Sandip Das

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100 Days of MLOpsMLOps ML

Prometheus and Grafana for ML System Monitoring

Instrument Your FastAPI Model Server, Scrape It With Prometheus, and Build a Grafana Dashboard for Request Rate and Latency in One Docker Compose Stack.

100 Days of MLOpsMLOps ML

Week 6 Review: Data Quality and Monitoring Foundations

Wire Validation, Drift Checks, and a Monitoring Plan Into One Pipeline That Refuses to Train on Bad Data.

100 Days of MLOpsMLOps ML

Introduction to Model Monitoring Concepts

Know Exactly What to Watch in Production: Data Quality, Drift, Model Performance, and System Health, Each With a Threshold and an Owner.

100 Days of MLOpsMLOps ML

Data Drift Detection Fundamentals

Catch Production Data Drifting Away From Your Training Data With KS, PSI, and Chi-Squared Tests Before Accuracy Quietly Drops.

100 Days of MLOpsMLOps ML

Data Validation with Great Expectations

Write Your Data Assumptions as Tests, Run Them on Every Batch, and Stop the Pipeline When They Break.

100 Days of MLOpsMLOps ML

Feast Online Store and Real-Time Feature Serving

Serve Feast Features in Milliseconds, Keep Them Fresh, and Wire Them Into Your FastAPI Model at Inference Time.