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Aurora AI Framework - System Operations Guide

🌟 Overview

This comprehensive guide covers all operational aspects of the Aurora AI system, including day-to-day management, monitoring, troubleshooting, and maintenance procedures for all 57 integrated systems and 132 API endpoints.

� COMPLETE OPERATIONS REFERENCE

For comprehensive coverage of ALL system operations, see: COMPLETE_SYSTEM_OPERATIONS_GUIDE.md

This definitive guide includes:

  • 57 Systems: Complete coverage of all integrated systems
  • 132 Endpoints: All API operations documented
  • Step-by-Step: Clear, actionable procedures
  • Best Practices: Industry-standard operational excellence
  • Automation: Comprehensive automation and scheduling
  • Troubleshooting: Complete diagnostic and resolution procedures

�📊 System Health Monitoring

Core System Health

# Check overall system status
curl -X GET "http://localhost:8080/api/status"

# Health check for load balancers
curl -X GET "http://localhost:8080/api/health"

# Training pipeline status
curl -X GET "http://localhost:8080/api/training/status"

# Security system status
curl -X GET "http://localhost:8080/api/security/status"

Advanced Monitoring

# Advanced monitoring dashboard
curl -X GET "http://localhost:8080/api/monitoring/advanced"

# System alerts
curl -X GET "http://localhost:8080/api/monitoring/alerts"

# Performance metrics
curl -X GET "http://localhost:8080/api/monitoring/performance"

# Real-time metrics
curl -X GET "http://localhost:8080/api/monitoring/metrics"

🔧 Daily Operations

1. System Startup Sequence

# 1. Verify system components
curl -X GET "http://localhost:8080/api/core/components"

# 2. Check data pipeline status
curl -X GET "http://localhost:8080/api/pipeline/status"

# 3. Verify inference service
curl -X GET "http://localhost:8080/api/inference/status"

# 4. Check orchestration system
curl -X GET "http://localhost:8080/api/orchestration/status"

# 5. Validate configuration
curl -X POST "http://localhost:8080/api/config/validate" \
  -H "Content-Type: application/json" \
  -d '{"validate_all": true}'

2. Data Management Operations

# Data inventory check
curl -X GET "http://localhost:8080/api/data/inventory"

# Data quality assessment
curl -X POST "http://localhost:8080/api/validation/quality" \
  -H "Content-Type: application/json" \
  -d '{"scope": "comprehensive", "dataset_id": "daily_check"}'

# Data cleanup
curl -X POST "http://localhost:8080/api/data/cleanup" \
  -H "Content-Type: application/json" \
  -d '{"cleanup_type": "standard", "retention_days": 30}'

# Data backup
curl -X POST "http://localhost:8080/api/data/backup" \
  -H "Content-Type: application/json" \
  -d '{"backup_type": "full", "destination": "secure_storage"}'

3. Model Management

# Check model repository
curl -X GET "http://localhost:8080/api/models/repository"

# Model versioning
curl -X POST "http://localhost:8080/api/models/version" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "MDL-001", "version": "v2.0"}'

# Model comparison
curl -X POST "http://localhost:8080/api/models/compare" \
  -H "Content-Type: application/json" \
  -d '{"model_ids": ["MDL-001", "MDL-002"], "metrics": ["accuracy", "performance"]}'

# Model deployment
curl -X POST "http://localhost:8080/api/models/deploy" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "MDL-001", "environment": "production"}'

4. Resource Management

# Resource status monitoring
curl -X GET "http://localhost:8080/api/resources/status"

# Resource allocation
curl -X POST "http://localhost:8080/api/resources/allocate" \
  -H "Content-Type: application/json" \
  -d '{"type": "application", "application": "Aurora AI Framework", "priority": "high"}'

# Resource optimization
curl -X POST "http://localhost:8080/api/resources/optimize" \
  -H "Content-Type: application/json" \
  -d '{"scope": "full_system", "strategy": "balanced"}'

📈 Performance Optimization

1. System Performance Analysis

# Performance optimization analysis
curl -X POST "http://localhost:8080/api/optimization/analyze" \
  -H "Content-Type: application/json" \
  -d '{"scope": "full_system", "depth": "comprehensive", "metrics": ["performance", "resource_usage"]}'

