Scalable Confidential Computing on Kubernetes with Marblerun
summary
Introduces the open-source Marblerun project and explains how it enables confidential computing for Kubernetes workloads. Discusses practical challenges of deploying confidential-computing-enabled containers on K8s and approaches Marblerun uses to address those issues.
AI-written summary · about
chapters (16)
- 0:00Intro
- 0:33Disclaimer
- 5:05The cloud's getting ready
- 6:10Secure enclaves
- 9:53Confidential VMs
- 11:25Use cases
- 13:51Privacy-preserving Al training for driver assistance systems
- 15:54Our open-source portfolio
- 16:35EGO in a nutshell
- 18:11EGO concept
- 20:53MarbleRun concept
- 23:59Confidential Al pipeline
- 25:27Summary
- 26:45Confidential Kubernetes nodes
- 28:00Constellation
- 33:56Apply
related talks
10mScalable Confidential Computing on Kubernetes with Marblerun
40mKubernetes Meets Confidential Computing - The Different Ways of Scaling Sensitive Workloads
49mCloud Native Confidential: Isolating Kubernetes Pods with Confidential Computing
38mCloud native Confidential: Isolating Kubernetes Pods with Confidential Computing- 40mKubernetes Meets Confidential Computing - The Different Ways of Scaling Sensitive...
30mK8s meets confidential computing - the different ways of scaling sensitive workloads
46mConfidential Cloud: Safeguarding Sensitive Data in K8s
05mSponsored Keynote: Bringing Confidential Computing to Kubernetes