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

Modeling performance based on scale requirements

For a software system, performance generally refers to the overall responsiveness of a system when executing an action within a specified time period, while scalability is the ability of the system to handle increased user loads without constraining the resources that may have an impact on the performance of the system.

A system is deemed as scalable if the underlying resources are made available dynamically to support the increase in load. Cloud applications must be designed for scale and the traffic volume is difficult to predict at times. There may be seasonal spikes impacting the scale requirements, especially in a multi-tenant kind of scenario, when the service may serve requests for multiple tenants.

So, it is a good practice to design applications in such a way that they can scale out automatically to meet the peaks in demand. Basically, the system should just scale up or down based on the load. Scalability concerns not...