Now use Apache Spark, Hive, and Presto on Amazon EMR clusters directly from Amazon Sagemaker Studio for large-scale data processing and machine learning

By Dustin Ward

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…

How to Deploy AWS Config Conformance Packs Using Terraform

By Dustin Ward

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…

Create Amazon SageMaker projects with image building CI/CD pipelines

By Dustin Ward

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.…

Amazon Managed Service for Prometheus is now Generally Available

By Dustin Ward

AWS FeedAmazon Managed Service for Prometheus is now Generally Available At re:Invent 2020, we launched Amazon Managed Service for Prometheus, a fully managed Prometheus-compatible service in Preview on AWS. It is a secure and scalable service customers can utilize to collect infrastructure and application metrics from workloads hosted on various environments, such as Amazon Elastic…