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Azure Serverless Computing Cookbook
Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook: Build applications hosted on serverless architecture using Azure Functions

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Paperback Aug 2017 332 pages 1st Edition
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Azure Serverless Computing Cookbook

Accelerate Your Cloud Application Development Using Azure Function Triggers and Bindings

In this chapter, we will cover the following recipes:

  • Building a backend Web API using HTTP triggers
  • Persisting employee details using Azure Storage table output bindings
  • Saving the profile images to Queues using Queue output bindings
  • Storing the image in Azure Blob storage
  • Cropping an image using ImageResizer trigger

Introduction

Every software application needs backend components that are responsible for taking care of the business logic and storing the data into some kind of storage such as database, filesystem, and so on. Each of these backend components could be developed using different technologies. Azure serverless technology also allows us to develop these backend APIs using Azure Functions.

Azure Functions provide many out-of-the-box templates that solves most of the common problems such as connecting to storage, building Web APIs, cropping the images, and so on. In this chapter, we will learn how to use these built-in templates. Along with learning the concepts related to Azure serverless computing, we will also try to implement a solution to a basic domain problem of creating components required for any organization to manage the internal employee information.

Below is a simple diagram that helps you understand what we will be going to achieve in this chapter:

Building a backend Web API using HTTP triggers

We will use Azure serverless architecture for building a Web API using HTTP triggers. These HTTP triggers could be consumed by any frontend application that is capable of making HTTP calls.

Getting ready

Let's start our journey of understanding Azure serverless computing using Azure Functions by creating a basic backend Web API that responds to HTTP requests:

We will be using C# as the programming language throughout the book.

How to do it…

  1. Navigate to the Function App listing page. Choose the function app in which you would like to add a new function.
  2. Create a new function by clicking on the + icon as shown in the following screenshot:
  1. If you have created a brand new function, then clicking on the + icon in the preceding step, you would see the Get started quickly with a premade function page. Please click on the create your own custom functions link to navigate to the page where you can see all the built-in templates for creating your Azure Functions.
  2. In the Choose a template below or go to the quickstart section, choose HTTPTrigger-CSharp as shown in the following screenshot to create a new HTTP trigger function:
  1. Provide a meaningful name. For this example, I have used RegisterUser as the name of the Azure Function.
  2. In the Authorization level drop-down, choose the Anonymous option as shown in the following screenshot. We will learn more about the all the authorization levels in Chapter 9, Implement Best Practices for Azure Functions:
  1. Once you provide the name and choose the Authorization level, click on Create button to create the HTTP trigger function.
  2. As soon as you create the function, all the required code and configuration files will be created automatically and the run.csx file will be opened for you to edit the code. Remove the default code and replace it with the following code:
        using System.Net;
public static async Task<HttpResponseMessage>
Run(HttpRequestMessage req, TraceWriter log)
{
string firstname=null,lastname = null;
dynamic data = await req.Content.ReadAsAsync<object>();
firstname = firstname ?? data?.firstname;
lastname = data?.lastname;
return (lastname + firstname) == null ?
req.CreateResponse(HttpStatusCode.BadRequest,
"Please pass a name on the query string or in the
request body")
:
req.CreateResponse(HttpStatusCode.OK, "Hello " +
firstname + " " + lastname);
}
  1. Save the changes by clicking on the Save button available just above the code editor.
  2. Let's try to test the RegisterUser function using the Test console. Click on the tab named Test as shown in the following screenshot to open the Test console:
  1. Enter the values for firstname and lastname, in the Request body section as shown in the following screenshot:

Please make sure you select POST in the HTTP method drop-down.

  1. Once you have reviewed the input parameters, click on the Run button available at the bottom of the Test console as shown in the following screenshot:
  1. If the input request workload is passed correctly with all the required parameters, you will see a Status 200 OK, and the output in the Output window will be as shown in the preceding screenshot.

How it works…

We have created the first basic Azure Function using HTTP triggers and made a few modifications to the default code. The code just accepts firstname and lastname parameters and prints the name of the end user with a Hello {firstname} {lastname} message as a response. We have also learnt how to test the HTTP trigger function right from the Azure Management portal.

For the sake of simplicity, I didn't perform validations of the input parameter. Please make sure that you validate all the input parameters in your applications running on your production environment.

