6. Runtime View
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6. Runtime View
6.1 Important Scenarios
This section describes the dynamic behavior of BookWorm through key runtime scenarios, showing how the building blocks interact to fulfill important use cases.
6.2 Book Purchase Scenario
Complete Order Processing Flow
Key Runtime Aspects
- Basket to Order Transition: Atomic conversion ensuring data consistency
- Book Availability: Verification of catalog items during order processing
- Financial Processing: Integration with finance service for transactions
- Event-Driven Notifications: Asynchronous email and cleanup processes
- Error Handling: Saga pattern for rollback on failures
6.3 Book Search and Discovery
AI-Enhanced Search Flow
Search Performance Optimizations
- Multi-level Caching: Redis cache for frequently searched terms
- Vector Search: AI embeddings for semantic similarity
- Hybrid Search: Combination of text and vector search
- Real-time Indexing: Immediate search index updates for new books
6.4 Real-time Chat Scenario
Customer Support Chat Flow
Chat System Features
- Real-time Messaging: SignalR for instant message delivery
- AI Triage: Automatic classification of customer inquiries
- Agent Routing: Intelligent assignment to available support agents
- Message Persistence: MongoDB for chat history storage
- Presence Indicators: Real-time user status updates
6.5 Event-Driven Architecture Flow
Cross-Service Event Processing
Event Processing Patterns
Pattern | Implementation | Purpose |
---|---|---|
Outbox Pattern | Database transaction + event publishing | Ensures reliable event publishing |
Inbox Pattern | Idempotent event processing | Prevents duplicate processing |
Event Sourcing | Events as source of truth | Provides audit trail and temporal queries |
Saga Orchestration | Centralized workflow coordination | Manages complex business processes |
Saga Choreography | Decentralized event reactions | Enables loose coupling between services |
6.6 System Startup and Health Monitoring
Service Discovery and Health Checks
Observability and Monitoring
- Distributed Tracing: OpenTelemetry for request correlation across services
- Structured Logging: Serilog with correlation IDs and contextual information
- Metrics Collection: Prometheus-compatible metrics for performance monitoring
- Health Dashboards: Real-time system health visualization
- Alerting: Automated alerts for critical system issues
6.7 Error Handling and Recovery
Circuit Breaker Pattern Implementation
Resilience Strategies
Strategy | Implementation | Use Case |
---|---|---|
Retry Policies | Exponential backoff with jitter | Transient failures |
Circuit Breakers | Polly library integration | Cascading failure prevention |
Timeouts | Configurable per operation | Resource protection |
Bulkhead Isolation | Separate thread pools | Fault isolation |
Graceful Degradation | Fallback responses | Service unavailability |