Use Python microservices to craft applications that are built as small standard units using proven best practices and avoiding common errors
Key Features:
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:
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Simon Fraser works as a Lead Site Reliability Engineer at Cisco Meraki. Previously, he worked at Mozilla as a Senior Release Engineer and Systems Administrator in a high-performance computing environment, which is where he started using Python to automate systems administration tasks. He has more than 20 years of experience in writing software tools, automating and deploying large-scale systems, and using data to drive the flow of work.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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