Hosting a private PyPI server for Amazon SageMaker Studio notebooks in a VPC

Amazon SageMaker Studio notebooks provide a full-featured integrated development environment (IDE) for flexible machine learning (ML) experimentation and development. Security measures secure and support a versatile and collaborative environment. In some cases, such as to protect sensitive data or meet regulatory requirements, security protocols require that public internet access be Read more…

Mainframe Data Migration to AWS with Infosys

By Karthik Kumar Guruprasad, Sr. Technology Architect, Mainframe Modernization at Infosys By Vishnu Sankar Gengaraj, Sr. Consultant, Mainframe Modernization at Infosys By Abhishek Ashish, Consultant (Cloud), Mainframe Modernization at Infosys By Vikrama Adethyaa, Sr. Partner Solutions Architect at AWS Mainframe applications have been running the most mission-critical workloads in many Read more…

Controlling and auditing data exploration activities with Amazon SageMaker Studio and AWS Lake Formation

Highly-regulated industries, such as financial services, are often required to audit all access to their data. This includes auditing exploratory activities performed by data scientists, who usually query data from within machine learning (ML) notebooks. This post walks you through the steps to implement access control and auditing capabilities on Read more…