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E-raamat: Hands-on Azure Functions with C#: Build Function as a Service (FaaS) Solutions

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 18-Aug-2021
  • Kirjastus: APress
  • Keel: eng
  • ISBN-13: 9781484271223
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Hands-on Azure Functions with C#: Build Function as a Service (FaaS) SolutionsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 18-Aug-2021
  • Kirjastus: APress
  • Keel: eng
  • ISBN-13: 9781484271223
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Build serverless solutions using Azure Functions. This book provides you with a deep understanding of Azure Functions so you can build highly scalable and reliable serverless applications.

The book starts with an introduction to Azure Functions and demonstrates triggers and bindings with use cases. The process to build an OTP mailer with Queue Storage Trigger and SendGrid output binding is presented, and timer triggers and blob storage binding are covered. Creating custom binding for Azure Functions and building a serverless API using Azure Functions and Azure SQL are discussed. You will know how to build a serverless API using Azure Functions and Azure Cosmos DB, and you will go over enabling application insights and Azure Monitor. Storing function secrets in Azure Key Vault is discussed as well as authentication and authorization using Azure Active Directory. You will learn how to secure your serverless apps using API Management and deploy your Azure Functions using IDEs.

Deploying your Azure Functions using CI/CD pipelines is demonstrated along with running Azure Functions in containers. You will learn how to leverage Azure Cognitive Services to build intelligent serverless apps. And the authors introduce you to Azure Durable functions and teach you how to integrate Azure Functions in the logic app workflow. They also discuss best practices and pitfalls to avoid while designing Azure Functions.

After reading this book, you will be able to design and deploy Azure Functions and implement solutions to real-world business problems through serverless applications. 


What Will You Learn
  • Monitor and secure Azure Functions
  • Build and deploy Azure Functions
  • Enable continuous integration/continuous deployment (CI/CD) DevOps strategies for Azure Functions
  • Run Azure Functions on Azure Kubernetes Cluster

