Skip to content

Latest commit

 

History

History
325 lines (254 loc) · 12.4 KB

File metadata and controls

325 lines (254 loc) · 12.4 KB

Product Requirements Document: SupplyBoost

Version: 1.0 Last Updated: 2025-11-09 Status: Draft Owner: Product & Engineering Team


Executive Summary

SupplyBoost is an educational platform demonstrating enterprise-grade supply chain management through a distributed microservices architecture. The project serves as a learning vehicle for modern software engineering practices, cloud-native patterns, and real-world system design challenges.

Target Audience: Software engineers transitioning from monolithic applications to distributed systems.


1. Problem Statement

1.1 Current Challenges

  • Educational Gap: Most learning resources focus on trivial examples (todo apps) that don't reflect real-world complexity
  • Architecture Understanding: Engineers lack hands-on experience with microservices, event-driven systems, and distributed transactions
  • Integration Complexity: Limited resources demonstrate how multiple business domains interact in practice
  • Operational Concerns: Few examples address monitoring, resilience, and production-readiness

1.2 Success Criteria

  • Functional supply chain management system with complete user journeys
  • Well-documented architecture demonstrating industry best practices
  • Testable, deployable system with proper CI/CD pipelines
  • Educational value through clear documentation and decision records

2. Product Vision & Goals

2.1 Vision Statement

Build a production-quality reference implementation of supply chain management that demonstrates the full lifecycle of distributed system development, from design to deployment.

2.2 Core Objectives

  1. Functional Completeness: Implement end-to-end business processes
  2. Technical Excellence: Demonstrate modern architecture patterns
  3. Educational Value: Provide learning resources through code and documentation
  4. Operational Maturity: Include monitoring, logging, and resilience patterns

2.3 Non-Goals

  • Building a commercially viable product for actual business use
  • Supporting multi-tenancy or white-labeling
  • Implementing AI/ML features (future consideration)
  • Mobile native applications (web-first approach)

3. User Personas & Use Cases

3.1 Primary Personas

P1: Learning Engineer

  • Profile: Mid-level developer (2-5 years experience) seeking to understand distributed systems
  • Goals: Learn microservices patterns, study real-world implementations, build portfolio project
  • Needs: Clear documentation, runnable examples, architectural explanations

P2: System Administrator

  • Profile: DevOps engineer exploring deployment patterns
  • Goals: Understand containerization, orchestration, monitoring strategies
  • Needs: Infrastructure as code, deployment documentation, operational runbooks

P3: End Customer (Demo User)

  • Profile: Fictional retail customer for demonstration purposes
  • Goals: Browse products, place orders, track shipments
  • Needs: Intuitive UI, responsive experience, order visibility

3.2 User Journeys

Journey 1: Product Purchase Flow

  1. Customer registers/authenticates
  2. Browses product catalog with search/filtering
  3. Adds items to shopping cart
  4. Proceeds to checkout with payment
  5. Receives order confirmation
  6. Tracks order status
  7. Receives shipment notification

Journey 2: Inventory Management

  1. System checks inventory availability
  2. Reserves items for pending orders
  3. Updates stock levels on order completion
  4. Triggers reorder notifications for low stock
  5. Generates inventory reports

Journey 3: Order Fulfillment

  1. Order service receives new order
  2. Payment processing and validation
  3. Warehouse notification for picking
  4. Shipment creation and carrier assignment
  5. Customer notification at each stage
  6. Accounting integration for revenue recognition

4. Functional Requirements

4.1 Identity & Access Management

  • IAM-001: User registration with email verification
  • IAM-002: OAuth2/OIDC authentication via Keycloak
  • IAM-003: Role-based access control (Customer, Admin, Warehouse Staff)
  • IAM-004: Session management with JWT tokens
  • IAM-005: Password reset and account recovery

4.2 Product Catalog

  • CAT-001: Product listing with pagination (50 items/page)
  • CAT-002: Full-text search across product name, description, category
  • CAT-003: Faceted filtering (category, price range, brand, availability)
  • CAT-004: Product detail pages with images, specifications, reviews
  • CAT-005: Category hierarchy and navigation

4.3 Shopping Cart

  • CART-001: Add/remove/update cart items
  • CART-002: Persistent cart across sessions (authenticated users)
  • CART-003: Real-time price calculations with tax
  • CART-004: Quantity validation against inventory
  • CART-005: Cart abandonment tracking

4.4 Order Management

  • ORD-001: Order creation with multi-item support
  • ORD-002: Order status tracking (Pending, Confirmed, Shipped, Delivered, Cancelled)
  • ORD-003: Order history with search/filtering
  • ORD-004: Order cancellation within configurable window
  • ORD-005: Order modification before shipment

4.5 Inventory Management

  • INV-001: Real-time inventory tracking per SKU
  • INV-002: Inventory reservation on order creation
  • INV-003: Automatic stock release on order cancellation
  • INV-004: Low stock alerts (configurable thresholds)
  • INV-005: Inventory audit trail

4.6 Payment Processing

  • PAY-001: Integration with payment gateway (Stripe/mock)
  • PAY-002: Support for credit card, debit card payments
  • PAY-003: Payment retry logic for transient failures
  • PAY-004: Refund processing for cancelled orders
  • PAY-005: Payment audit and reconciliation

4.7 Notification System

  • NOT-001: Email notifications for order events
  • NOT-002: SMS notifications for shipment updates (optional)
  • NOT-003: In-app notifications
  • NOT-004: Notification preferences management
  • NOT-005: Template-based notification rendering

4.8 Accounting & Invoicing

  • ACC-001: Automatic invoice generation on order confirmation
  • ACC-002: Invoice PDF generation and email delivery
  • ACC-003: Revenue recognition on shipment
  • ACC-004: Refund tracking and accounting
  • ACC-005: Financial reporting (daily/monthly summaries)

