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Kubernetes Meets Confidential Computing - The Different Ways of Scaling Sensitive Workloads

slides:none on file

Three practical patterns for confidential computing on Kubernetes: process enclaves via Intel SGX with language runtimes or Gramine, VM-level isolation using AMD SEV/SNP or Intel TDX for node-wide Constellation clusters, and per-pod VMs via a remote-hypervisor pattern implemented by confidential containers (nested preview on Azure). Orchestration helpers like Marble Run provide attestation, identity and config delivery. Production picks include Germany’s electronic health records on SGX and OCCRP on Constellation; measured overheads sit around 2–10% with I/O and context switches causing most slowdowns.

AI-written summary · about

  1. 0:00Kubernetes and confidential computing
  2. 1:24Confidential computing fundamentals
  3. 8:06Threat model and use cases
  4. 15:53Hardware and trusted execution
  5. 22:13SGX enclaves in Kubernetes
  6. 26:48Confidential VMs in Kubernetes
  7. 31:24Key takeaways
  8. 34:15Q&A on monitoring
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