MLOps Training Course - MLOps Training in Bangalore
                     WHY REAL-TIME 
MONITORING IS 
ESSENTIAL IN MLOPS
WHAT IS REAL-TIME 
MONITORING IN MLOPS?
• Continuous tracking of ML models in 
production
• Monitors data, predictions, and system 
health
• Detects issues instantly
• Core pillar of production-grade MLOps
WHY MONITORING MATTERS IN 
MLOPS
• ML models degrade over time
• Real-world data patterns change
• Silent failures impact business decisions
• Monitoring ensures reliability and trust
KEY METRICS TO MONITOR
• Model accuracy and prediction quality
• Data drift and concept drift
• Latency, throughput, and system 
performance
• Input data quality and anomalies
REAL-TIME DRIFT DETECTION
• Detects shifts in data distribution
• Identifies performance degradation early
• Triggers alerts and retraining
• Prevents incorrect predictions
OPERATIONAL BENEFITS
• Faster issue detection and resolution
• Reduced downtime and risk
• Improved user experience
• Supports proactive operations
MONITORING + AUTOMATION
• Automated alerts for anomalies
• Auto-retraining and rollback
• CI/CD integration
• Self-healing ML pipelines
CONCLUSION
• Real-time monitoring is mandatory for 
MLOps
• Ensures accuracy and stability
• Enables scalable AI systems
• Key to successful ML production
CONTACT US
Flat no: 205, 2nd Floor, NILGIRI 
Block, Aditya Enclave, Ameerpet, 
Hyderabad-16
•Mobile No: +91 7032290546
•[email protected]
THANK YOU
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