Modern Reservation Management System
Document Information
- Project Name: Modern Reservation Management System
- Version: 1.0
- Date: September 24, 2025
- Planning Period: October 2025 - March 2026 (6 Months)
- Team Size: 12-15 Developers (6 Frontend, 4 Backend Node.js, 3 Backend Java, 2 DevOps)
- Project Manager: TBD
- Technical Lead: TBD
Executive Summary
This document outlines the comprehensive development plan for building the Modern Reservation Management System using a hybrid Node.js + Java architecture with Nx monorepo. The project is estimated to take 24 weeks (6 months) with a team of 12-15 developers working in parallel across multiple workstreams.
Key Success Factors:
- Parallel Development: Frontend, Backend, and Infrastructure teams working simultaneously
- Iterative Delivery: Working software delivered every 2 weeks
- Event-Driven Architecture: Kafka-based decoupled microservices
- Hybrid Technology Stack: Node.js + Java optimized for performance
- DevOps First: CI/CD and monitoring setup from day one
Project Phases Overview
gantt
title Modern Reservation System Development Timeline
dateFormat YYYY-MM-DD
section Foundation
Project Setup & Architecture :foundation, 2025-10-01, 2025-10-14
Development Environment :devenv, 2025-10-01, 2025-10-21
CI/CD Pipeline :cicd, 2025-10-08, 2025-10-28
section Core Infrastructure
Database Design & Setup :database, 2025-10-15, 2025-11-04
Kafka Event Streaming :kafka, 2025-10-15, 2025-11-04
Redis Cache Architecture :redis, 2025-10-22, 2025-11-11
section Frontend Development
Angular PWA Setup :angular, 2025-10-15, 2025-11-04
UI Component Library :ui-lib, 2025-10-29, 2025-11-25
Guest Portal :guest-portal, 2025-11-12, 2025-12-23
Staff Portal :staff-portal, 2025-11-26, 2026-01-13
Admin Portal :admin-portal, 2025-12-24, 2026-02-10
section Backend Services
Node.js Services :nodejs, 2025-10-29, 2025-12-16
Java Services :java, 2025-11-12, 2026-01-06
Integration & Testing :integration, 2025-12-17, 2026-01-27
section Advanced Features
Analytics & Reporting :analytics, 2026-01-14, 2026-02-24
Performance Optimization :optimization, 2026-02-11, 2026-03-10
Security Hardening :security, 2026-02-25, 2026-03-17
section Deployment
Production Deployment :prod-deploy, 2026-03-11, 2026-03-24
Go-Live & Support :go-live, 2026-03-25, 2026-03-31
Phase 1: Foundation & Setup (Weeks 1-4)
Week 1-2: Project Initialization
Sprint 1.1 Goals:
- Project kickoff and team onboarding
- Development environment setup
- Initial architecture decisions validation
graph LR
subgraph "Week 1-2 Deliverables"
A1[Nx Monorepo Setup<br/>Angular + Node.js + Java]
A2[Git Repository<br/>Branch strategy & workflows]
A3[Development Tools<br/>VSCode, IntelliJ setup]
A4[Docker Compose<br/>Local development stack]
A5[Initial CI/CD<br/>GitHub Actions pipeline]
end
subgraph "Team Assignments"
T1[Frontend Team<br/>Angular workspace setup]
T2[Backend Team<br/>Node.js + Java services]
T3[DevOps Team<br/>Infrastructure & CI/CD]
T4[Architecture Team<br/>Technical decisions]
end
A1 --> T1
A2 --> T2
A3 --> T3
A4 --> T4
Detailed Tasks:
DevOps & Infrastructure (Week 1-2):
- Day 1-3: Set up Nx monorepo with Angular, Node.js, and Java project structure
- Day 4-7: Configure Docker development environment with PostgreSQL, Redis, Kafka
- Day 8-10: Set up GitHub Actions CI/CD pipeline for multi-language builds
- Day 11-14: Create Kubernetes development cluster and ArgoCD setup
Frontend Team (Week 1-2):
- Day 1-5: Angular 17 workspace configuration with Material Design
- Day 6-10: Set up shared UI component library structure
- Day 11-14: Create responsive layout framework and theme system
Backend Team (Week 1-2):
- Day 1-7: Node.js services scaffolding (API Gateway, WebSocket, Notification)
- Day 8-14: Java services setup (Spring Boot projects for Reservation, Availability, Payment)
Week 3-4: Core Infrastructure
Sprint 1.2 Goals:
- Database schema implementation
- Event streaming setup
- Basic authentication system
Detailed Tasks:
Database Team (Week 3-4):
- Day 15-18: PostgreSQL multi-master setup with Docker
- Day 19-22: Core entity schemas (User, Reservation, Room, Rate) with soft delete
