~/talk

Kubernetes Policy Enforcement Using OPA At Goldman Sachs

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Goldman Sachs runs OPA on 12 shared Kubernetes clusters (avg 159 namespaces/cluster) for both validating admission control (e.g., preventing conflicting ingresses) and a novel provisioning via OPA bundles flow where OPA returns JSON Kubernetes resources (RBAC, Quotas, PVs) that a trimmed controller-manager (trimmed) applies with kubectl. Policy/data live in configMaps and bundles; deployment time drops from days to under 10 minutes, median decision latency <30 ms, eventual consistency ~2–5 minutes.

AI-written summary · about

  1. 0:00Intro
  2. 5:50Explanation
  3. 8:10OPA Features
  4. 13:49Uplevel OPA
  5. 14:40Previous approach
  6. 16:44What we wanted
  7. 17:40How OPA works
  8. 19:26Baseline rule
  9. 20:06Special team X
  10. 21:17Queue Management
  11. 23:23Proprietary Data
  12. 25:09Query and Provision
  13. 27:46Metrics
  14. 28:09Evaluation
  15. 29:42Lessons Learned
  16. 30:45Future Work
  17. 31:24Questions
  18. 32:54Inventory Management Workflow
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