Name: Building Serverless Apps with Azure Functions and Cosmos DB
Price: 19.95 USD
ISBN: 9789389328387

BPB Online LLP

Hansamali Gamage

Building Serverless Apps with Azure Functions and Cosmos DB

US$ 19.95

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Description

Contents

Reviews

Build Azure functions and integrate them with Azure Cosmos DB data models

Key Features
Expert-led coverage on integrating Azure functions
Industry-proven examples and best practices on implementation of Azure Cosmos DB
Learn to work on performance optimization and error handling
Integration of Azure function with other Azure services

Description
This book provides examples to start with Azure functions and Azure Cosmos DB. It demonstrates the features available in both of the mentioned Azure services and discusses them in detail with some real-world examples. Reading a csv file and write to a Cosmos DB table store, Read emails using Microsoft Graph API and save them in a Cosmos DB, Cosmos DB trigger function to send SMS notifications to clients, A queue trigger to create new nodes in the Cosmos DB graph data store are some of them. You will be able to see the above case studies with code samples implemented in C# .NET Core, TypeScript, and Python. It consists of a very basic example, two intermediate samples, then and an advanced level one.

You will experience the triggers and input/output bindings available for a function, like queue trigger, blob trigger, and Cosmos DB trigger to name a few. Also, you will be able to see some interesting features available in Azure functions like performance optimizations, scalability of a function app, geographical distribution of the function in different locations, error handling, writing unit tests for the functions to avoid breaking changes, how to ensure a function app is secure, and then how to deploy a function, and monitor and troubleshoot a function app.

At the end of this book, you will gain strong experience in using Azure functions and how to manage serverless applications seamlessly without any failure with utmost performance.

What you will learn
You will be able to create an Azure function and integrate it with many Azure services including the Azure Cosmos DB
You will get experience implementing a function using programming languages like C# .NET Core, TypeScript, and Python.
You will get hands-on experience on the performance optimizing of a function, how to scale them, how to apply security to the function app, error handling and testing in a function.

Who this book is for
This book is for developers who want to get the knowledge and experience in Azure Functions and Azure Cosmos DB. If you have a programming knowledge of .NET, TypeScript, Python, or any other programming language, it will be enough to understand the concepts and samples in this book. If you have worked with a cloud technology or have experience in any of the Azure cloud services, then it will be a definite advantage..

Table of Contents
1. Beginning Azure Function Apps
2. Your First Azure Function App
3. Let’s Get Started with Cosmos DB
4. Structure Your Data in Cosmos DB
5. Your First Cosmos DB
6. Serverless Design Patterns
7. Performance and Scalability of a Function App
8. Geo-Distribution in a Function App
9. Error Handling and Testing
10. Secure Your Function App
11. Deployments in a Function App
12. Monitor and Troubleshoot Function Apps
13. Azure Functions with Cosmos DB Table API
14. Azure Functions with Cosmos DB SQL API
15. Cosmos DB Trigger in Azure Function
16. Azure Functions with Cosmos DB Gremlin API

About the Author
Hansamali Gamage is an enthusiastic and dedicated professional with over eight years of experience in .NET stack, Azure, and front-end technologies. She has also been an MVP (Azure) for three consecutive years and is a Microsoft Certified Trainer. She is a frequent speaker at tech conferences and an award-winning writer on the Microsoft Tech Net forum.

Blog links: http://hansamaligamage.blogspot.com/
LinkedIn Profile: https://www.linkedin.com/in/hansamali-gamage-37777a50/

Language

English

ISBN

9789389328387

Cover Page

Title Page

Dedication Page

About the Author

About the Reviewer

Preface

Errata

Table of Contents

1. Beginning Azure Function Apps

Introduction

Prerequisites

Structure

Objective

Azure serverless architecture

What is Azure serverless architecture?

Why serverless architecture

Real-world case studies of serverless applications

A single-page web application

Web application backend

Mobile application backend

IoT backend

Real-time file processing

Real-time stream processing

Automating tasks

SaaS integration

Azure Serverless platform

Azure functions

Logic Apps

Event Grid

Before it is serverless

Applications in on-prem

IaaS

PaaS

Serverless applications

First steps with Azure function

What is an Azure function?

