~/talk

Skein: a simpler way to deploy applications on Hadoop Clusters

Talkat PyData DC 2018 · on Friday, 2018-11-16· [python]
name:Jim Crist
github:jcrist
slides:none on file

Skein is a small library and CLI that actually runs Python apps on Apache YARN by shipping a Java application master that speaks gRPC to Python clients and manages containers; it includes Conda pack and VM pack for moving full environments, an embedded key/value store for coordination, an extensible web UI, and a testing tool called Hadoop test cluster. Demos show scaling, logs, and a working desk yarn integration; teams run TensorFlow on YARN and prototype Ray and Jupyter kernels with it.

AI-written summary · about

  1. 0:00Skein and Hadoop clusters
  2. 2:53Skein in action
  3. 4:18Deploying Python on YARN
  4. 6:00Skein’s declarative spec
  5. 7:53Skein and YARN clusters
  6. 9:20Key features of Skein
  7. 11:03Python environments for YARN
  8. 13:13Conda with PySpark
  9. 14:38Skein’s key-value store
  10. 16:46Skein’s web UI
  11. 18:10Testing YARN apps
  12. 20:21Desk Yarn for Python
  13. 21:26Skein future work
  14. 22:49Summary of Skein
  15. 23:31Q&A: Conda Pack with Hadoop
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