Build Custom Dashboards with MongoDB, Azure & Serverless Functions

This article details building a custom WordPress dashboard using React.js, Node.js, MongoDB Atlas, and several Microsoft Azure services, focusing on serverless Azure Functions. The author chose this stack for its scalability, cost-effectiveness, and suitability for a large-scale WordPress site needing AI-powered business intelligence.

The dashboard aims to provide high-level data reporting on a large network of hotels, serverless automation, IoT hub integration, machine learning capabilities, and real-time data visualization. MongoDB Atlas was selected over a relational database due to its schema-less flexibility, efficient scaling, and cost-effectiveness. The author also highlights MongoDB Compass for database management.

The dashboard interacts with the WordPress site via its REST API, using the wpapi library. The article includes code snippets demonstrating Express.js routing, authentication, and content fetching. A key component is the integration with Azure Functions for processing sales data from Paddle.com and storing it in MongoDB Atlas. The steps for setting up an Azure Function App, creating an HTTP-triggered function, and deploying it are explained, along with code for connecting to MongoDB using Mongoose.

The article further explores the integration of Azure Cognitive Services for AI functionalities such as image alt text generation and content moderation. It also showcases a custom WordPress plugin for grammar checking using AI. Finally, the article provides a FAQ section addressing common questions about integrating Azure Functions with MongoDB and building custom dashboards.

The author's custom WordPress dashboard leverages a modern JavaScript stack, cloud services, and AI to create a powerful and efficient business intelligence tool. The use of serverless functions ensures scalability and cost optimization.

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