- Day 23-26: Database migration scripts and seeding data
- Day 27-28: Performance tuning and index optimization
Event Streaming Team (Week 3-4):
- Day 15-19: Kafka cluster setup with Zookeeper
- Day 20-24: Topic configuration and partitioning strategy
- Day 25-28: Event schema definitions using Zod
Security Team (Week 3-4):
- Day 15-21: JWT authentication service implementation
- Day 22-28: RBAC (Role-Based Access Control) system design
Phase 2: Core Development (Weeks 5-12)
Week 5-8: Core Services Development
Sprint 2.1-2.2 Goals:
- Implement core reservation engine
- Build availability calculation system
- Create user management interfaces
graph TB
subgraph "Core Services Architecture"
subgraph "Node.js Services"
N1[API Gateway<br/>Authentication & Routing]
N2[WebSocket Service<br/>Real-time updates]
N3[Notification Service<br/>Email/SMS/Push]
end
subgraph "Java Services"
J1[Reservation Engine<br/>Business logic core]
J2[Availability Calculator<br/>Complex algorithms]
J3[Payment Processor<br/>Security critical]
end
subgraph "Event Flow"
E1[ReservationRequested] --> E2[AvailabilityChecked] --> E3[PaymentProcessed] --> E4[ReservationConfirmed]
end
subgraph "Frontend Apps"
F1[Guest Portal<br/>Booking interface]
F2[Staff Portal<br/>Operations interface]
end
end
N1 --> E1
E1 --> J2
E2 --> J1
E3 --> J3
E4 --> N2
E4 --> N3
F1 --> N1
F2 --> N1
Detailed Development Tasks:
Java Backend Team (Week 5-8):
Week 5-6: Reservation Engine
- Day 29-33: Core reservation entity and business logic
- Day 34-38: Kafka event consumers for reservation processing
- Day 39-42: Reservation validation rules and constraints
Week 7-8: Availability Calculator
- Day 43-47: Multi-room availability algorithms
- Day 48-52: Cache integration with Redis
- Day 53-56: Performance optimization and parallel processing
Node.js Backend Team (Week 5-8):
Week 5-6: API Gateway
- Day 29-35: Express.js gateway with authentication middleware
- Day 36-42: Rate limiting and request validation
Week 7-8: Notification & WebSocket Services
- Day 43-49: Multi-channel notification system (email, SMS, push)
- Day 50-56: WebSocket service for real-time updates
Frontend Team (Week 5-8):
Week 5-6: Guest Portal Foundation
- Day 29-35: Angular PWA setup with service worker
- Day 36-42: Responsive layout and navigation system
Week 7-8: Booking Interface
- Day 43-49: Room search and availability display
- Day 50-56: Booking form with validation and payment integration
Week 9-12: Advanced Features & Integration
Sprint 2.3-2.4 Goals:
- Complete payment processing
- Implement housekeeping module
- Add real-time dashboard
Detailed Tasks:
Payment Processing (Week 9-10):
- Day 57-63: Java Spring Boot payment service with Stripe integration
- Day 64-70: PCI-DSS compliance and security hardening
Housekeeping Module (Week 11-12):
- Day 71-77: Room status management and cleaning workflows
- Day 78-84: Mobile-first interface for housekeeping staff
Phase 3: Frontend Portals (Weeks 13-16)
Week 13-14: Staff Portal Development
Sprint 3.1 Goals:
- Complete staff operations interface
- Implement check-in/check-out workflows
- Add guest management features
Detailed Tasks:
Frontend Team - Staff Portal:
- Day 85-91: Front desk operations interface
- Day 92-98: Guest profile management and history
Integration Team:
- Day 85-98: API integration testing and error handling
Week 15-16: Admin Portal Development
Sprint 3.2 Goals:
- Build administrative interface
- Implement reporting dashboard
- Add system configuration tools
Detailed Tasks:
Frontend Team - Admin Portal:
- Day 99-105: System administration interface
- Day 106-112: Real-time analytics dashboard with charts
Phase 4: Analytics & Optimization (Weeks 17-20)
Week 17-18: Analytics Engine
Sprint 4.1 Goals:
- Implement business intelligence features
- Create revenue management tools
- Add performance monitoring
graph TB
subgraph "Analytics Architecture"
subgraph "Data Sources"
D1[Reservation Events]
D2[Payment Transactions]
D3[Guest Interactions]
D4[System Metrics]
end
subgraph "Processing Pipeline"
P1[Kafka Streams<br/>Real-time processing]