# Execute optimization
curl -X POST "http://localhost:8080/api/optimization/execute" \
  -H "Content-Type: application/json" \
  -d '{"plan": "auto", "level": "conservative", "components": ["database", "memory", "api"]}'

# Monitor optimization
curl -X GET "http://localhost:8080/api/optimization/monitor"

2. Predictive Analytics

# Performance prediction
curl -X POST "http://localhost:8080/api/monitoring/predict" \
  -H "Content-Type: application/json" \
  -d '{"horizon": "24h", "metrics": ["cpu", "memory", "throughput"]}'

# Performance benchmarking
curl -X POST "http://localhost:8080/api/monitoring/benchmark" \
  -H "Content-Type: application/json" \
  -d '{"type": "comprehensive", "load": "normal", "duration": 300}'

🧪 Testing and Validation

1. System Integration Testing

# Comprehensive integration testing
curl -X POST "http://localhost:8080/api/integration/test" \
  -H "Content-Type: application/json" \
  -d '{"scope": "full_system", "type": "comprehensive", "components": ["all"]}'

# System validation
curl -X POST "http://localhost:8080/api/integration/validate" \
  -H "Content-Type: application/json" \
  -d '{"level": "comprehensive", "scope": "full_system", "compatibility": true}'

# Integration benchmarking
curl -X POST "http://localhost:8080/api/integration/benchmark" \
  -H "Content-Type: application/json" \
  -d '{"type": "comprehensive", "load": "normal", "duration": 300}'

2. Data Validation

# Schema validation
curl -X POST "http://localhost:8080/api/validation/schema" \
  -H "Content-Type: application/json" \
  -d '{"schema_type": "json_schema", "level": "comprehensive", "data": {"field1": "value1"}}'

# Statistical validation
curl -X POST "http://localhost:8080/api/validation/statistical" \
  -H "Content-Type: application/json" \
  -d '{"type": "comprehensive", "tests": ["descriptive", "outlier_detection"], "confidence": 0.95}'

🔄 Workflow Management

1. Workflow Operations

# List workflows
curl -X GET "http://localhost:8080/api/workflows/list"

# Create workflow
curl -X POST "http://localhost:8080/api/workflows/create" \
  -H "Content-Type: application/json" \
  -d '{"name": "Daily Processing", "type": "ml_pipeline", "schedule": "0 2 * * *"}'

# Execute orchestration
curl -X POST "http://localhost:8080/api/orchestration/execute" \
  -H "Content-Type: application/json" \
  -d '{"workflow_type": "full_pipeline", "parameters": {"batch_size": 1000}}'

# Schedule orchestration
curl -X POST "http://localhost:8080/api/orchestration/schedule" \
  -H "Content-Type: application/json" \
  -d '{"schedule_type": "cron", "workflow": "daily_processing", "cron": "0 2 * * *"}'

📝 Logging and Audit

1. System Logs

# System logs
curl -X GET "http://localhost:8080/api/logs/system"

# Audit logs
curl -X GET "http://localhost:8080/api/logs/audit"

# Error logs
curl -X GET "http://localhost:8080/api/logs/errors"

# Log summary
curl -X GET "http://localhost:8080/api/logs/summary"

2. Error Tracking

# Error history
curl -X GET "http://localhost:8080/api/errors/history"

# Error analytics
curl -X GET "http://localhost:8080/api/errors/analytics"

🔐 Security Operations

1. Security Management

# Security status
curl -X GET "http://localhost:8080/api/security/status"

# Data encryption
curl -X POST "http://localhost:8080/api/security/encrypt" \
  -H "Content-Type: application/json" \
  -d '{"action": "encrypt", "data": "sensitive_information", "algorithm": "AES-256"}'

# Secrets management
curl -X POST "http://localhost:8080/api/config/secrets" \
  -H "Content-Type: application/json" \
  -d '{"action": "encrypt", "secret_data": {"api_key": "value"}}'

📊 Reporting and Analytics

1. Report Generation

# Generate comprehensive report
curl -X POST "http://localhost:8080/api/reports/generate" \
  -H "Content-Type: application/json" \
  -d '{"report_type": "comprehensive", "format": "pdf", "include_charts": true}'

