AWS Feed7 ways to improve security of your machine learning workflows In this post, you will learn how to use familiar security controls to build more secure machine learning (ML) workflows. The ideal audience for this post includes data scientists who want to learn basic ways to improve security of their ML workflows, as well…
AWS FeedHow to Get Started with Amazon Route 53 Resolver DNS Firewall for Amazon VPC A DNS lookup is typically the starting point for establishing outbound connections within a network. Unwanted direct communication between Amazon Virtual Private Cloud (VPC) resources and internet services could be prevented using AWS services like security groups, network access control…
AWS FeedField Notes: Scaling Browser Automation with Puppeteer on AWS Lambda with Container Image Support This post is contributed by Bill Kerr, SHI and Raj Seshadri, Global SA Lead, AWS. Imagine you are launching a brand new website selling goods and services. You are expecting a huge amount of traffic due to the seasonality of…
AWS FeedIntroducing the New AWS Mainframe Migration Competency Featuring Validated AWS Partners By Renata Melnyk, Sr. Partner Programs Manager at AWSBy Ramesh Jadhav, Global Lead, Migration Partner Solution Architect at AWSBy Phil de Valence, Mainframe World Wide Tech Leader at AWS More than 70 percent of Fortune 500 companies still run business-critical applications on mainframes,…
AWS FeedFederating CloudEndure access with Microsoft Azure Active Directory This post is written by Adeleke Coker, Sr. Cloud Support Engineer. CloudEndure Migration simplifies the process of migrating applications from physical, virtual, and cloud-based infrastructure. It helps ensure that they are fully operational in any AWS Region without compatibility issues. Getting started is quick regardless of…
AWS FeedSimplify data integration pipeline development using AWS Glue custom blueprints Organizations spend significant time developing and maintaining data integration pipelines that hydrate data warehouses, data lakes, and lake houses. As data volume increases, data engineering teams struggle to keep up with new requests from business teams. Although these requests may come from different teams,…