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ML Model Deployment Platform
MLOps pipeline using MLflow for experiment tracking and model registry, FastAPI serving with canary deployment, Kubernetes manifests, and Prometheus/Grafana monitoring.
Overview
Complete ML deployment platform with experiment tracking, model registry, and production monitoring.
Architecture
- MLflow for experiment tracking and model registry
- FastAPI model serving endpoints
- Canary deployment simulation
- Kubernetes manifests for orchestration
- Prometheus/Grafana monitoring stack
Key Features
- Experiment tracking and comparison
- Model versioning and registry
- Canary deployment with traffic splitting
- Real-time performance monitoring