See also

  • The Enabling authorization for function apps recipe in Chapter 9, Implement Best Practices for Azure Functions

Persisting employee details using Azure Storage table output bindings

In the previous recipe, you have learnt how to create an HTTP trigger and accept the input parameters. Let's now work on something interesting, that is, where you store the input data into a persistent medium. Azure Functions supports us to store data in many ways. For this example, we will store the data in Azure Table storage.

Getting ready

In this recipe, you will learn how easy it is to integrate an HTTP trigger and the Azure Table storage service using output bindings. The Azure HTTP trigger function receives the data from multiple sources and stores the user profile data in a storage table named tblUserProfile.

How to do it...

  1. Navigate to the Integrate tab of the RegisterUser HTTP trigger function.
  2. Click on the New Output button and select Azure Table Storage then click on the Select button:
  1. Once you click on the Select button in the previous step, you will be prompted to choose the following settings of the Azure Table storage output bindings:
    • Table parameter name: This is the name of the parameter that you will be using in the Run method of the Azure Function. For this example, please provide objUserProfileTable as the value.
    • Table name: A new table in the Azure Table storage will be created to persist the data. If the table doesn't exist already, Azure will automatically create one for you! For this example, please provide tblUserProfile as the table name.
    • Storage account connection: If you don't see the Storage account connection string, click on the new (shown in the following screenshot) to create a new one or to choose an existing storage account.
    • The Azure Table storage output bindings should be as shown in the following screenshot:
  1. Click on Save to save the changes.
  1. Navigate to the code editor by clicking on the function name and paste the following code:
        #r "Microsoft.WindowsAzure.Storage"
using System.Net;
using Microsoft.WindowsAzure.Storage.Table;

public static async Task<HttpResponseMessage>
Run(HttpRequestMessage req,TraceWriter
log,CloudTable objUserProfileTable)
{
dynamic data = await
req.Content.ReadAsAsync<object>();
string firstname= data.firstname;
string lastname=data.lastname;

UserProfile objUserProfile = new UserProfile(firstname,
lastname);
TableOperation objTblOperationInsert =
TableOperation.Insert(objUserProfile);
objUserProfileTable.Execute(objTblOperationInsert);

return req.CreateResponse(HttpStatusCode.OK,
"Thank you for Registering..");
}

public class UserProfile : TableEntity
{
public UserProfile(string lastName, string firstName)
{
this.PartitionKey = "p1";
this.RowKey = Guid.NewGuid().ToString();;
this.FirstName = firstName;
this.LastName = lastName;
}
public UserProfile() { }
public string FirstName { get; set; }
public string LastName { get; set; }
}
  1. Let's execute the function by clicking on the Run button of the Test tab by passing firstname and lastname parameters in the Request body as shown in the following screenshot:
  1. If everything went well, you should get a Status 200 OK message in the Output box as shown in the preceding screenshot. Let's navigate to Azure Storage Explorer and view the table storage to see if the table named tblUserProfile was created successfully:

How it works...

Azure Functions allows us to easily integrate with other Azure services just by adding an output binding to the trigger. For this example, we have integrated the HTTP trigger with the Azure Storage table binding and also configured the Azure Storage account by providing the storage connection string and the Azure Storage table name in which we would like to create a record for each of the HTTP requests received by the HTTP trigger.

We have also added an additional parameter for handling the table storage named objUserProfileTable, of type CloudTable, to the Run method. We can perform all the operations on the Azure Table storage using objUserProfileTable.

For the sake of explanation the input parameters are not validated in the code sample. However, in your production environment, it's important that you should validate them before storing in in any kind of persist medium.

We have also created an object of UserProfile, and filled it with the values received in the request object, and then passed it to a table operation. You can learn more about handling operations on Azure Table storage service from the URL https://docs.microsoft.com/en-us/azure/storage/storage-dotnet-how-to-use-tables.

Understanding more about Storage Connection

When you create a new storage connection (please refer to the third step of the How to do it... section of this recipe) a new App settings will be created as shown in the following screenshot:

You can navigate to the App settings by clicking on Application settings of the Platform features tab as shown in the following screenshot:

What is Azure Table storage service?

Partition key and row key

The primary key of Azure Table storage tables has two parts as follows:

  • Partition key: Azure Table storage records are classified and organized into partitions. Each record located in a partition will have the same partition key (p1 in our example).
  • Row key: A unique value should be assigned for each of the rows.
A clustered index will be created with the values of the partition key and row key to improve the query performance.