Who This Book Is For

Experienced developers, cloud architects, and tech enthusiasts in Azure


About the Authors xiii
About the Technical Reviewer xv
Acknowledgments xvii
Introduction xix
Chapter 1 Introduction to Azure Functions 1(10)
Structure of the
Chapter
1(1)
Objectives
2(1)
Introduction to Azure Functions
2(1)
Introduction to Serverless
3(1)
Azure WebJobs vs. Azure Functions
4(1)
Advantages and Disadvantages of Azure Functions
5(1)
Hosting Plans for Azure Functions
6(1)
Consumption Plan
7(1)
Premium Plan
7(1)
Dedicated Plan
8(1)
Use Cases for Azure Functions
8(1)
Summary
9(2)
Chapter 2 Build Your First Azure Function 11(30)
Structure of the
Chapter
11(1)
Objectives
12(1)
Create Functions Using the Azure Portal
12(11)
Create Functions Locally Using the Command Line
23(5)
Create Functions Using Visual Studio Code
28(6)
Create Functions Using Visual Studio
34(6)
Summary
40(1)
Chapter 3 What Are Triggers and Bindings? 41(22)
Structure of the
Chapter
41(1)
Objectives
42(1)
Introduction to Triggers and Bindings
42(2)
Supported Triggers and Bindings
44(6)
Trigger and Binding Use Cases
46(1)
Use Case: An Azure function gets triggered when a message arrives in a queue, and the processed message is put into another queue
47(1)
Use Case: A scheduled job picks up images for Blob Storage at a particular time interval and then processes and stores them back in the Blob Storage
48(1)
Use Case: An HTTP call invokes an Azure function to execute some business logic
48(1)
Use Case: An event grid can invoke an Azure function to send an email with event data
49(1)
Use Case: RabbitMQ triggers an Azure function that processes the message sent by RabbitMQ and puts the processed message in Azure Cosmos DB
50(1)
Implement Triggers and Bindings for Azure Functions
50(11)
Summary
61(2)
Chapter 4 OTP Mailer with Queue Storage Trigger and SendGrid Binding 63(28)
Structure of the
Chapter
63(1)
Objectives
64(1)
Getting Started with a Queue Storage Trigger and Use Cases
64(1)
Build a Sample Application Using a Queue Storage Trigger
65(12)
Getting Started with a SendGrid Output Binding and Use Cases
77(1)
Build a Sample Application Using the SendGrid Output Binding
78(10)
Create an OTP Mailer Using a Queue Storage Trigger and SendGrid Output Binding
88(2)
Summary
90(1)
Chapter 5 Build a Report Generator with a Timer Trigger and Blob Storage Bindings 91(34)
Structure of the
Chapter
92(1)
Objectives
92(1)
Getting Started with Timer Triggers and Use Cases
92(2)
Build a Sample Application Using a Timer Trigger
94(12)
Getting Started with Blob Storage Bindings and Use Cases
106(1)
Build a Sample Function Using a Blob Storage Binding
107(5)
Create a Report Generator Using a Blob Storage Binding and Timer Trigger
112(11)
Summary
123(2)
Chapter 6 To-Do API with an HTTP Trigger and a Table Storage Binding 125(22)
Structure of the
Chapter
125(1)
Objectives
126(1)
Getting Started with HTTP Triggers and Use Cases
126(1)
Build a Sample Application Using an HTTP Trigger
127(5)
Routing in HTTP-Triggered Azure Functions
132(3)
Getting Started with Table Storage Bindings and Use Cases
135(1)
Build a Sample Application Using a Table Storage Binding
136(5)
Create a To-Do API with an HTTP Trigger and a Table Storage Binding
141(5)
Summary
146(1)
Chapter 7 Creating Custom Bindings for Azure Functions 147(18)
Structure of the
Chapter
147(1)
Objectives
148(1)
Introduction to Custom Bindings
148(1)
Use Cases for Custom Bindings
148(1)
Build a Custom Binding for Azure Functions
149(15)
Create an Azure Function
151(2)
Implement the Binding Attribute Class
153(4)
Implement the Binding Logic Class
157(2)
Implement the Binding Extension Class
159(1)
Implement the Binding Startup Class
160(1)
Incorporate the Binding in the Azure Function
161(3)
Summary
164(1)
Chapter 8 Building Serverless APIs Using Azure Functions and Azure SQL 165(38)
Structure of the
Chapter
166(1)
Objectives
166(1)
Problem Statement
166(2)
Creating an Azure SQL Database Instance in the Azure Portal
168(5)
Building Serverless APIs for the Proof of Concept
173(21)
Testing the Serverless APIs for the Proof of Concept
194(7)
Summary
201(2)
Chapter 9 Serverless API Using Azure Functions and Azure Cosmos DB 203(30)
Structure of the
Chapter
203(1)
Objectives
204(1)
Introduction to Azure Cosmos DB and Its Use Cases
204(2)
Getting Started with Azure Function Cosmos DB Triggers by Building a Simple Application
206(16)
Build an HTTP-Triggered Azure Function to Perform CRUD Operations on Azure Cosmos DB Using Bindings
222(4)
Leverage the Azure Cosmos DB SDK to Interact with Cosmos DB from Azure Functions
226(5)
Summary
231(2)
Chapter 10 Enabling Application Insights and Azure Monitor 233(30)
Structure of the
Chapter
233(1)
Objectives
234(1)
Enable Logging Using Application Insights
234(10)
Perform Diagnostics for Azure Functions
244(5)
Monitor Azure Functions and Create Alerts
249(10)
Restrict the Number of Scaling Instances for the Azure Function App
259(1)
Summary
260(3)
Chapter 11 Storing Function Secrets in Azure Key Vault 263(26)
Structure of the
Chapter
264(1)
Objective
264(1)
Getting Started with Azure Key Vault
264(1)
Create an Azure Key Vault in the Azure Portal
265(6)
Store Secrets in Key Vault
271(3)
Create an Azure Function in the Azure Portal
274(10)
Add an Access Policy for Azure Key Vault
284(3)
Summary
