project-6eaa2388 System Requirements Document

Introduction

This System Requirements Document (SRD) outlines the architecture and requirements for the e-commerce platform "project-6eaa2388". The project is designed to leverage a microservices architecture to ensure scalability, flexibility, and maintainability.

System Overview

The e-commerce platform will be built using a microservices architecture. This approach allows for independent deployment and scaling of services, which is crucial for handling varying loads and ensuring high availability. The system will include the following components:

• API Gateway
• Authentication Service
• Product Service
• Order Service
• Inventory Service
• Payment Service
• Notification Service
• Kafka Event Bus
• Redis Cache
• PostgreSQL
• Elasticsearch
• Kubernetes Cluster

The architecture will support asynchronous communication through events, ensuring efficient data flow and processing across services.

Functional Requirements as Story Points

• As a User, I should be able to authenticate using the Authentication Service.
• As a User, I should be able to browse products using the Product Service.
• As a User, I should be able to place orders using the Order Service.
• As a User, I should be able to check inventory availability using the Inventory Service.
• As a User, I should be able to make payments using the Payment Service.
• As a User, I should receive notifications for order updates via the Notification Service.
• As a System, I should handle asynchronous communication using the Kafka Event Bus.
• As a System, I should cache frequently accessed data using Redis Cache.
• As a System, I should store transactional data in PostgreSQL.
• As a System, I should enable search capabilities using Elasticsearch.
• As a System, I should manage service orchestration using a Kubernetes Cluster.

User Personas

• User: An end-user who interacts with the e-commerce platform to browse products, place orders, and make payments.
• Admin: A system administrator who manages the platform's services and monitors system health.

Core User Flows

• User logs in -> browses products -> adds items to cart -> places order -> makes payment -> receives order confirmation notification.
• Admin monitors service health -> receives alerts for service issues -> scales services as needed using Kubernetes.

Visuals Colors and Theme

• primary: #1E3A8A (Deep Blue)
• primary_light: #3B82F6 (Light Blue)
• secondary: #F97316 (Vibrant Orange)
• accent: #10B981 (Emerald Green)
• highlight: #F59E0B (Amber)
• bg: #F3F4F6 (Light Gray)
• surface: rgba(255, 255, 255, 0.8) (White)
• text: #111827 (Dark Gray)
• text_muted: #6B7280 (Muted Gray)
• border: rgba(209, 213, 219, 0.2) (Light Gray)

Signature Design Concept

The homepage of the e-commerce platform will feature an interactive 3D architectural model of the microservices setup. Users can click on different services to see animated request flows and data interactions. The 3D model will be built using @react-three/fiber and @react-three/drei, providing a dynamic and engaging way to visualize the platform's architecture. As users hover over services, they will see real-time data metrics and flow animations, enhancing their understanding of the system's operations.

Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, creating a sense of depth as users scroll through the page. Each section will feature distinct interactive elements, such as animated service diagrams and hover-triggered data flow animations. This approach will provide a visually rich and informative first impression.

Non-Functional Requirements

• The system must ensure high availability and fault tolerance.
• Services should be independently deployable and scalable.
• The platform must support secure data transactions and user privacy.
• The system should handle peak loads efficiently without performance degradation.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: PostgreSQL for transactional data, Elasticsearch for search capabilities
• Event Bus: Kafka
• Cache: Redis
• Orchestration: Kubernetes

Assumptions and Constraints

• The platform will operate in the Indian market, considering local currency (INR) and timezone (IST).
• The system must comply with relevant data protection regulations.
• The architecture assumes a cloud-based deployment environment.

Glossary

• API Gateway: A service that acts as a single entry point for client requests.
• Microservices: An architectural style that structures an application as a collection of loosely coupled services.
• Kafka: A distributed event streaming platform used for building real-time data pipelines.
• Kubernetes: An open-source system for automating the deployment, scaling, and management of containerized applications.