Logging
DeepWiki implements a comprehensive logging system designed for production environments, providing detailed insights into system behavior while maintaining performance and security.Configuration
Environment Variables
Configure DeepWiki’s logging behavior through environment variables:Docker Compose Configuration
Log Levels
DeepWiki uses standard log levels with specific meanings:Debug
Detailed information for diagnosing problems:Info
General informational messages:Warn
Warning messages for potentially harmful situations:Error
Error events that might still allow the application to continue:File Management
Log File Location
Default log file structure:Rotation Configuration
Configure log rotation with environment variables or logrotate:Programmatic Rotation
Docker Logging
Container Logging Strategy
Centralized Logging with Fluentd
Docker Logs Commands
Structured Logging
JSON Log Format
Standard JSON log structure:Custom Log Formatter
Common Debug Patterns
Request Tracking
Database Query Logging
Error Context Logging
Performance Considerations
Asynchronous Logging
Sampling Strategies
Performance Metrics
Security Best Practices
Data Sanitization
Compliance Logging
Log Aggregation
ELK Stack Integration
Prometheus Integration
Monitoring & Alerting
Alert Rules
Health Check Logging
Dashboard Integration
Best Practices
- Use Structured Logging: Always log in JSON format for easy parsing
- Include Context: Add request IDs, user IDs, and session IDs to all logs
- Avoid Blocking: Use asynchronous logging in production
- Sanitize Data: Never log passwords, tokens, or sensitive personal data
- Set Appropriate Levels: Use debug in development, info in production
- Monitor Log Volume: Set up alerts for unusual log volumes
- Implement Retention: Define log retention policies based on compliance needs
- Use Correlation IDs: Track requests across services with unique IDs
- Log Metrics: Include performance data in logs for analysis
- Test Log Output: Verify logs work correctly in all environments