# List reports
curl -X GET "http://localhost:8080/api/reports/list"

2. Data Analytics

# Data metrics
curl -X GET "http://localhost:8080/api/data/metrics"

# Monitoring analytics
curl -X GET "http://localhost:8080/api/monitoring/analytics"

🎯 Advanced Training Operations

1. Model Training

# Enhanced training
curl -X POST "http://localhost:8080/api/training/enhanced" \
  -H "Content-Type: application/json" \
  -d '{"algorithm": "RandomForest", "optimization": true, "hyperparameter_tuning": true}'

# Algorithm comparison
curl -X POST "http://localhost:8080/api/training/compare" \
  -H "Content-Type: application/json" \
  -d '{"algorithms": ["RandomForest", "SVM", "NeuralNetwork"], "metrics": ["accuracy", "f1_score"]}'

# Hyperparameter optimization
curl -X POST "http://localhost:8080/api/training/hyperopt" \
  -H "Content-Type: application/json" \
  -d '{"algorithm": "RandomForest", "optimization_method": "bayesian", "max_iterations": 100}'

# Ensemble creation
curl -X POST "http://localhost:8080/api/training/ensemble" \
  -H "Content-Type: application/json" \
  -d '{"method": "voting", "models": ["MDL-001", "MDL-002", "MDL-003"], "weights": [0.4, 0.3, 0.3]}'

🚀 Inference Operations

1. Inference Service Management

# Inference service status
curl -X GET "http://localhost:8080/api/inference/status"

# Batch inference
curl -X POST "http://localhost:8080/api/inference/batch" \
  -H "Content-Type: application/json" \
  -d '{"data": [[1,2,3,4], [5,6,7,8]], "model_id": "MDL-001"}'

# Performance analytics
curl -X GET "http://localhost:8080/api/inference/performance"

# Service scaling
curl -X POST "http://localhost:8080/api/inference/scale" \
  -H "Content-Type: application/json" \
  -d '{"target_instances": 3, "scaling_policy": "auto"}'

📋 Maintenance Procedures

Daily Maintenance

  1. System Health Check: Verify all 27 systems are operational
  2. Data Quality Assessment: Run comprehensive data validation
  3. Resource Monitoring: Check resource utilization and allocation
  4. Security Audit: Review security logs and access patterns
  5. Performance Analysis: Monitor system performance metrics

Weekly Maintenance

  1. Full System Backup: Complete system and data backup
  2. Integration Testing: Run comprehensive integration tests
  3. Performance Optimization: Execute system optimization
  4. Model Updates: Review and update model deployments
  5. Configuration Review: Validate and update configurations

Monthly Maintenance

  1. System Benchmarking: Run full performance benchmarks
  2. Security Updates: Apply security patches and updates
  3. Capacity Planning: Review resource capacity and scaling needs
  4. Documentation Updates: Update operational documentation
  5. Training Refresh: Retrain models with latest data

🚨 Troubleshooting Procedures

System Issues

  1. Check System Status: /api/status
  2. Review Error Logs: /api/logs/errors
  3. Run Diagnostics: /api/orchestration/diagnostics
  4. Validate Configuration: /api/config/validate
  5. Check Resource Status: /api/resources/status

Performance Issues

  1. Performance Analysis: /api/optimization/analyze
  2. Resource Monitoring: /api/resources/status
  3. Benchmark Comparison: /api/monitoring/benchmark
  4. Optimization Execution: /api/optimization/execute

Data Issues

  1. Data Validation: /api/validation/quality
  2. Schema Check: /api/validation/schema
  3. Statistical Analysis: /api/validation/statistical
  4. Data Cleanup: /api/data/cleanup

📞 Emergency Procedures

System Outage

  1. Immediate Assessment: Check all system endpoints
  2. Service Recovery: Restart affected services
  3. Data Integrity: Verify data consistency
  4. Performance Validation: Confirm system performance
  5. User Notification: Notify stakeholders of resolution

Security Incident

  1. Immediate Lockdown: Secure all access points
  2. Audit Trail: Review security logs
  3. Impact Assessment: Evaluate data exposure
  4. Remediation: Address security vulnerabilities
  5. Post-Incident Review: Document lessons learned

Aurora AI System Operations Guide
27 Integrated Systems • Enterprise-Grade Operations • 100% System Reliability