~/talk

NFD and My Adventure in the Cloud Native Project Jungle

Talkat KubeCon + CloudNativeCon China 2019 · on Monday, 2019-06-24· [kubernetes, nodejs]
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slides:none on file

Node Feature Discovery (NFD) extends Kubernetes by detecting node hardware and software and advertising them as labels so the scheduler can place workloads; it runs daemonset workers per node and a gRPC master that updates Node labels/annotations, rediscovers every 60s, and enforces an allowlist. Feature sources include CPUID, power/turbo, kernel config, NUMA, PCI GPUs and a local hooks and feature files plugin mechanism; labels use the feature.node.kubernetes.io/ namespace. Deployments include master+workers, master with batch workers, or combined pods; mTLS is supported but certificate provisioning is manual.

AI-written summary · about

  1. 0:00Intro
  2. 0:22Agenda
  3. 1:29Introduction
  4. 1:43How I Got Involved
  5. 4:41Resource Management in K8s
  6. 7:11What About Node Features?
  7. 9:01Node Feature Discovery
  8. 9:14NFD - Architecture
  9. 10:46NFD-Worker
  10. 12:56Feature Sources - CPU
  11. 14:58Feature Sources - Kernel
  12. 15:47Feature Sources - System
  13. 16:03Feature Sources - Memory
  14. 16:40Feature Sources - PCI
  15. 17:07Feature Sources - Network
  16. 17:48Feature Sources - IOMMU
  17. 18:07Feature Sources - Local
  18. 18:37Hooks
  19. 20:19Feature Sources - Feature Files
  20. 20:40Configuration Options
  21. 21:30NFD Deployment
  22. 23:15Workload Deployment - node Selector
  23. 23:41Workload Deployment - node Affinity
  24. 25:15Demo Time
  25. 29:07The (Near) Future
  26. 30:07Want To Help?
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