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System Overview - Football Field Booking System

1. Executive Summary

Project Name: Football Field Booking System
Version: 1.0
Last Updated: January 2025
Status: Requirements Phase

Purpose

A comprehensive platform for booking football fields, managing facilities, processing payments, and coordinating between field owners and customers.

Target Users

  • Customers: People who want to book football fields
  • Field Owners: Businesses that own and manage football fields
  • Administrators: System administrators

2. Business Context

Problem Statement

Current football field booking processes are:

  • Manual and time-consuming
  • Prone to double-booking errors
  • Lack real-time availability information
  • Have payment tracking issues
  • Provide poor customer experience

Solution

A microservices-based platform that provides:

  • Real-time field availability
  • Automated booking management
  • Conflict prevention
  • Integrated payment processing
  • Multi-channel notifications
  • Analytics and reporting

Success Metrics

  • Booking Conversion Rate: > 60%
  • Double Booking Rate: < 0.1%
  • Payment Success Rate: > 95%
  • System Uptime: > 99.5%
  • Response Time: < 200ms (p95)
  • User Satisfaction: > 4.0/5.0

3. System Scope

In Scope

✅ User registration and authentication
✅ Field catalog management
✅ Real-time availability checking
✅ Booking creation and management
✅ Payment processing (Stripe, VNPay)
✅ Email and SMS notifications
✅ Search and filtering
✅ Basic analytics
✅ Admin dashboard

Out of Scope (Phase 2+)

❌ Mobile applications (native iOS/Android)
❌ AI-powered recommendations
❌ Loyalty programs
❌ Social features (reviews, ratings)
❌ In-app chat
❌ Advanced analytics (ML-based)
❌ Multi-language support

4. Stakeholders

Role Responsibilities Priority
Product Owner Define features, prioritize backlog High
Tech Lead Architecture decisions, technical direction High
Backend Developers Implement services, APIs, business logic High
DevOps Engineer Infrastructure, CI/CD, monitoring High
QA Engineers Testing, quality assurance Medium
Field Owners Provide field information, manage bookings High
Customers Book fields, make payments High

5. System Architecture Overview

Architecture Style

Microservices Architecture with event-driven communication

Key Services

  1. API Gateway - Entry point, authentication, routing
  2. User Service - User management, profiles
  3. Field Service - Field catalog, availability
  4. Booking Service - Booking management, conflicts
  5. Payment Service - Payment processing, webhooks
  6. Notification Service - Email, SMS notifications

Technology Stack

Backend:

  • NestJS (Node.js)
  • TypeScript
  • Golang (for CPU-intensive tasks)

Databases:

  • PostgreSQL (User, Field, Booking, Payment)
  • MongoDB (Logs, Analytics)
  • Redis (Cache, Locks, Queues)

Message Queue:

  • Kafka (Inter-service events)
  • BullMQ (Job queues)

Authentication:

  • Keycloak (Identity & Access Management)

Observability:

  • Signoz (Tracing, Metrics, Logs)

Infrastructure:

  • Docker & Docker Compose (Development)
  • Kubernetes (Production)
  • Nginx (Load Balancing)

6. High-Level Requirements Summary

Functional Requirements (30 items)

  • User Management (6)
  • Field Management (5)
  • Booking Management (8)
  • Payment Processing (5)
  • Notifications (3)
  • Search & Discovery (3)

Non-Functional Requirements (25 items)

  • Performance (5)
  • Scalability (5)
  • Security (5)
  • Reliability (5)
  • Maintainability (5)

API Requirements (45+ endpoints)

Database Requirements (15+ tables)

Security Requirements (10+ controls)

7. Assumptions & Constraints

Assumptions

  • Users have stable internet connection
  • Payment gateways (Stripe, VNPay) are available
  • Field owners provide accurate information
  • Bookings are made at least 1 hour in advance
  • Each booking is between 1-8 hours

Constraints

  • Budget: Limited to open-source technologies
  • Timeline: Phase 1 completion in 3 months
  • Team: 3-4 developers
  • Infrastructure: Cloud-based (AWS/GCP/Azure)
  • Compliance: Must follow local payment regulations

Dependencies

  • Keycloak for authentication
  • Stripe/VNPay for payments
  • SMTP provider for emails
  • SMS gateway for notifications

