Exception Handling
The BookWorm application implements a comprehensive exception handling strategy that provides consistent error responses, proper logging, and graceful degradation across all microservices.
Exception Architecture
Exception Hierarchy
- Custom Domain Exceptions - Business rule violations and domain-specific errors
- Validation Exceptions - Input validation and constraint violations
- Infrastructure Exceptions - Database, messaging, and external service errors
- Security Exceptions - Authentication and authorization failures
- System Exceptions - Unexpected system-level errors
Exception Handling Middleware
- Global Exception Handler - Centralized exception processing
- Error Response Standardization - Consistent error format across APIs
- Correlation ID Tracking - Error tracing across distributed services
- Sensitive Data Filtering - Prevent sensitive information leakage
Exception Categories
Business Exceptions
- Domain Rule Violations - Business logic constraint failures
- Entity Not Found - Resource lookup failures
- Validation Failures - Business rule validation errors
- Concurrency Conflicts - Optimistic locking and versioning errors
Technical Exceptions
- Database Exceptions - Connection, query, and transaction failures
- Network Exceptions - Service communication and timeout errors
- Serialization Exceptions - JSON/XML processing errors
- Configuration Exceptions - Missing or invalid configuration
Security Exceptions
- Authentication Failures - Invalid credentials or expired tokens
- Authorization Failures - Insufficient permissions for operations
- Input Validation Failures - Malicious or malformed input detection
- Rate Limiting Violations - Request throttling and abuse prevention
Error Response Format
Standardized Error Structure
- Error Code - Unique identifier for error type
- Error Message - Human-readable error description
- Details - Additional context and troubleshooting information
- Timestamp - When the error occurred
- Correlation ID - Request tracking identifier
HTTP Status Code Mapping
- 400 Bad Request - Client input validation errors
- 401 Unauthorized - Authentication required or failed
- 403 Forbidden - Authorization denied for authenticated user
- 404 Not Found - Resource not found or access denied
- 409 Conflict - Business rule violations or concurrency conflicts
- 422 Unprocessable Entity - Semantic validation errors
- 429 Too Many Requests - Rate limiting exceeded
- 500 Internal Server Error - Unexpected system errors
- 503 Service Unavailable - External dependency failures
Resilience Patterns
Retry Mechanisms
- Exponential Backoff - Progressive retry delays with jitter
- Circuit Breaker - Prevent cascading failures in distributed systems
- Timeout Handling - Request timeout configuration and fallback
- Dead Letter Queue - Failed message handling and reprocessing
Fallback Strategies
- Graceful Degradation - Reduced functionality when services are unavailable
- Default Responses - Sensible defaults when data is unavailable
- Cache Fallback - Serve stale data when primary sources fail
- Service Mesh Integration - External resilience patterns
Logging and Monitoring
Exception Logging
- Structured Logging - Consistent exception log format
- Log Level Classification - Appropriate severity levels for different errors
- Context Preservation - Maintain request context in exception logs
- Performance Impact - Minimize logging overhead in high-throughput scenarios
Monitoring and Alerting
- Error Rate Metrics - Track exception frequency and trends
- Error Classification - Categorize errors by type and severity
- Performance Impact - Monitor exception handling performance
- Alert Thresholds - Automated alerting for critical error patterns
Validation Framework
FluentValidation Integration
- Input Validation - Request model validation with custom rules
- Business Rule Validation - Domain-specific validation logic
- Cross-Field Validation - Complex validation scenarios
- Localization Support - Multi-language error messages
Validation Patterns
- Early Validation - Fail fast at API boundaries
- Pipeline Validation - Multi-stage validation in CQRS pipelines
- Conditional Validation - Context-dependent validation rules
- Async Validation - External service validation (e.g., uniqueness checks)
Best Practices
Exception Design
- Specific Exception Types - Create meaningful exception hierarchies
- Immutable Exceptions - Exception objects should be immutable
- Rich Context - Include relevant context in exception messages
- Localization - Support multiple languages for user-facing errors
Error Handling Guidelines
- Don't Swallow Exceptions - Always log and handle exceptions appropriately
- Use Finally Blocks - Ensure resource cleanup in exception scenarios
- Avoid Generic Catches - Handle specific exception types when possible
- Performance Considerations - Exception handling should not impact normal flow performance