AWS FeedJourney to Adopt Cloud-Native Architecture Series: #4 – Governing Security at Scale and IAM Baselining In Part 3 of this series, Improved Resiliency and Standardized Observability, we talked about design patterns that you can adopt to improve resiliency, achieve minimum business continuity, and scale applications with lengthy transactions (more than 3 minutes). As a refresher…
AWS FeedNow use Apache Spark, Hive, and Presto on Amazon EMR clusters directly from Amazon Sagemaker Studio for large-scale data processing and machine learning You can now use open source frameworks such as Apache Spark, Apache Hive, and Presto running on Amazon EMR clusters directly from Amazon SageMaker Studio notebooks to run petabyte-scale data analytics…
AWS FeedTranslate and analyze text using SQL functions with Amazon Redshift, Amazon Translate, and Amazon Comprehend You may have tables in your Amazon Redshift data warehouse or in your Amazon Simple Storage Service (Amazon S3) data lake full of records containing customer case notes, product reviews, and social media messages, in many languages. Your task…
AWS FeedHow to Deploy AWS Config Conformance Packs Using Terraform This post demonstrates how to enable AWS Config and deploy a sample AWS Config Conformance pack using HashiCorp’s Terraform. AWS Config provides configuration, compliance, and auditing features required for governing your resources and providing security posture assessment at scale. This service lets you create managed…
AWS FeedUsing AtScale and Amazon Redshift to Build a Modern Analytics Program with a Lake House By David P. Mariani, Chief Technology Officer – AtScale, Inc.By Jahnavi Jilledumudi, Partner Solutions Architect – AWS AtScale There has been a lot of buzz about a new data architecture design pattern called a Lake House. With a data…
AWS FeedCreate Amazon SageMaker projects with image building CI/CD pipelines Amazon SageMaker projects are AWS Service Catalog provisioned products that enable you to easily create end-to-end machine learning (ML) solutions. SageMaker projects give organizations the ability to use templates that bootstrap ML solutions for your users to speed up the start time for ML development.…