Building Dynamic Machine Learning Pipelines with KubeDirector

Building Dynamic Machine Learning Pipelines with KubeDirector

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

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Building Dynamic Machine Learning Pipelines with KubeDirector

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  1. 1 Introduction
  2. 2 Overview
  3. 3 Application types
  4. 4 Stateful application
  5. 5 KubeDirector operator
  6. 6 Basic machine learning pipeline
  7. 7 KubeDirector Application
  8. 8 Green Blocks
  9. 9 Example Pipeline
  10. 10 KubeDirector Cluster
  11. 11 Connection
  12. 12 Training App
  13. 13 ML Training
  14. 14 Jupyter Notebook
  15. 15 Connections
  16. 16 What is the Jupiter Notebook
  17. 17 What is the Jupiter Lab
  18. 18 Building the pipeline
  19. 19 Config map
  20. 20 Cons
  21. 21 Deployment
  22. 22 Connection feature
  23. 23 Running the pipeline
  24. 24 Whats next
  25. 25 Contact us
  26. 26 Stateful vs stateless
  27. 27 Questions
  28. 28 Why dont you handle that one
  29. 29 What is ECM
  30. 30 What is Spark Operator
  31. 31 Questions and comments
  32. 32 Service Mesh
  33. 33 Network Layer
  34. 34 Wrapup
  35. 35 How do I get one of those shirts

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