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Fluid - Build Data Orchestration in Kubernetes

name:Yang Che
links:none on file
links:none on file
slides:none on file

Fluid is an open source Kubernetes data-orchestration layer that exposes DataSet and Runtime CRDs, runs cache runtimes (Alluxio/JuiceFS-style) and adds a cache co-locality plugin plus prefetch hooks to the scheduler. Concrete claim: using Fluid’s distributed cache on object storage raises image-loading from ~638 to ~2,800 images/sec and cuts a training job from 1 hour to 24 minutes (4.5×) without hurting accuracy (92.26% → 92.5%). v0.6.0 is released and Alibaba Cloud and Tencent Cloud integrate Fluid in production.

AI-written summary · about

  1. 0:00Intro
  2. 1:09Agenda
  3. 2:35Journey of A Data-driven Company
  4. 5:10Technical Challenges Blocking Faster Adoption
  5. 6:12st Challenge: Complicated Data Storage
  6. 7:39nd Challenge: 1/0 Bottleneck
  7. 9:02rd Challenge: Locality-ignoring Scheduling
  8. 9:49What is Fluid, indeed
  9. 11:44Fluid Architecture
  10. 14:30A Quick Start on Fluid: (1) Create a "Dataset"
  11. 17:18A Quick Start on Fluid: (2) Run Apps with Data Affinity
  12. 17:59Quick Start on Fluid: Auto-scale Dataset
  13. 18:43Demo
  14. 22:46Roadmap
  15. 24:28Plan
  16. 27:01Community & Join Us
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