287(2)
Chapter 12 Authentication and Authorization Using Azure Active Directory 289(26)
Structure of the
Chapter
289(1)
Objectives
290(1)
What Is Azure Active Directory?
290(1)
What Are Authentication and Authorization?
291(1)
Implement Authentication and Authentication for Azure Functions Using Azure Active Directory
292(20)
Summary
312(3)
Chapter 13 Securing Azure Functions with API Management 315(24)
Structure of the
Chapter
315(1)
Objectives
316(1)
What Is the API Management Service?
316(1)
Advantages of Using the API Management Service
316(1)
Integrate API Management with Azure Functions
317(20)
Summary
337(2)
Chapter 14 Deploying Your Azure Functions Using IDEs 339(34)
Structure of the
Chapter
339(1)
Objective
340(1)
Deploy an Azure Function to Azure Using Visual Studio 2019
340(12)
What Are Deployment Slots?
352(1)
Deploy an Azure Function to Deployment Slots
352(10)
Deploy an Azure Function to Azure Using VS Code
362(9)
Summary
371(2)
Chapter 15 Deploying Your Azure Functions Using a Cl/CD Pipeline with Azure DevOps 373(28)
Structure of the
Chapter
374(1)
Objectives
374(1)
What Is Azure DevOps?
374(3)
Create a Project in Azure DevOps
377(1)
Create a Build Pipeline in Azure DevOps and Enable Continuous Integration
378(10)
Create a Release Pipeline in Azure DevOps and Enable Continuous Delivery
388(11)
Summary
399(2)
Chapter 16 Running Azure Functions in Containers 401(20)
Structure of the
Chapter
401(1)
Objectives
402(1)
Getting Started with Containers and AKS
402(2)
What Is Serverless Kubernetes and KEDA in Azure?
404(1)
Containerize Azure Functions and Push Them to the Azure Container Registry
405(7)
Deploy the Containerized Azure Functions in AKS Using KEDA
412(7)
Summary
419(2)
Chapter 17 Adding Cognitive Capabilities to Your Azure Functions 421(28)
Structure of the
Chapter
421(1)
Objective
422(1)
Getting Started with Azure Cognitive Services
422(1)
Getting Started with Azure Text Analytics
423(1)
Create an Azure Text Analytics Resource in the Azure Portal
424(4)
Build a Serverless API to Analyze Feedback Using Sentiment Analysis
428(7)
Test the FeedbackAnalyzer Function Using Postman
435(2)
Build a Language-Based Document Classifier Serverless Solution
437(8)
Test the Language-Based Document Classifier Function
445(3)
Summary
448(1)
Chapter 18 Introduction to Azure Durable Functions 449(20)
Structure of the
Chapter
449(1)
Objectives
450(1)
Getting Started with Azure Durable Functions
450(2)
Benefits of Azure Durable Functions
452(1)
Application Patterns
453(3)
Fan-Out and Fan-In
453(1)
Function Chaining
454(1)
Async HTTP APIs
455(1)
Monitoring
455(1)
Human Interaction
456(1)
Aggregator
456(1)
Implement an Azure Durable Function
456(11)
Summary
467(2)
Chapter 19 Integrating Azure Functions in a Logic Apps Workflow 469(32)
Structure of the
Chapter
470(1)
Objective
470(1)
Getting Started with Azure Logic Apps
470(1)
Create an Azure Logic Apps Solution in the Azure Portal
471(9)
Add Azure Functions in Logic Apps Workflows
480(19)
Summary
499(2)
Chapter 20 Best Practices and Pitfalls to Avoid 501(16)
Structure of the
Chapter
501(1)
Objectives
501(1)
Design Guidelines and Best Practices
502(10)
Decide to Use Functions or Not for Your Scenario
503(1)
Choose the Correct Programing Language
504(1)
Choice of Hosting Plan
505(1)
Pick a Stateful or Stateless Solution
506(1)
Mitigate Delay Startups
507(1)
Get the Correct Bill to Fit Your Budget
508(1)
Handle Long-Running Code
508(1)
Facilitate Integration and Communication Among Other Azure and External Services
509(1)
Identify and Manage the Bottlenecks
509(1)
Make Your Solution Fault Tolerant
510(1)
Secure the APIs Developed Using Azure Functions
511(1)
Facilitate Efficient Monitoring and Debug Failures
511(1)
Incorporate DevOps Practices and Bring in an IaC Approach
511(1)
Bring in a Defensive Programming Approach
512(1)
Pitfalls to Avoid
512(2)
Sharing Functions in a Single Function App Service
513(1)
Processing the Input Data One Piece at a Time
513(1)
Hosting the Production and Development Functions in the Same Function App Service
513(1)
Sharing Storage Accounts Across Function App Services
514(1)
Summary
514(3)
Index 517
Ashirwad Satapathi is working as a software developer with a leading IT firm and has expertise in building scalable applications with .NET Core. He has a deep understanding of building full-stack applications using .NET and Azure PaaS and serverless offerings. He is an active blogger in the C# Corner developer community. He was awarded the C# Corner MVP (September 2020) for his remarkable contributions to the developer community.





Abhishek Mishra is an architect with a leading software multinational company and has deep expertise in designing and building enterprise-grade Intelligent Azure and .NET-based architectures. He is an expert in .NET full stack, Azure (PaaS, IaaS, serverless), Infrastructure as Code, Azure Machine Learning, Intelligent Azure (Azure Bot Services and Cognitive Services), and Robotics Process Automation. He has a rich 15+ years of experience working across top organizations in the industry. He loves blogging and is an active blogger in the C# Corner developer community. He was awarded the C# Corner MVP (December 2018 and 2019) for his contributions to the developer community.
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