Azure Cosmos DB E-commerce Backend Sample

Overview

This sample showcases a practical implementation of an e-commerce backend using Azure Cosmos DB. It demonstrates how to leverage Cosmos DB's features like global distribution, low latency, and flexible schema to build a performant and resilient online store.

Key components include product catalog management, order processing, and user authentication.

Features

Scalable Product Catalog: Easily manage millions of products with dynamic schema.
Real-time Order Processing: Handle high volumes of transactions efficiently.
User Management: Secure storage and retrieval of user data.
Global Distribution: Ensure low latency for users worldwide.
Flexible Data Model: Adapt to changing business needs without complex migrations.
Cross-Platform Compatibility: Works with various SDKs for different programming languages.

Technology Stack

This solution utilizes:

Azure Cosmos DB: The globally distributed, multi-model database.
Azure Functions: For serverless API endpoints.
Azure API Management: To secure and manage APIs.
.NET Core / Node.js / Python: Backend logic (choose your preferred language).
RESTful APIs: Standardized communication interface.

Explore Code

Getting Started

Sample API Endpoint (Node.js)

Below is a simplified example of a Node.js Azure Function to retrieve product data from Cosmos DB.

                    // Import necessary libraries
                    const cosmosClient = require('@azure/cosmos').CosmosClient;
                    const endpoint = process.env.COSMOS_ENDPOINT;
                    const key = process.env.COSMOS_KEY;
                    const databaseId = 'eCommerceDB';
                    const containerId = 'products';

                    const getClient() {
                        return new cosmosClient({ endpoint, key });
                    }

                    module.exports = async function (context, req) {
                        context.log('JavaScript HTTP trigger function processed a request.');

                        try {
                            const client = getClient();
                            const database = client.database(databaseId);
                            const container = database.container(containerId);

                            // Query for all products (simplified)
                            const querySpec = {
                                query: "SELECT * FROM c"
                            };

                            const { resources: items } = await container.items.query(querySpec).fetchAll();

                            context.res = {
                                status: 200,
                                body: items
                            };
                        } catch (error) {
                            context.log.error('Error fetching products:', error);
                            context.res = {
                                status: 500,
                                body: "Internal Server Error"
                            };
                        }
                    };
                

This is a basic example. For a full implementation, refer to the official Azure documentation and GitHub repositories.