~/talk

Kubernetes Cross-Zone/Region Simplified: Harnessing Bacalhau for Efficient Distributed Compute

slides:none on file

Argues that moving compute to data cuts transfer costs and compliance risk, demonstrates an open source platform Bacalhau wired into the Kubernetes CRD so one command extends clusters to edge, running over a thousand simulated nodes (≈350 per region) and supporting containers, WᴀSМ/Wom and Java on devices from Raspberry Pi to 8‑GPU servers. Shows rolling thousands of ML jobs in place, updating models in situ, and reducing centralized ETL while preserving observability and auditability under GDPR.

AI-written summary · about

  1. 0:00Introduction
  2. 1:03Infrastructure design flaws
  3. 4:56Cross-zone deployment necessity
  4. 5:59Compute over data architecture
  5. 7:26Efficient data processing scenarios
  6. 8:29Extending Kubernetes with Bakaya CRD
  7. 11:16Global job deployment demo
  8. 14:48Real-time job updates
  9. 16:32Distributed data warehouse use cases
  10. 18:40Near-compute data pipelines
  11. 19:44Data security and GDPR
  12. 21:31Technical requirements
  13. 21:54Summary
  14. 23:18Q&A
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