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Big data analytics on confidential computing with Apache Spark on Kubernetes

Project Overview

Project Detail

This solution uses confidential computing on Kubernetes to run big data analytics with Apache Spark inside confidential containers with data from Azure Data Lake and Azure SQL Database. Confidential computing is provided by Intel Software Guard Extensions and AMD EPYCTM processors with Secure Encrypted Virtualization-Secure Nested Paging. For more information on provisioning an AKS cluster with AMD SEV-SNP confidential VMs, see Confidential VM node pool support on AKS with AMD SEV-SNP confidential VMs. For more information about deploying an AKS cluster with confidential computing Intel SGX agent nodes, see Deploy an AKS cluster with confidential computing Intel SGX agent nodes by using the Azure CLI.

https://learn.microsoft.com/en-us/azure/architecture/example-scenario/confidential/data-analytics-containers-spark-kubernetes-azure-sql

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Big data analytics on confidential computing with Apache Spark on Kubernetes