Features of Azure functions

Function development is easy

You have a variety of languages to select from

Set up continuous integration and deployment

You can develop your functions from a Linux environment

Pay for what you use

Use your dependencies

Integrate with other Azure services

Integrate functions with third-party services

Security for your functions

Open source function runtime

Service integrations

Azure Cosmos DB

Azure Event Hub

Azure Event Grid

Azure Notification Hub

Azure Service Bus

Azure Storage

Azure Logic Apps

Azure SignalR

Microsoft Graph

Power BI

Twilio API

SendGrid API

Language support for functions

JavaScript

Java

Python

TypeScript

PHP

Batch

Bash

PowerShell

Triggers and Bindings

Triggers

Bindings

Type of applications using Azure functions

Serverless web applications

Serverless mobile backend

Timer-based processing

Real-time file processing

Real-time stream processing

Real-time bot processing

Pricing in Azure functions

Consumption plan

Function scaling in consumption plan

Billing in consumption plan

App service plan

Function scaling in app service plan

Billing in app service plan

When to use app service plan

Conclusion

Questions

2. Your First Azure Function App

Introduction

Prerequisites

Structure

Objective

Function in the portal

Http trigger

What is an Http trigger?

Http trigger runtime

Supported languages

Http trigger attributes and configurations

Creating our first function in the Azure portal

Blob trigger

What is a blob trigger?

Blob trigger runtime

Supported languages

Blob trigger attributes and configurations

Creating a blob trigger from the Azure portal

A function from an IDE

Timer trigger in Visual Studio

What is a timer trigger?

Timer trigger runtime

Supported languages

Timer trigger attributes and configurations

Creating a timer trigger in Visual Studio

Deploying timer trigger to Azure

Queue trigger in Visual Studio Code

What is a queue trigger?

Queue Trigger runtime

Supported languages

Queue trigger attributes and configurations

Creating a queue trigger in Visual Studio Code

Deploy queue trigger to Azure

Source Codes

Conclusion

Questions

3. Let’s Get Started with Cosmos DB

Prerequisites

Structure

Objective

Azure Cosmos DB

NoSQL databases

Distributed

Scalable

Open-source

Schema free

Easy replication support

Simple API

Support for a vast amount of data

No conversion from database schema to view models

Why NoSQL databases

Improves programmer productivity

Improves performance in reads

Open-source

ACID transactions

Polyglot persistence

Scalable

Sharding

Myths in NoSQL databases

NoSQL can replace SQL

NoSQL is better or worse than SQL

Language or framework determines the database

NoSQL is not secure

NoSQL is not reliable

NoSQL is not scalable

NoSQL is not usable

NoSQL is not ready for severe applications

When to select NoSQL databases

Cosmos DB: multi-model and API support

Cosmos DB - Multiple model databases

Documents

Key-value pairs

Column family

Graph databases

Cosmos DB - multi API support

SQL API

Mongo API

Cassandra API

Table API

Gremlin API

Features in Cosmos DB

Data partitioning and global distribution

Scale throughout and storage

Service Level Agreements

Cosmos DB consistency levels

Data consistency and availability

Data consistency and response time

Database schema and index management

Hash index

Range index

Request units and pricing

Running queries on Cosmos DB

Conclusion

Questions

4. Structure Your Data in Cosmos DB

Introduction

Prerequisites

Structure

Objective

Structuring documents

Are you non-relational?

Creating documents

Modeling data in a relational database

Modeling data in a document database

Creating a Cosmos DB account

Relationships - embed versus reference

Embed relationship

Reference relationship

Scaling the Cosmos DB

Settings in Cosmos DB collection

Conflict resolution

Partition key

Database schema and indexing

Stored procedures, UDF, and Triggers in Cosmos DB

Stored procedure

User-defined function

Triggers

Querying Cosmos DB

Select all the products in the catalog

Select a specific product from id

Select a specific product from the price

Select products from stock location

Select all the invoices belonging to a specific product

Conclusion

Questions

5. Your First Cosmos DB

Introduction

Prerequisites

Structure

Objective

A document DB from SQL API

Migrating an on-prem MongoDB to Cosmos MongoDB

Create Cosmos DB account

Migrate a MongoDB to a Cosmos DB

Create database migration service in Azure

Create database migration project in Azure

A table API app with Cosmos DB

Create Cosmos DB account

Add table to a database

Add entities to a table

Querying on a table

Read data by passing partition key - get all the long sleeves men’s shirts

Read data by passing partition key and row key - get all the long sleeves, large size men’s shirts