5. Non-Functional Requirements

5.1 Performance

  • PERF-001: API response time p95 < 500ms for read operations
  • PERF-002: API response time p95 < 1000ms for write operations
  • PERF-003: System supports 100 concurrent users (initial target)
  • PERF-004: Database query response time < 100ms for 95% of queries
  • PERF-005: Message processing latency < 5 seconds end-to-end

5.2 Scalability

  • SCALE-001: Horizontal scaling of stateless microservices
  • SCALE-002: Database read replicas for query distribution
  • SCALE-003: Event queue handles 1000 messages/second
  • SCALE-004: CDN integration for static assets

5.3 Availability & Reliability

  • AVAIL-001: 99% uptime target for demo environment
  • AVAIL-002: Graceful degradation when non-critical services fail
  • AVAIL-003: Circuit breaker pattern for inter-service calls
  • AVAIL-004: Retry logic with exponential backoff
  • AVAIL-005: Health check endpoints for all services

5.4 Security

  • SEC-001: HTTPS/TLS for all external communications
  • SEC-002: Encrypted sensitive data at rest (PII, payment info)
  • SEC-003: Input validation and sanitization
  • SEC-004: SQL injection and XSS prevention
  • SEC-005: Rate limiting on public APIs (100 requests/minute per IP)
  • SEC-006: Audit logging for sensitive operations

5.5 Observability

  • OBS-001: Centralized logging with structured JSON format
  • OBS-002: Distributed tracing with correlation IDs
  • OBS-003: Metrics collection (RED: Rate, Errors, Duration)
  • OBS-004: Service dependency visualization
  • OBS-005: Real-time alerting for critical errors

5.6 Maintainability

  • MAINT-001: Code coverage > 70% for business logic
  • MAINT-002: API documentation via OpenAPI/Swagger
  • MAINT-003: Automated database migrations
  • MAINT-004: Consistent code style via linters
  • MAINT-005: Architecture Decision Records for major choices

6. Technical Constraints

6.1 Technology Choices

  • Backend: Java 17+ with Spring Boot framework
  • Frontend: Vue.js 3 with TypeScript
  • Message Broker: Apache Kafka for event streaming
  • Search Engine: Elasticsearch for product catalog
  • Identity Provider: Keycloak for authentication
  • Container Runtime: Docker with Kubernetes orchestration
  • Database: PostgreSQL for transactional data

6.2 Development Constraints

  • Must run on developer laptops (Docker Compose for local dev)
  • Must deploy to free-tier cloud services (initial phase)
  • Must support Linux and macOS development environments
  • CI/CD must complete in < 10 minutes for fast feedback

7. Release Criteria

7.1 Minimum Viable Product (MVP)

  • User authentication and registration functional
  • Product catalog with search (minimum 20 sample products)
  • Shopping cart and checkout flow
  • Order creation and basic status tracking
  • Email notifications for key events
  • Local deployment via Docker Compose
  • Basic integration test suite passing
  • API documentation published

7.2 Beta Release

  • All MVP features plus inventory management
  • Payment processing integration (test mode)
  • Advanced order management (cancellation, modification)
  • Kubernetes deployment manifests
  • Monitoring and logging infrastructure
  • Load testing demonstrating performance targets
  • Security audit completed

7.3 Production-Ready

  • All beta features plus accounting integration
  • Production-grade monitoring and alerting
  • Disaster recovery procedures documented
  • Performance optimization complete
  • Security hardening complete
  • User acceptance testing passed
  • Operational runbooks created

8. Dependencies & Risks

8.1 External Dependencies

  • Payment Gateway: Stripe API (free tier limitations)
  • Email Service: SendGrid or AWS SES (rate limits)
  • Cloud Infrastructure: Requires cloud account setup
  • Domain Name: For production-like deployment

8.2 Technical Risks

Risk Impact Probability Mitigation
Distributed transaction complexity High High Implement saga pattern, comprehensive testing
Kubernetes learning curve Medium High Start with Docker Compose, progressive migration
Event ordering issues High Medium Design for idempotency, use event sourcing patterns
Database performance bottlenecks Medium Medium Implement caching, read replicas, query optimization
Third-party service reliability Low Medium Mock services for development, fallback strategies

8.3 Schedule Risks

  • Risk: Scope creep expanding timeline indefinitely
  • Mitigation: Strict adherence to MVP feature set, parking lot for future features

9. Success Metrics

9.1 Technical Metrics

  • All microservices deployable independently
  • < 5% error rate in production logs
  • Test coverage above 70%
  • Zero critical security vulnerabilities

9.2 Educational Metrics

  • Comprehensive ADRs documenting all major decisions
  • README enables new developer to run system in < 30 minutes
  • Architecture documentation includes sequence diagrams for key flows
  • At least 3 complete user journeys demonstrable

10. Out of Scope (Future Considerations)

  • Real-time inventory sync with physical warehouses
  • Multi-currency and internationalization
  • Advanced recommendation engine
  • Mobile native applications
  • B2B wholesale portal
  • Supplier management system
  • Advanced analytics and reporting dashboards
  • Machine learning for demand forecasting

Appendix A: Glossary

  • SKU: Stock Keeping Unit - unique identifier for products
  • Saga Pattern: Distributed transaction pattern using compensating transactions
  • Circuit Breaker: Pattern preventing cascading failures in distributed systems
  • Idempotency: Property where operation can be repeated without changing result
  • Event Sourcing: Pattern storing state changes as sequence of events

Document History

Version Date Author Changes
1.0 2025-11-09 Engineering Team Initial comprehensive PRD