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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