Logging & Monitoring

CoAI.Dev provides a comprehensive logging system that helps administrators monitor system health, troubleshoot issues, and analyze platform usage. The logging infrastructure captures detailed information about system operations, user activities, and performance metrics.

Overview

The logging system offers:

• 📝 Comprehensive Logging: Automatic capture of system events, user activities, and errors
• 🔍 Advanced Filtering: Multi-dimensional filtering by date, level, keywords, and categories
• 📊 Real-time Monitoring: Live log viewing for immediate system status monitoring
• 📈 Built-in Analysis: Automated log analysis with statistical reports and anomaly detection
• 📁 Organized Storage: Date-based log organization with configurable retention policies
• 💾 Export Capabilities: Export logs for external analysis and archival

Log Categories and Levels

Log Levels

[2024-01-20 10:30:15] INFO: System startup completed successfully
[2024-01-20 10:31:02] WARNING: High memory usage detected (85%)
[2024-01-20 10:32:45] ERROR: Database connection timeout
[2024-01-20 10:33:12] CRITICAL: Redis cluster unavailable

Log Management Interface

Admin Dashboard

The logging interface provides comprehensive tools for log management:

Advanced Filtering

Multi-Dimensional Filtering:

{
  "filters": {
    "date_range": {
      "start": "2024-01-20T00:00:00Z",
      "end": "2024-01-20T23:59:59Z"
    },
    "log_levels": ["ERROR", "CRITICAL"],
    "components": ["channel_manager", "billing_service"],
    "keywords": ["timeout", "connection"],
    "user_id": "user_12345",
    "ip_address": "192.168.1.*"
  }
}

Saved Filter Presets:

• Common troubleshooting scenarios
• Security event monitoring
• Performance analysis filters
• Custom administrator presets

Log Analysis and Reporting

Built-in Analysis Tools

Automated Analysis Features:

• Error Trend Analysis: Identify patterns in system errors
• Performance Degradation Detection: Automatic alerts for slowdowns
• User Behavior Analysis: Usage patterns and anomaly detection
• Security Event Correlation: Identify potential security threats
• Resource Usage Predictions: Forecasting based on historical data

Analysis Configuration:

{
  "analysis_settings": {
    "error_threshold": 10,
    "performance_baseline": "7_day_average",
    "anomaly_detection": true,
    "correlation_window": "1_hour",
    "alert_recipients": ["admin@company.com"]
  }
}

Statistical Reports

Automated Reporting:

• Daily system health summaries
• Weekly performance trend reports
• Monthly user activity analytics
• Quarterly security audit reports
• Custom report schedules

Report Formats:

• HTML dashboards with interactive charts
• PDF reports for executive summaries
• CSV data exports for analysis
• JSON data for API integration

Anomaly Detection

Intelligent Monitoring:

{
  "anomaly_detection": {
    "enabled": true,
    "detection_methods": [
      "statistical_outliers",
      "machine_learning_based",
      "rule_based_thresholds"
    ],
    "sensitivity": "medium",
    "alert_threshold": 0.8,
    "learning_period": "14_days"
  }
}

Alert Configurations:

• Real-time notifications for critical issues
• Escalation procedures for unresolved alerts
• Integration with external monitoring systems
• Custom alert rules and thresholds

Log Storage and Retention

Storage Configuration

File Organization:

logs/
├── 2024-01-20/
│   ├── system.log
│   ├── application.log
│   ├── user_activity.log
│   └── performance.log
├── 2024-01-21/
│   └── ...
└── archived/
    ├── 2023-12/
    └── 2024-01/

Storage Settings:

{
  "log_storage": {
    "base_directory": "/var/log/chatnio",
    "rotation_schedule": "daily",
    "compression": "gzip",
    "retention_period": "90_days",
    "archive_storage": "s3://backup-bucket/logs",
    "max_file_size": "100MB"
  }
}

Retention Policies

Automated Cleanup:

• Configurable retention periods by log type
• Automatic archival to cold storage
• Compressed storage for historical logs
• Compliance with data retention regulations

Retention Configuration:

{
  "retention_policies": {
    "system_logs": "90_days",
    "user_activity": "365_days",
    "security_events": "2555_days", // 7 years
    "performance_metrics": "30_days",
    "debug_logs": "7_days"
  }
}

Backup and Archival

Backup Strategies:

• Regular automated backups to external storage
• Incremental backup for large log volumes
• Cross-region backup for disaster recovery
• Encrypted backup for sensitive log data

Integration and APIs

External Log Management

Integration Options:

• ELK Stack: Elasticsearch, Logstash, Kibana integration
• Splunk: Enterprise log management and analysis
• Datadog: Cloud-based monitoring and logging
• New Relic: Application performance monitoring
• Grafana: Visualization and alerting platform

