JCP.TicketWave - Event Management and Ticket Sales System

Description

JCP.TicketWave is a microservices solution developed in .NET 10 for high-demand event management and ticket sales, similar to Ticketmaster or Eventbrite but simplified.

Architecture

The solution uses Clean Architecture with Vertical Slices to organize code efficiently and maintainably.

Microservices

1. Catalog Service (Port 7001)

   • Purpose: Event catalog management
   • Features: Read-intensive, optimized for cache and NoSQL
   • Endpoints:
     • GET /api/events - Event list with pagination and filters
     • GET /api/events/{id} - Specific event details
     • GET /api/categories - Event categories

2. Booking Service (Port 7002)

   • Purpose: Booking and ticket management
   • Features: Critical writing, SQL Server, ACID transactions, locking management
   • Endpoints:
     • POST /api/bookings - Create new booking
     • GET /api/bookings/{id} - Get booking details
     • POST /api/tickets/reserve - Reserve tickets temporarily

3. Payment Service (Port 7003)

   • Purpose: Payment processing and refunds
   • Features: Third-party integration (Stripe/PayPal), idempotency
   • Endpoints:
     • POST /api/payments - Process payment
     • GET /api/payments/{id} - Payment status
     • POST /api/refunds - Process refund

4. Notification Service (Port 7004)

   • Purpose: Notification sending and PDF generation
   • Features: Worker service, background processing, email, PDFs
   • Functions:
     • Confirmation email sending
     • PDF ticket generation
     • Message queue processing

5. API Gateway (Port 7000)

   • Purpose: Unified entry point for all services
   • Features: Routing, service aggregation, health checks
   • Functions:
     • Microservice proxy
     • Consolidated health check
     • CORS and centralized configuration

Project Structure

JCP.TicketWave/
├── src/
│   ├── Gateway/
│   │   └── JCP.TicketWave.Gateway/          # API Gateway
│   ├── Services/
│   │   ├── JCP.TicketWave.CatalogService/   # Catalog Service
│   │   ├── JCP.TicketWave.BookingService/   # Booking Service
│   │   ├── JCP.TicketWave.PaymentService/   # Payment Service
│   │   └── JCP.TicketWave.NotificationService/ # Notification Service
│   └── Shared/
│       ├── JCP.TicketWave.Shared.Contracts/ # Shared contracts
│       └── JCP.TicketWave.Shared.Infrastructure/ # Shared infrastructure
└── tests/ (Structure prepared for tests)

Service Structure (Clean Architecture + Vertical Slices)

Each service follows the same structure:

ServiceName/
├── Features/           # Vertical Slices organized by functionality
│   ├── FeatureName/
│   │   ├── Command.cs  # Commands (write operations)
│   │   ├── Query.cs    # Queries (read operations)
│   │   └── Handler.cs  # Business logic
├── Domain/            # Domain entities
├── Infrastructure/    # Infrastructure implementations
└── Program.cs         # Service configuration

Implemented Patterns

1. Vertical Slice Architecture

• Each feature is completely self-contained
• Reduces coupling between functionalities
• Facilitates parallel development

2. CQRS (Command Query Responsibility Segregation)

• Clear separation between commands and queries
• Independent optimization for read and write operations

3. Domain Events

• Asynchronous communication between services
• Infrastructure prepared for domain events

4. Repository Pattern

• Data access abstraction
• Facilitates testing and implementation changes

5. Basic DDD Elements (Partial Implementation)

• Domain entities with base classes
• Aggregate roots with domain events
• Basic domain modeling structure

Technologies and Features

Base Technologies

• .NET 10 - Main framework
• ASP.NET Core - APIs and Web services
• Minimal APIs - For simple services and Gateway
• Worker Services - For background processing
• Central Package Management - Unified dependency versioning across solution

Features per Service

Catalog Service

• SQL Server optimized - Unified database with schema separation
• Distributed cache - Prepared for Redis for high performance
• Read-heavy - Optimized for frequent queries
• Repository pattern - Complete EF Core implementation

Booking Service

• SQL Server - For ACID transactions with booking schema
• Concurrency handling - For booking conflicts
• Repository pattern - Complete implementation

Payment Service

• SQL Server - For financial transactions
• Repository pattern - Complete implementation
• Third-party Integration - Ready for Stripe, PayPal, etc.

