Tag: MLOps
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FastAPI Model Serving: 5 Steps to 50ms Inference
Cut FastAPI model inference from 800ms to 47ms with 5 changes: lifespan handlers, warmup, ThreadPoolExecutor, Pydantic validation, and response models.
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MLflow Experiment Tracking: Portfolio Project in 30 Min
Build a real MLflow experiment tracking portfolio in 30 min: 40+ logged runs, CV metrics, model registry, and a live UI โ not a toy notebook screenshot.
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Docker vs Kubernetes for First ML Model: When to Use Each
Deploy ML models with Docker for simplicity or Kubernetes for scale. Learn when each tool fits your workflow and avoid common pitfalls.
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DVC vs MLflow vs W&B: Which Saves More Debug Hours?
Tested DVC, MLflow, and W&B on real projects. Here's which breaks first, what actually costs money, and the hybrid setup that works.
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MLOps Cheat Sheet: 12 Production Patterns You’ll Use
12 MLOps patterns from production systems: feature caching, traffic shadowing, schema validation. Real code, not theory.
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W&B Artifacts and Team Collaboration: Model Version Control
W&B Artifacts version models like Git commits. Real lineage tracking, team workflows, and the one metadata trick that saved a 3AM rollback.
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W&B Sweeps: Bayesian vs Grid Search Benchmark (ResNet-18)
Bayesian search hit 91% in 28 runs. Grid needed 64. Real benchmarks, ResNet-18, CIFAR-10โsee which strategy wins.
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ML Experiment Tracking with W&B: Lessons from 50 Failed Runs
W&B cuts experiment chaos in half โ but only if you log the right metrics. Here's what 50 runs taught me.