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)

The workflow expression language and content types

With Logic Apps, you can work with multiple content types, such as JSON, XML, Base64, and more. Logic Apps has built-in functions that are used within workflow expressions for conversion, transformation, and translation. For example, you can convert strings such as JSON and XML to @json() and @xml() workflow function expressions.

The following table displays the various content types along with casting types. You can also combine these content type functions to translate messages in your desired format:

Function

Cast operations

json()

Translates data to application/JSON

xml()

Translates data to application/XML

binary()

Translates data to application/octet-stream

string()

Translates data to text/plain

decodeDataUri()

Decodes a dataUri into a byte array

base64toString()

Converts a Base64...