8. Glossary

Term Definition
Field A football playing area available for booking
Time Slot A specific date and time period for a field
Booking A reservation of a field for a specific time slot
Double Booking Two overlapping bookings for the same field
Conflict Detection System to prevent double bookings
Saga Pattern Distributed transaction pattern
Event Sourcing Storing state changes as events
Distributed Lock Redis-based lock to prevent race conditions
P0/P1/P2 Priority levels (0=Critical, 1=High, 2=Medium)

9. System Context Diagram

┌─────────────────────────────────────────────────────────────┐
│                    EXTERNAL SYSTEMS                          │
├─────────────────────────────────────────────────────────────┤
│  Keycloak  │  Stripe  │  VNPay  │  SMTP  │  SMS Gateway   │
└─────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────┐
│              FOOTBALL BOOKING SYSTEM                         │
│                                                              │
│  [API Gateway] → [User Svc] → [Field Svc] → [Booking Svc]  │
│                     ↓             ↓              ↓           │
│                [Payment Svc] ← [Notification Svc]           │
│                                                              │
│  Message Bus: Kafka                                         │
│  Cache/Locks: Redis                                         │
│  Databases: PostgreSQL, MongoDB                             │
└─────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────┐
│                         USERS                                │
├─────────────────────────────────────────────────────────────┤
│         Customers   │   Field Owners   │   Admins          │
└─────────────────────────────────────────────────────────────┘

11. Key Technical Decisions

Why Microservices?

  • Scalability: Scale services independently based on load
  • Technology flexibility: Use different tech stacks per service
  • Team autonomy: Teams can work independently
  • Fault isolation: One service failure doesn't crash entire system
  • Deployment flexibility: Deploy services independently

Why Keycloak?

  • Centralized authentication: Single source of truth
  • SSO support: Single sign-on across services
  • OAuth/OIDC: Industry standard protocols
  • Social login: Google, Facebook integration
  • Admin UI: Built-in user management

Why Kafka?

  • Event sourcing: Replay events for debugging
  • High throughput: Handle millions of events
  • Decoupling: Services don't need to know about each other
  • Scalability: Add consumers without affecting producers
  • Durability: Events are persisted

Why Redis?

  • Distributed locks: Prevent double booking
  • Caching: Fast data access
  • Session storage: User sessions
  • Job queues: BullMQ for async tasks
  • Rate limiting: API throttling

Why PostgreSQL + MongoDB?

  • PostgreSQL: ACID transactions for critical data
  • MongoDB: Flexible schema for logs and analytics
  • Best of both worlds: Use right tool for right job

12. Risk Management

Technical Risks

  1. Distributed Lock Failures
  2. Impact: Double bookings
  3. Mitigation: Redis cluster, fallback to DB locks

  4. Probability: Low

  5. Payment Gateway Downtime

  6. Impact: Lost revenue
  7. Mitigation: Multiple gateways, queue retry

  8. Probability: Medium

  9. Database Performance

  10. Impact: Slow response times
  11. Mitigation: Indexing, caching, read replicas
  12. Probability: Medium

Business Risks

  1. Low Adoption Rate
  2. Impact: Project failure
  3. Mitigation: User testing, marketing

  4. Probability: Medium

  5. Competitor Launch

  6. Impact: Market share loss
  7. Mitigation: Fast MVP, unique features
  8. Probability: High

13. Success Criteria

MVP Success (3 months)

  • [ ] 100+ registered users
  • [ ] 50+ listed fields
  • [ ] 500+ bookings completed
  • [ ] < 1% double booking rate
  • [ ] > 95% payment success rate
  • [ ] > 99% system uptime
  • [ ] < 500ms API response time (p95)

Phase 2 Success (6 months)

  • [ ] 1,000+ registered users
  • [ ] 200+ listed fields
  • [ ] 5,000+ bookings completed
  • [ ] Mobile app launched
  • [ ] Review system implemented
  • [ ] Advanced analytics available

14. Approval

Role Name Signature Date
Product Owner
Tech Lead
Stakeholder

Document Control:

  • Version: 1.0
  • Last Updated: 2025-01-13
  • Next Review: 2025-02-13
  • Owner: Tech Lead