Book Image

Learning Azure Cosmos DB

By : Shahid Shaikh
Book Image

Learning Azure Cosmos DB

By: Shahid Shaikh

Overview of this book

<p>Microsoft has introduced a new globally distributed database, called Azure Cosmos DB. It is a superset of Microsoft's existing NoSQL Document DB service. Azure Cosmos DB enables you to scale throughput and storage elastically and independently across any number of Azure's geographic regions.</p> <p>This book is a must-have for anyone who wants to get introduced to the world of Cosmos DB. This book will focus on building globally-distributed applications without the hassle of complex, multiple datacenter configurations. This book will shed light on how Cosmos DB offers multimodal NoSQL database capabilities in the cloud at a scale that is one product with different database engines, such as key-value, document, graph, and wide column store. We will cover detailed practical examples on how to create a CRUD application using Cosmos DB with a frontend framework of your choice. This book will empower developers to choose their favorite database engines to perform integration, along with other systems that utilize the most popular languages, such as Node.js. This book will take you through the tips and trick, of Cosmos DB deployment, management, and the security offered by Azure Cosmos DB in order to detect, prevent, and respond to database breaches.</p> <p>By the end of this book, you will not only be aware of the best capabilities of relational and non-relational databases, but you will also be able to build scalable, globally distributed,<br />and highly responsive applications.</p>
Table of Contents (14 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Tracking emails and storing tracking data


So far, we have discussed the architecture of our email sender and how we can build a scalable system which can send emails in large volumes.

Now, it's time to track those emails. Let's build and code a program that can track the email open rate, location, IP, device, that is, computer, laptop or phone, and agent, that is, browser.

We are also going to insert that data in the MongoDB database or Cosmos DB.

In the last section, we added the tracking code, which was an image tag using our API call as its source, into the email. Our API call is going to return the image.

Let's develop a sample code which will do the same thing.

Initiate a new Node.js project and install the following dependency:

npm i --S express

Here is the sample code of the API:

const express = require('express'); 
const app = express(); 
 
app.get('/api/track',function(req,res) { 
   console.log('tracking code'+JSON.stringify(req.query)); 
   // sending the image back. 
   var buf = new...