Read data by passing partition key and another column - get all the long sleeves and white color men’s shirts

Read data by passing a column - get all the shirts for price 15 USD

Read-only selected columns - get long sleeves, white color men’s shirts price, and available sizes

Read data with operators - get shirts price more significant than 15 USD or color white

Read boolean values - get shirts available in the stock and red color

Scaling Cosmos DB tables

Why Azure Cosmos DB Table API

Global distribution

High availability

Dedicated throughput in all the Azure regions

Different levels of SLAs

Single-digit millisecond latency

Indexing on all properties

Fast data retrieval

Five different levels of data consistency

Pricing based on the throughput

99.99% of read-write availability

A graph database using Gremlin API

Create Cosmos DB account

Create a database in the Cosmos DB account

Create a graph in the database

Querying the graph database

Simple queries on graph database

Traversals on graph database

Update queries on graph

Delete queries on graph

Run an SQL query on the graph

Scaling graph databases

Conclusion

Questions

6. Serverless Design Patterns

Introduction

Prerequisites

Structure

Objective

Durable functions

What is a durable function?

When should we use durable functions?

Durable function - Supported languages

Durable function - Pricing

Durable functions and Logic Apps

Logic Apps

Durable functions versus Logic Apps

Durable function types

Activity functions

Orchestrator functions

Entity functions

Client functions

Durable function patterns

Real-world example - Durable function

Create a durable function

Change the durable function

Publish to Azure

Function chaining

What is function chaining?

Real-world example - Function chaining

Apply function chaining pattern

Publish to Azure

Fan-out/Fan-in

What is fan-out/fan-in?

Real-world example - Fan-out/Fan-in

Apply Fan-out/Fan-in pattern

Test the function in Azure

Async function calls

What is Async function calls?

Real-world example - Async function calls

Apply async Http API pattern

Test the function in the cloud

Human interaction in a function app

How to manage human interaction in a function

Real-world example - Human interaction

Get human input to an Azure function

Publish the function to cloud

Aggregator

What is an aggregator function?

