The Modern AI App Stack: 6 Layers from Data to Monitoring for GenAI Products
goyalshaliniuk · x · 2026-07-30
Shalini Goyal outlines the modern AI app stack for building GenAI products, covering 6 layers: 1) Data Layer with Snowflake, BigQuery, Postgres, Airflow, dbt; 2) Model Development with PyTorch, TensorFlow, HuggingFace, Scikit-learn, experiment tracking via MLflow or Weights & Biases; 3) Model Versioning & Packaging with MLflow, BentoML, Docker, ONNX; 4) Deployment & Serving with FastAPI, Flask, Triton, TorchServe, automated by GitHub Actions and Jenkins; 5) MLOps Infrastructure with Kubernetes, Kubeflow, Flyte; 6) Monitoring & Observability with WhyLabs, Prometheus, Grafana.
Related event: A Breakdown of the Modern GenAI Application Stack(2 posts)→
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