Book Image

Designing API-First Enterprise Architectures on Azure

By : Subhajit Chatterjee
Book Image

Designing API-First Enterprise Architectures on Azure

By: Subhajit Chatterjee

Overview of this book

API-centric architectures are foundational to delivering omnichannel experiences for an enterprise. With this book, developers will learn techniques to design loosely coupled, cloud-based, business-tier interfaces that can be consumed by a variety of client applications. Using real-world examples and case studies, the book helps you get to grips with the cloudbased design and implementation of reliable and resilient API-centric solutions. Starting with the evolution of enterprise applications, you'll learn how API-based integration architectures drive digital transformation. You'll then learn about the important principles and practices that apply to cloud-based API architectures and advance to exploring the different architecture styles and their implementation in Azure. This book is written from a practitioner's point of view, so you'll discover ideas and practices that have worked successfully in various customer scenarios. By the end of this book, you'll be able to architect, design, deploy, and monetize your API solutions in the Azure cloud while implementing best practices and industry standards.
Table of Contents (14 chapters)
Section 1: API-Led Architecture in the Digital Economy
Section 2: Build Reliable API-Centric Solutions
Section 3: Deliver Business Value for a Modern Enterprise

Case study elaboration – Packt Insurance Inc.

Let's now work through the case study and see what steps are to be taken by the team at Packt Insurance to achieve quality expectations for the solution. Through discussions with the various stakeholders and business teams at Packt Insurance, the development team captured the following high-level requirements:

  • The solution should be multi-tenant and deployed initially in one Azure region. It should be easy to replicate the deployment in other Azure regions.
  • Deployments to production environments will be fully automated and the cycle time will be 2-3 weeks max.
  • Automated tests must be run on the APIs to check for regression issues before they are released to production.
  • The public endpoints for the APIs must be secured through OAuth.
  • The API platform will not store any encrypted data. The highest classification of data handled by the platform will be Confidential / High Business Impact. The platform...