~/talk

Deploying Dask

Talkat PyData NYC 2022 · 2022-11-09..11-11· [devops-and-delivery]
slides:none on file

Deploying Dask is messy but solvable: an Optuna + XGBoost demo requires a MySQL replacement, spins up 20 machines on AWS, and surfaces a profile where 97% overhead hides the 3% training work. Real fixes use concrete tools: dask-gateway, dask-kubernetes, helm charts, dask-cloudprovider, or managed options like Coiled, Saturn, QHub, EMR/Dataproc. Key points are reproducible software shipping, secure network/auth, logs/telemetry for debugging, and spot vs on‑demand cost policies that actually reduce bills.

AI-written summary · about

  1. 0:00Introduction
  2. 1:49Dask deployment challenges
  3. 9:16Borrowing machines and clusters
  4. 13:06Software installation across systems
  5. 16:38Network access and security
  6. 19:04Observability and debugging
  7. 23:58Cost management and optimization
  8. 25:41Dask deployment solutions: Nabari, Saturn, Kubeflow
  9. 29:32Coiled platform for Dask
  10. 35:09Summary
  11. 36:13Q&A
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