Microservices Development, Second Edition describes how to use containers and AWS to deploy your services. By the end of the book, you’ll have created a complete Python application based on microservices.

What you will learn

  • Explore what microservices are and how to design them
  • Configure and package your code according to modern best practices
  • Identify a component of a larger service that can be turned into a microservice
  • Handle more incoming requests, more effectively
  • Protect your application with a proxy or firewall
  • Use Kubernetes and containers to deploy a microservice
  • Make changes to an API provided by a microservice safely and keep things working
  • Identify the factors to look for to get started with an unfamiliar cloud provider

Who this book is for

This book is for developers who want to learn how to build, test, scale, and manage Python microservices. Readers will require basic knowledge of the Python programming language, the command line, and HTTP-based application principles. No prior experience of writing microservices in Python is assumed.

What this book covers

Chapter 1, Understanding Microservices, introduces the concepts behind microservices, the differences between monolithic applications and microservices, common benefits and pitfalls, as well as testing and scaling.

Chapter 2, Discovering Quart, covers the Quart web framework and the ways in which it can respond to requests, create templated documents, act as middleware, handle errors, and read configuration.

Chapter 3, Coding, Testing, and Documentation: the Virtuous Cycle, teaches you about the different types of testing that are possible, what benefits each type has, and how to set up automatic testing, as well as generating documentation in CI pipelines.

Chapter 4, Designing Jeeves, looks at Jeeves, which is the sample application we use in this book to explain the various concepts behind microservices. We introduce what we need Jeeves to do and describe a monolithic approach to application design, covering the web API interface, database use, and worker pools.

Chapter 5, Splitting the Monolith, builds on the monolithic Jeeves described in previous chapter. This chapter offers guidance on how to identify components that may be good microservices, measuring the effects of changes on the software architecture, and how to cleanly migrate features to new microservices.

Chapter 6, Interacting with Other Services, explains how to make web requests to other services, how to configure and decide where to send those queries, and how to cache results, as well as make the data transfer more efficient.

Chapter 7, Securing Your Services, looks at how authentication, tokens, encryption, and security vulnerabilities are all essential topics to consider for any service, and here we build an authentication microservice for Jeeves, as well as discuss various things to consider when making an application secure against attack.

Chapter 8, Making a Dashboard, discusses how many applications will have a human view. In this chapter we add a dashboard to Jeeves so that it can be controlled using a ReactJS application, as well as discussing where best to add the front-end into the microservice architecture.

Chapter 9, Packaging and Running Python, shows how, once created, an application needs to be packaged so that it can be deployed and run. In this chapter, we will learn about creating and publishing Python packages, as well as managing dependencies.

Chapter 10, Deploying on AWS, looks at how cloud services provide a flexible platform to run a web service. This chapter covers creating containers for our application and deploying it in Amazon Web Services.

Chapter 11, What’s Next?, summarizes the main things we have learned so far, and the topics that would make good further reading, as well as technologies that will prove useful for different types of application.

Download the example code files

The code bundle for the book is hosted on GitHub at https://github.com/PacktPublishing/Python-Microservices-Development-2nd-Edition. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://static.packt-cdn.com/downloads/9781801076302_ColorImages.pdf.

More about the authors

Simon Fraser, Simon Fraser is a Site Reliability Engineer for Cisco Meraki. He has over twenty years of experience in computing, both developing and running systems. He has worked as a Systems Administrator for an internet service provider; an infrastructure and high-performance computing engineer at the Welcome Sanger Institute, and as a Firefox Release Engineer at Mozilla. He studied Cybernetics and Computer Science at the University of Reading and has also taught academic courses in programming for scientists.

Tarek Ziadé, Tarek Ziadé is a Software Engineer, located in Burgundy, France. He works at Elastic, building tools for developers. Before Elastic, he worked at Mozilla for 10 years, and he founded a French Python user group, called AFPy. Tarek has also written several articles about Python for various magazines, and a few books in French and English.

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