Book Image

Serverless Integration Design Patterns with Azure

By : Abhishek Kumar, Srinivasa Mahendrakar
Book Image

Serverless Integration Design Patterns with Azure

By: Abhishek Kumar, Srinivasa Mahendrakar

Overview of this book

With more enterprises adapting cloud-based and API-based solutions, application integration has become more relevant and significant than ever before. Parallelly, Serverless Integration has gained popularity, as it helps agile organizations to build integration solutions quickly without having to worry about infrastructure costs. With Microsoft Azure’s serverless offerings, such as Logic Apps, Azure Functions, API Management, Azure Event Grid and Service Bus, organizations can build powerful, secure, and scalable integration solutions with ease. The primary objective of this book is to help you to understand various serverless offerings included within Azure Integration Services, taking you through the basics and industry practices and patterns. This book starts by explaining the concepts of services such as Azure Functions, Logic Apps, and Service Bus with hands-on examples and use cases. After getting to grips with the basics, you will be introduced to API Management and building B2B solutions using Logic Apps Enterprise Integration Pack. This book will help readers to understand building hybrid integration solutions and touches upon Microsoft Cognitive Services and leveraging them in modern integration solutions. Industry practices and patterns are brought to light at appropriate opportunities while explaining various concepts.
Table of Contents (15 chapters)

Azure API Management and DevOps with Git version control

In this section, we will focus on Azure API Management and how we can leverage DevOps capabilities to build a continuous release pipeline for API Management. We will work with an ARM template to create and update an API Management instance and demonstrate how we can leverage an ARM template to define products, APIs, and policies within an Azure API Management instance.

We will extend our DevOps solution and add new project for Azure API Management. The project will consist of an ARM definition file and a parameter file, which is used to deploy resources across multiple environments:

  1. In the ARM definition file, the first step is to define a resource for API Management with a resource type such as Microsoft.ApiManagement/service:
{
"apiVersion": "2017-03-01",
"name": "[parameters(&apos...