This system demonstrates several key architectural and design patterns for building scalable, concurrent, and distributed applications.
- Separates read and write operations using distinct models
- Commands represent write operations
- Results encapsulate operation outcomes
- Implements high-performance order processing using System.Threading.Channels
- Bounded channels prevent memory exhaustion under load
- Multiple background workers process orders concurrently
- Back-pressure mechanism automatically throttles producers when queue is full
- Implements request-level concurrency limiting using SemaphoreSlim
- Prevents thread pool starvation by rejecting requests when at capacity
- Provides fair queuing (FIFO) and async/await support
- Controls simultaneous in-flight requests (concurrency limiting vs. rate limiting)
- Uses atomic operations (Interlocked methods) for thread-safe inventory management
- Implements Compare-And-Swap (CAS) patterns for non-blocking operations
- Employs volatile reads for consistent memory visibility across threads
- Utilizes spin-wait strategies to reduce CPU usage during contention
- Implements distributed locking mechanism with automatic expiry to prevent deadlocks
- Uses lock IDs and expiry timestamps to coordinate across multiple service instances
- Provides critical section protection in distributed systems
- Essential for idempotency in payment processing and inventory management
- Proper resource cleanup using IAsyncDisposable
- Ensures locks and other resources are released even during exceptions
- Interface-based service design allowing different implementations
- Dependency injection for loose coupling between components
+### Aggregate Pattern +- Encapsulates domain logic within cohesive objects +- Maintains business invariants and consistency boundaries
+- Simulates extreme contention scenarios to validate thread-safety +- Tests overselling prevention under high concurrent load +- Validates lock-free operations with multiple competing threads