Book Image

Learning Azure Functions

By : Mitesh Soni, Manisha Yadav
Book Image

Learning Azure Functions

By: Mitesh Soni, Manisha Yadav

Overview of this book

Functions help you easily run small pieces of code in cloud with Azure functions without worrying about a whole application or the infrastructure to run it. With Azure functions, you can use triggers to execute your code and bindings to simplify the input and output of your code. This book will start with the basics of Azure Functions. You will learn the steps to set up the environment and the tools that we will be using in the further chapters. Once you have a better understanding of this, we will be creating our first hello world function app. Later you will be introduced to triggers, how they are used to activate a function, and how binding can be used to output results of a function.You will also explore the steps to create an assembly with complex functionality that can be used by functions. Next, this book will teach you to scale your functions and use them to process data, integrate systems, and build simple APIs and microservices. Finally, this book will cover some diagnostic techniques with Azure App services and best practices of working with Azure Functions. By the end of this book, you will be well-versed with the techniques of scaling your Azure functions and making the most of serverless architecture.
Table of Contents (17 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Available input and output bindings

Bindings provide a way to connect to data for inputs and to store data for outputs, in simple terms.

Let's discuss input binding first and get familiar with it.

Types of input bindings

There are four types of input bindings:

  • Blob storage: Blob content is used as input to the Azure Function. For example, consider a scenario where we want to create thumbnails for an image whenever a new image is uploaded to the blob storage. In this case, we will create a blob trigger with input bind and blob storage.
  • Storage tables: Storage table content is used as input to the Azure Function. For example, instead of hardcoding configuration data in the Azure Function, store all of the configuration in the storage table and bind with the Azure Function. So when our function runs, it takes all the input from the storage table.
  • SQL tables: SQL table data can also be used as input for the Azure Function. For example, consider a scenario where we want to check the quantity of a product...