P2[Java Analytics Engine<br/>Complex calculations]
P3[Time Series DB<br/>Metrics storage]
end
subgraph "Visualization"
V1[Grafana Dashboards<br/>Operational metrics]
V2[Angular Charts<br/>Business analytics]
V3[Report Generator<br/>PDF/Excel exports]
end
end
D1 --> P1
D2 --> P1
D3 --> P2
D4 --> P3
P1 --> V1
P2 --> V2
P3 --> V3
Detailed Tasks:
Analytics Team (Week 17-18):
- Day 113-119: Java-based analytics engine for revenue calculations
- Day 120-126: Real-time dashboard with occupancy and revenue metrics
DevOps Team (Week 17-18):
- Day 113-126: Prometheus, Grafana, and ELK stack deployment
Week 19-20: Performance Optimization
Sprint 4.2 Goals:
- Achieve 10,000 reservations/minute target
- Optimize database queries
- Implement advanced caching strategies
Detailed Tasks:
Performance Team (Week 19-20):
- Day 127-133: Database query optimization and indexing
- Day 134-140: Redis cache warming and invalidation strategies
Phase 5: Production Readiness (Weeks 21-24)
Week 21-22: Security & Compliance
Sprint 5.1 Goals:
- Complete security audit
- Implement compliance features
- Add comprehensive monitoring
Detailed Tasks:
Security Team (Week 21-22):
- Day 141-147: Security penetration testing and vulnerability fixes
- Day 148-154: GDPR compliance features and audit trails
Week 23-24: Deployment & Go-Live
Sprint 5.2 Goals:
- Production deployment
- Load testing validation
- User training and support
Detailed Tasks:
DevOps Team (Week 23-24):
- Day 155-161: Production Kubernetes cluster setup
- Day 162-168: Load testing with 10,000 reservations/minute simulation
Support Team (Week 23-24):
- Day 155-168: User training materials and documentation
- Day 162-168: Go-live support and monitoring
Resource Allocation
Team Structure & Responsibilities:
graph TB
subgraph "Development Teams (12-15 people)"
subgraph "Frontend Team (6 people)"
F1[Senior Angular Developer<br/>Team Lead]
F2[Angular Developer<br/>Guest Portal]
F3[Angular Developer<br/>Staff Portal]
F4[Angular Developer<br/>Admin Portal]
F5[UI/UX Developer<br/>Design System]
F6[Frontend DevOps<br/>Build & Deploy]
end
subgraph "Backend Team (7 people)"
B1[Senior Full-Stack Developer<br/>Architecture Lead]
B2[Node.js Developer<br/>API Gateway]
B3[Node.js Developer<br/>WebSocket & Events]
B4[Java Developer<br/>Reservation Engine]
B5[Java Developer<br/>Availability & Rates]
B6[Java Developer<br/>Payments & Security]
B7[Database Engineer<br/>PostgreSQL & Redis]
end
subgraph "DevOps Team (2 people)"
D1[Senior DevOps Engineer<br/>Infrastructure & CI/CD]
D2[DevOps Engineer<br/>Monitoring & Security]
end
end
subgraph "Leadership Team (3 people)"
L1[Project Manager<br/>Coordination & Planning]
L2[Technical Architect<br/>Technology Decisions]
L3[Product Owner<br/>Requirements & Priorities]
end
Weekly Sprint Planning:
Week | Sprint | Focus Area | Key Deliverables |
---|---|---|---|
1-2 | 1.1 | Foundation | Nx monorepo, Docker setup, CI/CD pipeline |
3-4 | 1.2 | Infrastructure | Database schema, Kafka topics, Authentication |
5-6 | 2.1 | Core Services | Reservation engine, API gateway, Guest portal foundation |
7-8 | 2.2 | Integration | Event-driven communication, WebSocket service |
9-10 | 2.3 | Payment & Security | Payment processing, PCI compliance |
11-12 | 2.4 | Operations | Housekeeping module, Staff portal |
13-14 | 3.1 | Staff Features | Front desk operations, Guest management |
15-16 | 3.2 | Administration | Admin portal, System configuration |
17-18 | 4.1 | Analytics | Business intelligence, Revenue management |
19-20 | 4.2 | Performance | Optimization, Load testing |
21-22 | 5.1 | Security | Security audit, GDPR compliance |
23-24 | 5.2 | Go-Live | Production deployment, User training |
Risk Management & Mitigation
Technical Risks:
Risk | Impact | Probability | Mitigation Strategy |
---|---|---|---|
Kafka Learning Curve | High | Medium | Dedicated training, Senior architect guidance |
Java-Node.js Integration | Medium | Low | Proof of concept, Event-driven architecture |
Performance Targets | High | Low | Early load testing, Performance monitoring |