Notification Service

• Message Queues - Prepared for Azure Service Bus, RabbitMQ
• Email Services - Ready for SendGrid, SMTP
• PDF Generation - Ready for iTextSharp, PdfSharp

Configuration and Execution

Prerequisites

• .NET 10 SDK
• Visual Studio 2022 / VS Code
• SQL Server (for Payment Service)
• SQL Server (unified database with schema separation)

Build Solution

dotnet build

Run Individual Services

Gateway (Port 7000)

cd src/Gateway/JCP.TicketWave.Gateway
dotnet run

Catalog Service (Port 7001)

cd src/Services/JCP.TicketWave.CatalogService
dotnet run

Booking Service (Port 7002)

cd src/Services/JCP.TicketWave.BookingService
dotnet run

Payment Service (Port 7003)

cd src/Services/JCP.TicketWave.PaymentService
dotnet run

Notification Service (Background)

cd src/Services/JCP.TicketWave.NotificationService
dotnet run

Health Checks

• Gateway: https://localhost:7000/health
• Consolidated services: https://localhost:7000/health/services
• Individual services: https://localhost:700X/health

API Documentation

Each service exposes Swagger documentation:

• Gateway: https://localhost:7000/swagger
• Catalog: https://localhost:7001/swagger
• Booking: https://localhost:7002/swagger
• Payment: https://localhost:7003/swagger

Next Steps (Pending Implementations)

1. Persistence Layer

• ✅ Repository Pattern implemented for all services
• ⏳ Redis cache implementation for Catalog Service
• ⏳ Advanced database optimizations

2. Message Queues

• ⏳ Azure Service Bus integration
• ⏳ Event-driven communication between services
• ⏳ Outbox Pattern for transactional consistency

3. Authentication & Authorization

• ⏳ JWT tokens
• ⏳ Identity Service
• ⏳ API Gateway authentication

4. .NET Aspire Integration

• ⏳ Cloud-native orchestration for local development
• ⏳ Service discovery and configuration management
• ⏳ Distributed application dashboard and telemetry
• ⏳ Simplified dependency management between microservices

5. Monitoring & Observability

• ⏳ Application Insights integration
• ⏳ Structured logging with Serilog
• ⏳ Distributed tracing with OpenTelemetry
• ⏳ Health checks and metrics collection

6. Testing Strategy

• ⏳ Unit Tests: Business logic testing for handlers and domain entities
• ⏳ Integration Tests: API endpoint testing with real databases
• ⏳ Repository Tests: Data access layer testing with test containers
• ⏳ Domain Tests: Domain entity and value object validation
• ⏳ Feature Tests: Complete vertical slice testing
• ⏳ Contract Tests: API contract validation between services
• ⏳ Load Tests: High-demand scenarios and performance benchmarks
• ⏳ Stress Tests: System behavior under extreme load
• ⏳ End-to-End Tests: Complete user journey testing
• ⏳ API Tests: REST API validation and response verification
• ⏳ Database Tests: Data consistency and transaction testing
• ⏳ Security Tests: Authentication, authorization, and vulnerability testing
• ⏳ Chaos Tests: Resilience testing with service failures
• ⏳ Smoke Tests: Basic functionality validation in production
• ⏳ Regression Tests: Preventing feature breakdown after changes
• ⏳ Mutation Tests: Code coverage quality validation
• ⏳ Property-Based Tests: Random input validation for edge cases
• ⏳ Architecture Tests: Architectural constraint validation
• ⏳ Snapshot Tests: Output consistency validation
• ⏳ Acceptance Tests: Business requirement validation

7. DevOps & Infrastructure

• ⏳ Docker containers and multi-stage builds
• ⏳ Kubernetes deployment manifests
• ⏳ CI/CD pipelines with GitHub Actions
• ⏳ Infrastructure as Code with Bicep/Terraform

8. Security & Compliance

• ⏳ HTTPS enforcement and certificate management
• ⏳ API rate limiting and throttling
• ⏳ Data encryption at rest and in transit
• ⏳ GDPR compliance for user data

9. Advanced Patterns (Future Implementations)

• ⏳ GraphQL API layer
• ⏳ Result Pattern for error handling
• ⏳ Cache-Aside Pattern for distributed caching
• ⏳ Advanced DDD implementation with rich domain models
• ⏳ Event Sourcing for audit trails

10. Complete Domain-Driven Design Implementation

• ⏳ Rich domain models with business invariants
• ⏳ Value Objects for type safety and validation
• ⏳ Domain Services for cross-aggregate operations
• ⏳ Specification pattern for complex business rules
• ⏳ Domain Events with event handlers
• ⏳ Bounded Context mapping and integration
• ⏳ Anti-corruption layers between contexts
• ⏳ Aggregate design with proper boundaries
• ⏳ Factory pattern for complex object creation
• ⏳ Repository interfaces defined in domain layer
• ⏳ Unit of Work pattern for transaction boundaries
• ⏳ Domain-driven validation and business rules
• ⏳ Ubiquitous language documentation
• ⏳ Event Storming session artifacts
• ⏳ Context mapping documentation

Scalability

The architecture is designed to support high demand:

• Horizontal Scaling: Each service can scale independently
• Database Optimization: NoSQL for reads, SQL for critical transactions
• Caching Strategy: Prepared for Redis for frequently accessed data
• Event-Driven: Asynchronous communication to reduce coupling
• Load Balancing: Gateway as single entry point

Contributing

This project uses development best practices:

• Clean Code principles
• SOLID principles
• Domain Driven Design (DDD) - basic implementation, ready to expand
• Test Driven Development (TDD) - prepared for implementation
• Continuous Integration/Deployment - prepared for implementation