There's more...

Following is the very first line of the code in this recipe:

#r "Microsoft.WindowsAzure.Storage"

The preceding line of code instructs the function runtime to include a reference to the specified library to the current context.

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Key benefits

  • •Enhance Azure Functions with continuous deployment using Visual Studio Team Services
  • •Learn to deploy and manage cost-effective and highly available serverless applications using Azure Functions
  • •This recipe-based guide will teach you to build a robust serverless environment

Description

Microsoft provides a solution to easily run small segment of code in the Cloud with Azure Functions. Azure Functions provides solutions for processing data, integrating systems, and building simple APIs and microservices. The book starts with intermediate-level recipes on serverless computing along with some use cases on benefits and key features of Azure Functions. Then, we’ll deep dive into the core aspects of Azure Functions such as the services it provides, how you can develop and write Azure functions, and how to monitor and troubleshoot them. Moving on, you’ll get practical recipes on integrating DevOps with Azure functions, and providing continuous integration and continous deployment with Visual Studio Team Services. It also provides hands-on steps and tutorials based on real-world serverless use cases, to guide you through configuring and setting up your serverless environments with ease. Finally, you’ll see how to manage Azure functions, providing enterprise-level security and compliance to your serverless code architecture. By the end of this book, you will have all the skills required to work with serverless code architecture, providing continuous delivery to your users.

Who is this book for?

If you are a Cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless applications with Azure functions, then this book is for you. Prior knowledge and hands-on experience with core services of Microsoft Azure is required.

What you will learn

  • ?Develop different event-based handlers supported by serverless architecture supported by Microsoft Cloud Platform – Azure
  • ?Integrate Azure Functions with different Azure Services to develop Enterprise-level applications
  • ?Get to know the best practices in organizing and refactoring the code within the Azure functions
  • ?Test, troubleshoot, and monitor the Azure functions to deliver high-quality, reliable, and robust cloud-centric applications
  • ?Automate mundane tasks at various levels right from development to deployment and maintenance
  • ?Learn how to develop statefulserverless applications and also self-healing jobs using DurableFunctions
Estimated delivery fee Deliver to Brazil

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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 17, 2017
Length: 332 pages
Edition : 1st
Language : English
ISBN-13 : 9781788390828
Vendor :
Microsoft
Concepts :
Tools :

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Publication date : Aug 17, 2017
Length: 332 pages
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ISBN-13 : 9781788390828
Vendor :
Microsoft
Concepts :
Tools :

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Table of Contents

10 Chapters
Accelerate Your Cloud Application Development Using Azure Function Triggers and Bindings Chevron down icon Chevron up icon
Working with Notifications Using SendGrid and Twilio Services Chevron down icon Chevron up icon
Seamless Integration of Azure Functions with Other Azure Services Chevron down icon Chevron up icon
Understanding the Integrated Developer Experience of Visual Studio Tools for Azure Functions Chevron down icon Chevron up icon
Exploring Testing Tools for the Validation of Azure Functions Chevron down icon Chevron up icon
Monitoring and Troubleshooting Azure Serverless Services Chevron down icon Chevron up icon
Code Reusability and Refactoring the Code in Azure Functions Chevron down icon Chevron up icon
Developing Reliable and Durable Serverless Applications Using Durable Functions Chevron down icon Chevron up icon
Implement Best Practices for Azure Functions Chevron down icon Chevron up icon
Implement Continuous Integration and Deployment of Azure Functions Using Visual Studio Team Services Chevron down icon Chevron up icon

Customer reviews

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David BB Aug 22, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
We are all challenged with the opportunity to migrate more and more applications and databases to the cloud, but there remain many questions which must be vetted before large scale moves can be successfully completed. This book provides much helpful information in planning, preparation and practical migration. ​
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mogulman Oct 18, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Overall it contains a lot of good information but is very dated even though it is a little over a year old. I'm currently creating a business process app that is very involved. I'm using SQL Server. The internet is littered with bits of information and it is often conflicting. It is nice to see some consolidation. He covers a lot of development using the portal using .csx files. Anyone doing serious development will use Visual Studio. He covers some development in Visual Studio. If he does an update I'd like to see the book focus on Visual Studio development. I'd also like to see development using .NET Core 2.0. I'd like to see using Microsoft Graph, creating small text files and attach them to emails, code sharing in Visual Studio development....
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