Real-world example - Aggregator

Implement the aggregator pattern with entity function

Publish the function to cloud

Source Codes

Conclusion

Questions

7. Performance and Scalability of a Function App

Introduction

Prerequisites

Structure

Objective

Optimize performance in a function app

Avoid long-running functions

Manage cross-functional communication wisely

Use durable functions to create a stateful environment

Implement defensive functions

Avoid function cold start

Authorize your function app

Secure functions using Azure Active Directory

Share the code across functions using class libraries

Strongly typed classes in functions

Share and manage external connections

Separate test and production code

Don’t use verbose logging in production

Receive messages in batches

Scaling in a function

Hosting plans

App service plan

Consumption plan

Premium plan

Storage account

Conclusion

Questions

8. Geo-Distribution in a Function App

Introduction

Prerequisites

Structure

Objective

High availability in function apps

Achieving high availability in a function app

Active/Active function deployment

Active/Passive function deployment

Achieving high availability in storage

Sharing the central region storage in both function apps

Using regional storage for each function app

Use geo-redundant storage in both function apps

Disaster recovery options for bindings

Azure SQL database

Azure Cosmos DB

Azure storage

Conclusion

Questions

9. Error Handling and Testing

Introduction

Prerequisites

Structure

Objective

Error handling in an Azure function

Write logs

Log levels

Log extension methods

Structured error handling

Error codes

Enable application insights

Design the functions for exact inputs

Write retry policies

Error handling in durable functions

Structured error handling

Retry policies

Durable timer

Unhandled exceptions

Writing unit tests in a function

Function unit tests

Unit tests in C#

xUnit

Create an http trigger function in c#

Create a xUnit test project

Run tests in Visual Studio

Unit tests in JavaScript

Jest

Create an http trigger function in JavaScript

Create test methods

Run tests in Visual Studio Code

Source codes

Conclusion

Questions

10. Secure Your Function App

Introduction

Prerequisites

Structure

Objective

Authenticate using Azure Active Directory

Create a function app

Create a new Azure Active Directory

Configure the Azure Active Directory

Attach Azure Active Directory in the function app

Authenticate using Google

Create a Google API application

Attach Google authentication in the function app

Function App IP restrictions

Manage secrets with Azure Key Vault

Create a Key Vault

Manage secrets in Key Vault

View the secret stored in Key Vault

Conclusion

Questions

11. Deployments in a Function App

Introduction

Prerequisites

Structure

Objective

Deploying to Azure

Deploying your function using Azure CLI

Continuous deployment to Azure function

Configure CI/CD pipeline in the function app

Test the CI/CD workflow

Source codes

Conclusion

Questions

12. Monitor and Troubleshoot Function Apps

Introduction

Prerequisites

Structure

Objective

Monitor a function app

Real-time application logs

Diagnostics in a function app

Diagnose and solve the problems

Explore Application Insights

Enable Application Insights to an existing function app

View telemetry data in the monitor tab

Query telemetry data

View telemetry data in Application Insights

Live metric stream in Application Insights

Benefits of Azure Application Insights

Conclusion

Questions

13. Azure Functions with Cosmos DB Table API

Introduction

Prerequisites

Structure

Objective

Case study - Process an excel file using Azure function and store data in table storage in Cosmos DB Table API

The structure of the CSV file

Run the solution

Your first .NET Core 3 function in Cosmos DB Table API

Read the CSV file

Create table in Cosmos DB

Create a row in Cosmos DB Table API

Retrieve data from keys in Cosmos DB Table API

Settings file

Your first function using Typescript on Cosmos DB Table API

Create a table service in Cosmos DB account

Create a table in Cosmos DB account

Store course data

Read the CSV file

Create a row in Cosmos DB Table API

Retrieve data from keys in Cosmos DB Table API

Settings file

Required packages

Your first function using Python in Cosmos DB Table API

Create a table service in Cosmos DB account

Create a table in Cosmos DB account

Courses class to store data

Read the CSV file

Create a row in Cosmos DB Table API

Configurations in the code

Requirements to build the solution

Source codes

Conclusion

Questions

14. Azure Functions with Cosmos DB SQL API

Introduction

Prerequisites

Structure

Objective

Case study - Process outlook emails using Graph API and store them in a Cosmos DB (SQL API) using an HTTP trigger function

Run the solution

.NET Core 3 function in Cosmos DB SQL API

Explore MS Graph subscription API

What is Microsoft Graph API?

What is Subscription API?

Read emails using MS Graph API

Retrieve the email notification

Process email notification by calling mail API

Create a Cosmos DB client

Create a database

Create a container

Create items

Settings file

Required packages

TypeScript function on Cosmos DB SQL API

Retrieve the emails from Graph API

Save emails to Cosmos DB

Settings file

Required packages

Your first function using Python in Cosmos DB SQL API

Read emails from Graph API

Create a Cosmos DB client

Find databases in the Cosmos account

Create a database in the Cosmos account

Create a container in the Cosmos DB

Create documents in the Cosmos DB

Configurations file

Required packages

Source codes

Conclusion

Questions

15. Cosmos DB Trigger in Azure Function

Introduction

Prerequisites

Structure

Objective

Case study - Cosmos DB trigger to track document changes in the database

Run the solution

Cosmos DB trigger written in .NET Core

Cosmos DB trigger to track document changes

Send SMS notifications using an SMS API

Settings file

Required packages

Cosmos DB trigger written in TypeScript

Cosmos DB trigger to track document changes

Send SMS notifications using a SMS API

Settings file

Input/Output function bindings

Required packages

Cosmos DB trigger written in Python

Cosmos DB trigger to track document changes

Send SMS notifications using an SMS API

Configurations in the code file

Requirements to build the solution

Source codes

Conclusion

Questions

16. Azure Functions with Cosmos DB Gremlin API

Introduction

Prerequisites

Structure

Objective

Case study - Create a social network and relationships using Gremlin API on Cosmos DB and Azure function

Run the solution

Host your first graph data structure in Cosmos DB and process it using Azure function

Queue trigger to track new items

Create graph nodes

Create a graph client

Create new vertices

Create edges between vertices

Execute Gremlin query

Settings file

Required packages

Create a TypeScript function to process graph data in Cosmos DB

Queue trigger to track new items

Create graph nodes

Create a graph client

Create new vertices

Create edges between vertices

Settings file

Required packages

Create a Python program to process graph data in Cosmos DB using Azure function

Queue trigger to track new items

Create graph nodes

Create graph client

Create new vertices

Create edges between vertices

Requirements to the solution

Source codes

Conclusion

Questions

Index