Designing APIs for an E-commerce Website. (Step-by-Step Guide: Project Step-by-Step Guide)
- User Management
1.1. Registration: Allow new users to create an account using their email or social media profiles. 1.2. Login: Users should be able to securely log in using their credentials. 1.3. Profile Management: Users should have the ability to view and modify their profile details. 1.4. Password Reset: Users must have the option to reset their password through a secure link.
- Product Catalog
2.1. Browsing: Users should be able to browse products by different categories. 2.2. Product Details: Detailed product pages with product images, descriptions, specifications, and other relevant information. 2.3. Search: Users must be able to search for products using keywords.
- Cart & Checkout
3.1. Add to Cart: Users should be able to add products to their cart. 3.2. Cart Review: View selected items in the cart with price, quantity, and total details. 3.3. Checkout: Seamless process to finalize the purchase, including specifying delivery address and payment method.
- Order Management
4.1. Order Confirmation: After making a purchase, users should receive a confirmation with order details. 4.2. Order History: Users should be able to view their past orders. 4.3. Order Tracking: Provide users with a way to track their order's delivery status.
- Payment
5.1. Multiple Payment Options: Support for credit/debit cards, online banking, and other popular payment methods. 5.2. Secure Transactions: Ensure user trust by facilitating secure payment transactions. 5.3. Payment Receipt: Provide users with a receipt after a successful payment.
- Authentication
6.1. Secure Authentication: Ensure that user data remains private and secure during login and throughout their session. 6.2. Session Management: Users should remain logged in for a specified duration or until they decide to log out.
- Load Balancers (LB)
Function: Distribute incoming user requests across multiple server instances to balance load and ensure high availability. Tool: Amazon Elastic Load Balancing (ELB).
- API Gateway
Function: Entry point for clients. Routes requests to the right microservices, handles rate limiting, and manages authentication. Tool: Kong.
- Microservices
3.1 User Management Service -> Handles user registration, login, profile management, and password reset. -> Uses MySQL as the primary database for structured user data. -> Uses Kafka to communicate relevant user activities to other services (e.g., a new user registration event can trigger welcome emails or offers).
3.2 Product Catalog Service -> Manages product listings, details, categorization. -> Uses MySQL. -> Incorporates Elasticsearch for fast product searches, providing features like full-text search and typo correction.
3.3 Cart Service -> Manages user's shopping cart. -> Uses MongoDB for flexibility in cart structures. -> Uses Redis for fast, in-memory data access (e.g., to quickly retrieve a user’s cart).
3.4 Order Management Service -> Handles order processing, history, and tracking. -> Uses MySQL. -> Communicates with Payment Service and User Management Service through Kafka for order status updates, payment verifications, etc.
3.5 Payment Service -> Manages payment gateways and transaction logs. -> Uses MySQL. -> Once the payment is confirmed, it produces a message on Kafka to notify the Order Management Service.
3.6 Notification Service: -> Manages email and potentially other notifications (e.g., SMS). -> Consumes Kafka messages for events that require user notifications (like registration confirmations, order updates). -> Integrates with third-party platforms like Amazon SES for actual email delivery.
- Databases (Relational and NoSQL)
MySQL: For structured data. MongoDB: For flexible, unstructured data.
- Message Broker (Kafka)
Central message broker allowing asynchronous communication between microservices, ensuring data consistency, and acting as an event store for critical actions.
- Caching (Redis)
Primarily by Cart Service for faster response times.
- Search and Analytics (Elasticsearch)
Used by Product Catalog for fast and relevant product searches.
Part 1
-> User logs in and searches for a product. -> Request reaches LB, then passed to API Gateway. -> API Gateway routes the search request to Product Catalog Service. -> Product Catalog Service queries Elasticsearch for a fast product search.
Part 2
-> User adds a product to the cart. -> Cart Service produces a message to Kafka about this action.
Part 3
-> User checks out, triggering the Order Management Service. -> After placing the order, a message is sent to Kafka. -> Payment Service consumes the Kafka message to process payment.