Synopsis
Microservice APIs in Python shares successful strategies and techniques for designing Microservices systems, with a particular emphasis on creating easy-to-consume APIs.
This practical guide focuses on implementation over philosophizing and has just enough theory to get you started. You'll quickly go hands on designing the architecture for a microservices platform, produce standard specifications for REST and GraphQL APIs, and bake in authentication features to keep your APIs secure. Written in a framework-agnostic manner, its universal principles of API and microservices design can easily be applied to your favorite stack and toolset.
About the Technology
Standard Python web applications, such as those you'd typically build with Django or Flask, can be hard to scale and maintain when built as monoliths. Microservices design makes it possible to isolate key features and functionality as independently written and maintained services. To take advantage of this more resilient architecture, you need to learn the patterns, frameworks, and tools that make Python-based microservices easy to build and manage.
"synopsis" may belong to another edition of this title.
About the Author
José Antonio Haro Peralta is a full-stack software consultant specializing in Python and DevOps. He has worked in different industries, including IoT, financial services and retail, helping clients tackle varied problems including migrating legacy code to Python, migrating on-premise software to the Cloud, and migrating monoliths to microservices architectures.
From the Back Cover
Microservice APIs in Python shares successful strategies and techniques for designing Microservices systems, with a particular emphasis on creating easy-to-consume APIs. You'll benefit from author Jose Haro Peralta's years of experience experimenting with microservices architecture, dodging pitfalls and learning from mistakes he's made.
This practical guide focuses on implementation over philosophizing and has just enough theory to get you started. You'll quickly go hands on designing the architecture for a microservices platform, produce standard specifications for REST and GraphQL APIs, and bake in authentication features to keep your APIs secure. Written in a framework-agnostic manner, its universal principles of API and microservices design can easily be applied to your favorite stack and toolset.
"About this title" may belong to another edition of this title.
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Paperback. Condition: New. Microservice APIs in Python shares successful strategies and techniques for designing Microservices systems, with a particular emphasis on creating easy-to-consume APIs.This practical guide focuses on implementation over philosophizing and has just enough theory to get you started. You'll quickly go hands on designing the architecture for a microservices platform, produce standard specifications for REST and GraphQL APIs, and bake in authentication features to keep your APIs secure. Written in a framework-agnostic manner, its universal principles of API and microservices design can easily be applied to your favorite stack and toolset. About the TechnologyStandard Python web applications, such as those you'd typically build with Django or Flask, can be hard to scale and maintain when built as monoliths. Microservices design makes it possible to isolate key features and functionality as independently written and maintained services. To take advantage of this more resilient architecture, you need to learn the patterns, frameworks, and tools that make Python-based microservices easy to build and manage. Seller Inventory # LU-9781617298417
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Paperback. Condition: new. Paperback. Microservice APIs in Python shares successful strategies and techniques for designing Microservices systems, with a particular emphasis on creating easy-to-consume APIs.This practical guide focuses on implementation over philosophizing and has just enough theory to get you started. You'll quickly go hands on designing the architecture for a microservices platform, produce standard specifications for REST and GraphQL APIs, and bake in authentication features to keep your APIs secure. Written in a framework-agnostic manner, its universal principles of API and microservices design can easily be applied to your favorite stack and toolset. About the TechnologyStandard Python web applications, such as those you'd typically build with Django or Flask, can be hard to scale and maintain when built as monoliths. Microservices design makes it possible to isolate key features and functionality as independently written and maintained services. To take advantage of this more resilient architecture, you need to learn the patterns, frameworks, and tools that make Python-based microservices easy to build and manage. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781617298417