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How ZS democratized secure ad-hoc analytics with Amazon SageMaker

Machine Learning Blog



This article describes how ZS Associates built a secure, healthcare-compliant Amazon SageMaker platform that democratizes ML access while maintaining strict governance across 1,000+ daily active users.

  • Multi-tenant architecture with isolated SageMaker domains, EFS volumes, and IAM roles per tenant
  • Internet-free deployment with VPC endpoints, JFrog Artifactory for package scanning, and KMS encryption by default
  • Custom implementations including automated Space backups, Glue session cost controls, and Streamlit self-service tools
  • Operational efficiency through lifecycle configurations, tag-based cost allocation, and $10K monthly savings via SageMaker Savings Plans
  • Security compliance via network isolation, threat detection, audit logging, and fine-grained access controls
  • Production scale: 200+ domains, 500+ daily users, $50K+ monthly SageMaker spend with centralized governance

ZS demonstrates that developer agility and strict security controls can coexist in regulated industries through thoughtful architecture and targeted customizations.



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