Log Forwarding Configuration:

{
  "log_forwarding": {
    "enabled": true,
    "destinations": [
      {
        "type": "elasticsearch",
        "endpoint": "https://es-cluster.company.com",
        "index_pattern": "chatnio-logs-%{+YYYY.MM.dd}",
        "auth": {"username": "loguser", "password": "..."}
      },
      {
        "type": "webhook",
        "url": "https://monitoring.company.com/webhook",
        "format": "json",
        "batch_size": 100
      }
    ]
  }
}

API Access

Log Query API:

# Get recent logs
GET /api/admin/logs?level=ERROR&hours=24
 
# Search logs
POST /api/admin/logs/search
{
  "query": "database timeout",
  "filters": {
    "component": "database",
    "level": ["ERROR", "CRITICAL"]
  }
}
 
# Export logs
POST /api/admin/logs/export
{
  "date_range": {
    "start": "2024-01-20T00:00:00Z",
    "end": "2024-01-20T23:59:59Z"
  },
  "format": "json"
}

Monitoring and Alerting

Real-Time Monitoring

Live Monitoring Features:

• Real-time log streaming interface
• System health status indicators
• Active user and session counters
• Resource utilization dashboards
• Error rate and performance metrics

Monitoring Dashboard:

{
  "dashboard_config": {
    "refresh_interval": "30_seconds",
    "widgets": [
      "system_health",
      "active_users",
      "error_rates",
      "response_times",
      "resource_usage"
    ],
    "alert_indicators": true,
    "historical_trends": "24_hours"
  }
}

Alert Configuration

Alert Rules:

{
  "alert_rules": [
    {
      "name": "High Error Rate",
      "condition": "error_rate > 5% over 5 minutes",
      "severity": "critical",
      "recipients": ["ops-team@company.com"],
      "escalation": "manager@company.com after 15 minutes"
    },
    {
      "name": "Database Slow Queries",
      "condition": "avg_query_time > 2 seconds over 10 minutes",
      "severity": "warning",
      "recipients": ["dev-team@company.com"]
    }
  ]
}

Notification Channels:

• Email notifications with detailed context
• Slack/Teams integration for team alerts
• SMS notifications for critical issues
• PagerDuty integration for on-call management
• Webhook notifications for custom integrations

Security and Compliance

Security Considerations

Log Security:

• Encrypted log storage and transmission
• Access control for sensitive log data
• Audit trails for log access and modifications
• Secure log forwarding with authentication
• Regular security audits of logging infrastructure

Security Configuration:

{
  "security_settings": {
    "encryption_at_rest": true,
    "encryption_in_transit": true,
    "access_control": "role_based",
    "audit_log_access": true,
    "sensitive_data_masking": true,
    "secure_forwarding": true
  }
}

Compliance Features

Regulatory Compliance:

• GDPR compliance with data anonymization
• HIPAA compliance for healthcare data
• SOX compliance for financial records
• PCI DSS compliance for payment data
• Custom compliance rules and policies

Compliance Reporting:

• Automated compliance reports
• Audit trail generation
• Data retention compliance
• Right to be forgotten implementation
• Regular compliance assessments

Best Practices

Logging Strategy

Effective Logging Practices:

• Structured Logging: Use consistent log formats (JSON)
• Appropriate Levels: Use correct log levels for different events
• Contextual Information: Include relevant context in log entries
• Performance Consideration: Balance detail with performance impact
• Security Awareness: Avoid logging sensitive information

Log Format Standards:

{
  "timestamp": "ISO8601 format",
  "level": "INFO|WARNING|ERROR|CRITICAL|DEBUG",
  "component": "service_or_module_name",
  "event": "specific_event_type",
  "user_id": "optional_user_identifier",
  "session_id": "optional_session_identifier",
  "details": {
    "key": "value",
    "additional": "context"
  }
}

Performance Optimization

Logging Performance:

• Asynchronous logging to avoid blocking operations
• Log rotation to manage file sizes
• Compression for historical logs
• Efficient indexing for search operations
• Regular cleanup of old log files

Troubleshooting with Logs

Common Troubleshooting Scenarios:

• User authentication failures
• API timeout issues
• Database connection problems
• Payment processing errors
• File upload failures

Debugging Workflow:

1. Identify the issue timeline
2. Filter logs by relevant time range
3. Search for error patterns
4. Correlate events across components
5. Analyze root cause and implement fixes

Comprehensive logging is essential for maintaining a reliable and secure CoAI.Dev platform. Continue with Caching Configuration to optimize performance, or explore Advanced Features for enterprise-grade capabilities.