Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram, Marston

Buy this Book

Azure Serverless Computing Cookbook

By: Praveen Kumar Sreeram, Marston

Buy this Book

Overview of this book

Microsoft provides a solution for easily running small segments of code in the cloud with Azure Functions. The second edition of Azure Serverless Computing Cookbook starts with intermediate-level recipes on serverless computing along with some use cases demonstrating the benefits and key features of Azure Functions. You’ll explore 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. As you make your way through the chapters, you’ll get practical recipes on integrating DevOps with Azure Functions, and providing continuous integration and continuous deployment with Azure DevOps. This book also provides hands-on, step-by-step tutorials based on real-world serverless use cases to guide you through configuring and setting up your serverless environments with ease. You will also learn how to build solutions for complex, real-world, workflow-based scenarios quickly and with minimal code using Durable Functions. In the concluding chapters, you will ensure enterprise-level security within your serverless environment. The most common tips and tricks that you need to be aware of when working with Azure Functions on production environments will also be covered in this book. By the end of this book, you will have all the skills required for working with serverless code architecture, providing continuous delivery to your users.

Preface

Who this book is for

What this book covers

To get the most out of this book

Sections

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Free Chapter

Developing Cloud Applications Using Function Triggers and Bindings

Introduction

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

Working with Notifications Using the SendGrid and Twilio Services

Introduction

Sending an email notification to the administrator of a website using the SendGrid service

Sending an email notification dynamically to the end user

Implementing email logging in Azure Blob Storage

Modifying the email content to include an attachment

Sending an SMS notification to the end user using the Twilio service

Seamless Integration of Azure Functions with Azure Services

Introduction

Using Cognitive Services to locate faces in images

Azure SQL Database interactions using Azure Functions

Monitoring tweets using Logic Apps and notifying users when a popular user tweets

Integrating Logic Apps with serverless functions

Auditing Cosmos DB data using change feed triggers

Understanding the Integrated Developer Experience of Visual Studio Tools

Introduction

Creating a function app using Visual Studio 2017

Debugging C# Azure Functions on a local staged environment using Visual Studio 2017

Connecting to the Azure Storage cloud from the local Visual Studio environment

Deploying the Azure Function app to Azure Cloud using Visual Studio

Debugging a live C# Azure Function, hosted on the Microsoft Azure Cloud environment, using Visual Studio

Deploying Azure Functions in a container

Exploring Testing Tools for the Validation of Azure Functions

Introduction

Testing Azure Functions

Testing an Azure Function on a staged environment using deployment slots

Load testing Azure Functions using Azure DevOps

Creating and testing Azure Functions locally using the Azure CLI tools

Testing and validating Azure Function responsiveness using Application Insights

Developing unit tests for Azure Functions with HTTP triggers

Monitoring and Troubleshooting Azure Serverless Services

Introduction

Troubleshooting your Azure Functions

Integrating Azure Functions with Application Insights

Monitoring your Azure Functions

Pushing custom telemetry details to Application Insights Analytics

Sending application telemetry details via email

Integrating real-time Application Insights monitoring data with Power BI using Azure Functions

Developing Reliable Serverless Applications Using Durable Functions

Introduction

Configuring Durable Functions in the Azure Management portal

Creating a Durable Function hello world app

Testing and troubleshooting Durable Functions

Implementing multithreaded reliable applications using Durable Functions

Bulk Import of Data Using Azure Durable Functions and Cosmos DB

Introduction

Uploading employee data into Blob Storage

Creating a Blob trigger

Creating the Durable Orchestrator and triggering it for each Excel import

Reading Excel data using activity functions

Auto-scaling Cosmos DB throughput

Bulk inserting data into Cosmos DB

Implementing Best Practices for Azure Functions

Adding multiple messages to a queue using the IAsyncCollector function

Implementing defensive applications using Azure Functions and queue triggers

Handling massive ingress using Event Hubs for IoT and other similar scenarios

Avoiding cold starts by warming the app at regular intervals

Enabling authorization for function apps

Controlling access to Azure Functions using function keys

Securing Azure Functions using Azure Active Directory

Configuring the throttling of Azure Functions using API Management

Securely accessing SQL Database from Azure Functions using Managed Service Identity

Shared code across Azure Functions using class libraries

Using strongly typed classes in Azure Functions

Configuring of Serverless Applications in the Production Environment

Introduction

Deploying Azure Functions using Run From Package

Deploying Azure Function using ARM templates

Configuring custom domains to Azure Functions

Techniques to access Application Settings

Creating and generating open API specifications using Swagger

Breaking down large APIs into small subsets of APIs using proxies

Moving configuration items from one environment to another using resources

Implementing and Deploying Continuous Integration Using Azure DevOps

Introduction

Continuous integration – creating a build definition

Continuous integration – queuing a build and triggering it manually

Configuring and triggering an automated build

Continuous integration – executing unit test cases in the pipeline

Creating a release definition

Triggering the release automatically

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Pushing custom telemetry details to Application Insights Analytics

You have been asked by your customers to provide analytic reports for a derived metric within Application Insights. So, what is a derived metric? Well, by default, Application Insights provides you with many insights into metrics such as requests, errors, exceptions, and so on.

You can run queries on the information that Application Insights provides using its Analytics query language.

In this context, requests per hour is a derived metric, and if you would like to build a new report within Application Insights, then you will need to feed Application Insights about the new derived metric on a regular basis. Once you start feeding the required data regularly, Application Insights will take care of providing reports for your analysis.

We will be using Azure Functions that feed Application Insights with a derived...