MLOps Pipeline Demo

Experience end-to-end machine learning operations with automated pipelines, model monitoring, and continuous deployment for reliable AI at scale.

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Model Lifecycle Management

Complete MLOps platform with automated CI/CD pipelines, model versioning, performance monitoring, and governance for enterprise AI deployments.

Model Deployment Pipeline

Automated ML lifecycle management

Fraud Detection Model v2.1
v2.1.4
Production
97.3% Accuracy
Latency: 45msDeployed: 2024-01-20
Throughput: 1250 req/sError Rate: 0.02%
Recommendation Engine v3.0
v3.0.2
Staging
94.8% Accuracy
Latency: 120msDeployed: 2024-01-18
Throughput: 890 req/sError Rate: 0.05%
Customer Churn Predictor v1.8
v1.8.1
Testing
91.5% Accuracy
Latency: 78msDeployed: 2024-01-15
Throughput: 650 req/sError Rate: 0.08%
Image Classification API v4.2
v4.2.0
Development
96.1% Accuracy
Latency: 200msDeployed: 2024-01-10
Throughput: 320 req/sError Rate: 0.12%

Model Performance Analytics

Select a model to view detailed performance analytics

MLOps Performance Metrics

99.8%
Model Uptime
4.2min
Deployment Time
96%
Test Coverage
2.1x
Development Speed