~/talk

Progress For Big Data In Kubernetes

Talkat Big Data LDN 2018 · 2018-11-28..11-29· [kubernetes, data-engineering]
github:tdunning
slides:none on file

Kubernetes is now ubiquitous (CNCF finds 60–70% of large companies in production) yet it only handles compute; persistent state breaks container fluidity. The concrete solution is a data platform that exposes files tables and streams via a sidecar container driver so existing containers need no code changes, supports Helm deployment, provides a global namespace across clouds and on‑prem, and enables multi‑site replication — examples include manufacturing edge clusters and a bank using jurisdictional partitions.

AI-written summary · about

  1. 0:00Introduction and speaker
  2. 1:26Why Kubernetes adoption
  3. 3:17What is Kubernetes
  4. 5:44Containers vs VMs
  5. 8:16Containers as cattle
  6. 10:45Kubernetes orchestration
  7. 14:44Challenge of state in containers
  8. 15:52Services and streaming
  9. 18:28Need for data platform
  10. 21:46Data orchestration benefits
  11. 23:19Unifying cloud resources
  12. 26:12Further resources
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