~/talk

Cloudy With a Chance of Kubernetes: Going From One To Three Cloud Providers

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Datadog moves from one region on AWS to six regions and 29 edges across three cloud providers by running hundreds of clusters and tens of thousands of nodes on Kubernetes. They build a Software Delivery Platform that runs temporal workflows to roll updates region-by-region, replace Terraform-managed control planes with pods, and implement CRD-backed node groups plus Cluster Autoscaler. Result: most apps migrate to Kubernetes but provider mismatches (storage drivers, L7 load balancers, APIs) still force platform-level workarounds.

AI-written summary · about

  1. 0:00Multi-cloud Kubernetes journey intro
  2. 1:24Reasons for three cloud providers
  3. 2:30Datadog infrastructure history
  4. 4:14Kubernetes for multi-cloud
  5. 6:02Managed K8s challenges 2018
  6. 7:29Custom K8s control planes
  7. 8:53Software delivery platform
  8. 10:18Cross-cluster infra management
  9. 11:59K8s control plane evolution
  10. 13:22Regional control plane deployment
  11. 14:03Abstraction limits and primitives
  12. 15:09Compute layer challenges
  13. 18:42Single pod per node limits
  14. 20:07Pod resource requests and limits
  15. 21:51Instance fleet sizing and costs
  16. 22:33Storage abstraction with CSI
  17. 24:57Networking and CNI evolution
  18. 27:44Cloud service API inconsistencies
  19. 29:51Database abstraction strategies
  20. 30:56Non-tech multi-cloud challenges
  21. 31:37K8s limitations and leakage
  22. 32:41Future perspectives and ongoing improvements
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