Volcano: Introduction and Deep Dive into High-Performance Workload Management on Kubernetes

Volcano: Introduction and Deep Dive into High-Performance Workload Management on Kubernetes

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Scenario: Big scale cluster: 10k nodes, 1 million Pod

18 of 22

18 of 22

Scenario: Big scale cluster: 10k nodes, 1 million Pod

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Volcano: Introduction and Deep Dive into High-Performance Workload Management on Kubernetes

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  1. 1 Intro
  2. 2 Cloud Native for Intelligent Workload
  3. 3 Batch on K8s: Challenges
  4. 4 Volcano Overview
  5. 5 Key Concept
  6. 6 Job management
  7. 7 Resource management-Queue
  8. 8 Dynamic resource sharing between queues
  9. 9 Fair share within Queue
  10. 10 Case: hierarchical queue
  11. 11 Scheduling policy in Volcano
  12. 12 Scenario: Elastic scheduling
  13. 13 Scenario: Topology awareness
  14. 14 Scenario: SLA scheduling
  15. 15 Scenario: CPU Topology awareness
  16. 16 Scenario: batch scheduler for Spark
  17. 17 Scenario: Co-location and oversubscription
  18. 18 Scenario: Big scale cluster: 10k nodes, 1 million Pod
  19. 19 Use Case: Al platform at Xiaohongshu
  20. 20 Use Case: Batch at Ruitian investment
  21. 21 Community
  22. 22 Release

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