Database Scaling | Medium | Medium | Multi-master setup, Read replicas |
Team Coordination | Medium | High | Daily standups, Cross-team integration testing |
Project Risks:
Risk | Impact | Probability | Mitigation Strategy |
---|---|---|---|
Scope Creep | High | High | Clear requirements, Change control process |
Resource Availability | Medium | Medium | Cross-training, Backup resources |
Integration Delays | Medium | Medium | Parallel development, Early integration |
Third-party Dependencies | Low | Low | Multiple vendor options, Fallback plans |
Quality Assurance Strategy
Testing Pyramid:
graph TB
subgraph "Testing Strategy"
T1[E2E Tests<br/>Critical user journeys<br/>Cypress automation]
T2[Integration Tests<br/>Service contracts<br/>API & Event testing]
T3[Unit Tests<br/>Individual components<br/>Jest & JUnit coverage]
subgraph "Quality Gates"
Q1[Code Coverage > 80%]
Q2[Performance Benchmarks]
Q3[Security Scanning]
Q4[Accessibility Testing]
end
end
T3 --> T2
T2 --> T1
T1 --> Q1
Q1 --> Q2
Q2 --> Q3
Q3 --> Q4
Definition of Done:
For Backend Services:
- Unit tests with >80% coverage
- Integration tests for all API endpoints
- Event schema validation
- Performance benchmarks met
- Security scanning passed
- Documentation updated
For Frontend Components:
- Unit tests for all components
- E2E tests for user workflows
- Accessibility compliance (WCAG 2.1 AA)
- Mobile responsiveness tested
- Cross-browser compatibility
- Performance metrics (Lighthouse score >90)
Success Metrics & KPIs
Technical KPIs:
Metric | Target | Measurement |
---|---|---|
System Response Time | <50ms (95th percentile) | APM monitoring |
Throughput | 10,000 reservations/minute | Load testing |
Uptime | 99.95% availability | Uptime monitoring |
Code Coverage | >80% across all services | Test reports |
Bug Escape Rate | <2% to production | Defect tracking |
Deployment Frequency | Daily deployments | CI/CD metrics |
Business KPIs:
Metric | Target | Measurement |
---|---|---|
Time to Market | 24 weeks delivery | Project timeline |
Team Productivity | 80% story completion rate | Sprint metrics |
User Adoption | 90% staff adoption in 30 days | Usage analytics |
Performance Improvement | 75% reduction in manual processes | Business metrics |
Budget Estimation
Development Costs (6 Months):
Resource | Count | Monthly Rate | Total Cost |
---|---|---|---|
Senior Developers (Lead) | 3 | $12,000 | $216,000 |
Mid-level Developers | 8 | $8,000 | $384,000 |
Junior Developers | 4 | $5,000 | $120,000 |
DevOps Engineers | 2 | $10,000 | $120,000 |
Project Manager | 1 | $9,000 | $54,000 |
Product Owner | 1 | $8,000 | $48,000 |
Total Development Cost: $942,000
Infrastructure Costs (6 Months):
Service | Monthly Cost | Total Cost |
---|---|---|
Cloud Infrastructure (AWS/GCP) | $3,000 | $18,000 |
Development Tools & Licenses | $1,500 | $9,000 |
Third-party Services | $1,000 | $6,000 |
Monitoring & Security Tools | $800 | $4,800 |
Total Infrastructure Cost: $37,800
Grand Total Project Cost: $979,800
Conclusion
This comprehensive development plan provides a roadmap for successfully delivering the Modern Reservation Management System within 24 weeks using a hybrid Node.js + Java architecture with event-driven microservices.
Key Success Factors:
- Parallel Development Streams - Frontend, Backend, and Infrastructure teams work simultaneously
- Event-Driven Architecture - Kafka provides decoupling and scalability
- Iterative Delivery - Working software every 2 weeks with continuous feedback
- Quality First - Comprehensive testing and monitoring from day one
- Performance Focus - Early optimization to meet ultra-scale requirements
Next Steps:
- Team Assembly - Recruit and onboard development team
- Environment Setup - Prepare development infrastructure
- Sprint 1.1 Kickoff - Begin with Nx monorepo setup and CI/CD pipeline
- Stakeholder Alignment - Weekly progress reviews and course corrections
This plan positions the project for successful delivery of a production-ready, ultra-scale reservation management system that can handle 10,000 reservations per minute while maintaining high availability and developer productivity.